We had the opportunity to chat with Sachit Gupta, Vice President of Kadence International’s India office, as part of our ‘People in Research’ series. Sachit has a wealth of experience in the industry and an impressive grasp of the Indian market, which made him the ideal person to ask about the most recent market research trends, challenges, and possibilities for rural India research.

Can you tell us about your journey to becoming Vice President of Market Research at Kadence International’s India office?

I started my career in 2001 with a leading industry chamber as a research executive. Initially, I worked on policy research and, in 2004, got into primary research. I joined Mode Pvt Ltd. (now GfK) as a research executive and worked in different positions for the next ten years. I was primarily looking after consumer research businesses and handled some of the key clients, such as Coca-Cola India and YUM Foods. I was also India lead for the mystery shopping business at GfK.

In 2015, I joined Karvy Insights, an Indian start-up market research company, as Associate Vice President and handled various corporate and social sector clients for seven years. Some of the key clients I serviced were Carlsberg, Syngenta, and Dabur (an Indian FMCG company).

Finally, in 2022, I joined the Kadence India office as Vice President. Currently, I oversee the Insights business at Kadence India.

How has the market research industry in India evolved since you first started?

The market research industry in India has seen many changes in the last decade. The explosion of data volumes, types of data, and sources, and, more importantly, the pervasiveness of technology, has substantially expanded and enabled many non-traditional methods of research.

We have come a long way from the days of pen-and-paper interviews to electronic interviews, from program-based analysis to the use of machine learning, artificial intelligence and predictive analysis to make sense of big and complex data.

Similarly, there is a significant shift in how we collect data from memory-based responses and elaborate diary-based data collection methods to more reliable and accurate passive data collection techniques using app-based technologies.

COVID, in many ways, has acted as a catalyst in promoting technology and tech-based solutions in market research. Agencies are adopting shorter, cheaper, smarter interviewing techniques to gather real-time data and provide quick and reliable client solutions.

Another change I see happening is the consolidation in the industry. The prominent players in the industry today are trying to focus on their core strengths, that is, insights and consulting, and outsourcing many of the support functions, such as field operations and analytics, to smaller boutique firms. It is an effective way to stay leaner, more focused, and profitable long-term.

What sets Kadence International apart from other market research companies you’ve worked for?

At Kadence, we have the reach and network of a large global company, but at the same time, we are nimble and flexible when it comes to customizing solutions for clients.

Today, when most large agencies are outsourcing support functions such as operations and analytics, we at Kadence take pride in having all functions in-house. This helps us keep close control of quality and overall project management.

Also, the culture at Kadence India is collaborative and cohesive. We are a small, closely-knit unit; all departments work in close coordination. The top management is entirely hands-on and can be approached 24X7 for any issue.

How do you ensure timely and cost-effective delivery of market research projects?

We follow a few principles to ensure projects remain profitable and are delivered on time.

  • There is the involvement of the operations team at the proposal writing stage. We ensure there is a buy-in from the operations team on the feasibility of accessing the target group, field budget, and timelines at the proposal submission stage. It ensures that all stakeholders are aligned on the agreed deliverables and avoids time and cost overruns later on.
  • Similarly, educating the clients on the minimum time required for us to collect quality data, the optimum length of the interview, and other such timelines is equally essential. We understand our clients have pressing deadlines, but we are responsible for educating them on certain aspects to deliver quality output.
  • Finally, strict adherence to set protocols and processes within the internal teams at Kadence ensures we honor our commitments. We have documented procedures at Kadence, and much emphasis is laid on ensuring compliance at all levels.

Can you share a particularly challenging research project you’ve worked on and how you overcame any obstacles?

The research that comes to my mind is the one where we had to study the consumers of hair color. The study’s objective was to do a sufficiency test with respondents to assess whether the quantity of hair color was sufficient. As we had to test two product samples sequentially, ensuring the respondent applied the hair color when a good number of hair strands had turned grey was critical. In the normal course of fieldwork, it would have meant leaving the decision to the judgment of the field investigators. This would have introduced an element of subjectivity into the research.

As a solution, we created a WhatsApp group wherein we asked the respondents to post a photograph of their hair before applying hair color. Specific parameters regarding what percentage of hair should be grey for the application of color were decided in consultation with the client. A dedicated team of researchers was set up to scan the photographs of all respondents. We only asked the respondents to use the hair color when the criteria were met.

This brought much objectivity into the study and ensured the final results had no personal bias. The findings were well received by the client.  

What are some of the most significant opportunities for market research in India?

The Indian research and insights industry grew at approximately 12% CAGR from FY17 to FY20 and is expected to double by FY26. I see a lot of opportunities and headroom for the business to grow. To be specific, I see the following trends or opportunities in the next few years:

  • The ask from research agencies will be much beyond simple analytics. There will be strong expectations from the clients in terms of value-based insights using advanced analytics such as machine learning and predictive analytics.
  • The pandemic accelerated the shift towards online panels. This trend will continue in the future. Due to the advantages of economy and speed, I see a declining preference for face-to-face, in-person interviews and a greater proliferation of online panels.
  • Much stronger focus on rural research. We are already seeing saturation in urban markets, and the rural economy in India will fuel the next level of growth. Therefore, there will be a sustained focus of all clients on understanding consumer behavior in the rural markets.

How does Kadence International incorporate technology into its market research methodologies?

Technology is at the heart of all the research we do. Kadence India has one of the largest state-of-the-art CATI infrastructures in India. We are also investing heavily in creating our independent online panel, which should be up and running soon.

In addition, there is a conscious focus on promoting digital data collection modes, whether online qualitative interactions, app-based surveys, or passive data collection.

We have a full suite of data collection techniques and customize our solutions depending on the client’s needs and budget. 

How does your team stay current on market research trends and advancements?

One of the KRAs for research managers is proactively using cutting-edge tech-based solutions for research problems. We always seek technology partners to collaborate for new and innovative methodologies. These collaborations and interactions with technology partners give the team good visibility on the emerging trends in the technology space and how best they can use those solutions in tackling clients’ marketing issues.

We also organize knowledge dissemination sessions within the insights team, wherein, if a particular team uses a new technology or an innovative methodology, they are encouraged to share it with other team members through these sessions. The larger objective is to promote a culture of sharing and learning and stay updated on new and emerging trends.  

What is the culture like at Kadence International’s India office?

We have a closely-knit team at Kadence India. There is a collaborative culture between functions, and everyone works towards a unified objective of business growth and client satisfaction.

Having said this, we strive to ensure a good work-life balance for our researchers. They are encouraged to take vacations, spend quality time with family and maintain a family-like environment at the workplace too. We invest in their training and development from time to time for their continued professional growth.

We recently initiated Learning and Fun Sessions (LAF) to encourage team bonding and cohesiveness at Kadence. The objective is to make these sessions as interactive as possible and provide platforms within the company for team bonding and learning. The initial response to the sessions has been very encouraging.

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How do you balance the commercial aspects of market research with the ethical considerations involved in conducting social research projects?

Social research projects are generally large-scale projects and thus contribute immensely to the top line of the business. Similarly, since most of these projects are for the government or multilateral bodies, a prestige value is attached, which is also crucial for future business and the organization’s visibility.

Many social research projects are in health or on sensitive topics. Therefore, there are a lot of research-related ethical considerations and protocols one has to keep in mind.

It is important to take a long-term view when pitching for such projects and strike a balance between commercial aspects and ethical considerations of research. 

How do you ensure clear and effective client communication throughout the research?

Communication is an integral part of the research process. In fact, it is critical to ensure a project’s success and maintain good client relationships. There are a few practices at Kadence India that we follow: 

  • Right at the project’s inception, we ensure a kickoff meeting between the research team at Kadence and the key stakeholders from the client side. This is important to ensure everybody is on the same page regarding study expectations and deliverables.
  • In the meeting, we also appoint a single point of contact from our team to spearhead all client communications from the research team. Similarly, we request the client to select a single point of contact from their team. This ensures clear lines of communication and avoids confusion or multiple people communicating with the client.
  • It is also important to keep the client informed of various milestones with respect to the progress of the study. So we have a system of giving regular updates to the client on how fieldwork is progressing, any issues faced in the research, and timelines for the deliverables.
  • We make it a point to keep the client informed of any exigencies faced in the study. So, if the fieldwork is getting delayed or there is an expected delay in reporting, the same is communicated immediately to the client. 

What is your favorite aspect of working in the market research industry?

In the last 20 years, I have worked across clients and product categories. The sheer diversity in client issues and problems, the nature of the business, and the people we interact with daily make it an exciting space to work. It allows you to learn and grow every moment and gives you immense satisfaction that, in some way, you are a part of the story of your client’s growth.

In a project execution role, I made it a point to visit the field and interact with consumers. The first-hand experience of directly interacting with people and then translating their issues and problems into actionable strategies for higher-up authorities gives a great sense of achievement and satisfaction.

How do you prioritize tasks and manage time effectively when overseeing multiple research projects simultaneously?

Empowering your teams and encouraging them to take ownership of clients and business is very important. Therefore, I delegate as much as possible and give them the space to make decisions that are in the larger interest of the projects and clients. At the same time, being in a senior position makes it impossible to lose sight of what is happening on projects. Therefore, I try to balance giving teams autonomy while ensuring they stay on course.

Typically, I start my day with a checklist of activities/ tasks to be done during the day and religiously ensure I finish those tasks and do not carry them forward to the next day. So far, it has helped me prioritize tasks and manage time effectively.

Can you tell us about a particularly successful market research project you’ve overseen and what contributed to its success?

I remember overseeing a large market entry strategy research for a global FMCG brand. The study was challenging as it required an accurate estimation of the market size for the category and a nuanced understanding of the current behaviors and habits of Indian consumers across the diverse geographies of India. It also required close coordination between the qualitative and quantitative research teams as the client sought a comprehensive market entry strategy for the brand. The study spanned six months, and at the end of it, it turned out to be a successful project helping the client implement an entry strategy for the brand. It also opened doors for us to get more business from the same client.

Teamwork and our qualitative and quantitative researchers working in close coordination contributed immensely to the project’s success.

What are some unique challenges in conducting research in rural areas of India, and how do you approach them?

India is a diverse country with 29 States and seven Union Territories covering more than 600 districts, roughly 8,000 towns, and more than 0.6 million villages.

There is vast heterogeneity in population characteristics due to socio-cultural factors, caste-based divisions, and religious and linguistic diversity.

Specifically, in the Indian context, ensuring that data capturing and research methodologies are amenable to different languages, literacy levels, and differentiated access/familiarity with the internet is critical.

For the above reasons, research and data collection becomes challenging and calls for a robust methodology that mirrors India’s diversity.

“A one size fits all approach” does not work well when designing a survey or methodology for rural India. For example, poor and backward States like Bihar, Uttar Pradesh, West Bengal, and Madhya Pradesh have more than 75-80% of their population living in rural areas. In contrast, urbanized states like Tamil Nadu, Maharashtra, and Telangana are more equitable in distribution.

Therefore, each State has its unique demographic and socio-cultural profile, which must be considered while designing the sampling methodology in any primary research survey.

Therefore, the key to rural research is managing heterogeneity, linguistic diversity, and gender inclusivity while ensuring project representativeness and commercial viability. One has to strike a balance between the two.

What do you like to do in your free time?

I play with my two kids in my free time. I like spending quality time with them and participating in their school and outdoor activities.

I also keep abreast of the latest developments/ technologies in the market research sector.

For a deep dive into the changing face of qualitative research and the impact of technology on market research in India, read our blog post here.

