The second-hand goods market in Japan has seen extraordinary growth over the past decade, more than doubling in value since 2010. This surge reflects a shift in consumer behavior toward more sustainable and economical choices, driven by the rising popularity of second-hand goods platforms and a cultural focus on quality and reuse.

Our sister company, Cross Marketing Inc., recently conducted a study exploring the purchase behaviors, benefits, and concerns of Japanese consumers regarding second-hand goods. This research highlights key trends shaping the second-hand market and provides valuable insights for brands looking to tap into this growing sector.

Understanding Japan’s Second-Hand Ecosystem

The second-hand market in Japan has evolved into a dynamic and thriving sector driven by affordability, sustainability, and a cultural appreciation for quality. According to our latest study, books and manga are the top choices for second-hand purchases, with almost half of respondents identifying these as their top choices. Games, CDs, and DVDs follow closely at 38%, and cars, bikes, and bicycles at 27%. 

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Japan’s focus on meticulous product preservation and high-quality standards plays a crucial role in the popularity of reused goods. Unlike in some Western markets, where thrift shopping often involves bargain hunting, Japanese consumers seek items that retain their original value, emphasizing condition and authenticity.

Generational differences further highlight the diverse appeal of second-hand goods. Younger consumers in their 20s favor clothing and accessories, reflecting a growing trend toward sustainable fashion. Meanwhile, respondents in their 30s preferred entertainment products like games and DVDs, often driven by nostalgia or affordability. 

Second-Hand-Goods-Purchase-Trends-by-Age-Group-in-Japan

These preferences underline a broader cultural shift toward sustainable consumption, with second-hand shopping becoming a practical and socially conscious choice. As Japan’s second-hand market grows, brands have a unique opportunity to align with these values while addressing consumer concerns about product authenticity and condition. 

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Comparing Japan’s Second-Hand Market to the US and UK

While Japan’s second-hand market is rooted in quality and sustainability, its Western counterparts offer a contrasting yet complementary picture, particularly in the US and UK. In the US, thrift shopping has long been associated with affordability and individuality, with platforms like Goodwill and Poshmark. Meanwhile, the UK has seen a rise in sustainability-focused resale platforms such as Depop and Vinted, driven by a younger audience concerned about environmental impact.

Key Differences in Consumer Behavior

  • In Japan, second-hand goods are often valued for their pristine condition and longevity, reflecting a cultural emphasis on care and maintenance. By contrast, in the US, the “thrill of the hunt” for unique or vintage finds plays a larger role in consumer motivation.
  • Western markets, particularly in the UK, see a stronger emphasis on sustainability as a driver for second-hand purchases, aligning with broader environmental movements.

Retail Strategies Across Markets

  • In the US and UK, the second-hand ecosystem thrives on a mix of traditional thrift stores and digital marketplaces. The convenience of online platforms has expanded their reach significantly, mirroring Japan’s growing reliance on e-commerce for second-hand goods.
  • Japanese brands can integrate Western best practices, such as authenticity certifications and user-friendly online interfaces, to address domestic consumer concerns about quality and transparency.

Lessons for Global Brands

Understanding cultural nuances is key for brands operating across these regions. Western markets offer insights into leveraging sustainability and community-driven marketing, while Japan provides lessons in quality assurance and brand trust. Together, these approaches highlight the global potential of the second-hand market, which continues to grow as consumers increasingly prioritize affordability and environmental impact.

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Opportunities and Challenges for Brands in the Second-Hand Market

The second-hand market in Japan presents a unique opportunity for brands to tap into shifting consumer behaviors and the growing demand for sustainable solutions. However, with these opportunities come challenges that require strategic navigation.

Opportunities for Brands

  1. Incorporating Resale Initiatives:
    Brands can embrace resale programs to strengthen their sustainability credentials. Companies like Patagonia and Uniqlo have successfully introduced programs for reselling used items, building trust and fostering customer loyalty.
  2. Meeting Demand for Affordability and Quality:
    By offering second-hand options at competitive prices, brands can attract cost-conscious consumers while maintaining quality assurance, a key expectation in Japan.
  3. Leveraging Digital Platforms:
    As e-commerce dominates second-hand transactions, brands can partner with online platforms or build resale marketplaces, offering enhanced transparency, authenticity guarantees, and user-friendly experiences.
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Challenges for Brands

  1. Addressing Consumer Concerns:
    Trust remains a significant hurdle, with concerns about product condition, authenticity, and hygiene topping the list. To alleviate these fears, brands must invest in clear product descriptions, certifications, and return policies.
  2. Balancing Resale and New Product Sales:
    Expanding resale operations without cannibalizing new product sales requires careful pricing strategies and consumer education about the benefits of new and used offerings.
  3. Navigating Cultural Nuances:
    Focusing on pristine condition and authenticity in Japan is critical, whereas Western consumers may be more accepting of minor imperfections. Tailoring marketing strategies to these expectations is essential for success.

Case Study: Mercari – Transforming Japan’s Second-Hand Marketplace

Image Credit: Forward2Me

Background

Established in 2013, Mercari has rapidly become Japan’s leading community-powered marketplace. It enables individuals to buy and sell various items directly from their smartphones. The platform boasts over 23 million monthly active users (MAUs) in Japan.

Approach

Mercari’s success can be attributed to several strategic initiatives:

  1. User-Friendly Platform
    Mercari’s intuitive interface simplifies buying and selling, making it accessible to a broad demographic. Users can list items by simply uploading photos and adding descriptions, while buyers can easily search and filter listings to find desired products.
  2. Trust and Safety Measures
    Mercari has implemented an escrow-based payment system to foster trust among users. This system ensures funds are securely held until the buyer confirms receipt of the item in satisfactory condition. This approach minimizes the risk of fraud and enhances user confidence in transactions.
  3. Promotion of the Circular Economy
    Mercari’s mission emphasizes creating value in a global marketplace where anyone can buy and sell, promoting the reuse of goods and contributing to environmental sustainability. Mercari supports the reduction of waste and efficiently uses resources.

Results

Mercari’s innovative approach has solidified its position as Japan’s largest C2C marketplace. The platform’s extensive user base and diverse listings have made it a go-to destination for consumers seeking common and unique items. Mercari’s efforts have also contributed to normalizing second-hand shopping in Japan, aligning with global trends toward sustainable consumption.

Takeaway for Brands

Mercari’s model demonstrates the potential of combining user-centric design with robust safety features to build a thriving online marketplace. Brands looking to enter or expand within the second-hand market can draw valuable insights from Mercari’s strategies, particularly in fostering trust, promoting sustainability, and leveraging technology to enhance user experience.

Patagonia’s Worn Wear program is another example of how brands can integrate sustainability and second-hand initiatives into their core operations, enhancing their environmental impact and consumer loyalty.

Strategic Insights: Leveraging the Second-Hand Trend for Brand Success

As the second-hand market expands in Japan, brands have a significant opportunity to align with shifting consumer values while addressing key challenges. Below are actionable strategies for brands to capitalize on this growing trend.

1. Build Trust Through Transparency

Consumer trust is paramount in the second-hand ecosystem, especially in Japan, where authenticity and quality are critical. Brands can:

  • Implement product certifications to verify authenticity.
  • Provide detailed product descriptions and high-resolution images for online listings.
  • Offer buyer protection programs, including inspection guarantees and hassle-free return policies.

2. Embrace Digital Innovation

E-commerce drives the second-hand revolution, and brands must prioritize digital platforms to stay competitive. Strategies include:

  • Creating dedicated second-hand sections on official websites.
  • Partnering with popular resale platforms like Mercari or Rakuma to reach existing audiences.
  • Leveraging AI and data analytics to personalize recommendations and identify resale demand trends.

3. Integrate Sustainability Into Marketing

Highlighting the environmental benefits of second-hand shopping can resonate with eco-conscious consumers. Brands should:

  • Promote circular economy initiatives, such as buy-back or trade-in programs.
  • Use storytelling to emphasize the sustainability impact of choosing reused goods over new items.
  • Collaborate with sustainability influencers to amplify their message.

4. Balance Resale with New Product Strategies

Second-hand sales should complement, not cannibalize, new product sales. Brands can achieve this by:

  • Pricing second-hand goods strategically to differentiate them from new products.
  • Using resale platforms to attract new customers who may transition to buying new items.
  • Introducing exclusive collections or limited-edition items for resale to maintain product desirability.

5. Draw Inspiration from Global Markets

Western markets like the US and UK offer valuable lessons on branding and consumer engagement in the second-hand space:

  • Adopt the community-driven marketing tactics popular on platforms like Depop.
  • Explore partnerships with thrift-focused organizations to enhance brand visibility and credibility.

The Second-Hand Market as a Long-Term Strategy for Brands

The rise of Japan’s second-hand market signals more than just a shift in consumer preferences – it reflects a broader evolution in how value, sustainability, and quality are perceived. From books and clothing to cars and collectibles, Japanese consumers are embracing reused goods for their affordability, unique appeal, and contribution to a circular economy.

This presents a compelling opportunity for brands to innovate and connect with consumers on deeper levels. Companies can build trust by addressing key concerns like product authenticity, quality, and transparency while carving a niche in this growing sector. Initiatives like resale platforms, trade-in programs, and partnerships with second-hand marketplaces are no longer optional – they are critical strategies for staying relevant.

The success of platforms like Mercari demonstrates the immense potential of this market, while global examples from Western markets show the scalability of second-hand strategies. As the reuse economy grows, brands that adapt quickly and strategically will thrive and lead toward a more sustainable and consumer-centric future.

The second-hand market is here to stay. For brands ready to align with this transformative trend, the time to act is now.

Contact us today for in-depth insights and strategic recommendations tailored to your brand’s needs. Let’s explore how your business can tap into Japan’s second-hand market and drive sustainable growth.

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A pair of limited-edition sneakers sells out in seconds. A countdown timer warns shoppers to buy now—or miss out. An influencer teases an exclusive event, restricted to a select few. Despite a surplus of consumer choices, brands are making products deliberately harder to buy.

Scarcity, urgency, and FOMO—the fear of missing out—have become core strategies in modern marketing, shaping how consumers shop and perceive value. What once seemed like organic demand is now carefully engineered. From luxury brands restricting supply to streaming services pulling content after 24 hours, the result is the same: consumers feel pressured to act before it’s too late.

How did brands turn psychology into a marketing machine? And when does persuasion cross into manipulation? As companies refine these tactics, the ethics of influence are becoming harder to ignore.

Why Consumers React to Scarcity, Urgency, and FOMO

Consumers like to believe they make rational decisions, weighing options and choosing what best fits their needs. The reality? Decisions are often driven by instinct. Scarcity, urgency, and fear exploit cognitive biases, triggering impulse rather than logic.

Scarcity: The Fear of Limited Supply
Nothing fuels demand like the illusion of rarity. When something is harder to get, it feels more valuable. Behavioral economist Richard Thaler’s research supports this: scarcity drives desire. Luxury brands have perfected the game. Hermès doesn’t limit Birkin bag production due to material shortages—it’s a strategy to keep the bags exclusive. Tech companies use the same approach. PlayStation 5’s perpetual “out of stock” status during launch wasn’t just supply chain issues—it kept consumers hooked, waiting for their moment to buy.

Urgency: The Pressure of Time
Hesitation feels like a loss when the clock is ticking. The Zeigarnik Effect, a psychological tendency to remember unfinished tasks, drives consumers to complete a purchase before the window closes. E-commerce platforms have perfected this trigger. Amazon’s “Lightning Deals” refresh hourly, urging shoppers to act fast. Travel sites flash “Only 2 rooms left!” warnings to heighten anxiety. The result? Split-second decisions with little time for second thoughts.

FOMO: The Power of Social Influence
Social media has turned FOMO into a marketing force. Seeing friends attend exclusive events or snag limited drops triggers an urgency no ad campaign can match. Snapchat and Instagram Stories disappear after 24 hours, making users compulsively check-in. Brands engineer this further with invitation-only product launches – think Clubhouse’s early-access model or Supreme’s drop culture. The goal isn’t just to sell; it’s to make consumers feel they’re part of something others can’t have.

Brands That Have Mastered Psychological Triggers

Some brands don’t just use scarcity, urgency, and FOMO; they’ve built their entire business models around them. They’ve turned these psychological levers into powerful revenue drivers by engineering desire and controlling access.

Hermès: The Art of Scarcity
No waiting lists. No online checkout. No guarantee of purchase even if you can afford it. The Hermès Birkin bag isn’t just a handbag; it’s a masterclass in controlled scarcity. By severely limiting production and requiring buyers to develop relationships with sales associates, Hermès ensures demand always outstrips supply. The result? A resale market where Birkins appreciate like investments, sometimes selling for double their retail price. In an industry where most items eventually go on sale, Hermès has made being unable to buy its product the ultimate status symbol.

Amazon: Urgency at Scale
E-commerce thrives on speed, and Amazon has utilized urgency better than anyone. Limited-time “Lightning Deals,” countdown timers, and messages like “Only 3 left in stock!” nudge consumers toward checkout. Prime Day, the company’s annual shopping event, is a prime example of when millions of deals disappear within hours, pushing shoppers to act fast. Amazon sells the anxiety of missing out on a bargain.

Supreme: FOMO in Its Purest Form
Supreme’s business model is built on hype. The streetwear brand’s infamous “drops” happen weekly, with products selling out in minutes, sometimes seconds. By keeping supply deliberately low and collaborating with high-profile brands, Supreme fuels a cycle of exclusivity and demand. Fans don’t just buy Supreme; they line up for hours to compete for the chance. With a resale market where items often fetch triple their original price, the brand has turned FOMO into a profitable ecosystem of scarcity-driven desire.

Social Commerce Meets FOMO with TikTok Shop:
TikTok has taken FOMO-driven shopping to a new level. By integrating e-commerce directly into its platform, the app encourages impulse purchases through time-sensitive deals and influencer-driven recommendations. “Only available for the next 24 hours” captions, live shopping events, and viral trends create a sense of now-or-never urgency. The difference? Consumers aren’t just buying from brands – they’re buying because their favorite creators make them feel like they’ll miss out if they don’t.

These brands are selling access, exclusivity, and the psychological rush of securing something before it’s gone. However, as consumers become more aware of these tactics, brands must ask themselves: how long before urgency turns into exhaustion?

Where Do Brands Draw the Line?

Scarcity, urgency, and FOMO are undeniably effective, but when does persuasion cross into manipulation? As brands push these psychological triggers harder, consumers are starting to push back.

Artificial Scarcity – Manufacturing Hype or Deception?
Not all scarcity is real. Some brands intentionally create stock shortages to generate buzz, only to quietly restock later. Luxury brands have long used this tactic, but now, even fast-fashion and tech companies are adopting it. Many product releases “sell out” in minutes, only reappearing later on resale platforms at inflated prices. The illusion of exclusivity works, but at what cost? Consumers are growing wary of brands that manufacture demand rather than earn it.

Urgency Fatigue – When Consumers Stop Caring
Constant countdown timers, flashing “limited stock” warnings, and one-day-only deals can lose their impact when overused. Studies show that consumers who repeatedly encounter false urgency eventually stop responding. Travel booking sites have faced regulatory scrutiny for exaggerating scarcity and listing “only one room left” when more are available. When urgency becomes routine rather than real, brands risk credibility.

FOMO Burnout – The Mental Toll on Consumers
Social media-driven FOMO isn’t just a marketing tool; it’s an emotional trigger. The pressure to stay ahead, secure the latest drop, or participate in an exclusive event can lead to anxiety and compulsive spending. A survey by Credit Karma found that nearly 40% of millennials have gone into debt because of FOMO-fueled purchases. Brands that lean too heavily on this strategy risk alienating consumers who feel manipulated rather than empowered.

Regulation and Consumer Backlash
Regulators are beginning to crack down. The UK’s Competition and Markets Authority (CMA) has fined companies for misleading urgency tactics. In the U.S., the Federal Trade Commission (FTC) has warned brands against deceptive scarcity claims. Consumers, too, are becoming more vocal, calling out brands for fake limited editions and “forever sales.”

Scarcity, urgency, and FOMO can drive engagement, but brands that misuse these tactics risk long-term damage. Once lost, trust is difficult to regain. The challenge now is clear: how can brands create real value?

How Brands Can Apply Psychological Triggers Effectively

Scarcity, urgency, and FOMO aren’t inherently unethical when used correctly, they can enhance customer experience, create meaningful engagement, and drive sales without alienating consumers. The key is authenticity. Brands that use these psychological triggers responsibly build stronger relationships with their audience, while those that rely on deception risk losing credibility.

Authentic Scarcity – When Limited Means Limited
Consumers can spot artificial scarcity. If a product is marketed as exclusive but keeps reappearing, trust erodes. Instead, brands should create real constraints, whether through limited production runs, seasonal availability, or exclusive collaborations. Hermès maintains exclusivity by restricting supply, while high-end automotive brands use limited releases to sustain long-term desirability.

Strategic Urgency – Pressure Without Manipulation
Urgency works best when it feels natural, not forced. Time-sensitive promotions should be genuine, like early-bird event pricing, flash sales with clear expiration dates, or rewards for loyal customers who act quickly. Travel companies, after facing scrutiny for misleading urgency tactics, are shifting toward more transparent messaging, highlighting real-time booking trends rather than fabricating scarcity.

FOMO-Driven Engagement – Creating Experiences, Not Just Sales
FOMO doesn’t have to be about fear; it can be about excitement and belonging. Brands that foster community-driven experiences see long-term success. Exclusive memberships, VIP access, and interactive product launches tap into the power of FOMO while providing real value. For instance, TikTok’s live shopping feature blends urgency with entertainment, encouraging consumers to engage rather than feel pressured.

The Long Game – Balancing Demand with Trust
Short-term sales tactics can generate immediate results, but brands that rely too heavily on them risk fatigue. The most successful companies use scarcity, urgency, and FOMO sparingly, ensuring that when they do, it feels special. Transparency is key. If consumers understand why a product is limited, why a sale is ending, or why an offer is exclusive, they’re more likely to trust the brand and return for future purchases.

Scarcity, urgency, and FOMO are some of the most powerful marketing tools, but their real strength lies in their use. Brands that use them responsibly will not only drive conversions but also build lasting loyalty in a market where trust is harder to earn than ever.

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The Future of Scarcity, Urgency, and FOMO in Marketing

As consumers grow savvier, brands must rethink how they use psychological triggers. The old playbook – endless countdown timers, fake exclusivity, and misleading urgency – no longer works. Trust is becoming the new currency, and brands that misuse these tactics risk long-term damage.

AI-Driven Personalization – The Next Evolution of Urgency
Instead of blasting the same urgency messages to everyone, brands now leverage AI to make scarcity and FOMO feel personal. E-commerce platforms analyze browsing habits and purchase history to create dynamic, hyper-targeted urgency. Rather than generic “Only 3 left in stock!” alerts, AI can now tell a shopper, “This item has been viewed 200 times in the past hour by customers in your city.” This shift makes urgency more relevant and harder to ignore.

Web3 and Digital Scarcity – The New Luxury?
Blockchain is reshaping the concept of exclusivity. NFTs, tokenized memberships, and limited digital assets are turning scarcity into a verified, traceable feature rather than a marketing gimmick. In fashion and entertainment, brands are experimenting with “phygital” drops, where limited-edition physical products are tied to digital ownership, making them impossible to replicate or mass-produce. The result? Scarcity that is verifiable, not just implied.

The Consumer Backlash: Brands Walking a Fine Line
Consumers are pushing back against overused urgency tactics. The rise of anti-FOMO movements, such as the slow fashion trend, conscious consumerism, and “buy less, buy better” messaging, signals a shift away from impulse-driven spending. Brands that continue to rely on aggressive scarcity marketing without delivering real value could find themselves losing consumer trust.

The Shift Toward Ethical Marketing
Regulations will only get stricter, and consumer expectations will only rise. The future belongs to brands that create demand without deception – companies that balance excitement with authenticity. Whether through genuine exclusivity, AI-powered personalization, or blockchain-backed scarcity, the next wave of marketing won’t be about forcing consumers to act. It will be about making them want to.

Urgency still matters with fleeting attention spans. But in the future, the most successful brands will not just create FOMO – they’ll create something worth waiting for.

The Fine Line Between Influence and Manipulation

Scarcity, urgency, and FOMO have shaped modern marketing, but they are no longer foolproof tactics. Consumers today are more informed, more skeptical, and less willing to be pressured into making purchases. The brands that continue to rely on outdated urgency tricks risk alienating their audience, while those that evolve will be the ones that thrive.

The future of marketing isn’t about manufacturing demand; it’s about meeting it in smarter ways. Real scarcity, backed by transparent supply constraints. Urgency that reflects genuine time-sensitive value, not fabricated pressure. FOMO that fuels community and belonging rather than consumer anxiety.

The brands that win in this landscape will be the ones that recognize a simple truth: consumers don’t just want to buy; they want to believe. And belief is built on trust, not tricks.

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When Miguel and Mikayla Reyes launched Quesadilla Gorilla in Visalia, California, they weren’t just selling quesadillas – they were tapping into a growing demand for customization. By letting customers build their meals with fresh ingredients and signature salsas, they transformed a small local shop into a rapidly expanding chain.

Fast food chains are no longer defined by speed alone – choice now drives the industry. Consumers are rejecting fixed menus in favor of meals that fit their diets, tastes, and lifestyles. A 2024 report by Tillster found that one in three quick-service diners skipped a restaurant because it lacked customization, a jump from 21% the previous year.

Personalization isn’t just a trend – it’s an expectation. More than half of diners (58%) say they’re more likely to recommend a fast food chain if they had a positive custom-ordering experience. For Quick Serve Restaurants or QSRs, that’s not just about loyalty – it’s about survival.

QSRs are racing to keep up, using technology to turn customization from a challenge into a competitive advantage. Self-service kiosks, now fixtures in many chains, fuel this shift. Demand is rising fast – 57% of diners want more of them, up from 36% last year. Beyond convenience, kiosks give customers greater control over their meals, making customization seamless.

But technology alone isn’t enough. A seamless experience matters just as much as the ability to customize. Nearly nine in ten diners (89%) say inconsistency across locations frustrates them, and more than half (57%) will take their business elsewhere because of it. Fast food chains that embrace personalization but fail to execute it uniformly risk losing the very customers they’re trying to attract.

Image credit: Quesadilla Gorilla

Quesadilla Gorilla is proof that customization isn’t just a gimmick – it’s a growth strategy. By giving customers complete control over their meals, the California-based chain has built a cult-like following and expanded rapidly. When diners feel ownership over what they’re eating, they don’t just return – they become brand ambassadors.

The Consumer-Driven Shift

Fast food was built on uniformity – the same burger, the same fries, the same experience. But consumers now expect meals that reflect their diets, values, and preferences – and they’re willing to pay for that control.

A recent report found that 72% of fast food customers prefer restaurants with personalized ordering, and a third have ditched a restaurant that lacked it. The message is clear: if QSRs don’t offer customization, someone else will.

Dietary Needs Are Driving Change

Health-conscious consumers and specialized diets are reshaping fast food. More people are adopting plant-based, keto, and allergen-free options, forcing QSRs to adapt. In the UK, a study found that 34% of Brits follow a flexitarian, vegetarian, or vegan diet. McDonald’s responded with its McPlant burger – a fully vegan option that proved so popular it became a permanent menu item.

Gluten-free and allergen-conscious dining is no longer niche – it’s mainstream. In the US, 32 million people have food allergies, and one in ten adults avoids gluten. QSRs that once overlooked these needs are now making them a priority. Chipotle lets customers filter its entire digital menu by allergens and diet preferences, making ordering safer and easier.

Regional Preferences Are Reshaping Menus

Personalization isn’t a one-size-fits-all trend – it looks different in every market. In Japan, MOS Burger lets customers swap ingredients for vegan, keto, or high-protein options. In India, where 40% of the population is vegetarian, McDonald’s runs separate vegetarian kitchens in select locations to meet demand.

Image credit: Salad Stop!

Customization in Southeast Asia is shaped by local food culture. In Singapore, SaladStop! thrives on made-to-order salads and grain bowls, catering to a region where 65% of consumers prioritize fresh, healthy ingredients (Statista, 2024). In South Korea, Lotteria’s “Mix Your Own Burger” system lets customers pick everything from the bun to the sauce, tapping into a younger generation that values choice.

Fast Food No Longer Means Fast Decisions

Fast food has evolved from a mass-production model to a made-for-you experience. Consumers expect meals to match their dietary needs and personal values and are willing to pay for that control. Whether it’s plant-based options, high-protein choices, or allergen-free meals, customization is no longer a perk; it’s the baseline. The brands that keep up are driving higher order values and stronger customer loyalty. Those that fall behind risk becoming irrelevant.

How AI and Technology Are Making It Possible

Technology is reshaping fast food, making personalization scalable. AI and machine learning are making customization scalable, helping restaurants tailor meals while streamlining operations. For fast food chains, this isn’t just about convenience – it’s about survival in an era where consumer expectations are shifting faster than ever.

AI-Powered Ordering Systems

Image credit: Wendy’s

Automation is now streamlining drive-thru service. Wendy’s has partnered with Google Cloud to roll out FreshAI, a voice assistant designed to speed up service and reduce errors. Already in 100 locations, the system is set to expand to 600 outlets by 2025. While some diners appreciate the efficiency, others miss the human touch – highlighting the tension between automation and experience in fast food’s tech-driven future.

Digital Kiosks and Personalization

Self-service kiosks are not just about convenience – they’re becoming personalized digital waiters. AI-driven kiosks now remember past orders, suggest meal pairings, and tailor recommendations based on dietary needs. By reducing friction and speeding up service, these machines are transforming customer interactions – and helping fast food chains increase sales along the way.

Machine Learning for Menu Customization

The smartest menus now learn from you. Machine learning lets QSRs track past orders, adapt to dietary preferences, and even tweak menus based on ingredient availability. Running low on an item? The system suggests an alternative in real-time. Beyond customer convenience, these AI-driven menus help restaurants reduce waste, streamline inventory, and boost margins.

Operational Efficiency Through AI

AI isn’t just in the front of house—it’s redefining kitchen operations behind the scenes. Predictive analytics help QSRs anticipate demand, adjust staffing, and keep inventory tight. The same technology can even flag equipment issues before they cause breakdowns, cutting costly downtime. The result? Faster service, lower costs, and a more efficient back-end operation.

This shift isn’t just changing how customers order – it’s restructuring the entire industry, from kitchen design to staffing strategies.

Business Impact and Industry Disruption

The push for hyper-personalization is reshaping how fast food chains operate, forcing them to balance customization with efficiency. Kitchens once designed for assembly-line efficiency are now adapting to a made-to-order model – one that delivers choice but also adds complexity. While brands that get it right see higher sales and stronger customer loyalty, those that can’t balance personalization with efficiency risk slowing down service and driving up costs.

Rethinking fast food Kitchens

Fast food kitchens are undergoing a major overhaul to meet the demands of customized ordering. McDonald’s is experimenting with automation at a Texas location, where robots handle grilling and order assembly. Meanwhile, AI-powered kitchen display systems (KDS) are helping restaurants reduce human error and improve efficiency.

Chipotle’s “Chipotlanes” are redefining the drive-thru experience. By separating app-based orders from in-store transactions, these digital lanes reduce congestion and speed up fulfillment. CEO Brian Niccol reports that digital sales reached 37% of total revenue in 2023 – a figure likely to climb as more customers opt for customized meals.

The Business Upside

Customization isn’t just a consumer preference – it’s also good for business. A study by McKinsey & Company found that brands offering personalized experiences drive 40% more revenue than competitors that stick to traditional menus. In fast food, higher-order values, repeat purchases, and improved brand loyalty are the biggest wins.

Data collection is another major advantage. Every custom order provides insight into consumer preferences, allowing QSRs to fine-tune menu options, predict demand, and minimize food waste. A report by the National Restaurant Association found that smart inventory management driven by AI could reduce waste by up to 15%, saving businesses millions annually.

The Hidden Costs of Personalization

Despite the upside, the shift toward extreme customization brings new risks. More complex orders require more ingredients, increased prep time, and a higher likelihood of operational slowdowns. In 2023, Shake Shack’s CFO, Katie Fogertey, noted that over-customization led to longer wait times, straining kitchens and frustrating customers.

There’s also the cost of technology. AI-powered ordering systems, digital kiosks, and smart kitchen tech require significant upfront investment – something smaller franchises may struggle to afford. According to a 2024 industry analysis by Deloitte, the cost of implementing AI-driven food prep technology can range from $500,000 to over $2 million per location, depending on the scale of automation.

For QSRs, the challenge is clear: how to balance efficiency with personalization without sacrificing speed or profitability. Some are leaning on AI, others on pre-set customization limits, but one thing is certain – fast food is no longer just about being fast.

Fast Food’s New Balancing Act: Customization Versus Efficiency

Fast food chains are under pressure to rethink their entire model as customization moves from novelty to necessity. The old system of standardized meals is being replaced by flexible menus that cater to individual preferences, but adapting at scale is no easy feat. While personalized ordering can boost sales and improve inventory management, the operational complexities are mounting – forcing even the biggest QSRs to reassess how they function.

Kitchens Built for Speed Are Getting a Makeover

The shift toward customization is forcing QSRs to rethink not just their menus, but their kitchens. Designed for efficiency and volume, traditional back-of-house operations are now struggling to accommodate a growing demand for personalized meals. Chains that once thrived on uniformity are now experimenting with new layouts, technology, and automation to keep up.

Quick-service chains are automating to stay competitive. McDonald’s is testing a robotics-driven location in Texas, where AI-powered kiosks and automated fry stations are reducing labor costs and speeding up prep times. At the same time, Chipotle is using automation in its kitchens, piloting robotic tortilla chip makers to streamline production without disrupting customization. As QSRs scale automation, the challenge isn’t just efficiency – it’s integrating technology without sacrificing the personalized experience customers expect.

More Choices, Bigger Profits

Customization isn’t just about consumer preference – it’s driving higher spending at fast food chains. Research from Deloitte highlights that brands excelling in personalization see stronger customer engagement and long-term loyalty. Meanwhile, studies on digital ordering trends show that consumers spend more when they can modify their meals, opting for premium ingredients or add-ons. For QSRs, this means a direct link between menu flexibility and increased revenue, making personalization more than just a marketing tool – it’s a business strategy.

Data is another major driver. Every custom order provides valuable insight into consumer preferences, allowing QSRs to refine menus, optimize ingredient sourcing, and reduce food waste. AI-driven inventory tracking is helping QSRs minimize waste and maximize margins. The National Restaurant Association estimates these systems could save restaurants millions annually by optimizing ingredient use.

The Cost of Getting Personal

Offering limitless choices isn’t always good for business. Shake Shack CFO Katie Fogertey warned that an influx of custom orders slowed service and strained kitchen operations, frustrating both customers and staff. More ingredients mean more prep time, higher operational costs, and a greater risk of bottlenecks – issues that can erode the efficiency QSRs rely on.

The shift toward automation comes with a steep price tag. AI-powered kiosks, digital ordering systems, and robotic kitchen assistants require significant upfront investment. A 2024 Deloitte report estimates the cost of implementing AI-driven food prep technology ranges from $500,000 to over $2 million per location – an expense that could widen the gap between industry giants and smaller franchises.

QSRs are now walking a tightrope between customization and efficiency. Some are doubling down on AI to streamline operations, while others are setting boundaries on how much personalization they allow. The brands that strike the right balance will define the next era of fast food – one where convenience and choice must work in sync.

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The Future of Hyper-Personalized Fast Food

The next wave of fast food will be shaped by technology and consumer demand for hyper-personalization. What was once a novelty is fast becoming the norm, with AI-driven pricing, predictive meal planning, and real-time nutrition tracking set to redefine how QSRs serve their customers.

Dynamic Pricing

Dynamic pricing, long used in airlines and hotels, is now entering fast food. AI-powered pricing models adjust costs in real-time based on demand, location, and even weather. A surge in lunchtime traffic? Expect a slight uptick in menu prices. A slow afternoon? Discounts might appear to draw in customers. The goal isn’t just profit – it’s about balancing kitchen efficiency and customer flow to avoid bottlenecks.