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Augmented Reality (AR) technology has revolutionized how brands approach marketing. AR allows brands to create immersive experiences seamlessly blending virtual and real worlds. This technology has opened up new opportunities for marketers to connect with their customers and create a more engaging and personalized experience. 

AR is the future of marketing —it allows brands to create immersive experiences that are personalized and engaging. AR is also becoming more accessible as technology continues to evolve. As more people adopt AR-enabled devices like smartphones and smart glasses, the opportunities for brands to use AR in marketing will only increase.

This blog post will discuss how brands can use Augmented Reality in marketing, why AR is the future, which brands are leading in AR, and some use cases in industries like banking, travel, retail, medical, and fitness.

How Brands Can Use Augmented Reality (AR) in Marketing

  • Product Visualization: Brands can use AR to create virtual product demos that allow customers to visualize how a product looks and functions in the real world. For example, Ikea’s AR app allows customers to visualize furniture in their homes before purchasing.
  • Interactive Ads: Brands can use AR to create interactive ads that allow customers to engage with their products more effectively. For example, Pepsi used AR to create a bus shelter ad that allowed customers to play a game of soccer with virtual players.
  • Virtual Try-On: Brands can use AR to create virtual try-on experiences that allow customers to see how products will look on them before making a purchase. Sephora’s AR app allows customers to try on makeup virtually.
  • Gamification: Brands can use AR to create gamified experiences that allow customers to interact with their products in a more engaging way. McDonald’s used AR to create a Monopoly-themed game that customers could play in-store.

How can CMOs prove to the board these new technologies are working and that they should implement them? 

To prove the effectiveness of AR in marketing, marketers must measure the impact of AR on their campaign metrics. This can be done by tracking Key Performance Indicators (KPIs) like engagement, brand awareness, sales, and customer satisfaction. Brands can measure AR’s impact using various methods, including surveys, A/B testing, and analytics tools. By demonstrating a clear ROI and a positive influence on these KPIs, CMOs can make a compelling case to the board for implementing AR and other new technologies.

Let’s look at the differences between VR and AR in marketing.

Virtual Reality (VR) and Augmented Reality (AR) are two technologies that are often confused but have some essential distinctions.

Virtual Reality is a technology that immerses users in a completely virtual environment, often through a headset. VR experiences can be used in marketing to create fully immersive experiences that allow customers to explore a product or service in a virtual environment. For example, car companies like Audi have used VR to create virtual test drives enabling customers to experience a car before purchasing.

On the other hand, Augmented Reality is a technology that overlays virtual content onto the real world, often through a smartphone or tablet. AR experiences can be used in marketing to create interactive and personalized experiences that allow customers to engage with a product or service in the real world. For instance, beauty companies like L’Oreal have used AR to create virtual try-on experiences that allow customers to see how makeup will look on their faces before making a purchase.

One of the main differences between VR and AR in marketing is the level of immersion. VR provides a fully immersive experience that can transport users to a virtual environment, while AR provides a more interactive and personalized experience that overlays virtual content in the real world.

VR and AR in marketing also require different levels of technology needed. VR experiences typically require more advanced technology, like a VR headset, while AR experiences can be created using a smartphone or tablet.

VR and AR are two different technologies that can be used in marketing to create different experiences. CMOs should consider the goals of their marketing campaign and the preferences of their target audience when deciding which technology to use.

The most notable and significant difference between AR and VR is that AR adds things to a person’s existing world, and VR immerses them in a new world, so while the VR world is a new reality, AR supplements an existing reality.

Which of these technologies is better for marketers?

The excitement and enthusiasm for AR and VR technologies are evident, yet how these technologies influence consumers remains uncertain. Tim Hilken of Maastricht University in The Netherlands undertook a research project to understand better AR and VR’s impacts on the consumer experience. The results indicated that both technologies could effectively achieve marketing objectives with different outcomes. Specifically, AR proved more efficient at generating higher purchase intentions, while VR elicited more favorable attitudes towards the brand.

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Why Prioritize Augmented Reality Over Virtual Reality?

In most cases, consumers would naturally prefer AR over VR, and here’s why. 

Augmented Reality grants a new dimension of depth to our world, enhancing our senses and immersing us in a new reality beyond the limitations of what we perceive. Unlike Virtual Reality, AR empowers us to live in our Reality while unlocking infinite possibilities that can improve our lives.

Humans have an innate desire to stay grounded in the real world, and AR provides the perfect solution to make that happen. Simply overlaying computer-generated content onto our everyday experiences, we can step into an enhanced metaverse while firmly planted in the real world.

When it comes to VR, it can be isolating and somewhat disorienting for many individuals, and most people do not want to spend hours looking at screens right in front of their eyes.

The benefits of AR, however, are numerous. Its interactive capabilities unprecedentedly open up the potential for education, work, travel, and entertainment. Whether it’s a museum tour or a surgical procedure demonstration, AR takes learning to a new level. Imagine experiencing art and museums, getting around a new city, or even redecorating your home without leaving your front door.

AR brings to life a whole new universe of possibilities. With an immersive first-person perspective and the freedom to customize your view to your preferences, AR provides an extraordinary sensory experience that both VR and the real world alone could never replicate. AR allows you to see what others see in real-time.

Augmented Reality has limitless potential to improve our lives, and it’s time we embrace the real-world solutions it offers.

The use of AR in the Metaverse

The metaverse is a term used to describe a virtual world where people can interact with each other and digital objects in a fully immersive way. It is a fully realized virtual universe that is not constrained by the physical world’s limitations. In the metaverse, users can create and customize their digital avatars and interact with other users in real-time.

On the other hand, Augmented Reality (AR) is a technology that overlays digital content onto the physical world. AR enhances the real world by adding virtual objects, images, and information visible to users through mobile devices, smart glasses, or other AR-enabled devices.

While the metaverse and AR are related to creating virtual experiences, the critical difference is the level of immersion. The metaverse is a fully immersive digital world where users can interact with each other and digital objects in a virtual environment. In contrast, AR enhances the real world by adding virtual elements on top of it.

As augmented reality technology grows more accessible and cost-effective, more people use it. Marketers can pair AR with the metaverse to develop vivid experiences.

In augmented Reality (AR), data tags and overlays pop up over virtual and tangible objects, providing details and action points so you can see real and virtual things simultaneously.

Augmented Reality in the metaverse offers unprecedented opportunities for marketers. By utilizing AR-based product visualizations, brands can create emotionally engaging, interactive experiences that can be accessed from anywhere. This could revolutionize the marketing industry by breaking the bounds of traditional advertising and bringing the advantages of AR to the masses.

Persistent Augmented Reality

A report shows that over 50% of smartphone owners already use AR apps when shopping. 

Augmented Reality (AR) offers a way to blend virtual elements into the real world. With Persistent AR, digital imagery and sounds become part of the world beyond when you’re using them, allowing for a longer-term experience and presence. Persistent AR is seen as an essential tool to facilitate the evolution of the metaverse.

Persistent AR is an innovative technology that overlays digital objects in real-world environments seamlessly and persistently. In other words, it allows users to interact with virtual elements in the real world for an extended period without interruptions. Persistent AR has gained immense popularity in various fields, including entertainment, education, gaming, and retail, to name a few.

A noteworthy example of Persistent AR is the game “Pokémon GO.” This game overlays digital creatures in the user’s real-world environment and allows them to interact with them in real time. The game uses the smartphone’s camera and GPS to track the user’s movements, enabling the creatures to follow them. This type of persistent AR is also known as location-based AR.

Another example of persistent AR is the app “IKEA Place.” This app allows users to place digital furniture in their real-world environment and see how it would look. The app uses the smartphone camera to measure the room’s dimensions, ensuring the digital furniture is proportionate and scaled correctly.

The retail industry uses Persistent AR to enhance the shopping experience. Many cosmetic companies have launched AR try-on apps allowing customers to try different makeup products virtually. These apps use facial recognition technology to map the customer’s face, allowing them to see how different products look on their skin.

Persistent AR is revolutionizing how we interact with digital content in the real world. Its endless possibilities offer numerous benefits in various industries, making it an essential tool for the future of technology.

Persistent Augmented Reality (AR) technology enables the placement of virtual objects in the same location each time they are viewed. Apple ARKit and Google ARCore, amongst other mobile AR APIs, allow this kind of experience to be created. Marketers can use this by deploying virtual billboards that stay visible within a given area of the metaverse.

Platforms and brands leading in AR

  • Apple: Apple’s AR kit has made it easy for developers to create AR experiences for iOS devices. Apple has also integrated AR into its products, such as the AR-enabled Measure app.
  • Snapchat: Snapchat’s AR filters and lenses have been a hit with users, allowing brands to create their own AR filters and lenses for advertising.
  • Google: Google’s ARCore has made it easy for developers to create AR experiences for Android devices. Google has also integrated AR into its products, such as the AR-enabled Google Maps.
  • Facebook: Facebook’s Spark AR Studio allows developers to create AR experiences for Facebook, Instagram, and Messenger. Facebook has also launched AR ads allowing brands to create interactive AR ads.

Use cases of AR across Industries

Augmented Reality is a game-changer in the marketing field. It provides brands with a new platform to create immersive experiences that are personalized and engaging. The application of AR in industries like banking, travel, retail, medicine, and fitness highlights the potential for AR to transform the way we interact with products and services. As more brands embrace AR, we expect to see more innovative and exciting use cases emerge.

Here are some noteworthy examples of how various industries are utilizing AR technology. 

  • Banking: AR can be used in banking to create virtual banking experiences that allow customers to manage their finances in a more engaging way. Bank of America’s AR app lets customers visualize their account balances and transactions.
  • Travel: AR can be used to create virtual tours that allow customers to explore destinations before they book their trips. Marriott’s AR app allows customers to explore hotel rooms and amenities before booking.
  • Retail: AR can create virtual shopping experiences that allow customers to try on products and visualize how they will look in their homes. Ikea’s AR app allows customers to see how appliances and furniture will look in their homes.
  • Medical: AR can be used in medicine to create virtual training experiences that allow medical professionals to practice procedures in a safe and controlled environment. For example, AccuVein’s AR device enables medical professionals to see veins under the skin to facilitate IV insertions.
  • Fitness: AR can be used in fitness to create virtual workout experiences that allow customers to participate in personalized and engaging workouts. Peloton’s AR app allows customers to participate in virtual cycling classes and see their progress in real-time.
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How Can AR Be Used for Marketing Today?

While it’s still early days for AR, and we have not quite reached widespread adoption, brands must start thinking about using AR capabilities now to prepare for the future once it is accessible enough for rapid mass adoption. It is essential to understand what makes the technology better and what practical use cases exist for this technology. How can AR help brands position their products in the best way possible? And how can it enhance experience and engagement? 

The technology enables marketers to position their products and services favorably while allowing customers to build an experience around the products that pique their interest. In this way, AR opens a world of possibilities not only on how but also where and the scenarios in which the product may be used.

In a world where customers want to be in control of how they want to engage with brands, AR can become an essential component of a marketer’s toolkit. 

Pairing AR in the metaverse to elevate brand experiences.

How does AR marketing fit into the metaverse for brands? 

While the mass adoption of the metaverse is still in progress, there is a significant number of regular users that brands can leverage. 

Marketers must understand that the metaverse extends beyond virtual worlds, gaming, and PR events. The metaverse’s larger opportunity for brands lies in the real world rather than within metaverse worlds like Horizon Worlds, Decentraland, Roblox, or the Sandbox.

The most significant advantage of using AR is the endless possibilities it creates that do not exist in real life. 

In the metaverse, AR will allow consumers to interact with and experience a product before buying it, creating a solid connection between the buyer and the product. Online shoppers can use virtual try-on filters to see how they would look wearing hats, shoes, watches, and clothing, among other items, without visiting a store. This increases customer satisfaction and significantly reduces returns and exchanges. Similarly, furniture shoppers can test whether a product will fit in their living rooms and many other products.

What does this mean to brands when it comes to AR marketing in the metaverse? Although we haven’t yet reached the mass adoption stage, brands have enough consumers to begin testing AR as a marketing and engagement tool. 

Imagine virtual artwork on our living room wall that is animated and keeps changing; people can also interact with it. Or consider assembling furniture or other complex products, where AR can provide step-by-step visual instructions overlayed directly onto the assembled objects. AR can be integrated into gaming experiences, allowing virtual objects and characters to interact with the real world. For example, players can use their smartphones to see virtual creatures overlaid in their physical environment and engage in augmented reality battles or quests.

These scenarios are meaningful opportunities for brands to engage with prospects and customers. Currently, many brands use AR to enhance their marketing efforts, and most often, this is accomplished through AR-enhanced mobile apps.

We know that today’s consumers prefer shopping online, and AR helps provide what is missing from the online shopping experience. With AR, they can try things out and interact with a product before purchasing it, mimicking the in-store experience more closely. 

The rapid pace of technological advancements and the continuous implementation of innovative ideas in immersive Reality suggests that the emergence of the metaverse is inevitable. The metaverse is set to be constructed collectively, with many imaginative individuals contributing creative concepts and practical applications daily. And AR, more than VR, will be at the forefront of this metaverse. 

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Marketers worldwide are drawn to the next big thing to help them optimize the ROI on their ad spend, and they are increasingly betting on data-driven ad targeting. So, naturally, marketing budgets in many countries are shifting to Connected TV or CTV.

With a continued shift to streaming TV and the speed at which things are moving, marketers are increasing CTV budgets, especially in more developed markets like the US and the UK.

78% of US and 90% of UK marketers plan to continue investing more in CTV advertising. 

Marketers must stay current with the latest trends to remain competitive and relevant. The shift in TV viewing habits to Connected TV (CTV) has opened up a world of opportunities for marketers to reach their target audience in a more engaging way. CTV advertising is a must-know strategy for any brand looking to stay ahead of the curve and maximize its marketing efforts. 

What is CTV?

CTV, or Connected TV, refers to any TV set connected to the Internet, allowing viewers to stream content through various apps and services. Unlike traditional Linear TV, CTV provides audiences with an on-demand, personalized viewing experience.

OTT, or Over-the-Top, is often confused with CTV, which refers to delivering TV and video content through the Internet rather than traditional broadcasting methods. CTV and OTT have become increasingly popular among consumers, with market research indicating a steady rise in cord-cutting and increased streaming services worldwide. For brands, CTV offers a new and highly effective platform for advertising and reaching audiences who are consuming content in a non-traditional way.

How does CTV Differ from Linear TV?

Television advertising has come a long way since its inception in the 1940s. Advertisers have relied on traditional Linear TV for decades to reach their target audience. However, with the introduction of Connected TV, there has been a significant shift in how people consume television content.

So, how does CTV differ from traditional Linear TV?

The most significant difference lies in the delivery method. While Linear TV broadcasts content on a predetermined schedule, CTV streams video content through an internet-connected device, such as a smart TV, streaming box, or gaming console. This allows viewers to access content on-demand and anytime, eliminating the need to adhere to a pre-scheduled TV programming lineup.

CTV advertising marries the power of traditional TV advertising with the preciseness and measurement capabilities of a digital ad medium.

81% of marketers worldwide report planned increases in CTV advertising budgets.

One of the major benefits of CTV advertising is the ability to target specific audiences. With CTV, marketers can leverage market research to deliver targeted ads to the right consumers based on demographic data, interests, and behavior. In contrast, Linear TV ads are often less targeted, as they rely on broad audience demographics like age and gender.

Another significant difference is the level of audience engagement. While traditional Linear TV often involves passive viewing, CTV viewers are likelier to engage with the content they consume. Viewers can pause, rewind, or fast-forward through ads, making it crucial for brands to create compelling content that captures their attention and keeps them engaged.

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The Benefits of CTV Advertising

As marketers seek ways to engage with their audiences effectively in today’s fast-paced digital age, CTV advertising has become very popular.

Let’s look at some important benefits of CTV advertising for brands:

Data-driven insights.

It offers data-driven insights into viewer behavior, preferences, and engagement. This helps advertisers understand their audience better and create more personalized campaigns.

“80% of what people play on Netflix actually comes from the recommendation algorithm.” 

-Aish Fenton, Director — Machine Learning, Netflix

Targeting capabilities.

CTV advertising provides targeting capabilities that allow advertisers to reach specific audiences. Advertisers can use audience data, such as location, age, and interests, to serve relevant ads to viewers.

Non-skippable ads.

CTV ads are non-skippable, which means viewers must watch the entire ad. This results in a higher engagement rate than other digital advertising forms. Advertisers can use this to their advantage by creating high-quality, visually appealing ads that capture the viewer’s attention.

Accurate, measurable results.

CTV advertising provides accurate measurement tools that allow advertisers to track and measure the success of their campaigns. Advertisers can see how many viewers watched their ad, how long they watched it, and whether they took any action, such as clicking a call-to-action button.

The Five Stages of CTV Planning

Define your target audience.

The first step in CTV planning is to understand who your audience is and how they consume TV content. Conducting market research to identify their viewing habits, preferences, and demographics can help you create a targeted CTV advertising campaign.

Netflix clearly understands its target audience, and its CTV ads are designed to speak directly to this demographic, featuring music and humor that resonates with them.

Set objectives.

Define what you want to achieve with your CTV campaign. This could be increased brand awareness, lead generation, or increased sales. Having clear objectives in mind will help guide your strategy and ensure you measure the success of your campaign effectively.

Choose your CTV platform.

Several CTV platforms are available, each offering different features and targeting options. Research which platforms your target audience will use and select one that aligns with your campaign objectives.

Consider working with a partner to access multiple platforms.

For instance, Amazon Prime Video uses Amazon’s extensive customer database to target its CTV ads. They use personalized messaging and relevant product suggestions to engage customers, increasing conversion rates.

Develop a media plan. 

After choosing your platform, you must decide where and when your ads will appear. This involves selecting ad formats, determining the frequency and reach of your campaign, and creating a budget. A media plan will help you allocate resources effectively and reach your target audience.

Monitor and optimize your campaign.

CTV campaigns are not set-and-forget; they require ongoing monitoring and optimization. Monitor your campaign’s performance using Key Performance Indicators (KPIs) such as reach, frequency, engagement, and conversions. Make changes as needed to improve the performance of your campaign.

Your CTV ads should be compelling, creative, and engaging, designed to capture attention and leave a lasting impression. Use video and interactive elements to create an immersive experience.

Coca-Cola’s 45-second TV commercial, ‘2023 March Madness: Best Blocker Ever’ starring “Dave,” Lil Dicky and Taco star alongside Magic Johnson, made quite a sensation across platforms.

Market research is crucial to CTV planning as it helps you make informed decisions at every stage. It provides insights into your target audience, identifies opportunities and challenges, and enables you to understand the effectiveness of your campaign. By conducting thorough research and following these five stages, you can create a successful CTV advertising campaign that delivers results and keeps your brand relevant in the digital age.

Peloton’s successful CTV advertising strategy

Peloton is a famous fitness brand that took the world by storm with its home exercise equipment and digital classes. In 2020, the company launched a new CTV advertising campaign to promote its digital app and attract new users. The campaign featured a series of dynamic, visually appealing ads that showcased the benefits of Peloton’s app, including convenience, variety, and community. The ads were tailored to different demographics, with messages and imagery designed to appeal to busy professionals, parents, and fitness enthusiasts.

Peloton is a famous fitness brand that took the world by storm with its home exercise equipment and digital classes. In 2020, the company launched a new CTV advertising campaign to promote its digital app and attract new users. The campaign featured a series of dynamic, visually appealing ads that showcased the benefits of Peloton’s app, including convenience, variety, and community. The ads were tailored to different demographics, with messages and imagery designed to appeal to busy professionals, parents, and fitness enthusiasts. 

The brand’s latest 15-second TV commercial, ‘2023 Mother’s Day: Something She’ll Come Back To,’ is another example of how brands in various industries invest more in CTV advertising this year.

Measuring Success with CTV

As with any marketing strategy, measuring success is critical for ensuring that your CTV advertising efforts are making an impact. Fortunately, as discussed before, CTV advertising offers a range of metrics that can help you gauge the effectiveness of your campaigns. 

Here are a few key metrics to consider:

Viewability. 

Viewability measures the percentage of an ad that is actually visible to the viewer. On CTV, viewability tends to be higher than on other digital platforms since viewers are typically focused on the screen and not multitasking.

Completion rate. 

The completion rate measures the percentage of viewers who watch an entire ad from start to finish. On CTV, completion rates are higher than on other digital platforms since viewers can’t skip or fast-forward through ads.

Click-through rate. 

Click-through rate measures the percentage of viewers who click on an ad to visit the advertiser’s website. While CTRs tend to be lower on CTV than on other digital platforms, they can still be a valuable metric for tracking engagement.

Conversions. 

Ultimately, CTV advertising aims to drive conversions – whether that’s sales, sign-ups, or another type of action. Measuring conversions requires tracking viewers who saw your ad and took a specific action. 

While conversion tracking on CTV can be more complex than on other digital platforms, it’s still possible through attribution modeling and retargeting techniques.

To get the most out of your CTV advertising campaigns, it’s essential to use a range of metrics to measure success. By tracking metrics like viewability, completion rate, click-through rate, and conversions, you can gain valuable insights into your campaigns’ performance and optimize them for even greater success.

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How will Contextual Targeting on CTV and OTT Platforms take your brand to the next level?

Contextual targeting is an advertising strategy that delivers ads to specific viewers based on the content they are watching. It’s an essential tactic in CTV advertising because it can help increase relevancy and reduce ad fatigue.

Contextual targeting uses machine learning algorithms to analyze the content that a viewer is consuming and delivers ads that are relevant to that content. For example, if a viewer watches a cooking show, the ads could be for kitchen gadgets or cooking ingredients.

According to a study by Adweek, contextual targeting in CTV advertising has resulted in a 41% higher brand recall and a 25% higher purchase intent than standard targeting methods.

This is because viewers are likelier to pay attention to an ad relevant to the content they are consuming.

Contextual targeting on CTV and OTT platforms is crucial for engaging viewers with relevant ads. Ads that are contextually relevant to the environment in which they are viewed are more likely to be seen and responded to. This increases the possibility of converting viewers into consumers. On the other hand, irrelevant ads may be viewed as unpleasant and negatively impact the connection with the brand and product offering. Advertisers who align their content with the context of digital advertising can boost the long-term impact of their TV ads and promote consumer loyalty. Overall, context is essential in all types of media, including CTV.

Subway, the sandwich giant, leveraged the star power of celebrity icons like Tom Brady and Serena Williams to unveil new menu options and a huge giveaway to boost brand awareness and excite their target audience. This campaign proved highly effective on Connected TV platforms, resulting in a 33% increase in sales.

Kitchen appliance brand Breville partnered with the cooking show “America’s Test Kitchen” to deliver contextual ads to viewers of the show. The ads featured Breville products relevant to the cooking techniques demonstrated on the show, such as a blender for making smoothies or a toaster oven for baking. As a result, Breville saw a 42% lift in brand awareness and a 20% lift in purchase intent.