AI-Generated Meal Plans

AI-driven meal planning is changing how customers interact with fast food menus. Using past orders, dietary preferences, and budget constraints, algorithms can now recommend tailored meals in real time. Billionaire Marc Lore, through his company Wonder, is betting on AI-powered meal curation that personalizes menus to match individual needs. The result? A shift from one-size-fits-all offerings to menus that adapt to customers – not the other way around.

Personalized Nutrition Tracking

Nutrition-conscious consumers are demanding more than just quick meals – they want food that fits their health goals. fast food chains are tapping into this trend by linking menus to wearable tech and health apps, offering real-time meal recommendations based on calorie needs, macros, or fitness plans. By turning fast food into a data-driven dining experience, QSRs are positioning themselves as allies in personal wellness rather than just a convenient option.

Regulatory and Ethical Considerations

AI-powered personalization isn’t without controversy. With fast food chains collecting customer data to refine menus and pricing, concerns over privacy and data security are growing. The 2024 exposure of the WildChat dataset, which leaked sensitive AI interactions, highlighted the risks of poor data handling. If QSRs want consumers to embrace AI-driven dining, they must prove their systems are transparent, secure, and not exploiting personal data for profit.

AI-driven menus raise another concern – are they truly serving consumers, or just steering them toward higher-margin meals? Critics warn that AI could prioritize profits over nutrition, subtly pushing customers toward pricier, less healthy choices. Regulators are beginning to scrutinize how food brands deploy AI, with calls for transparency around algorithmic decision-making and whether recommendations serve the diner or the bottom line.

Empowering Consumers in the Age of Personalization

Fast food is no longer a one-size-fits-all industry. Consumers expect choices that reflect their health goals, ethical beliefs, and personal tastes – shifting from passive diners to active decision-makers. But with more power comes more risk. The industry must find a way to balance innovation with transparency, ensuring that personalization enhances, rather than exploits, the dining experience.

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A billion people depend on India’s wheat harvests. What happens when the heat rises too fast for crops to survive?

Export bans. Soaring grain prices. A scramble for alternatives. Across Asia and beyond, food systems are under strain as extreme weather makes staple crops increasingly unpredictable. In response, scientists in China have developed drought-resistant rice to protect food security, yet consumer skepticism remains high. 

Meanwhile, in the US, biotech giants like Bayer and Syngenta are pushing climate-proof seeds, but supermarket shelves still prominently feature “Non-GMO” labels – proof that consumer hesitation lingers despite scientific advancements.

This paradox defines the future of food security. Climate change is upending agriculture at an unprecedented pace – longer droughts, erratic rainfall, and rising temperatures are cutting into global crop yields. In response, agribusinesses and research institutions are racing to develop climate-resilient crops that can withstand these harsh conditions. The science is advancing rapidly, but will consumers accept it in time?

The science behind genetically engineered crops is well-established, yet skepticism remains deeply entrenched. Public attitudes vary widely: China and India are ramping up biotech adoption to secure food supplies, while Japan and the UK remain resistant, prioritizing “natural” and organic labels. Meanwhile, Southeast Asia – a critical agricultural hub – faces a delicate balancing act, weighing the urgency of food security against long-standing cultural reservations about modified crops.

The question now is whether scientific innovation can outpace consumer skepticism. As extreme weather disrupts global food systems, climate-resilient crops could be the key to stabilizing agriculture. But will they gain mainstream acceptance in time, or will regulatory delays and public distrust slow their adoption? The outcome could determine whether the world’s farmers can keep feeding a growing population in an era of climate volatility.

The Climate Crisis Driving Innovation

Climate change is no longer a looming threat – it is already redrawing the global agricultural map. Farmers in some of the world’s most productive regions are contending with crippling droughts, unpredictable monsoons, and heat waves that arrive earlier and last longer. Yields are dropping, and supply chains are fraying. The stakes are high: without immediate adaptation, food security in major economies will be under serious threat within the next two decades.

Science has a solution – but can it scale fast enough? Researchers are developing crops that withstand floods, survive heat waves, and thrive in drought-stricken soil. Yet the challenge isn’t just in the lab. Getting these climate-resilient crops into the hands of farmers – before extreme weather renders existing varieties obsolete – is the real test.

The Data on Climate Impact on Agriculture

The warning signs are already here. In some of the world’s biggest agricultural hubs, extreme weather is slashing yields and reshaping the future of food production.

  • United States: The US Corn Belt, which supplies nearly a third of global corn exports, is in jeopardy. The USDA warns that by 2050, heat stress could cut corn yields by 30% – and in some areas, losses could reach 44%. California’s almond industry is already feeling the strain, with water shortages forcing growers to abandon thousands of acres of orchards.
  • Asia: Rice, the staple for more than half the world’s population, is under direct threat. FAO projections show that by 2050, rice yields across Asia could fall by 15% due to rising temperatures and unpredictable monsoons. Thailand and Vietnam – two of the world’s biggest rice exporters – are already struggling with prolonged droughts, shaking global supply chains.
  • Indonesia and the Philippines: Archipelagic nations like Indonesia and the Philippines aren’t just battling drought – they’re losing farmland to the sea. Salinization is creeping inland, making traditional rice paddies unviable. Farmers are being forced to pivot to salt-tolerant and flood-resistant varieties, but adaptation is slow.
  • Singapore: As a nation that imports more than 90% of its food, Singapore is acutely vulnerable to agricultural disruptions. To counter this, it is betting on vertical farms and gene-edited crops as a way to build a more self-sufficient food supply.

The Urgency for Climate-Resilient Crops

As climate extremes intensify, scientists are in a race against time to engineer crops that can survive the chaos. Governments and research institutions are doubling down on drought-proof wheat, flood-resistant rice, and heat-tolerant corn – hoping to keep food supplies stable in an increasingly unpredictable world.

  • China: In the country’s northern plains, farmland is turning to dust. Desertification is creeping southward, threatening wheat and rice yields in one of the world’s biggest food producers. In response, China is fast-tracking drought-resistant crop trials, hoping to shore up food security before harvests take a major hit.
  • Indonesia: Rice paddies are drowning. Every year, typhoons and monsoon floods submerge vast swathes of farmland, wiping out crops overnight. Now, the government is betting on submergence-resistant rice – strains designed to survive weeks underwater. If successful, these biotech varieties could become a lifeline for Southeast Asia’s most populous nation.
  • Singapore: In a city where farmland is scarce, food security is a growing concern. The island nation imports more than 90% of its food, leaving it vulnerable to supply chain shocks. To counter this, Singapore is betting on gene-edited crops and vertical farms, pushing the boundaries of high-tech agriculture. The government’s 30 by 30 initiative is a bold attempt to produce 30% of the country’s nutritional needs locally by 2030 – a challenge for a nation where skyscrapers vastly outnumber fields.

The science is clear – climate change is moving faster than agriculture can adapt. Farmers are already struggling to keep up. The real battle now isn’t just about innovation – it’s about trust. Will policymakers and the public embrace the science in time to prevent a global food crisis?

The Science Behind Climate-Resilient Crops

The fight to secure the future of food is happening in laboratories as much as in fields. As rising temperatures, droughts, and erratic weather threaten global harvests, scientists are engineering crops that can survive extreme conditions. But not all solutions are the same – some rely on age-old techniques, while others push the boundaries of genetic science.

GMOs vs. CRISPR vs. Selective Breeding: What’s the Difference?

  • Genetically Modified Organisms (GMOs): This approach involves inserting foreign DNA into a plant’s genome to introduce traits that wouldn’t naturally occur. The most well-known example is Bt corn, which carries a gene from the soil bacterium Bacillus thuringiensis – allowing it to produce a protein lethal to insect pests but harmless to humans. Despite widespread use, GMOs remain a flashpoint of debate, with critics raising concerns over long-term ecological impact and corporate control of seeds.
  • CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats): A revolution in genetic science, CRISPR offers a scalpel-like precision compared to the blunt instrument of traditional GMOs. Instead of inserting foreign DNA, this gene-editing tool allows scientists to modify a plant’s own genes, enhancing traits like drought resistance or disease immunity without introducing external genetic material. Because CRISPR mimics natural mutations, regulators in countries like Japan and the UK are moving to fast-track approvals, arguing it is closer to selective breeding than traditional genetic modification.
  • Selective Breeding: The oldest agricultural tool in human history, selective breeding has shaped the crops we eat today – from sweeter apples to drought-hardy wheat. Farmers crossbreed plants with favorable traits over multiple generations, slowly refining resilience, flavor, and yield. But in a world where climate change is accelerating, this slow, incremental process may no longer be enough. Unlike CRISPR or GMOs, selective breeding is constrained by what exists in nature, limiting how quickly crops can adapt to rising temperatures and shifting rainfall patterns.

Golden Rice: A Case Study in Asia

A bowl of rice can mean the difference between sight and blindness. In parts of Asia, where rice is a staple but diets lack essential nutrients, millions of children suffer from vitamin A deficiency (VAD), a condition that can cause blindness and even death. Enter Golden Rice – a genetically engineered grain designed to deliver life-saving nutrients to those who need them most. But despite its promise, this crop has spent more time in policy debates than in the hands of farmers.

In the 1990s, scientists Ingo Potrykus and Peter Beyer set out to solve a deadly problem – how to infuse rice, the primary food source for billions, with a nutrient that could save lives. Their solution: Golden Rice, a genetically modified variety engineered to produce beta-carotene, the precursor to vitamin A. Its distinctive golden hue isn’t just for show – it’s a sign that the grain carries the potential to prevent blindness and child mortality across Asia.

But Golden Rice’s journey from lab to field has been anything but smooth. Activists have torched test plots, anti-GMO campaigns have labeled it “Frankenfood,” and bureaucratic red tape has stalled its approval for years. While scientists hail it as a game-changer for nutrition, critics argue that it opens the door to greater corporate control of the food system and unknown environmental risks. The question remains: is the world ready to accept a genetically engineered solution to malnutrition?

After two decades of political battles and scientific trials, Golden Rice has finally reached farmers’ fields. In 2021, the Philippines became the first country to approve it for commercial cultivation, marking a milestone in the fight against malnutrition. Other nations, including Bangladesh and India, are still weighing its adoption. But even with regulatory green lights, the biggest hurdle remains: Will consumers embrace it?

Science alone won’t decide the fate of Golden Rice – trust will. Dr. Adrian Dubock, one of its leading advocates, believes acceptance hinges on education and transparency. “The successful deployment of biofortified crops like Golden Rice depends not only on scientific innovation but also on building public trust,” he says. That trust, however, has been decades in the making – and is still far from guaranteed.

The Global Divide on Consumer Trust

A technology that can feed the world is also one of the most divisive. While some countries champion biotechnology as the future of farming, others reject it outright, driven by deep-seated cultural beliefs, political decisions, and misinformation. The result? A fractured global food system, where scientific breakthroughs face vastly different levels of consumer acceptance – shaping everything from government policy to supermarket shelves.

Consumer Perception Across Key Markets

  • United States: Once a battleground for GMO opposition, the US is slowly shifting toward acceptance. A 2020 Pew Research Center survey found that 27% of Americans believe GMOs are safe to eat, while 38% consider them unsafe. Yet, old fears die hard. Supermarket aisles are still packed with “non-GMO” labels, even on foods that have no genetically modified equivalent – more a marketing strategy than a scientific necessity.
  • China: The government wants biotech crops, but the people remain unconvinced. A 2023 China Agricultural University study found that 55% of Chinese consumers still oppose eating GM foods, citing safety concerns and deep distrust of corporate-controlled agriculture. Yet Beijing isn’t waiting for public sentiment to change. By classifying CRISPR-edited crops as “precision breeding” rather than genetic modification, regulators are pushing forward with gene-edited agriculture – betting that branding will make all the difference.
  • India: Farmers embrace GM crops. Consumers reject them. The divide couldn’t be clearer. While Indian farmers widely cultivate pest-resistant genetically modified cotton, a Statista survey found that 45% of Indian consumers actively avoid GM foods, citing fears of health risks. Despite this, the government is inching toward approving GM mustard – a decision that has sparked protests and political infighting.
  • Japan and the United Kingdom: Few places are more resistant to biotech foods than Japan and the UK. In Japan, over 70% of consumers favor “natural” labels, and government restrictions on GMOs remain among the toughest in the world. The UK, meanwhile, has begun rethinking its stance post-Brexit, with officials debating whether gene-edited crops should be regulated separately from traditional GMOs. But consumer sentiment hasn’t caught up to policy changes – demand for organic and non-GMO options remains strong.
  • Southeast Asia: A region caught between food security concerns and biotech skepticism. The Philippines made history as the first nation to approve Golden Rice, but protests from anti-GMO activists have slowed its rollout. In Indonesia and Thailand, gene-edited crops are being tested, but public skepticism keeps governments cautious. Meanwhile, Singapore – a leader in agritech – is moving ahead with lab-grown and gene-edited foods, though consumer acceptance remains uncertain.

The Role of Misinformation in Fueling Skepticism

Fear spreads faster than facts. Nowhere is this more evident than in the debate over genetically modified foods. Social media has supercharged public skepticism, fueling viral claims about “Frankenfoods” and exaggerated health risks. A recent study in Nature Food found that misinformation about GMOs spreads six times faster than science-backed evidence – giving fear an outsized influence on consumer perception.

“The future of billions of people literally depends on changing the narrative about how we view genetically modified food and genetic technologies,” says Professor Ian Godwin, a plant geneticist at the University of Queensland. “Misinformation has distorted public perception, and we need to refocus the conversation on science, safety, and the role of biotechnology in food security.”

The real challenge isn’t just growing climate-resilient crops – it’s convincing consumers to accept them. With climate change straining global food supplies, the gap between scientific innovation and public perception has never been wider. If biotech crops are to help feed the future, winning public trust may matter just as much as the next agricultural breakthrough.

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The Industry’s Strategy to Win Over Consumers

Science is on one side. Public opinion is on the other. Despite overwhelming evidence that genetically engineered crops are safe, skepticism remains one of the biggest hurdles to widespread acceptance. In response, the biotech industry is rethinking its messaging – rebranding GMOs, influencing regulations, and tapping into behavioral science to shift consumer sentiment.

How Food Companies Are Rebranding GMOs and Gene-Editing

The term “GMO” has become a branding disaster. Decades of fear-based messaging have turned it into a red flag for many consumers, prompting biotech firms to distance themselves from the label altogether. Now, companies and policymakers are rewriting the language of genetic innovation – betting that new terminology will reshape public perception.

The new labels sound less like science and more like sustainability slogans:

  • “Precision Breeding” – the UK’s preferred term, positioning gene-edited crops as an extension of traditional breeding rather than genetic modification.
  • “Climate-Smart Crops” – a phrase gaining traction, emphasizing the role of biotech in reducing agriculture’s environmental footprint.
  • “Next-Gen Agriculture” – used by industry giants like Bayer and Syngenta to make gene editing sound more futuristic and consumer-friendly.

But this isn’t just a marketing play – it’s a regulatory strategy. In countries like China and the UK, policymakers are reclassifying CRISPR-edited crops as something separate from GMOs, making them easier to approve and less likely to spark consumer backlash. The distinction matters: if gene editing is seen as “breeding” rather than “modification,” it faces fewer restrictions – and far less public scrutiny.

Corporate Investments in Gene-Edited Foods

The race to secure climate-resilient crops isn’t just happening in labs – it’s now a boardroom priority. Major food corporations are pouring millions into biotech investments, betting that gene-edited foods will protect their supply chains from climate shocks and shifting consumer demands.

  • Nestlé is backing CRISPR-edited coffee beans that can survive rising temperatures without losing flavor or yield – an urgent investment as climate change threatens global coffee production.
  • Unilever has teamed up with agritech firms to develop gene-edited oilseed crops, positioning gene-editing as a tool to make plant-based foods more sustainable.
  • PepsiCo is investing in drought-resistant potato strains, aiming to reduce the environmental footprint of its global snack empire.

These corporate bets aren’t just about innovation – they’re about survival. As extreme weather upends agriculture, food giants are moving to insulate their supply chains before climate disruption hits their bottom line.

Can Branding Change the Narrative?

Rebranding genetically modified organisms (GMOs) can influence public perception, but it doesn’t alter the underlying realities. Behavioral science indicates that consumer trust is built through education and transparency, not just terminology shifts. A 2022 study by the European Food Safety Authority found that consumers were 40% more likely to accept gene-edited foods when provided with clear, science-backed explanations of their benefits.