In addition to improving ad performance, contextual targeting ensures that brands deliver ads in a brand-safe environment. By analyzing the content viewers watch, advertisers can ensure their ads are not shown next to inappropriate or controversial content.

To implement contextual targeting in your CTV advertising strategy, you can work with CTV advertising platforms that offer this feature, such as Amazon Advertising or Roku’s OneView Ad Platform. You can also use third-party tools like Grapeshot or Integral Ad Science to analyze the content that your ads will be shown next to.

Future trends in CTV Advertising

As the world continues to shift towards a more digital-first landscape, it’s no surprise that the future of CTV advertising is bright. It is predicted that by 2023, over 200 million people in the US alone will be streaming CTV content. That means advertisers who want to stay ahead of the curve must be ready to pivot their strategies to take advantage of this new medium.

One of the biggest trends in CTV advertising is a move towards more programmatic buying. Advertisers increasingly use automated systems to buy and place ads rather than relying on manual processes. This allows for greater efficiency, faster decision-making, and better targeting.

Another trend that’s emerging is the use of data-driven targeting. Advertisers can create more tailored campaigns designed to resonate with specific demographics as they gain access to more data on their target audience. This not only increases the chances of engagement and conversion but also helps to build stronger brand affinity.

We also see a growing trend toward using interactive and immersive ad formats. With CTV, brands can create rich, interactive experiences that engage users in new and exciting ways. Whether through interactive overlays, immersive ad experiences, or even full-blown gaming experiences, the sky’s the limit when it comes to the possibilities of CTV advertising.

CTV advertising provides several benefits that can help brands stay relevant in the ever-changing digital landscape. Its data-driven, targeted, engaging, and measurable features make it a must-know strategy for marketers who want to create successful campaigns that resonate with their audience.

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As we see the return of normalcy and tourism rebounding, our latest report, Navigating Emerging Trends in Global Travel and Tourism, closely examines the trends shaping the future of the travel industry. This report explores five global travel trends shaping the future of travel in 2023 and beyond. 

The travel brand of the future is not just focused on transportation, discovering new destinations, or arranging trips. Instead, it has a progressive and holistic 360-degree approach that considers every aspect of the traveler’s journey to create exceptional, personalized, and unforgettable experiences. 

Download our insightful report, “Navigating Emerging Trends in Global Travel and Tourism,” to discover how leading travel brands keep up with the modern traveler. 

Today’s traveler seeks a personalized, customized, frictionless, and stress-free travel experience from start to finish. Integrating technology provides travelers with personalized and bespoke experiences. Read our case study on how Hopper became one of the fastest-growing OTA (Online Travel Agency) brands by offering a highly personalized, data-driven travel platform. 

Virtual tourism, including VR and AR experiences, is becoming more popular, allowing travelers to explore new destinations from the comfort of their homes. But how are brands approaching this technology?

Download the full report to learn how Thomas Cook Airlines used VR technology’s ‘try before you buy’ approach in a highly engaging video contest. 

Digital nomadism is rising, creating a new type of traveler with unique needs and preferences. The report showcases an airline that developed a Super App, the best value one-stop travel and lifestyle app, to build a digital lifestyle hub that enables Digital Nomads.

Finally, sustainability and experiential travel are becoming more popular as travelers prioritize social and environmental responsibility. 

Experiential travel is expected to continue its growth trajectory as more travelers seek exclusive and personalized experiences. The report highlights G Adventures, which offers sustainable and community-based tourism experiences. 

Also, read about the award-winning Changi Airport, which is ahead of the curve in sustainability practices across all areas. 

2023 is seeing a surge in travel despite economic uncertainty and high inflation. So what has changed post-pandemic? Read the full report to gain insights into the changing travel landscape. 

Download the full report to discover the future of travel and how your travel brand can appeal to travelers’ changing attitudes and behaviors globally with insights for airlines, hotels, transportation, travel operators, OTAs, and cruise ships.

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In today’s hypercompetitive market, pricing and promotion optimization have become crucial for brands’ success. With the rise of price-sensitive consumers, companies must find ways to offer value without sacrificing profit margins. And that’s where data analytics comes in!

According to a recent study, companies that use data analytics to optimize pricing and promotions see an average revenue increase of 2-7%. That’s a significant boost to your bottom line!

But what exactly is a price-sensitive consumer? Well, studies have shown that nearly 60% of shoppers are price-sensitive when making purchase decisions. These consumers are highly aware of prices and will compare prices between products and brands to get the best value for their money.

As a marketer or market researcher, understanding the behavior of price-sensitive consumers is essential for developing effective pricing and promotion strategies. Data analytics lets you gain insights into their purchasing patterns, preferences, and attitudes toward pricing and promotions.

This blog will explore how data analytics can help you optimize pricing and promotions for price-sensitive consumers. We’ll cover different pricing strategies, promotions and discounts, data collection and analysis, and provide real-world case studies and best practices. So, let’s dive in and learn how to use data analytics to boost your revenue and attract more price-sensitive consumers!

Understanding Price-Sensitive Consumers: Unlocking the Secrets of Their Behavior

Have you ever wondered what drives price-sensitive consumers to make purchasing decisions? Understanding their behavior is the key to unlocking the secrets of their buying patterns and preferences.

Research shows that price-sensitive consumers are not necessarily bargain hunters but value seekers. They are looking for products and services that offer the best value for their money, not necessarily the cheapest option. Therefore, they tend to be loyal to brands that provide consistent quality, even if they are slightly more expensive.

One way to understand the behavior of price-sensitive consumers is by analyzing their demographics. Studies show that age, income, and education level are key factors that influence their purchasing decisions. For instance, younger, lower-income consumers tend to be more price-sensitive than older, more affluent consumers.

Another way to gain insight into the behavior of price-sensitive consumers is by looking at their shopping habits. They tend to be more likely to buy on sale or during promotions, and they tend to be more willing to switch brands to save money. In fact, nearly 60% of price-sensitive consumers will switch brands if they find a better deal.

Understanding the psychology behind price-sensitive consumers is also important. They tend to experience more guilt and regret when making purchasing decisions, which can influence their behavior. Therefore, offering clear and transparent pricing and promotions can help ease their guilt and increase their satisfaction with their purchase.

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Choosing the Right Pricing Strategy: How to Optimize Value for Price-Sensitive Consumers

Choosing the right pricing strategy is crucial for attracting and retaining price-sensitive consumers. With so many options available, it can be challenging to determine which strategy is right for your brand.

One common pricing strategy is cost-plus pricing, where a business adds a markup to its production costs to set a price. However, this strategy does not take into account the value perceived by consumers, and it may not be effective for price-sensitive consumers.

Another popular pricing strategy is value-based pricing, which sets a price based on the perceived value of the product or service to the customer. This strategy is particularly effective for price-sensitive consumers because it focuses on delivering value rather than simply offering the lowest price.

In fact, research shows that nearly 70% of consumers are willing to pay more for products and services that provide a superior experience. By focusing on value-based pricing, businesses can attract price-sensitive consumers looking for quality and value over the cheapest option.

Dynamic pricing is another pricing strategy that is effective for price-sensitive consumers. This strategy adjusts prices based on demand, allowing businesses to charge more during peak times and offer discounts during slower periods. This strategy can be particularly effective for businesses in industries with high demand fluctuations, such as the travel industry.

Ultimately, the right pricing strategy for your business will depend on your industry, product, or service, and target audience. By understanding the behavior of price-sensitive consumers and the different pricing strategies available, you can develop a pricing strategy that maximizes value and attracts price-sensitive consumers.

Promotions and Discounts: The Key to Attracting Price-Sensitive Consumers

Promotions and discounts are powerful tools for attracting price-sensitive consumers. In fact, nearly 90% of consumers say that promotions and discounts influence their purchasing decisions.

One popular promotion strategy is flash sales, which offer a limited-time discount on products or services. These sales can create a sense of urgency and scarcity, encouraging consumers to purchase before the promotion ends. Flash sales can be particularly effective for attracting price-sensitive consumers looking for a good deal.

Coupons are another effective promotion strategy. Research shows that nearly 80% of consumers use coupons when shopping. Coupons can be distributed through various channels, such as social media, email, or direct mail. They can also be personalized to target specific consumer segments, such as price-sensitive consumers who have previously purchased a product or service from your business.

Loyalty programs are another effective way to attract price-sensitive consumers. These programs offer rewards, discounts, or other incentives to customers who make repeat purchases or engage with your business in other ways. Loyalty programs can be particularly effective for retaining price-sensitive consumers and encouraging them to make repeat purchases.

It’s important to note that while promotions and discounts can effectively attract price-sensitive consumers, they can also reduce your profit margins. Therefore, it’s essential to carefully consider the cost of each promotion or discount and its potential return on investment.

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Data Collection and Analysis: Using Insights to Develop Effective Promotions and Discounts

Data collection and analysis are essential for developing effective promotions and discounts that appeal to price-sensitive consumers while maximizing profitability.

One way to collect data is through sales data analysis. By analyzing sales data, you can identify which products or services are popular among price-sensitive consumers and develop promotions or discounts to increase their value perception.

Another way to collect data is through surveys. Surveys can provide valuable insights into the behavior and preferences of price-sensitive consumers. For instance, you can use surveys to determine which promotions or discounts appeal to price-sensitive consumers or what factors influence their purchasing decisions.

Social media analytics is another valuable source of data. Social media platforms provide a wealth of information about consumer behavior, such as what types of products or services they are interested in and what kinds of promotions or discounts they respond to.

Once you have collected data, it’s important to analyze it to gain insights into the behavior of price-sensitive consumers. This can involve using statistical methods to identify patterns or trends in the data, such as which promotions or discounts are most effective or which consumer segments are most price-sensitive.

Using data analysis, you can develop promotions and discounts tailored to the behavior and preferences of price-sensitive consumers. This can increase the effectiveness of your promotions and discounts while also maximizing profitability.

Case Studies: Real-World Examples of Using Data Analytics to Optimize Pricing and Promotions for Price-Sensitive Consumers

Using data analytics to optimize pricing and promotions is not just a theoretical concept; many companies have successfully implemented these strategies to increase revenue and attract price-sensitive consumers. Let’s look at some real-world case studies.

Case Study 1: Amazon

Amazon is a leader in using data analytics to optimize pricing and promotions. The company uses sophisticated algorithms to adjust prices based on demand and competitor pricing dynamically. For instance, during the holiday season, Amazon adjusts prices every 10 minutes to ensure they offer the best deal to price-sensitive consumers.

Additionally, Amazon uses data analytics to personalize promotions and discounts for individual consumers. By analyzing customer data, Amazon can offer targeted promotions that appeal to price-sensitive consumers and increase their value perception.

Case Study 2: Walmart

Walmart is another company that has successfully used data analytics to optimize pricing and promotions for price-sensitive consumers. The company uses algorithms to analyze sales data and identify trends and patterns in consumer behavior. This allows Walmart to develop targeted promotions that appeal to specific consumer segments, such as price-sensitive consumers.

Walmart also uses data analytics to optimize its pricing strategies. For instance, the company has found that offering lower prices on certain items can increase foot traffic and increase sales of other, higher-margin items.

Case Study 3: Starbucks

Starbucks has also used data analytics to optimize its pricing and promotions strategies. The company analyzes sales data to identify popular products among price-sensitive consumers and develop targeted promotions and discounts.

Additionally, Starbucks uses loyalty programs to retain price-sensitive consumers. The company’s rewards program offers personalized promotions and discounts to members based on their purchasing history, encouraging them to make repeat purchases and increasing their value perception.