Dr. Kevin Folta, a plant scientist at the University of Florida, emphasizes the importance of clear communication: “Stop using ‘GMO.’ It is imprecise. Everything not arising as a clone is genetically modified from previous forms.”

The future of food isn’t just about innovation – it’s about persuasion. As climate pressures mount and global food demand rises, gaining consumer trust is essential for genetic breakthroughs to reach their full potential. The stakes extend beyond corporate profits; they encompass the future of global food security.

The Future of Climate-Resilient Crops

The future of food is being rewritten – one policy, one investment, and one breakthrough at a time. As climate change threatens global food systems, governments are redrawing the regulatory landscape for genetically modified and gene-edited crops. Some nations are fast-tracking approvals to ensure food security, while others remain trapped in political and public pushback. Meanwhile, agritech startups are seeing an influx of capital, and carbon markets are emerging as unexpected drivers of sustainable agriculture. The question is no longer if biotech crops will play a role in feeding the future, but how quickly they will be embraced.

How Governments Are Handling Biotech Crops

China is breaking its long-standing GMO hesitation – and food security is the reason. In late 2023, the government greenlit commercial planting of gene-edited soybeans and corn, a major policy shift for the world’s largest food importer. Officials have positioned the move as an economic and strategic necessity – designed to cut reliance on foreign seed technology, boost domestic yields, and protect China’s food supply from worsening climate volatility.

India remains deeply divided on biotech crops. While farmers champion genetic innovation as key to improving yields, environmental groups continue to push back against its expansion. The Supreme Court is now weighing a landmark case on GM mustard, a ruling that could set the tone for future biotech approvals. Farmers argue that modified crops are critical to boosting productivity, but critics warn of corporate seed monopolies and environmental fallout. Despite the deadlock, India has already embraced GM cotton – the question is whether food crops will be next.

Post-Brexit, the UK is embracing biotech in a way the EU never did. In 2023, lawmakers fast-tracked the Genetic Technology (Precision Breeding) Act, slashing EU-era restrictions and making Britain a testing ground for gene-edited agriculture. Officials argue that CRISPR crops should not be lumped together with traditional GMOs – a move designed to attract investment in gene-edited wheat, oilseeds, and climate-resilient fruits. With fewer regulatory hurdles, the UK is positioning itself as a biotech leader in Europe.

Southeast Asia is turning to biotech and urban farming to secure its food future. Singapore is leading the charge with its “30 by 30” initiative, investing heavily in vertical farming and gene-edited crops to meet 30% of its nutritional needs domestically by 2030. Indonesia, meanwhile, is channeling capital into agritech startups focused on climate-resilient crops – but policymakers remain wary of fully legalizing GMOs. The region’s approach reflects a balancing act between food security and public caution.

Investment Trends in Biotech Agriculture

Biotech investment is no longer a niche bet – it’s a global race. As climate volatility disrupts food production, investors are pouring capital into agricultural biotechnology, betting that genetic innovation will be the key to long-term food security. The global agri-biotech market is projected to hit $104 billion by 2030, fueled by demand for climate-smart crops, precision breeding, and gene-editing breakthroughs.

Venture capital is chasing the next frontier in food tech: gene-editing. Unlike traditional GMOs, CRISPR-edited crops face fewer regulatory hurdles, making them a safer bet for investors. Startups like Tropic Biosciences, Pairwise, and Inari Agriculture have secured major funding rounds, developing crops such as fungus-resistant coffee and nutrient-enhanced leafy greens. The appeal is clear – gene-edited foods promise climate resilience without the regulatory baggage of older biotech crops.

The Role of Carbon Markets in Driving Adoption

The future of biotech crops could be shaped by an unlikely force: carbon markets. Indonesia and Vietnam are rolling out carbon credit initiatives that reward farmers for adopting regenerative agriculture practices – including biotech crops that boost soil health and reduce chemical inputs. If these incentives take off, farmers could be financially rewarded for planting gene-edited crops that sequester carbon, use less water, or cut fertilizer reliance. This shift could turn biotech adoption into not just an environmental decision, but an economic one.

Biotech crops are no longer just a scientific breakthrough – they are becoming an economic and political necessity. The intersection of government policy, venture capital, and sustainability incentives is redefining agriculture, with gene-edited crops at the center of the debate. While regulatory fights continue, one thing is clear: the success of biotech crops won’t be decided in labs – it will be decided by farmers, investors, and consumers.

The Race Between Innovation and Acceptance

Climate change isn’t waiting for regulatory approvals or consumer sentiment to catch up. Extreme weather is already reducing global crop yields, disrupting supply chains, and putting food security at risk in regions dependent on staple crops like wheat, rice, and corn. Scientists are engineering solutions, policymakers are reshaping regulations, and agribusinesses are scaling up climate-resilient crops – but none of it matters if regulatory roadblocks and consumer hesitancy delay adoption.

Some nations are moving forward. China and the UK are accelerating approvals for gene-edited crops, while India and Southeast Asia remain caught between the urgency of food security and deep-rooted public hesitation. The industry has rebranded, investors are funneling billions into biotech, and breakthroughs have produced crops that can withstand extreme heat, require less water, and resist disease.

For climate-resilient crops to reach their potential, three critical shifts must take place:

  • Public education must dismantle outdated GMO fears – moving beyond decades-old misconceptions and clearly explaining how modern gene editing differs.
  • Companies must change how they communicate biotech benefits – focusing on sustainability and nutrition rather than technical jargon that alienates consumers.
  • Regulators must find a balance between public trust and innovation – streamlining approvals without ignoring consumer concerns.

The future of food security won’t be decided in labs – it will be decided in grocery aisles, political chambers, and consumer conversations. The race between scientific progress and public acceptance will determine whether climate-resilient crops become a global necessity – or a solution that came too late.

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B2B marketers have traditionally relied on account-level intent data, measuring company-wide engagement signals – website visits, content downloads, and webinar attendance – to identify potential buyers. But as decision-making power fragments across multiple stakeholders, these broad indicators are proving unreliable. Marketers aren’t just missing key players in the buying process; they’re wasting valuable resources targeting the wrong ones.

The playbook for digital tracking is being rewritten. With third-party cookies nearing extinction and privacy laws tightening, marketers are losing access to the passive behavioral insights they once took for granted. Marketers who once depended on aggregated company data to guide outreach are finding it increasingly difficult to pinpoint high-intent buyers. At the same time, the B2B buying journey has become more independent, with decision-makers conducting research long before speaking with vendors.

To navigate these shifts, companies are turning to buyer-level intent data, a more precise approach that focuses on individual engagement rather than generalized company activity. By tracking specific behaviors – such as downloading whitepapers, attending webinars, or engaging with product demos – marketers can identify real decision-makers, improve targeting, and accelerate the sales cycle.

The impact of this shift is already reshaping how businesses identify and engage potential buyers. The way B2B buyers engage has changed – and marketers are struggling to keep up. A 2023 Demand Gen Report revealed that 68% of B2B buyers now complete much of their research independently, long before speaking with a sales rep. This shift means old-school lead tracking methods – waiting for buyers to fill out a form or request a demo – are losing relevance fast. Account-level intent data – long considered a reliable indicator of interest – now often misdirects marketing efforts by signaling company-wide activity without revealing who within the organization is actually making decisions.

The inefficiencies are not just inconvenient – they are costly. Forrester (2024) reports that companies relying solely on account-level intent data misallocate up to 40% of their sales and marketing resources by targeting the wrong contacts. In response, leading enterprises such as Adobe, Salesforce, and IBM are investing in first-party and zero-party data strategies to refine how they track and engage actual buyers, shortening sales cycles and improving marketing ROI.

Marketers who continue to rely on outdated tracking models may soon struggle to keep up. As third-party tracking fades and precision targeting becomes the industry standard, companies that fail to adapt risk falling behind competitors who have already embraced buyer-level insights.

The End of Account-Level Intent Data? 

Account-level intent data is no longer an asset – it’s a liability. The strategy that once shaped demand generation is now misleading marketers and misallocating budgets. Marketers have relied on broad signals – such as employees from the same company visiting a website – to gauge interest. Yet these indicators rarely reveal who within the organization has the authority to buy.

The inefficiencies are hard to justify. Studies show that nearly half of marketing budgets are misallocated because traditional tracking targets businesses, not the people making purchasing decisions. A recent LinkedIn B2B Institute report underscores the problem: only 17% of B2B decision-makers engage with cold outreach, making a scattershot approach increasingly ineffective.

The Cookiepocalypse: A Catalyst for Change

At the same time, data privacy laws and the decline of third-party cookies are forcing companies to rethink their strategies. With Google’s 2024 cookie phase-out, digital marketing is entering uncharted territory. For years, third-party cookies provided a passive, behind-the-scenes view of buyer behavior, allowing companies to infer intent without direct engagement. Now, with GDPR in Europe and CCPA in California tightening restrictions, the industry is at a crossroads: marketers must transition to first-party tracking or risk losing buyer visibility altogether.

The shift away from account-level tracking isn’t just about privacy concerns – it’s about effectiveness. Without third-party cookies or unrestricted tracking, marketers can no longer rely on aggregated company activity to infer buying intent. A company’s employees may be researching solutions, but without knowing who is leading the conversation, outreach efforts remain a gamble.

Industry Perspective: Why Marketers Are Moving On

Most marketing teams still get one thing wrong: they target companies instead of the people making decisions. Lee Odden, CEO of TopRank Marketing, sees this flaw firsthand:

This realization is pushing B2B firms toward buyer-level intent tracking, a more precise and privacy-compliant approach that focuses on identifying real decision-makers rather than broad company interest.

The Rise of Buyer-Level Intent Data

As traditional tracking methods fall short, buyer-level intent data is emerging as the solution. Unlike broad company-wide signals, this approach focuses on real individuals actively researching and evaluating solutions. For sales and marketing teams struggling with inefficiencies, this shift is more than a tactical adjustment – it’s a competitive necessity.

A More Targeted Approach

Buyer-level intent data captures specific behavioral signals that indicate a prospect’s actual interest. Instead of aggregating website visits or company-wide engagement, this method pinpoints:

  • Who downloaded a whitepaper or attended a webinar, signaling early-stage interest.
  • Who engaged with case studies or product demos, indicating deeper evaluation.
  • Who interacted with sales emails or initiated direct contact, revealing purchase readiness.

By mapping these real-time behaviors, marketing teams can craft more personalized outreach, while sales teams can engage high-intent buyers at the right moment, increasing efficiency and conversion rates.

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Adoption Across the Industry

Leading B2B firms are overhauling their sales strategies by shifting to buyer-level intent tracking. Instead of casting a wide net, they are using real-time behavioral signals to prioritize engagement with actual decision-makers. By aggregating behavioral signals across digital channels, these tools help companies separate genuine prospects from passive interest. Some solutions integrate AI-driven analytics to prioritize outreach, identifying which individuals within an organization are actively evaluating a purchase rather than relying on vague company-wide activity.

The results are significant. A shift toward buyer-level intent tracking isn’t just theoretical – it’s driving real revenue gains. In one case, companies leveraging intent-driven targeting reported a 32% jump in lead-to-sale conversions, according to a Heinz Marketing study. Instead of chasing broad signals, these firms focused on high-intent buyers and saw immediate results.

A Data-Driven Competitive Edge

With B2B sales cycles becoming more complex, companies that pinpoint individual decision-makers are gaining a clear edge over competitors still relying on outdated tracking models. Businesses investing in buyer-level intent strategies report:

  • Higher engagement rates, thanks to more relevant, data-driven outreach.
  • Shorter sales cycles, as sales teams connect with prospects at the right moment.
  • Improved marketing efficiency, with resources directed toward buyers already in-market.

The shift is no longer optional – it’s a necessity for companies looking to stay ahead in a landscape where precision targeting is becoming the industry standard.

How Companies Are Using It

For businesses adopting buyer-level intent tracking, the results go beyond theory. By pinpointing decision-makers rather than chasing vague company-wide signals, sales and marketing teams are refining how and when they engage high-intent prospects. Instead of launching broad campaigns hoping to reach the right people, companies are now delivering highly targeted outreach based on real-time behavioral data.

Precision in Sales Outreach

The biggest transformation is in how sales teams prioritize and engage leads. Instead of filtering prospects by job title or company size, businesses are leveraging real-time intent signals to determine who is actively researching solutions and ready to buy. This shift allows for more strategic engagement, reducing wasted effort on unqualified leads and focusing resources where they matter most.

Tech giants like Adobe and Salesforce have already embedded buyer-level intent tracking into their sales enablement platforms, refining when and how their teams engage prospects. By analyzing interactions with content, pricing pages, and product demos, their sales reps are no longer relying on cold outreach or guesswork – they are reaching buyers at the right time, with messaging aligned to their specific interests. The result? Higher response rates and fewer wasted efforts.

AI-Powered Insights and Predictive Analytics

This shift isn’t just about who to contact – it’s about when. AI-driven tools are now deciphering behavioral signals to predict buying intent with unprecedented accuracy. These platforms track real-time engagement patterns – such as how often a prospect revisits a pricing page or downloads a product whitepaper – helping sales teams determine when a buyer is nearing a decision.

A 2024 Forrester study found that a leading cloud software company saw a 45% increase in engagement rates after abandoning traditional lead scoring in favor of AI-powered buyer intent tracking. Sales reps no longer pursued cold prospects – instead, they prioritized high-intent buyers, reducing their sales cycle length by 25% and significantly improving conversion rates.

Industry Perspective: A More Strategic Approach

Matt Heinz, President of Heinz Marketing, sees this shift as a defining moment in sales strategy:

In an industry where deals are won or lost based on timing, acting too early means wasting resources; acting too late means losing to a competitor. Buyer-level intent tracking eliminates the guesswork, giving sales teams a real-time view into when a prospect moves from research to serious consideration.

A Competitive Edge in B2B Marketing

Companies that have moved beyond broad account-level tracking are seeing the benefits firsthand. By aligning outreach with actual buyer behavior, sales and marketing teams report:

  • Higher engagement rates, as prospects receive outreach tailored to their stage in the buying process.
  • More effective content strategies, with marketing teams producing insights that match real decision-making needs.
  • Shorter sales cycles, as sales teams identify and engage buyers before they formally enter the pipeline.

As B2B buying behavior grows more complex, relying on outdated tracking models is no longer sustainable. Companies still measuring broad company engagement rather than individual buyer activity risk wasting resources on leads that will never convert. Meanwhile, competitors using buyer-level insights are moving faster, engaging smarter, and closing deals while others are still chasing prospects that have already made a decision.

Ethical Considerations and Privacy Compliance

As companies shift to buyer-level intent tracking, the debate over data privacy and ethical marketing is growing. With regulators and consumers pushing for greater transparency, businesses that fail to adapt risk eroding trust and facing legal scrutiny. Unlike third-party tracking – where users are often monitored without their knowledge – buyer-level intent data operates on consent.

Why Opt-In Data Matters

The difference isn’t just technical – it’s fundamental. Traditional intent tracking relied on third-party cookies and passive data collection, often gathering user behavior without explicit approval. Buyer-level tracking, in contrast, is built on opt-in engagement, meaning prospects knowingly share their information. This includes:

  • Webinar registrations and gated content downloads.
  • Surveys and preference selections.
  • Direct interactions with sales and marketing campaigns.

A recent TrustArc study found that 73% of B2B buyers prefer companies that are transparent about how their data is used, reinforcing the need for clear, ethical data practices.

A Legal and Competitive Shift

The tightening of privacy laws worldwide is forcing companies to rethink how they collect and use data. Regulations such as GDPR in Europe and CCPA in California have already placed strict limits on tracking without consent, and Google’s Privacy Sandbox initiative is set to further restrict access to behavioral insights. Businesses that fail to adapt risk not only compliance issues but also losing consumer trust in an era where privacy expectations are higher than ever.

Unlike third-party tracking, first-party buyer intent strategies comply with evolving regulations by gathering data only from individuals who have actively opted in. But knowing who is engaging isn’t enough – companies need to understand what’s driving them.

This is where market research becomes essential. Buyer-level intent tracking may show who downloads a whitepaper or attends a webinar, but it doesn’t explain why they are searching, what pain points they are trying to solve, or what barriers exist before a purchase. Without deeper research, even the most advanced intent tracking risks misinterpreting engagement signals.

Market Research’s Role in the Buyer Intent Revolution

Buyer-level intent tracking reveals who is engaging and how they behave – but without market research, the why behind their decisions remains a mystery. Without insights into buyer motivations, barriers, and triggers, intent signals risk being misinterpreted, leading sales teams to pursue the wrong prospects. Tracking behavioral data is only one piece of the puzzle – understanding the motivations behind those behaviors is what turns data into strategy.

Traditional quantitative and qualitative research methods provide the context needed to validate and refine intent signals, ensuring companies aren’t just chasing clicks but engaging with real buyers who have a clear path to purchase. By combining survey research, focus groups, and ethnographic insights with real-time behavioral tracking, businesses can move beyond surface-level engagement data and uncover why buyers are searching, what they need, and what factors influence their decisions.

Market research also plays a crucial role in segmenting intent data effectively. Not all high-engagement prospects are equally valuable – without proper segmentation, companies risk wasting resources on buyers who may be interested but lack decision-making authority or budget alignment. By integrating attitudinal and psychographic research into intent tracking, businesses can build a complete picture of their buyers – not just who they are but what drives them to act.

The Future of Buyer Intent Tracking 

B2B marketing is moving into a new phase, driven by AI, privacy-first strategies, and shifting data collection models. Companies that once relied on broad third-party tracking are now investing in AI-driven analytics and zero-party data to better understand and engage real buyers. The focus is shifting from passive tracking to active, consent-based insights, giving businesses a clearer, more accurate picture of buyer behavior without compromising privacy.

AI’s Role in Predicting Buyer Behavior

Advancements in machine learning and predictive analytics are transforming how companies interpret intent signals. AI-driven platforms now track patterns of engagement across multiple touchpoints – from whitepaper downloads to webinar participation – allowing businesses to determine not just who is interested, but when they are likely to act. Instead of relying on broad lead scoring models, sales teams can now prioritize real-time buyer readiness, increasing conversion rates and shortening deal cycles.

The End of Third-Party Dependence

With Google’s phase-out of third-party cookies, businesses are being forced to rethink how they collect and apply customer data. The reliance on passive tracking is fading, replaced by first-party and zero-party data strategies that capture explicitly shared intent signals rather than inferred behavior. This shift is not just about compliance – it’s about building trust and credibility in a market where buyers are increasingly wary of invasive tracking practices.

Industry Outlook: What’s Next?

Industry forecasts suggest that the shift to buyer-level intent tracking is only accelerating. Research shows that companies shifting to buyer-level intent tracking are already seeing a measurable advantage. In one industry survey, B2B firms using AI-driven buyer intent models reported higher engagement rates and faster sales cycles compared to those relying on account-based signals. Companies that fail to make this transition will not only struggle with lead quality – they risk being left behind in a market that increasingly values data transparency and hyper-personalized engagement.

A New Reality for B2B Marketing

For B2B companies, buyer-level intent tracking is no longer an emerging trend – it’s the new reality. The shift away from third-party tracking and broad account-level signals is reshaping how businesses generate demand, allocate resources, and close deals. In a competitive environment where timing, precision, and ethical data collection are becoming key differentiators, companies that fail to adapt will find themselves chasing leads that never convert while competitors secure high-intent buyers first.

This isn’t just an incremental improvement – it’s a fundamental restructuring of how marketing and sales teams identify and engage potential customers. Companies still relying on outdated tracking models will continue wasting budgets on low-quality leads, while those leveraging buyer-level insights will increase efficiency, shorten sales cycles, and improve conversion rates.

This isn’t just an evolution – it’s an ultimatum. The B2B world is changing fast, and the companies that master buyer-level intent tracking will control the future of sales and marketing.

The cost of hesitation? Wasted budgets. Slower deal cycles. Watching competitors close deals that should have been yours.

The question isn’t whether intent tracking will define the next era of demand generation – it already is. The only real question is whether your company will lead the shift, or get left behind.

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They don’t fit into a neat generational box, yet they are shaping the future of commerce, content, and connectivity. Meet Gen C – Generation Connected, a powerful psychographic group that defies traditional demographics. Unlike millennials, Gen X, or Gen Z, they aren’t defined by birth years but by behavior: always-on, digitally fluent, and community-driven.

For brands, Gen C is both an opportunity and a challenge. They consume, create, and curate content with the same intensity. They expect seamless digital experiences, hyper-personalized interactions, and authentic engagement, not just advertising. The old marketing playbook doesn’t work anymore. This generation of connected consumers trusts people over logos, conversations over campaigns, and social proof over brand messaging.

Fail to meet their expectations, and they’ll move on in seconds. Get it right, and they’ll be your most loyal advocates, driving sales, amplifying your brand, and influencing others.

So, who exactly is Gen C, and what do brands need to know to connect with them? Let’s break it down.

What Defines Gen C? A Psychographic Shift Beyond Age Groups

Gen C isn’t a demographic, it’s a mindset. They are the connected consumers, a group shaped by digital behaviors rather than conventional generational divides. Whether they’re 16 or 60, they share a common DNA: hyper-connected, content-driven, and community-focused.

Unlike traditional generations, Gen C doesn’t passively consume media; they shape it. They create TikTok trends, spark viral conversations, and turn niche products into overnight sensations. They move seamlessly across devices, platforms, and experiences, demanding instant access, real-time interactions, and highly personalized content.

But their defining trait? They trust people over institutions. Influencers, online reviews, and peer recommendations hold more weight than corporate messaging. Traditional ads fall flat; authenticity and relevance win every time.

For brands, this means a fundamental shift: marketing to Gen C isn’t about broadcasting; it’s about engaging. It’s about being part of their ecosystem, earning their trust, and delivering value beyond the product. Anything less, and they’ll swipe away without a second thought.

The DNA of Gen C – How They Consume, Create, and Influence

Gen C doesn’t just consume content—they shape the digital world. Every post, review, and share is an extension of their identity. They are not passive audiences; they are creators, curators, and critics who expect brands to meet them on their terms.

Hyper-Personalization is Their Standard

Gen C has no patience for generic marketing. They expect AI-driven recommendations, interactive content, and frictionless transactions tailored to their preferences. Netflix knows what they’ll binge next. Spotify builds playlists based on their mood. Amazon anticipates their next purchase. If a brand doesn’t offer this level of personalization, they’ll find one that does.

From Consumers to Creators

For Gen C, content is currency. They don’t just watch videos; they produce them. TikTok trends, YouTube vlogs, Instagram reels – they create, share, and remix content at scale. They influence what’s cool, what sells, and what goes viral. A single review or unboxing video can make or break a brand.

Community-Driven Commerce

This generation trusts real people over brand messaging. They seek recommendations from Reddit, Discord, and micro-influencers, not corporate ads. They are more likely to buy a product shared by a trusted friend than one promoted by a celebrity. Social proof is their decision-making engine.

The Death of Passive Consumption

They multitask across devices, skipping ads in seconds. They crave interactive experiences like live shopping, AR try-ons, and direct brand engagement. Static content is dead. Brands that fail to create immersive, engaging experiences will be left behind.

For brands, this means rethinking the traditional marketing funnel. Gen C doesn’t just want products; they want experiences, authenticity, and a reason to engage. If a brand doesn’t deliver, they’ll move on—fast.

Case Study: CeraVe’s Digital Marketing Success

CeraVe, a skincare brand developed by dermatologists, has adeptly navigated the Gen C terrain through innovative marketing strategies emphasizing authenticity, community engagement, and digital fluency. Their approach offers a compelling case study on connecting with the connected consumer.

Strategic Influencer Partnerships

Image credit: The Guardian

CeraVe’s collaboration with skincare influencer Hyram Yarbro exemplifies effective engagement with Gen C. Known for his candid and educational content, Yarbro’s genuine endorsement of CeraVe products, particularly their cleansers and moisturizers, resonated with his audience. This partnership not only enhanced CeraVe’s credibility but also significantly increased its visibility among digitally savvy consumers.

Innovative Campaigns

Image Credit: PRN

In a bold move, CeraVe launched the “Michael CeraVe” campaign during Super Bowl LVIII. The campaign played on the phonetic similarity between the brand’s name and actor Michael Cera, creating a month-long conspiracy theory that Cera was behind the brand. This narrative was amplified by 450 influencers, resulting in 15.4 billion earned impressions before the official commercial aired, revealing the truth. The campaign not only garnered widespread attention but also led to a 25% increase in sales.

Educational Content and Community Engagement

CeraVe has also focused on creating educational content that demystifies skincare, aligning with Gen C’s desire for informative and valuable information. By partnering with dermatologists and leveraging social platforms, CeraVe provides content that educates consumers about skincare routines and the science behind their products. This approach has solidified CeraVe’s position as a trusted brand among Generation C.

CeraVe’s approach highlights the importance of understanding and engaging with the connected consumer on their terms.

The Connected Consumer Economy and How Gen C is Reshaping Business

Gen C is dismantling traditional business models. They demand seamless digital experiences, personalized engagement, and brands that move as fast as they do. The old rules of loyalty, advertising, and customer retention no longer apply.

Seamless Integration is Non-Negotiable

Gen C expects frictionless transactions across devices and platforms. A slow-loading website, a clunky checkout process, or a lack of mobile optimization is enough to lose them. They move effortlessly between social media, e-commerce, and real-world interactions, expecting brands to provide a consistent, integrated experience across all touchpoints.

Speed, convenience, and omnichannel accessibility define their expectations.

Loyalty is Transactional

Gen C does not pledge long-term brand loyalty, at least not in the traditional sense. Instead, they assess value in real time. Subscription models, gamified loyalty programs, and membership-based communities are replacing outdated customer retention tactics. If a competitor offers a better, faster, or more relevant experience, they will switch instantly.

Nike’s SNKRS app is a powerful example of community-driven loyalty. It doesn’t just sell sneakers; it creates an interactive buying experience featuring exclusive drops, live events, and direct engagement with the brand. This strategy builds a sense of exclusivity and keeps Gen C engaged beyond just transactions.

Image Credit: Nike

The Privacy Paradox – Balancing Personalization and Trust with Gen C

Gen C craves hyper-personalization but remains skeptical of how brands use their data. Transparency is non-negotiable. Companies that fail to articulate how they handle personal information risk losing trust and engagement.

Brands that implement ethical data practices, clear opt-in policies, and privacy-centric marketing strategies will gain a competitive advantage.

This shift requires brands to rethink how they operate. Traditional marketing tactics like aggressive advertising, mass email campaigns, and outdated loyalty programs are no longer enough. Gen C has reset the playing field, and brands must build agile, data-driven, and consumer-first strategies that evolve in real-time.

How Brands Can Win Over Generation C

Reaching Gen C is not about broadcasting messages – it’s about earning relevance in their digital ecosystem. They don’t just buy products; they buy into experiences, communities, and values. Brands that understand this shift can turn them into engaged advocates.

Be Everywhere, Seamlessly

Gen C moves across platforms without friction. They might discover a brand on TikTok, research it through Reddit, and purchase through a mobile app. A fragmented customer journey is a deal-breaker. To keep pace, brands must integrate social commerce, AI-driven recommendations, and one-click transactions.

A Meta study revealed that 57% of Gen Z and millennials discover new brands through social media ads and influencer content. For Gen C, this discovery process is even more dynamic, involving interactive content, live shopping, and peer recommendations.

Think Community-First

Traditional advertising falls flat with this audience. Peer validation, micro-influencers, and real-time interactions carry more weight than polished brand messaging. Live shopping events, interactive Q&As, and organic brand storytelling drive engagement. The more participatory the experience, the stronger the connection.

Offer Value-Driven Engagement

Gen C expects brands to deliver more than just products. Content must be educational, entertaining, or problem-solving – ideally, all three. They engage with brands that help them learn, create, or improve their digital lives. Brands that focus solely on selling risk becoming irrelevant.

Duolingo, the language-learning app, leverages gamification, humor, and micro-content to engage users. Rather than simply selling language courses, it creates viral social media moments and personalized learning streaks that make users return daily. This approach builds loyalty through experience rather than transactions.

Image Credit: UX Design

Leverage Micro-Influencers and User-Generated Content

Celebrity endorsements are losing impact. Instead, Gen C trusts real people, like content creators with niche influence who feel authentic. Encouraging brand advocacy through user-generated content not only builds credibility but also fuels organic reach.

For Gen C, this influence is even stronger as they seek out honest reviews, behind-the-scenes content, and real customer experiences.

For brands, the key to winning Gen C is participation, not persuasion. They don’t want to be marketed to; they want to be part of the conversation. Brands that enable interaction, authenticity, and community will thrive in this new era of consumer engagement.

The Future of Gen C – What’s Next for Connected Consumers?

Gen C is not a trend. They are the architects of a digital-first economy where immediacy, personalization, and participation define success. As technology advances, their expectations will only grow sharper. Brands that fail to evolve will become obsolete.

AI-Driven Digital Experiences Will Redefine Engagement

AI will shape how Gen C interacts with brands, from predictive shopping assistants to hyper-personalised content feeds. Chatbots will no longer be basic customer service tools. They will act as intelligent brand representatives, anticipating needs and offering real-time solutions.

Decentralized Platforms Will Shift Control

The dominance of centralized social media platforms is fading. Gen C is exploring blockchain-based communities, private Discord servers, and creator-driven ecosystems where they control data and interactions. Brands must rethink their reliance on traditional platforms and embrace new digital spaces.

The End of Passive Brand-Consumer Relationships

Gen C does not want to be marketed to; they want to co-create. Future-forward brands will integrate consumers into product development, decision-making, and storytelling. Interactive campaigns, community-driven product launches, and immersive digital experiences will become the standard.

From Consumers to Digital Citizens

Gen C expects brands to meet their digital demands and align with their values. Purpose-driven marketing, ethical data usage, and authentic connections determine which brands earn long-term relevance.

The brands that thrive in the Gen C era will not be the ones with the biggest advertising budgets. They will be the ones that understand, adapt, and integrate seamlessly into the connected world Gen C is shaping.

Why Brands Must Adapt Now

This new generation of connected consumers has rewritten the rules of consumer engagement. They are not a passive audience waiting to be sold to – they are active participants shaping the marketplace. Their expectations for seamless digital experiences, real-time interaction, and community-driven commerce demand a fundamental shift in how brands operate.

For brands, the message is clear: adapt or become irrelevant. Traditional marketing strategies built on broad demographics and static messaging no longer work. Winning in the Gen C economy requires brands to be dynamic, responsive, and embedded in their audience’s digital culture.

This shift has already happened. The brands that recognize Gen C’s influence and invest in hyper-personalized engagement, trust-driven relationships, and participatory experiences will lead the next era of consumer marketing. Those that fail to evolve will watch as their relevance fades.

The connected consumer revolution is here. The only question is: is your brand ready for it?

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In Brazil’s Cerrado Mineiro region, coffee farmer Marcelo Montanari is redefining what it means to grow coffee in a changing climate. By interplanting native trees with his coffee crops and reducing chemical use, he’s not just nurturing healthier soil – he’s building resilience against the unpredictable swings of climate change. This shift hasn’t gone unnoticed. Global coffee giants like Nespresso and Illycaffè are seeking partnerships with farmers like Montanari as they shift toward sustainable sourcing.

Once confined to niche eco-farms, regenerative agriculture has now caught the attention of food industry leaders such as General Mills, Nestlé, and Unilever. Their growing investments in soil health aren’t solely about boosting crop yields; they’re responding to a more powerful catalyst – consumers demanding tangible proof of sustainability.

The familiar green labels of the past – “organic,” “non-GMO” – no longer carry the same influence. Today’s consumers, especially Gen Z and millennials, are asking sharper questions: What is this product’s long-term environmental impact? Where does it come from? Brands unable to provide clear answers risk more than lost sales; they risk fading into irrelevance in a market driven by sustainability-conscious buyers.

The Science Behind Regenerative Farming

Regenerative farming is more than just the latest sustainability trend – it represents a shift in thinking about how food is grown. Unlike conventional farming, which prioritizes high yields often at the expense of soil health, regenerative practices aim to restore the land. The goal is simple: rebuild soil vitality, enhance biodiversity, and create farms that capture and store carbon.