These case studies demonstrate the power of data analytics in optimizing pricing and promotions for price-sensitive consumers. By using data to gain insights into consumer behavior and preferences, businesses can develop strategies that appeal to price-sensitive consumers while maximizing profitability.

Best Practices: Actionable Recommendations for Optimizing Pricing and Promotions for Price-Sensitive Consumers

Now that we’ve explored the importance of data analytics in optimizing pricing and promotions for price-sensitive consumers let’s summarize the key takeaways and provide actionable recommendations for marketers and market researchers.

  1. Understand the behavior of price-sensitive consumers: By analyzing demographics, shopping habits, and psychology, you can develop strategies that appeal to price-sensitive consumers.
  2. Choose the right pricing strategy: Consider value-based pricing, dynamic pricing, and other strategies focusing on delivering value rather than simply offering the lowest price.
  3. Use promotions and discounts strategically: Use flash sales, coupons, and loyalty programs to attract price-sensitive consumers while maximizing profitability.
  4. Collect and analyze data: Use sales data analysis, surveys, and social media analytics to gain insights into consumer behavior and preferences.
  5. Personalize promotions and discounts: Use data analysis to develop personalized promotions and discounts that appeal to specific consumer segments.
  6. Optimize pricing and promotion strategies continuously: Use data analysis to adjust your pricing and promotion strategies based on consumer behavior and market trends.

By following these best practices, you can develop effective pricing and promotion strategies that appeal to price-sensitive consumers while maximizing profitability. Remember, using data analytics is key to achieving this goal.

The Future of Pricing and Promotions: Emerging Trends and Technologies

As technology advances, the future of pricing and promotions is constantly evolving. Let’s explore some emerging trends and technologies shaping the future of pricing and promotions for price-sensitive consumers.

  1. Artificial Intelligence (AI): AI is becoming increasingly important in pricing and promotions. AI algorithms can analyze vast amounts of data and identify patterns and trends in consumer behavior, allowing businesses to develop personalized promotions and discounts that appeal to price-sensitive consumers.
  2. Augmented Reality (AR): AR technology can be used to enhance the shopping experience for price-sensitive consumers. For instance, AR can be used to provide virtual try-on experiences for clothing and makeup products, allowing consumers to see how the products look before making a purchase.
  3. Subscription Services: Subscription services are becoming more popular among price-sensitive consumers. By offering a subscription service, businesses can provide consistent value to consumers while increasing revenue and encouraging repeat purchases.
  4. Dynamic Pricing: Dynamic pricing is becoming more sophisticated, with businesses using AI algorithms to adjust prices in real-time based on demand and consumer behavior. This allows brands to offer personalized pricing that appeals to price-sensitive consumers while maximizing profitability.
  5. Mobile Payments: Mobile payments are becoming more popular among price-sensitive consumers, with nearly 80% of consumers using mobile payments at least once a week. By offering mobile payment options, businesses can make purchasing more convenient and appealing to price-sensitive consumers.

As these emerging trends and technologies evolve, brands must adapt and use data analytics to stay ahead of the competition. By embracing these trends and using data to gain insights into consumer behavior, businesses can develop effective pricing and promotion strategies that appeal to price-sensitive consumers and maximize profitability.

Using Data Analytics to Optimize Pricing and Promotions for Price-Sensitive Consumers

In today’s hypercompetitive market, brands must find ways to appeal to price-sensitive consumers while maximizing profitability. Using data analytics, brands can gain insights into consumer behavior and develop effective pricing and promotion strategies that appeal to price-sensitive consumers.

Research shows that nearly 60% of shoppers are price-sensitive when making purchase decisions. This is a significant percentage of consumers that brands cannot afford to ignore.

Using data analytics to understand the behavior of price-sensitive consumers, businesses can develop pricing and promotion strategies that maximize value and appeal to their preferences. This can increase revenue, attract new customers, and retain existing ones.

From understanding the behavior of price-sensitive consumers to choosing the right pricing strategy, strategically using promotions and discounts, collecting and analyzing data, personalizing promotions and discounts, and optimizing pricing and promotion strategies continuously, businesses can use data analytics to stay ahead of the competition and appeal to price-sensitive consumers.

As technology evolves, businesses must adapt and embrace emerging trends and technologies, such as AI, AR, subscription services, dynamic pricing, and mobile payments, to continue attracting price-sensitive consumers and increasing revenue.

Data analytics is a powerful tool for businesses to optimize pricing and promotions for price-sensitive consumers. Using data analytics to understand consumer behavior and preferences, brands can develop effective pricing and promotion strategies that appeal to price-sensitive consumers while maximizing profitability. 

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If you could understand and influence human emotion, could you use this ability to increase sales and identify the most compelling advertisements, the perfect price point, or the most flawless product mix? 

While advertisers, psychologists, and salespeople have understood this connection for years, only a few have been able to use it to their advantage. Fortunately, neuromarketing is putting the ability to understand consumer behavior into the hands of many. 

In the modern business landscape, with constantly changing consumer preferences, companies must understand what drives customer behavior to stay ahead of the curve. 

“People buy on emotion and justify on logic.” Zig Ziglar 

Recent research has revealed that emotional decisions are not irrational or flawed, and our unconscious mind has its own logic. It processes millions of bits of data seamlessly without becoming overwhelmed, unlike our conscious mind, which has a bottleneck due to the limited capacity of our working memory to process only 3-4 pieces of new information at a time. 

However, the unconscious mind’s brilliance stems from its lifetime of learning from our successes and failures, and it makes decisions based on heuristics that have evolved. These decisions are often successful, leading experts to rely on their intuition or “gut feelings.”

The Iowa Gambling Task study highlights the effectiveness of the emotional brain. In this study, subjects were given a fixed budget and four decks of cards to draw from to win as much money as possible. The decks were arranged so that two offered consistent wins, while the other two had high payouts but carried significant risks. Although it took about 50 cards for people to stop drawing from the dangerous deck, it was on the 80th card that they could explain why. On the other hand, the subjects’ anxiety levels were tracked using a device that measured the electrical conductance of their skin, revealing that their hand trembled when they reached for the risky deck after drawing only ten cards. Hence, our intuition or unconscious mind quickly senses danger and makes decisions. On the contrary, logic is slow.

Marketing is all about understanding and influencing consumer behavior. For years, brands have relied on traditional market research methods to understand customers’ needs and preferences. However, with advancements in neuroscience, researchers can now use cutting-edge tools and techniques to gain deeper insights into consumer behavior. 

This blog post will explore neuroscience applications in marketing, its history, and the tools used to study consumer behavior. We will also discuss the use cases of neuroscience in marketing, the new methods in consumer neuroscience research, and the future of neuromarketing.

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What is neuromarketing?

Neuromarketing or Neuroscience marketing involves utilizing physiological and neural data to understand the drivers behind customers’ choices, inclinations, and decisions. By applying this knowledge, brands can enhance their advertising, product development, pricing, and other marketing strategies.

As a multidisciplinary field, there are many definitions of the term, but in simple terms, it is a form of decision science applying neuroscience ideas to the marketing field. 

In a nutshell, neuroscience applications in marketing refer to using neuroscience techniques and tools to understand consumer behavior and develop effective marketing strategies. 

The concept is based on the idea that a person’s behavior is driven by their brain activity and that marketers can use this knowledge to create more effective marketing campaigns.

Neuromarketing and neuroeconomics have been used interchangeably, confusing their differences. Many experts consider neuromarketing a subgenre of neuroeconomics that studies neuroscience in decision-making. But others argue that neuromarketing should be considered independent since it focuses on marketing.

History and Origins of Neuroscience for understanding consumer behaviors

The origins of neuroscience can be traced back to the early 19th century when researchers began studying the nervous system’s structure and function. Over time, the field has expanded to include studying brain activity and its impact on behavior. In the 1990s, researchers began using brain imaging techniques such as fMRI and EEG to study brain activity and its relationship to behavior. 

The term “neuromarketing” was popularized by Dutch marketing professor Ale Smidts in 2002; however, the field’s roots date back to the 1990s when rigorous research and experimentation began. Among the pioneers was US marketing professor Gerald Zaltman, who filed a patent for the Zaltman Metaphor Elicitation Technique (ZMET) four years before the term “neuromarketing” was coined. ZMET is a marketing research tool that delves into people’s conscious and subconscious thoughts using carefully curated image sets to elicit positive emotional responses and potentially influence purchasing decisions.

The use of neuroscience in marketing began in the early 2000s, with companies like Coca-Cola and Frito-Lay using fMRI to study consumers’ responses to their products.

One of the earliest recorded neuromarketing experiments occurred at Baylor College of Medicine in 2003, led by Professor of Neuroscience Read Montague. The study was an extension of a 1975 taste test challenge between Pepsi and Coca-Cola, where participants blindly tasted and selected their preferred drink. Although the results showed Pepsi as the winner, Coca-Cola continued to dominate the cola market share. Curious, Montague repeated the experiment, using fMRI scans to track participants’ brain activity this time.

The study revealed that different parts of the brain lit up depending on whether participants were aware of the brand they were consuming. Coca-Cola triggered responses from the medial prefrontal cortex associated with attention and short-term memory. When aware of the brand, participants preferred Coca-Cola over Pepsi, but when oblivious to the brand, they preferred Pepsi, as indicated by the ventral putamen, responsible for decision-making and reward perception.

Using neuroscience tools to sweeten market research

Consumer neuroscience tools are the instruments used to study brain activity and behavior. These include biometric tools like eye tracking, facial recognition software, and imaging tools like EEG and galvanic skin response. Each tool has its inherent strengths and limitations, and usage would depend largely on the study’s goals. 

Eye tracking

Eye tracking is a tool used to measure eye movements and gaze behavior. It is used to study how people process visual information and can help marketers understand which elements of their advertising or website design are most effective.

Facial recognition software

Facial recognition software analyzes facial expressions and emotions. It is used to study consumers’ emotional responses to products, advertising, and other marketing materials.

fMRI

Imaging techniques such as fMRI are used to measure brain activity. They study how the brain processes information and responds to various stimuli.

ECG

ECG is used to measure heart rate and heart rate variability. It is used to study the emotional response to marketing materials.

Electroencephalography

Electroencephalography (EEG) is a neuromarketing research method used to measure cognitive processes, such as calculations, to predict consumer behavior.

Galvanic skin response

Galvanic skin response is used to measure changes in skin conductance. 

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Tests used to understand consumer behavior

Neurolinguistic programming (NLP)

Neurolinguistic programming (NLP) focuses on the relationship between language, behavior, and the brain. It operates under the belief that language can shape thoughts and emotions and that modifying language can change thoughts and emotions. NLP is commonly used in marketing research to investigate how language and framing influence consumer behavior and decision-making. For instance, it can be used to analyze how the language used in an advertisement affects the emotional response of consumers or how presenting a product in a specific manner can impact purchasing decisions.

Implicit association tests (IATs)

Implicit association tests (IATs) are psychological assessments that measure unconscious biases and attitudes by analyzing the time it takes a person to associate a particular word or image with a specific category. In marketing research, IATs are often employed to study consumer attitudes and preferences and detect potential biases in decision-making processes. For example, IATs can be conducted to examine consumer attitudes toward various brands, products, or marketing messages.

NLP and IAT can provide valuable insights into consumer behavior and decision-making processes and can be used with other neuroscience marketing research methods. 

Uses cases and applications of Neuroscience in Marketing

Several applications of neuroscience in marketing include advertising, branding, website optimization, pricing, product development, and product experience.

For example, eye tracking can identify the most effective placement of ads on a webpage, while facial recognition software can identify the emotional response to an ad.

New Methods in Consumer Neuroscience Research

Recent advancements in technology have opened up new avenues for consumer neuroscience research. Virtual Reality (VR) can create realistic environments for studying consumer behavior, while mobile EEG devices allow researchers to study brain activity in real-world settings.

Another exciting development is using machine learning algorithms to analyze large datasets of brain activity. This approach can help identify patterns and relationships between brain activity and behavior, providing deeper insights into consumer behavior.

Limitations of neuromarketing

  • Limited Sample Size

Neuromarketing research often requires expensive equipment and specialized expertise, which limits the number of participants involved in the study. This limited sample size could lead to biased results and generalization errors.

  • Difficulty in Interpretation
    The interpretation of brain data is a complex process requiring the expertise of specialized neuroscientists. There often needs to be explicit agreement on what a particular brain activity pattern means, which can interpret neuromarketing data as challenging.
  • Lack of Real-Life Relevance
    Most neuromarketing research is conducted in laboratories and may not accurately reflect real-world scenarios. In real-life environments, consumers’ behavior is often influenced by several external factors, such as culture, social norms, and personal experiences.
  • High-Cost
    Neuromarketing research requires expensive equipment and specialized expertise, which can be cost-prohibitive for small and medium-sized businesses. As a result, only large corporations can afford to invest in such research.
  • Ethical Issues
    Neuromarketing research raises ethical concerns, such as the possibility of manipulating consumer behavior and invading their privacy. Consumers may be unaware of the research’s purpose, and their data could be misused for commercial gain.

Ethical considerations

  • Informed Consent
    Consumers should be fully informed about the research’s purpose and the data collection process. They should have the right to opt out of the study and have their data removed.
  • Privacy
    Neuromarketing research involves collecting sensitive personal information, which requires adequate data security measures to prevent data breaches and unauthorized access.
  • Transparency
    The results of neuromarketing research should be transparently communicated without manipulating the data or using it to mislead consumers.
  • Fairness
    Neuromarketing research should not be used to exploit vulnerable consumers or unfairly target specific groups.
  • Responsibility
    Brands should take responsibility for their actions and use neuromarketing research ethically without manipulating consumers or promoting harmful products.

The Future of Neuroscience in Market Research

With the advancement of technology, neuroscience in marketing is expected to become even more prevalent. Gaining deeper insights into consumer behavior can help brands create more effective marketing campaigns, improve product development and enhance the overall customer experience.

However, as detailed above, there are concerns about the ethical implications of using neuroscience in marketing. Critics argue that using these techniques can be invasive and that there are potential risks to consumer privacy.

As with any technology, using neuroscience in marketing responsibly and ethically is paramount. By doing so, brands can harness the power of neuroscience to gain deeper insights into consumer behavior while respecting consumer privacy and autonomy.

Neuroscience applications in marketing offer exciting opportunities to gain deeper insights into consumer behavior.  As technology continues to evolve, new methods in consumer neuroscience research are emerging. The future of neuroscience in marketing looks promising, offering new ways to improve the customer experience to drive business success.

Kadence International helps leading brands make game-changing decisions. If you are looking for a research partner to help better understand your customers, we would love to help. Simply fill out our Request for a Proposal here.

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Contextual targeting is quickly becoming the go-to solution for a cookieless world. 

With the evolution of technology, consumers have been exposed to various online ads, including banner and video ads. These ads have been either contextual —based on the content of a web page, or behavioral —served to a consumer based on their web-browsing behavior.

To better understand consumer preference, Harris Poll recently conducted a study investigating consumer opinions on relevant online ads and their views on using their browsing history for advertisement targeting.

The survey revealed that 65% of respondents are more likely to be tempted to purchase from an ad relevant to the page they are currently viewing, whereas only 35% expressed a preference for an ad based on their web-browsing activities from the past month.

Contextual targeting is an effective advertising technique that can improve the relevancy and success of your ad campaigns. By understanding how it works and taking the necessary steps to get started, you can create successful campaigns that reach your target audience and drive results.

What is contextual advertising?

Contextual advertising is an innovative marketing method that creates highly targeted advertising campaigns based on a person’s online content. When displaying an ad, contextual advertising considers various factors to ascertain what content is the most appropriate for users. It seeks out potential prospects by considering contexts like the material of a web page, area, or meteorological conditions.

For instance, an article about nutrition could show ads for vitamin supplements, while a travel website might feature advertisements for hotels and tour operators.

This article on the “12 Best Mississippi River Cruises for 2023-2024” shows a display ad for Norwegian cruises.

How does contextual advertising work, and how to get started?

Contextual targeting is an online advertising technique that targets specific audiences based on the context of the website or app they are using. It allows advertisers to serve ads relevant to the user’s content, improving the likelihood of a click or conversion. So, how does it work?

Contextual targeting analyzes a web page or app’s content and determines the main theme or topic. This could be done through the use of keywords or through natural language processing (NLP), which uses algorithms to understand the meaning of the text. Once the content topic is determined, advertisers can use this information to show relevant ads to users who are most likely to engage with the content.

Getting started with contextual targeting requires a few steps. First, determine your advertising goals and target audience. Then, find a contextual targeting platform that aligns with your needs. Some popular platforms include Google Ads, Facebook Ads, and AdRoll.

Once you select your platform, you can create your ad campaigns. Make sure to choose relevant keywords and topics for your ad groups, and use creative that aligns with the content on the web page or app. Testing and optimizing your campaigns is crucial to success, so regularly analyze your data and make necessary changes.

The concept of contextual advertising is quite simple. Crawlers search the web and organize pages based on their semantic context. When someone visits the page, the ad server obtains the content information, which it compares with relevant ads according to keywords and other content-based criteria. The more efficient the system is at understanding the proper context of the page, the better the ad matching will be. For example, a contextual advertisement for a hardware store could appear beside an article on home improvement.

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How is contextual advertising different from behavioral advertising?

Contextual and behavioral advertising are two different forms of online marketing often used to target audiences in unique ways. While they share similar goals of delivering relevant and engaging content to potential customers, they use distinct strategies.

Contextual advertising relies on analyzing the webpage’s content or app on which the advertisement will be displayed. The goal is to match the ad to the specific topic of the webpage in the hopes that the user will be more likely to engage with it. For example, if someone is browsing a skincare blog, a contextual ad might display an advertisement for a personal care or makeup brand.

On the other hand, behavioral advertising uses information about the user’s online behavior to deliver ads tailored to their interests and past activity. This involves tracking users’ browsing and search history to understand their interests, behaviors, and purchasing habits. This allows for highly personalized advertising, with highly relevant ads appearing on the platform based on the user’s past behaviors.

Consumers are, by and large, uncomfortable with ads that require personal information.

So contextual and behavioral advertising share similar goals but use vastly different strategies. Ultimately, the best approach will depend on the brand, audience, and desired outcome. Regardless of the method, the goal remains to deliver engaging, relevant content to potential customers.

Ways brands can use contextual advertising to drive results

The modern marketing world has presented several innovative and powerful ways for businesses to target their customers. One such method is contextual advertising, which considers multiple factors such as location data, weather conditions, and content on a page to tailor the ad experience for a given user accurately.

Weather-triggered advertising is an excellent example of how this can increase engagement and, ultimately, purchases. For instance, a cold beverage brand could use location and weather data to send targeted ads to customers on hot days, or a retailer selling rain gear could increase foot traffic with ads on rainy days.

  • Google AdSense is one of the most popular contextual advertising tools and allows businesses to target customers based on the content they’re viewing. For example, if you have a travel blog, you may receive ads from airline and tour providers.
  • In-game and in-video advertising are also great ways to use contextual ads. In-game ads often appear before the game loads and during the game, and YouTube has been incorporating in-video ads for a while now.
  • Native advertising is another type of contextual advertising that presents sponsored content in the same format as other content on the website while personalizing the ad experience based on location and other data.
  • Dynamic Creative Optimization (DCO) is a strategy that takes contextual advertising further and makes it more effective. AI platforms use consumer engagement data and other relevant signals to determine the best creative for each individual user.
  • Conversational marketing is a powerful tool that allows companies to offer customers more personalized recommendations and to provide them with more relevant messaging.
  • AI advertising considers all of these factors and can use machine learning to understand how likely a user will take a specific action, helping businesses increase engagement and drive better outcomes.

Contextual targeting uses first-party data  

Contextual targeting can use first-party data to incorporate commerce indicators into the existing contextual signals and construct product affinity scores for each URL. This allows marketers to narrow in on the most impactful pages and products. Considering the recent phasing out of third-party cookies, contextual targeting has returned to the limelight since it doesn’t rely on cookies.

In today’s digital landscape, delivering relevant advertising to audiences while respecting their privacy has become increasingly challenging. The demise of third-party cookies, a staple for tracking users across the web, has made it more difficult for advertisers to create personalized campaigns that target the right users at the right time.

That’s where contextual advertising comes in. Rather than relying on user data to deliver ads, contextual advertising uses the content of the website or app the user is currently browsing to determine which ads to display. This means the ads users see are related to the content they’re engaging with rather than just based on their browsing history.

Why is contextual advertising so crucial in a cookieless world? 

Contextual advertising allows advertisers to continue to reach their desired audiences without infringing on their privacy. It also helps to ensure users are shown ads relevant to their interests and needs rather than just what they’ve recently searched for online.

Contextual advertising also allows for greater flexibility and creativity in ad creation. With cookie-based advertising, advertisers were limited by the data available to them about users. But contextual advertising focuses on the content and the context in which the ad will be displayed. This allows for more imaginative and impactful ads that resonate deeply with users.

Contextual advertising is more important than ever in a cookieless world because it allows advertisers to continue to reach their desired audiences while respecting user privacy and encourages greater creativity and flexibility in ad creation. With contextual advertising, the future of digital advertising looks bright.

Uses of Contextual Advertising

Contextual advertising is a type of advertising that targets users based on their online behavior, such as their search history or the content they have recently viewed. This form of advertising is becoming increasingly popular and offers several advantages for businesses.

Contextual advertising is used to improve targeting. By understanding what content a user has been viewing, businesses can tailor their ads to match their interests. For example, a golf equipment retailer might target users who have recently searched for golf sets or have visited golf tutorial websites.

Contextual advertising is used to help increase ad relevance. By targeting users actively looking for specific products or services, businesses can increase the likelihood that they will click on their ads. This can lead to higher click-through rates and, ultimately, higher conversions.

Contextual advertising is also used to reduce ad waste. By targeting only those users likely to be interested in a particular product or service, businesses can save money on advertising and ensure the right people see them.

Contextual advertising offers a range of benefits for businesses looking to reach their target audience. Companies can use data to understand user behavior and interests to create targeted and relevant ads that drive conversions and help grow their bottom line.

How New Balance harnessed the power of contextual advertising

To give an excellent example of the power of contextual advertising, let’s look at the New Balance campaign. This global athletic brand launched a unique running event by projecting its ads onto a nearby billboard. Instead of relying on cookie data for personalized ads, New Balance harnessed the power of contextual advertising.

Using sophisticated algorithms, New Balance’s campaign recognized people running past the billboard, thanks to special sensors, and adapted the content to reflect their goals and interests. They encountered content tailored to their activity level, aspirations, and preferences as they continued to run.

This illustrates how contextual advertising isn’t limited by personalization based on cookies. Instead, the content is chosen in real-time, according to contextual clues, such as physical activity and digital trends. In addition, it can reach target audiences who might otherwise be unreachable by cookie-based campaigns.