At the heart of regenerative farming are a few key principles:

  • Reducing Soil Disturbance: Minimal tilling preserves soil structure, improves moisture retention, and supports thriving microbial ecosystems.
  • Crop Diversity: Rotating a variety of crops maintains nutrient balance, disrupts pest cycles, and reduces dependency on chemical inputs.
  • Cover Crops: Plants like clover and radish protect against erosion, enrich the soil, and prevent nutrient depletion between growing seasons.
  • Integrating Livestock: Managed grazing mirrors natural ecosystems, with livestock contributing to soil fertility as part of the regenerative cycle.

The Carbon Sequestration Question

Perhaps the most ambitious claim of regenerative agriculture is its potential to combat climate change by capturing carbon from the atmosphere and storing it in the soil. Some studies suggest it could sequester up to 10 billion tons of CO₂ annually – comparable to emissions from the global transportation sector. However, this promise remains under scrutiny. Critics point out that carbon capture rates can vary widely depending on climate conditions, soil types, and farming practices.

what-is-regenerative- farming

How Buying Habits Are Reshaping Farming

A decade ago, “organic” was the gold standard for eco-conscious consumers. Today, its appeal is fading. While organic farming limits synthetic chemicals, it doesn’t always enhance soil health or biodiversity. Regenerative practices go further – restoring ecosystems, capturing carbon, and rebuilding soil fertility.

Consumer awareness is surging. According to The Hartman Group, 40% of US consumers now recognize “regenerative agriculture,” a sharp increase from just 10% five years ago. A 2024 NYU Stern survey found that 65% of values-driven shoppers are willing to pay a premium for products grown using regenerative methods. But this shift isn’t just about spending power – it’s about cultural influence.

Gen Z and millennials are redefining corporate accountability. A single viral TikTok can expose a brand’s empty sustainability claims in hours. For example, Oatly faced backlash after consumers highlighted an investor’s ties to deforestation.

Today, consumers demand more than green labels – they want proof. QR codes on packaging trace sourcing origins, while certifications like Regenerative Organic Certified (ROC) and Land to Market provide independent verification. Food influencers dissect supply chains for millions of followers, making greenwashing increasingly difficult.

The economic benefits are clear. A study by the Soil Health Institute found that US farmers experienced a 78% increase in per-acre profits for corn and a 29% boost for soybeans after adopting regenerative methods, thanks to reduced input costs.

Corporations are responding with significant investments:

  • General Mills: Targeting 1 million acres under regenerative practices by 2030 to improve soil health for products like Cheerios.
  • Nestlé: Committing over $1 billion globally to regenerative agriculture programs.
  • Danone: Expanding regenerative dairy initiatives in the US and Europe to lower methane emissions.

Regenerative products are entering the mainstream. Whole Foods has introduced a dedicated “Regenerative Agriculture” section, while retailers like Walmart and Kroger are pushing suppliers to adopt regenerative practices. The message is clear: adapt or risk being left behind.

The Corporate Pivot to Regenerative Farming

Regenerative agriculture has entered the mainstream, but corporate commitments vary significantly. Some brands are making substantial investments, while others rely on broad pledges with minimal follow-through.

  • General Mills: Invested $2 million in regenerative wheat pilot programs, incorporating the results into products like Cheerios.
  • Nestlé: Partnering with over 500,000 farmers worldwide, focusing on soil restoration efforts in Vietnam, Brazil, and Côte d’Ivoire.
  • Unilever: Committed to sourcing 100% of its agricultural ingredients from regenerative farms by 2030, though specific strategies remain vague.

Critics argue that many corporate sustainability initiatives prioritize optics over impact. While bold acreage targets make headlines, the absence of clear metrics raises questions: How much carbon will actually be sequestered? What verification systems are in place to track soil health improvements?

Companies are eager to showcase their regenerative sourcing efforts, but often fall short of providing what farmers need most: financial security. Without incentives such as premium pricing or long-term contracts, the financial burden of transitioning to regenerative practices – which requires significant upfront investment – rests heavily on farmers.

Regenerative agriculture is more than a marketing trend; it requires a fundamental overhaul of supply chains. For corporations to make a genuine impact, they must move beyond PR-driven commitments and invest in initiatives with measurable, transparent outcomes.

Tech in Regenerative Agriculture

While the principles of regenerative agriculture are rooted in traditional land stewardship – such as crop rotation, reduced tillage, and soil health management – the future of this movement may depend on technology. Digital tools, artificial intelligence (AI), and blockchain are reshaping how farmers manage their fields, how companies verify sustainability claims, and how consumers trace the origins of their food.

The Challenge of Measurement

One of the biggest hurdles in regenerative agriculture is measuring impact. Unlike organic certification, which relies on specific criteria like pesticide restrictions, regenerative agriculture focuses on outcomes such as soil health, carbon sequestration, and biodiversity. This is where AI becomes invaluable.

Companies like Indigo Agriculture are leveraging AI-powered platforms to monitor soil carbon levels with remarkable precision. By analyzing satellite imagery, soil samples, and weather data, AI models can track changes in soil organic matter, moisture retention, and microbial activity. This not only helps farmers optimize regenerative practices but also provides verifiable data for companies striving to meet sustainability goals.

For instance, Indigo’s Terraton Initiative claims to have sequestered over 20 million metric tons of CO₂ through regenerative projects, with AI-driven models validating these outcomes. As corporate climate commitments face increasing scrutiny, this technology plays a crucial role in ensuring accountability.

Blockchain and the Future of Food Transparency

Beyond measuring soil health, blockchain technology is emerging as a powerful tool for supply chain traceability. In regenerative agriculture, where verifiable proof of sustainability is essential, blockchain’s ability to create tamper-proof digital records is invaluable.

Consider Provenance, a UK-based tech company that uses blockchain to authenticate sustainability claims for food brands. Through QR codes on packaging, consumers can trace products back to specific farms, accessing data on soil health practices, carbon footprints, and even farmer testimonials. This level of transparency has moved beyond marketing – it’s becoming a consumer expectation.

The Intersection of Tradition and Technology

While regenerative agriculture often conjures images of pastoral landscapes and time-honored farming practices, its future is increasingly tied to data science. AI and blockchain won’t replace traditional methods, but they will be critical tools for scaling them. In an era where “trust but verify” defines consumer-brand relationships, technology is no longer optional – it’s the foundation of the regenerative movement.

Case Study: Nestlé’s Regenerative Coffee Farming in Vietnam

Image credit: Global Coffee Report

In Vietnam’s Central Highlands, coffee farms sprawl across the landscape, anchoring one of the country’s key exports. Yet beneath this agricultural success lies an ecosystem under strain – soil degradation, water scarcity, and the escalating impacts of climate change are taking a toll. Nestlé’s Nescafé Plan 2030, a billion-dollar initiative, aims to address these challenges through regenerative farming practices.

The Problem: Coffee Under Pressure

As the world’s second-largest coffee producer, Vietnam has leaned heavily on intensive farming to meet global demand. This approach, marked by chemical fertilizers and monocropping, has eroded soil health, reduced yields, and strained water resources, jeopardizing the long-term sustainability of coffee cultivation.

The Approach: Scaling Regenerative Practices

Since its launch in 2010 and expansion under the Nescafé Plan 2030, Nestlé has partnered with over 100,000 Vietnamese farmers to implement practices aimed at restoring soil health and enhancing climate resilience:

  • Agroforestry: Intercropping coffee with shade trees to regulate soil temperature, conserve moisture, and support biodiversity.
  • Cover Cropping: Using legumes and grasses to improve soil fertility, reduce erosion, and naturally replenish nitrogen.
  • Precision Irrigation: Introducing water-efficient techniques, cutting usage by up to 20% on pilot farms.
  • Organic Fertilizers: Transitioning from synthetic inputs to compost and biofertilizers to boost soil microbiome health.

The Impact: Promising but Limited

Nestlé’s internal assessments and independent evaluations report notable gains:

  • Carbon Reduction: Up to a 20% decrease in greenhouse gas emissions per kilogram of coffee.
  • Water Efficiency: A 30% improvement in soil moisture retention, vital in drought-prone areas.
  • Biodiversity: A 50% rise in beneficial insect populations, reducing reliance on pesticides.

Beyond the Farm: Economic Shifts

Farmers involved in the program have seen yield increases of 15–20% and lower costs for fertilizers and irrigation. Nestlé has also introduced training in financial literacy and farm management, encouraging data-driven decision-making.

Challenges and Criticisms

Despite these results, questions linger. Critics argue that corporate-led regenerative projects often overpromise and underdeliver. Concerns include the scalability of these practices, the potential for increased farmer dependency on corporate programs, and the lack of standardized metrics to evaluate success across different regions.

A Model for the Future?

Nestlé’s regenerative coffee program in Vietnam highlights both the potential and limitations of corporate-driven sustainability initiatives. Whether this model can be replicated at scale remains uncertain. As climate risks intensify, regenerative agriculture may shift from an experimental approach to a necessity – but its true impact will depend on measurable outcomes..

Will Regenerative Farming Become the Norm?

For regenerative agriculture to move from the margins to the mainstream, government policy will be pivotal. Some nations are already taking steps:

  • United States: The Farm Bill now includes provisions supporting regenerative practices.
  • European Union: Subsidies are in place to encourage carbon sequestration farming methods.
  • India: Pilot programs aim to improve soil fertility and combat desertification.

Yet, regulatory frameworks remain inconsistent. Without standardized definitions and third-party oversight, there’s a risk that “regenerative” could become just another marketing buzzword.

Retailers & Restaurants Drive the Shift

Beyond government action, major retailers and restaurant chains are shaping the future of farming. Companies like Whole Foods, Walmart, and McDonald’s are integrating regenerative sourcing into their procurement strategies. The transformation is underway – the challenge now is how quickly and effectively it scales.

The New Farming Economy

Regenerative agriculture isn’t just changing how we farm; it’s reshaping the agricultural economy. Over the next decade, the divide will grow between companies that embrace meaningful change and those that rely on superficial greenwashing.

The Winners: Farmers and Brands Leading the Transition

Farmers who adopt regenerative practices early stand to gain the most. Studies show these methods reduce costs for fertilizers, pesticides, and water while boosting yields and improving soil health. Early adopters can secure premium contracts with brands eager to showcase sustainability leadership. Companies like Patagonia Provisions and General Mills are offering financial incentives and long-term partnerships to farmers committed to regenerative methods.

Retailers are also capitalizing on this shift. Whole Foods has launched dedicated regenerative product lines, while chains like Chipotle are expanding their commitment to sustainably sourced ingredients. Investors are following suit, with climate-focused venture capital funds backing regenerative food startups in response to growing consumer demand.

The Losers: Brands That Fail to Adapt

Not all companies will keep pace. The food industry has a history of sustainability promises that fell flat. Coca-Cola, for example, pledged to become “water neutral” by 2020 but quietly abandoned the goal when it proved unattainable. Consumers and watchdog groups are increasingly scrutinizing such claims, and companies that rely on cosmetic changes risk reputational damage and lost market share.

Industries tied to traditional, extractive farming practices – like fertilizer and pesticide manufacturers – also face challenges. As demand for synthetic inputs declines, these companies will need to pivot toward sustainable solutions or risk obsolescence.

The Big Question: Will Regenerative Agriculture Be Mandated?

Governments are already experimenting with mandates related to carbon sequestration. The European Union’s Common Agricultural Policy (CAP) includes financial incentives for soil regeneration, while California’s Healthy Soils Program offers grants for carbon-capturing practices. If these models expand globally, companies that fail to adapt could face financial penalties, carbon taxes, or restricted market access.

The financial sector is also taking note. Banks and insurers are beginning to assess soil health as part of lending and risk evaluations. Poor soil management could soon translate into higher borrowing costs or lower land valuations.

The Road Ahead

Regenerative farming won’t become the norm overnight. The shift requires systemic changes in agriculture, business, and policy. But those who adapt – whether they are farmers, corporations, or governments – will be better positioned in the evolving food economy.

The future of food won’t be decided in boardrooms alone. It will be shaped by the choices consumers make every day. The question isn’t whether regenerative agriculture will take hold – it’s whether companies can keep up.

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Streaming is no longer an emerging trend – it has firmly established itself as the dominant mode of entertainment. Yet, how people stream content varies significantly by region and generation. While the US, UK, and Southeast Asia all favor on-demand viewing, regional and demographic nuances are shaping the next phase of the industry.

In the US, streaming now accounts for 43% of total TV consumption – more than double its share from a few years ago. However, subscription fatigue is rising, with nearly one-third of consumers canceling at least one service in the past year. As a result, ad-supported models are gaining ground, providing brands with new ways to reach audiences moving away from traditional paid subscriptions.

In the UK, live TV’s decline is accelerating, particularly among younger viewers. In 2023, fewer than half of 16-24-year-olds watched live television weekly. As streaming overtakes traditional viewing, Netflix has pulled ahead of BBC1 in total audience reach. The demand for locally produced content remains strong, prompting global platforms to increase investment in British programming to retain subscribers.

In Southeast Asia, a mobile-first approach defines the streaming landscape, with over 90% of users accessing content via smartphones. This preference fuels a strong demand for locally produced content, often surpassing global franchises in popularity. Live streaming, frequently combined with e-commerce, has emerged as a significant engagement tool, allowing consumers to interact with sellers in real-time. Additionally, the region is at the forefront of AI-driven content recommendations, as platforms utilize advanced algorithms to enhance user experiences.

Streaming preferences vary significantly across generations. Gen Z and Millennials gravitate towards short-form, socially-driven content, with platforms like TikTok and YouTube being particularly popular. In contrast, Gen X and Baby Boomers lean towards longer, ad-free viewing experiences, often favoring traditional television and subscription-based streaming services. Despite these differences, binge-watching is a common behavior across all age groups. Notably, younger viewers are increasingly engaging with interactive content, reflecting their desire for more immersive experiences.

The Rise of Streaming and the Decline of Traditional TV 

The shift from traditional television to streaming is now undeniable, reshaping how audiences consume content across global markets. While linear TV still holds relevance in certain demographics, the numbers tell a different story:

  • In the US, streaming accounts for 41.6% of total TV consumption, with cable and broadcast TV dropping below 50% for the first time.
  • In the UK, Netflix has surpassed BBC1 in total viewership, a milestone that signals a permanent shift toward on-demand content.
  • In Southeast Asia, 71% of TV viewers now consume ad-supported streaming, putting digital platforms on par with traditional television in the region.

This shift isn’t just about technology – it’s about consumer behavior. Audiences today demand flexibility, personalization, and content tailored to their interests, leaving behind the rigid schedules of linear programming. Younger viewers, in particular, are turning away from appointment-based TV, opting instead for platforms that provide immediate, algorithm-driven recommendations.

Regional Viewing Trends: What Unites and Divides Audiences? 

Streaming trends vary widely across regions, influenced by cultural preferences, technological access, and economic factors. While some viewing habits are universal, key differences reinforce the need for region-specific content and marketing strategies.

United States

In the US, subscription fatigue is reshaping streaming habits. While platforms dominate TV consumption, 42% of users feel overwhelmed by too many choices, and nearly half plan to cancel at least one service. This has accelerated the shift to ad-supported tiers, with 39% of Netflix’s new subscribers opting for its lower-cost, ad-backed plan.

To counteract subscription fatigue and attract cost-conscious viewers, streaming platforms are increasingly embracing ad-supported models. The success of these tiers signals a growing consumer preference for lower-cost options over premium, ad-free experiences.

Image: Grey’s Anatomy

Despite the surge in new content, licensed shows continue to dominate streaming viewership. In 2024, Grey’s Anatomy ranked as the second most-watched streaming program, amassing 47.85 billion minutes viewed across Hulu and Netflix. Friends remains a staple on streaming platforms, while classic titles like The Big Bang Theory and Little House on the Prairie also saw significant engagement. The sustained popularity of older programs highlights the enduring appeal of nostalgia-driven content and the power of deep, long-running libraries.

United Kingdom

The UK’s youngest viewers are turning away from live TV, with less than half of 16-24-year-olds watching it weekly. Streaming platforms have stepped in to capture this audience, and Netflix now commands a larger share of viewership than BBC1. Meanwhile, investment in British-made productions is driving subscriptions, reinforcing the appeal of localized content.

A strong preference for locally produced content continues to shape the UK streaming market. Platforms are responding with increased investment in British programming, recognizing its role in retaining subscribers and differentiating services in a competitive landscape.