Thanks to this more granular approach, marketers can zero in on their target market with precision and tailor the message more accurately to each consumer. Contextual advertising offers greater reach by allowing marketers to think beyond traditional channels, leading to better engagement with potential customers.

Beyond New Balance’s billboard example, contextual advertising uses geographical location and weather information. By tapping into these factors, marketers can modify ads for the best user experience, depending on the time of day, geographical location, and current conditions. This has the potential to provide a more immersive user experience.

Ultimately, this approach creates campaigns that not only target the right person but also create the proper context, building higher engagement and greater chances of conversions. It offers far more than a cookie-based approach ever could.

Given the impending changes to cookie use and its limitations, it’s clear that contextual advertising is the future of digital marketing. As companies come to terms with the post-cookie era, those that switch to contextual marketing early will find it easier to remain ahead of the competition.

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Advantages of contextual advertising over behavioral advertising

More in-the-moment ads lead to enhanced relevance. 

Contextual advertising enables brands to display ads highly relevant to the user’s immediate interests based on the web page or app content they are currently consuming. In contrast, personalized advertising depends on the user’s past behavior, which may not accurately reflect their current needs or preferences.

Better Engagement. 

Since contextual advertising is directly related to the content the user is (currently) viewing, it has a better chance of grabbing their attention and prompting them to act. This leads to a higher click-through rate and better conversion rates than behavioral advertising, which may seem intrusive or irrelevant to the user.

Reduced Intrusiveness. 

Contextual advertising is less intrusive as it does not depend on tracking the user’s online behavior or gathering personal data. Users may perceive behavioral advertising as intrusive, leading to privacy concerns and brand distrust.

Increased Brand Safety. 

With contextual advertising, brands can ensure their ads are displayed on content that aligns with their values and messaging, reducing the risk of association with controversial or inappropriate content. In contrast, personalized advertising may place ads in contexts that do not match the brand’s image, negatively impacting a brand’s reputation.

Better Performance and ROI. 

Contextual advertising is often more cost-effective than behavioral advertising, requiring less data collection and analysis. Brands can also achieve higher conversion rates and ROI as contextual ads are displayed to users who are already interested in related content. This leads to a better return on investment compared to behavioral advertising, which can be hit or miss depending on the accuracy of the user’s past behavior data.

Challenges in contextual advertising

Inappropriate Ad Placement.

One of the biggest challenges of contextual advertising is ensuring the ad is placed appropriately on a website. A contextual ad may contain content that could be considered inappropriate or offensive for some visitors, so it’s crucial to ensure the ad is displayed only in the right context.

Competition. 

Another challenge for contextual advertising is the competition in the online advertising space. Thousands of other ads run at any given time, and many are targeted toward the same audience, making it harder for your ad to stand out.

Lack of Targeted Audience. 

Ensuring that the right audience sees your contextual ad can be challenging. If the ad is placed on the wrong website, it will likely not reach its intended audience, which means it won’t generate the expected traffic or conversion rates.

You must keep a close eye on your contextual ads as some contexts are too broad for precise targeting, and with so many possible placements, your ad may be quickly out of sight and out of mind.

Difficulty in Tracking Results. With contextual advertising, tracking the results can be difficult as it’s challenging to know if the ad led to a specific conversion or had any impact. The metrics available for measuring success can be confusing and limited.

Ad-blocking Technology. 

Another significant challenge of contextual advertising is ad-blocking technology, which blocks contextual ads on websites. This makes it harder to reach your intended audience and decreases the likelihood of the ad being clicked or generating a conversion. As more people adopt ad-blocking software, contextual advertisers must find creative ways to ensure their ads still reach their target audience.

As marketers have observed, while people prefer ads that are personalized and tailored to their interests, they remain apprehensive about revealing their Personally Identifiable Information (PII) to brands. 

This trepidation is corroborated by many recent studies, revealing that many consumers find it creepy when brands collect their data and browsing habits to deliver targeted ads.

So, what is the best way for brands to produce personalized ads without causing consumers to feel uncomfortable? 

Using contextual ads is one way, as many studies imply consumers find contextual ads more appealing than behavioral ads, as they do not collect any of the user’s personal details. With many tech giants like Apple and Google discontinuing support for third-party cookies, we are seeing a gradual fading out of third-party identifiers, leaving brands to depend on first-and-zero-party data gathered directly from customers. 

Such data, when properly collected, gives brands an advantage in serving their customers with more pertinent ads.

Another critical aspect is building trust. Transparency regarding data collection and the brand’s intentions with that data is paramount to building and retaining consumer trust. 

In a cookie-less world, the significance of contextual advertising cannot be emphasized enough. It is no longer sufficient to rely on user data, especially since there is an increasing demand for privacy and a decline in the use of cookies. Contextual advertising provides targeted and relevant ads and allows brands to maintain their ad campaigns in a way that respects users’ privacy. With the right approach, contextual advertising can improve the user experience, drive conversions and ROI, and boost overall business growth. 

The cookie may be crumbled, but the potential of contextual advertising is limitless. As we navigate the evolving digital landscape, embracing the power of context and its place in advertising will become increasingly important.

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Imagine this: it’s the year 2033, and you’re a market researcher tasked with analyzing a massive dataset of consumer responses to a new product launch. 

In the past, this would have taken you weeks, if not months, of manually sorting through surveys, analyzing focus group transcripts, and summarizing the findings. But now, with the help of Large Language Models (LLMs), the task is completed in a matter of days. 

You simply upload the dataset to your computer, and within minutes, the LLM has sorted through and prioritized the responses, highlighting key themes and sentiment analyses that give you a comprehensive understanding of what consumers think about the product.

This hypothetical scenario may seem far-fetched, but with the rapid advancement of LLM technology in recent years, it’s closer than you might think. Large Language Models have the potential to revolutionize the market research industry, transforming the way we analyze and interpret data and making our jobs easier and more efficient.

But what exactly are Large Language Models, and how do they work? This article will explore the world of LLMs and their impact on market research. We’ll delve into their potential uses in market research, including summarizing responses, automating reporting, and identifying themes and sentiments. We’ll also discuss the potential risks of using LLMs in market research. 

What are Large Language Models?

Before we dive into how Large Language Models (LLMs) are changing market research, let’s take a step back and explore what LLMs are and how they work.

At their core, LLMs are algorithms designed to predict the next word or phrase in a sequence based on the relationships between words in a large dataset. To accomplish this, LLMs use a technique called unsupervised learning, where the algorithm is given a large amount of data and left to find patterns and relationships on its own.

One of the most well-known examples of LLMs is ChatGPT (Generative Pre-trained Transformer), developed by OpenAI. ChatGPT is one of the largest LLMs, with 175 billion parameters, allowing it to perform various tasks with impressive accuracy.

So how does an LLM work in practice? Let’s take a simple example: predicting the next word in the sentence “The cat sat on the ____”. An LLM trained on a large dataset would be able to predict that the most likely word to complete the sentence is “mat”, followed by “chair”, “table”, and so on.

The power of LLMs comes from their ability to learn statistical relationships between words through their co-occurrences in large datasets. An LLM can identify patterns and correlations between words and phrases that a human researcher might miss by analyzing massive amounts of text data.

But it’s important to note that LLMs are not sentient beings and do not wholly understand language. Instead, they rely on statistical associations and correlations to make predictions, sometimes leading to errors or misunderstandings.

Despite these limitations, the potential applications of LLMs in market research are vast and varied. In the next section, we’ll explore some of the ways LLMs are changing the field of market research.

The Potential of Large Language Models in Market Research

Large Language Models have the potential to revolutionize the way market research is conducted. They can speed up processes, enhance accuracy, and identify trends that human researchers might miss. 

Here are some of the potential applications of LLMs in market research:

  1. Summarization: Market research generates vast amounts of data through surveys, qualitative interviews, and focus groups. LLMs can quickly summarize, order, and prioritize responses, allowing researchers to create a narrative for clients more efficiently.
  2. Automated reporting: Market research also produces large volumes of quantitative data that need sorting, summarizing, and presenting. LLMs can quickly organize and create draft headlines based on charts, tables, models, and executive summaries.
  3. Topic/theme identification: LLMs can analyze different attitudinal datasets or open APIs to digital platforms, identify themes, and assess sentiment, affinity, and brand perceptions, providing researchers with insights to refine their research.
  4. Prediction: LLMs can extract embeddings (mathematical representations) that other machine learning models can use to predict outcomes of interest. For instance, they can predict the performance of a TV ad based on the dialogue or relate people’s qualitative experience interacting with a service representative to their brand loyalty or churn.
  5. Intelligent interviewing: Conversational AI can be used to automate and standardize the process of designing quant questionnaires. Additionally, conversational AI will come on in leaps and bounds, responding to previous answers and routing questions accordingly.
  6. Text data cleaning: Cleaning text data is crucial to the operational process. LLMs can check for gibberish and spelling errors much better than autocorrect ever did.
  7. Creative Writing: LLMs can be used to create discussion guides, initial drafts of presentations, marketing copy, and concept statements.
  8. Conversational search queries: With LLMs, an intelligent agent can sit on top of data platforms, analyzing potentially massive databases and fetching results back in natural language.
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These are just a few examples of how LLMs are changing market research. LLMs offer a level of efficiency, accuracy, and scalability unparalleled by traditional market research methods. However, there are risks associated with using LLMs, which we will explore in the next section.

Risks Associated with Large Language Models

While Large Language Models offer immense potential to the market research industry, there are risks associated with their use. Here are some of the risks that researchers and organizations should be aware of:

  1. Hallucinations and false predictions: LLMs may make incorrect predictions, particularly when they encounter novel or ambiguous data. Sometimes, they may even make things up or ‘hallucinate,’ leading to false predictions.
  2. Bias reinforcement: LLMs learn from the data they are trained on. If the training data contains biases, the LLM may reinforce them in its predictions.
  3. Ethical issues: LLMs can raise ethical issues concerning privacy, consent, and intellectual property. For instance, using data scraped from social media platforms without users’ consent may raise ethical concerns.
  4. Limited understanding: LLMs are limited in understanding language and interpreting data. They rely on statistical associations and correlations to make predictions, and there are limitations to how much they can understand and learn.
  5. Legal issues: There may be legal issues related to the use of LLMs, particularly regarding intellectual property and privacy laws.
  6. Lack of transparency: LLMs are often black boxes, meaning it is difficult to understand how they arrive at their predictions. This lack of transparency can be problematic, particularly when the predictions have significant implications.
  7. Dependence on data quality: LLMs require high-quality data to perform effectively. If the data used to train an LLM is of low quality, the predictions made by the model may be inaccurate.

Large Language Models offer immense potential to the market research industry, allowing researchers to process vast amounts of data more efficiently and accurately than ever. However, researchers and organizations must be aware of the risks associated with their use and take steps to mitigate them. 

LLMs are not a magic solution that can replace human researchers entirely, but they can significantly enhance the work that researchers do. The key is to approach LLMs with caution, ensuring that they are used ethically and responsibly to realize their full potential.