Ad-supported streaming is also gaining momentum, offering cost-conscious viewers an alternative to rising subscription fees. For advertisers, this shift creates new opportunities to engage audiences within premium, on-demand environments.

Image: Mr Bates vs The Post Office

In 2024, several television programs captured the attention of UK audiences, reflecting diverse viewing preferences. Mr Bates vs The Post Office became the most-watched program of the year, drawing nearly 14 million viewers on ITV. Meanwhile, American sitcoms continue to dominate streaming, with The Big Bang Theory topping charts at 63.1 million views, followed by Friends with 55.8 million views. Netflix’s Black Doves, a recent release, amassed 57.7 million views, demonstrating the platform’s ability to drive audience engagement. These trends highlight the UK’s dual appetite for homegrown dramas and globally recognized franchises, reinforcing the importance of a diverse content library for streaming platforms.

Southeast Asia

Mobile streaming dominates Southeast Asia, where most viewers watch content on smartphones rather than TVs. Unlike Western markets, where streaming services compete for subscription revenue, free-to-watch and ad-supported content drive engagement, with AI-powered recommendations shaping viewing habits.

Local and regional content dominates viewer preferences, with audiences favoring stories and characters that resonate with their own experiences. This demand has spurred a surge in locally produced content, catering to the diverse linguistic and cultural landscape of the region.

Live streaming and social commerce are reshaping the entertainment paradigm. Platforms are increasingly integrating shopping features into live broadcasts, creating interactive experiences that blend entertainment with e-commerce.

Artificial intelligence is playing an influential role in content recommendations, enhancing user engagement by tailoring suggestions to individual viewing habits. This personalization fosters deeper connections between viewers and platforms, driving sustained engagement.

Collectively, these regional trends highlight the multifaceted nature of the global streaming ecosystem. While certain viewing habits transcend borders, nuanced differences underscore the necessity for brands and content creators to adopt region-specific strategies to effectively engage diverse audiences.

Image: Vikram Vedha

Southeast Asia’s top content reflects the region’s diverse tastes and growing demand for localized programming. In 2024, the highest-grossing show on Netflix was Vikram Vedha (a hit in Indonesia and Thailand), racking up 45 million views in just one month. Korean dramas are also a key driver, with Crash Landing on You earning 58 million views across Southeast Asia, highlighting the region’s preference for international content that still feels locally relatable. Meanwhile, Indonesian dramas like Tiga Dara saw a surge, with 20 million views on local streaming platforms like GoPlay. This shows the growing need for platforms to balance global hits with region-specific content.

The Generational Divide in Streaming Habits Gen Z and Millennials

Streaming habits are deeply shaped by generational preferences, with younger audiences favoring social-driven, short-form content, while older viewers remain loyal to traditional long-form programming.

Gen Z and Millennials

Gen Z and Millennials consider streaming an extension of their digital ecosystem, where content is discovered through social media platforms like TikTok and YouTube, not traditional TV guides. Their preferences lean toward short-form, algorithm-driven entertainment, emphasizing speed, interactivity, and shareability. The rise of gaming-integrated streaming further caters to their desire for immersive, participatory experiences.

Gen X and Baby Boomers

Gen X and Baby Boomers gravitate toward long-form content, including feature films and multi-season TV series. They prioritize ad-free experiences, choosing premium streaming options over ad-supported models. Nostalgia drives their content choices, as they revisit classic shows and familiar genres instead of new releases. Unlike younger audiences, they prefer a slower pace, showing more loyalty to scheduled programming and series they can follow over time.

The Universality of Binge-Watching

Binge-watching transcends generational divides, becoming a common behavior across all age groups. 72% of TV viewers report watching at least three episodes in one sitting, showing that while content preferences may differ, the desire for extended viewing sessions is universal.

The Future of Streaming: What the Numbers Predict 

The future of streaming is being shaped by three key trends: AI-driven content discovery, the rise of ad-supported tiers, and a growing focus on live content. As audiences increasingly demand personalization, affordability, and real-time engagement, platforms that fail to keep pace risk losing relevance.

The Growing Role of AI in Shaping Recommendations

Artificial intelligence is playing an increasingly vital role in streaming platforms, driving personalized content recommendations. Netflix, for instance, attributes 80% of viewer activity to its AI-driven recommendations, a strategy that is estimated to save the company $1 billion annually in customer retention.

Amazon Prime Video is also exploring AI through its “AI Topics”, which curates content categories based on individual interests, offering a more tailored and intuitive content discovery experience.

The Rise of Hybrid Models

In response to diverse consumer preferences, many streaming services are adopting hybrid monetization models that blend subscriptions with ads. Disney+, Netflix, and Amazon Prime have launched ad-supported tiers, providing more affordable options for viewers while expanding revenue streams.

This approach seeks to balance user experience with profitability, accommodating both ad-tolerant and ad-averse audiences.

Increased Investment in Regional Content

Streaming giants are investing heavily in regional content to better engage local audiences and strengthen their subscriber base. By producing and promoting local programming, platforms can build deeper connections with viewers, enhancing loyalty. This approach not only broadens their subscriber base but also enriches the global content library with diverse cultural narratives.

Streaming’s Push into Live Sports and Event-Based Content

Streaming services are increasingly venturing into live sports and event-based programming, capitalizing on the enduring appeal of real-time content. Netflix, for example, is exploring opportunities in live sports and video games, aiming to diversify its offerings and attract a wider audience.

This shift signals a move toward more immediate and dynamic content, challenging traditional broadcast models.

Impact of Hollywood’s Production Slowdown

Hollywood’s production slowdown is beginning to affect streaming platforms, leaving fewer new titles for viewers accustomed to a steady flow of fresh content. As a result, platforms must turn to diversified content strategies, such as investments in international productions and alternative programming, to keep subscribers engaged during periods of limited new releases.

What This Means for Brands and Marketers 

For brands, streaming’s evolution presents both challenges and opportunities. Success hinges on market research, allowing companies to tailor content and advertising to shifting viewer behaviors.

The Importance of Streaming Data for Audience Segmentation

Streaming platforms generate vast amounts of data, offering insights into viewer behaviors, preferences, and engagement patterns. By analyzing this data, brands can segment audiences more precisely, tailoring content and advertisements to specific demographics and viewing habits. This targeted approach enhances marketing efficiency by directing efforts toward the most receptive audience segments.

Adapting Media Strategies to Shifting Viewing Habits

As consumer viewing habits evolve, brands must adjust their media strategies accordingly. The decline of traditional television and the rise of on-demand streaming necessitate a reevaluation of advertising channels. Investing in streaming platforms, particularly those offering ad-supported models, allows brands to reach audiences where they are increasingly spending their time. Additionally, understanding peak viewing times and content preferences can inform the timing and placement of advertisements, maximizing impact.

Crafting Platform-Specific Content

Different streaming platforms cater to varied audience preferences and content formats. For instance, TikTok thrives on short-form, viral content, while platforms like Netflix and YouTube accommodate longer-form videos. Brands should develop platform-specific content strategies, ensuring that the style, length, and messaging align with the expectations of each platform’s user base. This approach not only enhances engagement but also demonstrates an understanding of the platform’s culture and audience.

Leveraging Influencers to Drive Engagement

Influencers play a pivotal role in shaping viewer perceptions and driving engagement on streaming platforms. Collaborating with influencers who resonate with target audiences can amplify brand messages and foster trust. These partnerships can take various forms, including sponsored content, product placements, or co-created material. Given influencers’ ability to authentically connect with their followers, such collaborations often result in higher engagement rates compared to traditional advertising methods.

Exploring Opportunities in Interactive Content and Partnerships

Interactive content, such as polls, quizzes, and live Q&A sessions, encourages active audience participation, leading to deeper engagement. Brands can integrate interactive elements into their streaming content to create immersive experiences that captivate viewers. Additionally, forming partnerships with content creators or streaming platforms can provide access to new audiences and innovative content formats. For example, collaborating on exclusive content or sponsoring popular series can enhance brand visibility and association with high-quality programming.

Adapting to Changing Audience Behaviors

As streaming platforms reshape how audiences consume media, brands are under pressure to respond to rapidly changing viewer behaviors. The era of broad, generalized marketing strategies is fading. Success now depends on brands’ ability to customize content and marketing to fit specific regional trends and audience demands. Those that effectively leverage data-driven insights and align their messaging with platform-specific cultures will be better positioned to build stronger relationships with consumers and stay ahead in a crowded and competitive market.

A New Era of Streaming Requires a New Playbook

The one-size-fits-all content strategy is dead. Brands that fail to localize, personalize, and diversify their streaming approach will be left behind. The future belongs to those who stop chasing trends—and start using market intelligence to shape them. Today, audience behavior is shaped by regional preferences, generational divides, and technological disruption – forces that demand a more sophisticated, localized, and data-driven approach from brands and content creators.

For years, global entertainment operated on the assumption that content produced for one audience could seamlessly translate to another. That model no longer holds. The numbers tell the story – while US viewers remain captivated by nostalgia-driven programming, younger audiences in the UK are abandoning linear TV entirely, and Southeast Asia’s mobile-first users are redefining engagement through live streaming and AI-driven recommendations. If streaming platforms and brands fail to recognize these shifts, they risk becoming irrelevant in key markets.

Localization Is No Longer Optional

Local content is no longer a niche offering – it is a competitive necessity. Global streaming giants are pouring billions into regional productions because they have seen the data: subscribers are more loyal to platforms that cater to their cultural and linguistic preferences. In Southeast Asia, hyper-local content consistently outperforms Western programming. In the UK, British-made series draw more sustained engagement than many high-budget imports. A global strategy must start with a deep understanding of audience preferences at the local level – a reality that only market research can fully capture.

Agility Is the Only Way Forward

Streaming is not just replacing television; it is fragmenting it beyond recognition. The rise of ad-supported tiers, the growing dominance of TikTok-style short-form content, and the push toward interactive programming all signal that consumer habits will continue to evolve at breakneck speed. The platforms and brands that succeed will not be those clinging to legacy strategies, but those that move fast, test often, and adapt constantly.

In this new era of streaming, the winners will not be those with the biggest budgets but those with the best insights. The days of assuming global audiences behave the same way are over. For brands and marketers, the only way forward is a strategy that is localized, data-backed, and built for change.

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Alexa, which stores have the best deals right now? 

Once a futuristic notion, this question is now a reality for millions of consumers who rely on voice-activated devices for shopping lists, product recommendations, and more. As conversational AI becomes an integral part of daily life, voice-first commerce is reshaping brand engagement, challenging traditional marketing approaches, and unlocking new revenue opportunities.

But are brands truly ready for this shift? 

While some have embraced the potential of conversational AI, others are scrambling to catch up, struggling to redefine their strategies at a time when hands-free shopping and personalized voice interactions are the norm.

The question isn’t whether voice commerce will dominate – it’s how soon. Brands that adapt quickly and strategically will set themselves apart in this voice-first future, while the rest risk being left unheard.

The Rise of Voice-First Commerce

Voice commerce is rapidly becoming a mainstream consumer behavior. 

Consumer preferences are steering the surge in voice commerce, with hands-free convenience redefining how people shop, search, and interact. Smart speaker users now average 12.4 weekly tasks on their devices – nearly double the 7.5 recorded in 2017 – highlighting the growing integration of voice technology into everyday routines.

Brands must act now. This shift isn’t just about new tech; it’s about meeting customers where they are – on the go, multitasking, and expecting seamless experiences. For brands clinging to traditional e-commerce strategies, the window to pivot is closing.

How Conversational AI is Reshaping Brand Strategies

Conversational AI is transforming how brands interact with customers, pushing the boundaries of personalization and engagement. Unlike traditional e-commerce, where interactions are largely visual and transactional, voice-first commerce creates opportunities for real-time, human-like conversations that build deeper connections.

Personalization at Scale
AI-driven voice assistants use advanced natural language processing to deliver tailored recommendations. By analyzing past purchases, search history, and real-time preferences, these systems can create “segments of one,” offering highly personalized experiences. For example, a voice assistant can suggest a product refill based on a consumer’s purchase history or recommend a new service aligned with their preferences.

Improved Accessibility and Inclusivity
Voice technology breaks barriers, offering accessibility to older adults and individuals with visual impairments. For brands, this means tapping into previously underserved demographics and expanding their reach.

Enhanced Customer Service
Conversational AI is revolutionizing customer support, from resolving issues instantly to guiding users through complex buying decisions. Voice assistants can handle inquiries 24/7, minimizing wait times and enhancing satisfaction. Brands like Sephora and Domino’s have implemented conversational AI to simplify appointment bookings and food orders, creating frictionless customer journeys.

Challenges Brands Face with Conversational AI

The promise of conversational AI is immense, but its implementation comes with notable challenges that brands must overcome to fully leverage its potential.

Understanding Diverse Accents and Dialects
A significant barrier to effective conversational AI adoption is the ability to interpret diverse accents and dialects accurately. For instance, studies have shown that accents from regions like New York City, New Jersey, and Boston within the US market pose considerable difficulties for voice recognition systems. Distinct pronunciations and local slang in these areas often lead to misinterpretations, frustrating users and undermining trust in the technology. This highlights the need for brands to train AI models to handle linguistic nuances across regions and demographics.

Privacy and Data Security Concerns
Data privacy is another pressing issue. In a high-profile example, Italy’s data protection authority fined OpenAI 15 million euros for processing user data without adequate legal justification and transparency. The authority also cited inadequate age verification measures, exposing minors to potentially inappropriate content. These instances reflect broader consumer concerns about how personal data is collected, stored, and used in conversational AI systems.

Turning Challenges Into Opportunities
Brands that tackle these challenges head-on can gain a competitive advantage. Building AI systems that are linguistically inclusive and ensuring robust data privacy protocols will not only improve user experience but also foster trust among increasingly cautious consumers. Those proactively addressing these hurdles position themselves as leaders in the voice-first era, where reliability and consumer confidence are critical to success.

Brands Leading the Way with Conversational AI

As conversational AI becomes a cornerstone of voice-first commerce, some brands leverage its potential to drive engagement and boost sales. These early adopters offer valuable lessons for those looking to stay ahead of the curve.

Amazon’s Alexa: Setting the Standard for Voice Commerce
Amazon’s Alexa ecosystem has transformed how consumers shop, from reordering household essentials to discovering new products. With Alexa Skills tailored for brands, companies like Tide and Starbucks have seamlessly integrated into the consumer’s voice-enabled routine. Tide’s Alexa Skill, for instance, provides stain removal tips while subtly promoting its products, showcasing how conversational AI can blend utility with branding.

Sephora: Redefining Beauty Retail
Sephora has embraced conversational AI through virtual assistants that guide customers in selecting makeup and skincare products. By integrating its AI systems with Google Assistant, Sephora enables voice-driven appointment booking for beauty consultations, merging convenience with personalized recommendations. This approach not only enhances customer experience but also drives foot traffic to physical stores.

Case Study: Domino’s Frictionless Ordering Experience
Using Conversational AI

Image Credit: Shorty Awards

Since its founding in 1960, Domino’s Pizza has expanded to over 20,000 locations across 90 countries. A key milestone in this journey was the adoption of conversational AI to streamline operations and enhance customer experiences.

The Challenge

As consumer behavior evolved, Domino’s recognized the need to offer more intuitive and convenient ordering methods. While effective, traditional online and phone orders lacked the seamless interaction modern consumers desired. The challenge was to develop a system capable of understanding and processing how customers express their orders, accommodating various accents, languages, and preferences.

The Solution

Image Credit: Google Cloud 

In August 2016, Domino’s began exploring Natural Language Understanding Solutions (NLU) and ultimately selected Google’s Dialogflow for its scalability and robust NLU capabilities. This platform allowed Domino’s to handle the extensive range of customer intents and ordering options inherent in its menu. By leveraging over 60  years of customer service expertise, Domino’s developed “Dom,” an AI-powered chatbot integrated across multiple platforms, including Google Assistant-enabled devices. Customers could now place orders by simply saying, “Hey Google, talk to Domino’s,” initiating a conversational ordering experience.

Implementation

The implementation process involved training the AI to manage both simple and complex ordering scenarios, ensuring it could handle the diverse ways customers might place orders. The user-friendly interface facilitated rapid development and deployment, enabling Domino’s to efficiently meet or exceed project milestones. The AI system was designed to integrate seamlessly with existing operations, providing a consistent and reliable customer experience across various digital platforms.

Results

Image Credit: Google Cloud

The introduction of conversational AI surpassed Domino’s initial expectations. The AI-powered ordering system not only enhanced customer convenience but also improved operational efficiency. The system’s performance led to continuous refinement of the conversational experience, allowing Domino’s to stay ahead of customer expectations and adapt to new interaction patterns. This commitment to innovation reinforced Domino’s position as a leader in digital transformation within the food service industry.

Learning from the Leaders

These examples highlight the versatility of conversational AI across industries. By focusing on consumer needs – whether it’s saving time, offering expert guidance, or simplifying everyday tasks – brands can create meaningful voice interactions that drive loyalty and revenue.

For brands still on the fence, these success stories highlight an essential truth: conversational AI is not a passing trend but a transformative force that will define the future of customer engagement.

The Future of Conversational AI in Voice Commerce

The evolution of conversational AI is accelerating, with innovations poised to redefine how brands engage consumers in the coming years. This isn’t just an extension of existing technology; it’s a shift toward a more intuitive, predictive, and immersive future.

Natural Language Processing Reach New Heights
Advances in NLP enable voice assistants to understand context, sentiment, and even subtle nuances in conversation. This development allows brands to move beyond basic commands and create meaningful, two-way interactions that feel almost human. Imagine a virtual shopping assistant that remembers your preferences and anticipates your needs before you articulate them.

Integration with Immersive Technologies
Converging conversational AI with augmented and virtual reality promises a new dimension of voice-driven engagement. Consumers could soon “walk” through virtual stores guided by a voice assistant, combining the convenience of e-commerce with the immersive experience of physical shopping.

Predictive Voice Analytics for Proactive Engagement
Predictive analytics powered by AI will allow brands to forecast consumer behavior with unprecedented accuracy. Voice assistants will be able to recommend products based on upcoming events, seasonal trends, or personal milestones, creating hyper-relevant shopping experiences.

Generative AI Redefining Personalization
Generative AI will further enhance voice commerce by creating highly customized interactions. From crafting personalized product descriptions to generating dynamic recommendations during conversations, this technology ensures every interaction feels uniquely tailored to the consumer.

The Ethical and Privacy Imperative
As the future of conversational AI unfolds, ethical considerations will take center stage. Brands must be transparent about how they collect and use voice data, addressing consumer concerns about privacy and surveillance. Building trust will be just as crucial as building technology.

How Brands Can Prepare for the Voice-First Era

To thrive in the age of conversational AI, brands must adopt a proactive, voice-first strategy. Success will depend on blending innovative technology with a deep understanding of evolving consumer expectations.

Invest in Voice-Ready Infrastructure
Brands need robust systems that integrate with conversational AI platforms like Alexa, Google Assistant, or proprietary solutions. This includes optimizing product listings for voice search, ensuring seamless compatibility with voice-activated devices, and developing APIs for real-time interactions.

Prioritize Multilingual and Inclusive Design
Global markets demand voice solutions that cater to diverse languages, dialects, and accents. Brands must train AI systems to understand regional nuances, making their offerings accessible to a broader audience. Inclusivity should also extend to designing interfaces for users with disabilities, tapping into underserved markets.

Focus on Data Privacy and Ethical AI
Building trust is critical in a voice-driven world. Brands should establish clear policies on data collection and usage, ensuring transparency with consumers. Adopting ethical AI practices, such as eliminating bias in voice recognition, will enhance credibility and foster loyalty.

Collaborate with AI Ecosystem Leaders
Partnerships with technology giants and AI innovators can accelerate voice-first strategies. Whether leveraging Google’s advanced NLP or collaborating with Amazon on Alexa Skills, aligning with established platforms ensures smoother implementation and greater reach.

Measure and Adapt Through Key Performance Indicators
Voice commerce success must be quantifiable. Brands should track engagement rates, voice search conversions, customer retention, and satisfaction. They can continuously refine their voice strategies by analyzing these insights to better meet consumer needs.

Prepare for a Voice-Only Future
While omnichannel strategies remain vital today, brands should experiment with voice-only campaigns and interactions. Developing exclusive voice-driven experiences will help them prepare for a future where voice commerce dominates.

The transition to voice-first commerce requires foresight and innovation. Brands that invest now in building their conversational AI capabilities will not only capture today’s opportunities but also shape the future of customer engagement.

The rise of conversational AI and voice-first commerce represents a massive shift in how consumers interact with brands. From streamlining purchases to creating deeply personalized experiences, voice technology revolutionizes the customer journey. But this transformation comes with a challenge: brands must act swiftly and strategically to harness their potential.

As consumers prioritize convenience and personalization, the question for brands is no longer whether to adopt conversational AI but how to do it effectively. The future belongs to those willing to innovate, adapt, and amplify their voice.

For brands willing to invest, the rewards are clear: deeper customer relationships, enhanced loyalty, and a competitive edge in the voice-first marketplace. The future of voice commerce isn’t distant—it’s unfolding now. Is your brand ready to be heard?

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Food and beverage giants are scrambling to keep up with shifting consumer demands. Shoppers want healthier ingredients, fair prices – not smaller portions – and full transparency on what they’re buying. With inflation squeezing budgets and a growing backlash against shrinkflation, companies are under pressure to rethink everything from product sizes to formulations or risk losing consumer trust.

PepsiCo’s Q4 2024 numbers tell the story: net revenue dipped 0.2%, with its Frito-Lay (-3%), Quaker Foods (-6%), and beverage (-3%) segments taking hits. In response, the company is pushing portion control and value packs – smaller products positioned as both health-friendly and cost-effective. CEO Ramon Laguarta calls it a ‘highly strategic’ move, but consumers see it differently: is this genuine innovation or just shrinkflation in disguise?

It’s a paradox: consumers want affordability but won’t tolerate shrinkflation. In the US and UK, outrage over downsized products is growing, with brands accused of sneaky pricing tactics. But in Southeast Asia, smaller portions aren’t a scandal – they’re a selling point. Brands that market ‘value packs’ instead of just shrinking products are finding success in price-sensitive markets.

With health concerns, inflation, and shifting regional preferences reshaping consumer priorities, food and beverage brands are in a race to adapt before their loyal customers disappear.

The Health-First Consumer Is Reshaping the Industry

Health-conscious consumers are forcing brands to rethink ingredients, reformulate products, and move away from ultra-processed foods. The COVID-19 pandemic accelerated this shift, with shoppers scrutinizing sugar content, artificial additives, and seed oils more than ever.

A 2024 survey by the International Food Information Council (IFIC) found that 79% of American consumers consider food processing levels when making purchases – up from 66% in 2020. In the UK, supermarkets are cutting back on promotions for high-fat, sugar, and salt (HFSS) products in response to new regulations. Meanwhile, social media scrutiny has exploded, with viral posts slamming seed oils, artificial dyes, and hidden sugars in processed snacks. Food giants have no choice but to adapt – or lose market share.

A Regional Divide in Health Trends

While Western markets are turning against ultra-processed foods, the trend looks different in Southeast Asia. Singapore is leading the charge with government-backed initiatives promoting healthier eating. The Healthier Choice Symbol program and sugar taxes are pushing brands to reformulate products to meet stricter national health standards.

Elsewhere in the region, the health movement is less clear-cut. In Indonesia, Thailand, and Vietnam, demand for functional foods is rising, especially among the urban middle class. But price still rules – health-conscious products must stay affordable. Instead of ditching processed foods, many consumers are opting for fortified options like probiotic dairy or ‘better-for-you’ snacks.

How Food Giants Are Reformulating Products

To keep up, major brands are investing in health-focused innovation. PepsiCo’s $1.2 billion acquisition of Siete Foods – known for grain-free, gluten-free snacks – signals a push into the clean-label movement. Nestlé is betting big on plant-based proteins and dairy alternatives, doubling down on the shift toward natural and functional foods.

As consumer priorities shift, brands are walking a tightrope – balancing taste, affordability, and the rising demand for transparency. The industry is changing fast, and companies that fail to adapt risk becoming irrelevant.

Research-brief

The Inflation Dilemma and the Shrinkflation Backlash

As inflation squeezes household budgets, food and beverage brands are making tough pricing decisions. Some have raised prices outright, while others have turned to shrinkflation – reducing portion sizes while keeping prices the same. But consumers aren’t fooled, and backlash is growing.

A McKinsey report found that over 60% of global consumers now track product sizes and pricing changes. Social media has amplified the frustration, with brands like Cadbury and PepsiCo called out for reducing product weight while keeping prices steady. Toblerone even faced outrage for widening the gaps between its signature chocolate peaks – seen as a sneaky price hike.

The Shrinkflation Paradox

Brands say shrinkflation is necessary to offset rising costs, especially as ingredient prices fluctuate. But the strategy is a double-edged sword:”

  • Companies shrink portions to protect profit margins without raising retail prices.
  • Consumers notice – and they aren’t happy, seeing it as a hidden price hike.
  • Governments are stepping in. France, India, and Malaysia are calling for clearer product labeling to curb deceptive packaging.

In the UK, regulators are pressuring brands to disclose when product sizes shrink. In the US, consumer complaints are mounting, prompting retailers like Walmart to push back against suppliers reducing portion sizes.

A Different Response in Southeast Asia

While Western consumers reject shrinkflation outright, Southeast Asia takes a more practical approach. Price is the priority, and many shoppers accept smaller portions – if they come in value packs or multipack bundles. Instead of quietly shrinking products, brands in the region market smaller portions as cost-saving options.

This strategy fits local preferences. In Indonesia, Thailand, and Vietnam, single-serve and ‘on-the-go’ formats are booming, especially among younger consumers looking for affordable convenience. Nestlé and Mondelez have responded with mini packs of popular snacks, marketing them as budget-friendly rather than sneaky price hikes.

Turning Shrinkflation Into a Marketing Strategy

To counter backlash, some brands are spinning shrinkflation as a health-conscious choice. PepsiCo markets its smaller snack packs as ‘portion control’ options, framing them as a wellness move rather than a cost-cutting tactic. Coca-Cola’s mini-cans follow the same playbook, targeting health-conscious consumers instead of budget-conscious ones.

With inflation squeezing both companies and consumers, the pricing battle is far from over. Whether through transparency, portion control, or government intervention, food brands must strike a balance between affordability and trust – or risk losing loyalty.

The Rise of Portion Control as a Market Strategy

Portion control is no longer just a diet trend – it’s now a core strategy for food and beverage brands adapting to shifting health and economic pressures. Once a niche tactic for calorie-conscious consumers, it has gone mainstream, fueled by rising obesity concerns and the growing influence of GLP-1 weight-loss drugs like Ozempic

A Morgan Stanley report estimates that GLP-1 drugs could cut US calorie consumption by up to 10% in the coming years, as users eat less and prefer smaller portions. Food brands are already adapting, rolling out smaller servings, reformulated products, and snack-size options to match changing eating habits.

Regional Differences in Portion Control

Portion control is a global trend, but how it’s marketed differs by region:

  • In the US and UK, brands are positioning smaller portions as a tool for calorie management and weight control. Products like Coca-Cola’s 7.5-ounce mini-cans and Mondelez’s reduced-size snack packs cater to consumers who are actively trying to reduce sugar and calorie intake.
  • In Southeast Asia, portion control is about value, not dieting. Budget-conscious consumers in Indonesia, Thailand, and Vietnam prefer multipacks and individually wrapped servings for controlled spending and convenience. Nestlé and Unilever have leaned into this, marketing smaller products as cost-effective solutions, especially in cities where disposable income is tight.

PepsiCo’s Portion Control Playbook

PepsiCo is leading the charge on portion control. With sales slipping across its Frito-Lay, Quaker Foods, and beverage segments, the company has doubled down on single-serve and multipack options, marketing them as both healthier and budget-friendly.

CEO Ramon Laguarta calls portion control a long-term strategy, not just a response to economic pressures. By rolling out smaller Lay’s chip bags, Gatorade bottles, and Quaker oat packs, PepsiCo hopes to keep customers loyal while adjusting to changing eating habits.

Portion control is no longer just a diet trend – it’s now a core business strategy. Whether sold as a health-conscious move or a cost-saving measure, it’s here to stay. The shift is reshaping how food brands market and package products in an age of rising health awareness and economic caution.

Southeast Asia’s Unique Consumer Trends and Responses

In the West, portion control is about calories. In Southeast Asia, it’s about cost. Price sensitivity still dominates, but demand for healthier, premium products is rising. That leaves brands walking a fine line – balancing affordability for the mass market with high-quality options for urban consumers willing to pay more.

A Dual Consumer Base: Price-Conscious vs. Health-Focused

In Indonesia, Thailand, and Vietnam, affordability still drives purchases, with consumers favoring cost-effective, single-serve options over bulk buys. But a rising middle class and exposure to global health trends are boosting demand for fortified foods, local superfoods, and functional drinks.

In Singapore, where consumer preferences lean heavily toward health-conscious choices, government initiatives are further shaping the industry. The city-state’s Nutri-Grade labeling system, which categorizes beverages based on sugar and saturated fat content, has pushed brands to reformulate drinks to avoid lower-grade ratings. According to Nielsen’s Southeast Asia Consumer Trends Report, demand for low-sugar and naturally sweetened beverages has surged in urban centers, reflecting a broader shift toward mindful consumption.

A Growing Preference for Local and Natural Ingredients

While Western markets focus on plant-based and protein-enriched foods, Southeast Asian consumers favor traditional, natural ingredients. Products with pandan, coconut sugar, turmeric, and herbal infusions are gaining ground, seen as both functional and culturally familiar.

Brands are taking note and adjusting their portfolios:

  • Nestlé has expanded its fortified dairy and cereal lines, adding local flavors to appeal to Southeast Asian tastes.
  • Unilever has reengineered its ice cream portfolio, developing lower-sugar and plant-based alternatives specifically for the region.
  • PepsiCo has reformulated Quaker Oats, using local grains and flavors to appeal to Southeast Asian consumers..

Regulation-Driven Reformulations

Governments in the region are shaping food trends. Beyond Singapore’s Nutri-Grade system, Malaysia and Thailand have taxed sugary drinks, pushing brands to cut sugar and create healthier alternatives.

Winning in Southeast Asia means going hyper-local – balancing affordability, tradition, and innovation. With urban consumers embracing healthier choices, brands that navigate these demands will be best positioned to thrive.

The Future of Food and Beverage Brands in a Changing Market

Consumer preferences aren’t just influencing the food industry – they’re reshaping it. Legacy brands are scrambling to keep up, forced to balance health-conscious reformulations, affordability, and regional differences while dodging the backlash against shrinkflation – all without sacrificing profits.

The era of mass-market, one-size-fits-all food is ending. Consumers from New York to Singapore are scrutinizing labels, rejecting artificial additives, and demanding transparency. Clean-label products – those with simple, recognizable ingredients – are now a $180 billion industry, and Innova Market Insights expects them to keep growing at double-digit rates.

A New Era of Food Innovation

The next wave of food innovation is here. Functional foods, alternative proteins, and sustainable ingredients are no longer niche – they’re mainstream. Nestlé and Unilever are expanding plant-based dairy, while startups push lab-grown proteins and allergen-free snacks.

Pricing strategies are shifting. Shrinkflation backlash has forced brands to rethink how they price and package products. Instead of sneaky downsizing, companies are testing tiered packaging – premium, mid-tier, and value options – to cater to different buyers. Coca-Cola’s mini-cans and PepsiCo’s single-serve packs prove that portion size is becoming a choice, not a trick.

Who Will Win the Consumer Loyalty Battle?

Can legacy brands adapt, or will disruptors take their place? History shows big players can evolve – McDonald’s revamped its menu for the health-conscious, and PepsiCo is pivoting to cleaner, portion-controlled products. But the game has changed. Consumers have more choices, more information, and more power than ever.

The winners will be the brands that listen, adapt, and innovate – not just react. The losers? They risk becoming relics of an industry that couldn’t keep up.

Kadence is a global market research firm helping food and beverage brands decode consumer behavior, price sensitivity, and taste preferences. If you want to understand how packaging changes impact demand – and what drives buyers’ choices – reach out to us.

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