Best Practices for Using Large Language Models in Market Research

To ensure that Large Language Models are used ethically and responsibly in market research, following some best practices is essential. Here are some guidelines for using LLMs in market research:

  1. Understand the limitations: It’s crucial to understand the limitations of LLMs and to avoid overestimating their capabilities. LLMs are not sentient beings and cannot replace human researchers entirely.
  2. Use high-quality data: LLMs require high-quality data to perform effectively. Researchers should ensure that the data used to train an LLM is representative, unbiased, and of high quality.
  3. Address potential biases: LLMs may learn from biased data and reinforce those biases in their predictions. Researchers should be aware of this risk and take steps to address potential biases in the data.
  4. Ensure transparency: LLMs are often black boxes, making understanding how they arrive at their predictions difficult. Researchers should ensure that the LLMs used in their research are transparent and that the methods used to arrive at predictions are clearly documented.
  5. Ethical considerations: Researchers should be aware of ethical considerations related to privacy, consent, and intellectual property when using LLMs in market research. It’s essential to obtain participants’ consent and ensure that data is used ethically.
  6. Verify predictions: It’s crucial to verify the predictions made by LLMs to ensure their accuracy. Researchers should take a critical approach to LLM predictions and verify them through human review.
  7. Partner with experts: LLMs are complex and require expertise to use effectively. Researchers should partner with experts in the field to ensure that LLMs are used correctly and ethically.

By following these best practices, researchers can use LLMs effectively in market research and ensure they are used ethically and responsibly. LLMs offer immense potential to the market research industry, and by using them responsibly, we can unlock their full potential while avoiding potential risks.

The Future of Large Language Models in Market Research

As we have seen, Large Language Models offer immense potential to the market research industry. With their ability to process vast amounts of data more efficiently and accurately than ever, LLMs can revolutionize market research. However, their use must be approached with caution, and researchers must take steps to mitigate potential risks.

The future of Large Language Models in market research is exciting. With advances in technology and data quality, LLMs will become more sophisticated and effective, enabling researchers to gain insights into consumer behavior and preferences that were previously impossible to obtain. As LLMs evolve, we can expect them to play an increasingly critical role in the market research industry.

However, it’s important to remember that LLMs are not a replacement for human researchers. While they can significantly enhance researchers’ work, they cannot replace human insight and intuition. LLMs should be used with human researchers, and their predictions should always be verified through human review.

Large Language Models are changing the face of market research, offering new and exciting possibilities for the industry. While risks are associated with their use, they can be mitigated through responsible and ethical use. By following best practices and partnering with experts in the field, market researchers can harness the full potential of Large Language Models to gain insights into consumer behavior and preferences that were previously impossible to obtain. The future of market research is bright, and Large Language Models will undoubtedly play a critical role in shaping it.

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The Ethical Considerations of Large Language Models

While the potential of Large Language Models is vast, ethical considerations must be taken into account. One of the most significant concerns is the potential for bias in the data used to train Large Language Models.

Large Language Models are trained on massive datasets that include vast amounts of text from a wide range of sources. However, these datasets can consist of biases and stereotypes in the data. For example, suppose a dataset includes a disproportionate amount of text from male authors. In that case, the Large Language Model may learn to associate certain words or concepts with men more than women.

This can have significant implications for the accuracy and fairness of the predictions made by Large Language Models. For example, if a Large Language Model is used to make hiring recommendations, it may unintentionally perpetuate gender or racial biases in the data used to train it.

Another concern is the potential for Large Language Models to generate misleading or harmful content. Large Language Models can generate fake news, propaganda, or hate speech, which can have significant real-world consequences.

To address these concerns, businesses and researchers must take steps to mitigate the risks associated with Large Language Models. This includes using diverse and representative datasets to train models, ensuring transparency in the use of Large Language Models, and actively monitoring and addressing potential biases in the predictions made by the models.

While Large Language Models offer immense potential to businesses and researchers, their use must be approached with caution and responsibility. By addressing the ethical considerations associated with Large Language Models, we can ensure that they are used to benefit society as a whole.

Final thoughts

Large Language Models are changing how we interact with technology, opening up new possibilities for businesses and researchers alike. From market research and customer service to content creation and data analysis, Large Language Models have the potential to revolutionize the way we operate in almost every industry.

However, as with any new technology, there are ethical considerations that must be taken into account. Ensuring the accuracy and fairness of Large Language Models is critical, particularly regarding decision-making processes that can have significant real-world consequences.

Moving forward, brands and researchers must approach the use of Large Language Models with caution and responsibility, taking steps to address the ethical considerations associated with this technology. By doing so, we can ensure that Large Language Models are used to benefit society as a whole rather than perpetuating biases and perpetuating harm.

Overall, the potential of Large Language Models is enormous, and we’re just beginning to scratch the surface of what this technology can do. The future of business and research is bright, and with Large Language Models leading the way, we’re sure to see some exciting developments in the years to come.

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The world is constantly changing, and the way we travel is no exception. From horse-drawn carriages to supersonic jets, the transportation industry has seen incredible innovation and evolution over the years. And with the rise of new technologies, emerging travel trends, and a growing focus on sustainability, the future of travel looks brighter and more exciting than ever.

As a marketer or researcher in the travel industry, staying on top of these trends and changes is essential. After all, understanding the evolution of travel can help you anticipate future developments and identify new market opportunities.

So, let’s take a journey through the evolution of travel, from the early days of transportation to the latest innovations and trends. Along the way, we’ll explore the impact of technology, changing consumer preferences, and environmental concerns and what they mean for the future of travel. Whether you’re a travel industry professional or simply a curious traveler, get ready to discover this dynamic industry’s fascinating history and promising future.

Historical Context.

To truly understand the evolution of travel, it’s important to look back at its rich history. From ancient civilizations to modern times, humans have always wanted to explore new lands and experience new cultures.

Early forms of transportation, such as walking, horseback riding, and sailing, were limited by speed and distance. However, with the advent of the Industrial Revolution in the 18th century, transportation underwent a major transformation. The steam engine was invented, revolutionizing travel by enabling faster and more efficient transportation by trains and ships.

The 20th century brought even greater innovations in travel. The invention of the automobile, the Wright brothers’ first flight, and the launch of the first commercial airline all marked significant milestones in the history of travel.

The rise of the automobile led to the growth of road networks and the construction of highways, which made travel more accessible to the masses. With the launch of commercial airlines, air travel became faster and more convenient than ever before, opening up a whole new world of international travel.

However, these new forms of transportation also had their downsides. Increased use of fossil fuels led to rising levels of pollution and greenhouse gas emissions, and air travel, in particular, has been criticized for its environmental impact.

Despite these challenges, the travel industry continued to evolve throughout the 20th century and into the present day. In the next section, we’ll take a closer look at the current state of travel and some of the trends and changes shaping its future.

Current State of Travel.

In recent years, the travel industry has undergone significant changes driven by various factors, such as technological advancements, changing consumer preferences, and the impact of the COVID-19 pandemic.

One of the most significant changes in the travel industry has been the rise of online booking platforms and the democratization of travel. Online booking sites like Expedia, Booking.com, and Airbnb have made it easier than ever for people to research and book travel options from the comfort of their own homes.

Another major trend in the travel industry has been the rise of experiential travel. Rather than simply visiting tourist attractions, more and more travelers are seeking out immersive experiences that allow them to truly connect with local cultures and communities.

Sustainability has also become an increasingly important concern in the travel industry. Many travelers seek eco-friendly and socially responsible travel options, and many travel companies are responding by promoting sustainable tourism practices.

However, the COVID-19 pandemic has significantly impacted the travel industry. International travel has been severely restricted in many parts of the world, and there has been a shift towards domestic travel and road trips. Additionally, health and safety concerns have become a top priority for travelers, with many opting for travel insurance and flexible booking options.

Despite these challenges, the travel industry remains resilient and adaptable, poised for continued growth in the coming years. In the next section, we’ll explore some of the emerging technologies and trends shaping the future of travel.

Emerging Technologies.

The travel industry is no stranger to technological innovation, and the coming years promise even more exciting developments that could revolutionize how we travel.

One of the most promising areas of innovation is electric vehicles (EVs). Electric cars have become increasingly popular due to their environmental benefits and low operating costs. As battery technology improves, electric cars are becoming more practical for long-distance travel, which could have significant implications for the travel industry.

Another emerging technology with the potential to transform travel is self-driving vehicles. Self-driving cars and buses could make transportation more efficient and reduce congestion on roads while offering passengers a more relaxing and enjoyable travel experience.

In the aviation industry, supersonic air travel could soon become a reality. Several companies are developing supersonic planes that could travel at speeds of up to Mach 2.2, cutting travel times in half for long-haul flights.

Virtual and augmented reality technology could also play a significant role in the future of travel. VR and AR experiences could allow travelers to explore destinations and attractions from their homes or enhance their in-person travel experiences with immersive digital content.

Finally, blockchain technology is another emerging trend that could significantly impact the travel industry. Blockchain can help improve travel safety and security, streamline booking and payment processes, and reduce the risk of fraud.

Overall, the future of travel is looking brighter and more exciting than ever, thanks to these emerging technologies and trends. The travel industry is constantly evolving, and marketers and researchers must stay on top of these developments to identify new opportunities and stay ahead of the curve.

Environmental Impact.

While the travel industry offers endless opportunities for exploration and adventure, it also has a significant environmental impact. From carbon emissions to waste generation, travel can negatively affect the planet.

As travelers become more aware of these issues, there has been a growing interest in sustainable travel options. Many travelers seek out eco-friendly hotels, travel by train instead of a plane, and participate in voluntourism programs that allow them to give back to local communities.

The travel industry is also taking steps to reduce its environmental impact. For example, airlines are investing in more fuel-efficient planes and implementing recycling programs, while hotels are adopting energy-efficient lighting and water-saving initiatives.

One promising development in the travel industry is the growth of sustainable tourism. This involves travel that is both environmentally and socially responsible, taking into account the impact on local communities and ecosystems.

In addition, many governments and organizations are taking action to promote sustainable travel practices. The United Nations has designated 2017-2027 as the Decade of Sustainable Tourism, focusing on promoting responsible tourism practices and sustainable economic growth.

Ultimately, the travel industry is responsible for minimizing its environmental impact and promoting sustainable practices. By embracing sustainability and promoting eco-friendly travel options, the industry can continue growing while preserving the planet for future generations.

Market Opportunities.

The evolution of travel has created numerous market opportunities for businesses in the travel industry. As consumer preferences and technological advancements evolve, new business models and revenue streams emerge.

One significant market opportunity is the rise of experiential travel. Rather than simply booking a hotel and visiting tourist attractions, many travelers seek unique and immersive experiences that allow them to connect with local cultures and communities. This trend has created opportunities for businesses that offer authentic and personalized travel experiences, such as local tour operators and vacation rental companies.

Another market opportunity is the growth of sustainable tourism. As travelers become more environmentally and socially conscious, there is increasing demand for eco-friendly and socially responsible travel options. This has created opportunities for businesses that prioritize sustainability, such as hotels and tour operators that offer environmentally-friendly practices and support local communities.

The rise of technology has also created new market opportunities in the travel industry. Online booking platforms, mobile apps, and other digital tools have made it easier than ever for travelers to research and book travel options. This has created opportunities for businesses offering innovative and user-friendly digital platforms, such as travel booking sites and apps.

Finally, the COVID-19 pandemic has created new market opportunities in the travel industry. As more people work remotely, there is a growing demand for extended-stay travel options such as vacation rentals, co-living spaces, and work-from-anywhere packages. Additionally, businesses prioritizing health and safety measures, such as contactless check-in and cleaning protocols, have a competitive advantage in the current climate.

Case Study: TUI Group – Embracing Sustainability and the Modern Traveler.

TUI Group is a leading travel and tourism company offering a range of products and services to travelers worldwide. With a history that dates back to the 19th century, TUI Group has evolved and adapted to changing consumer preferences and market trends. In recent years, TUI Group has made sustainability a core value and developed a sustainability strategy that aligns with the changing expectations of modern travelers.

TUI Group’s sustainability strategy is based on three pillars: reducing carbon emissions, promoting sustainable tourism practices, and supporting local communities. By prioritizing sustainability, TUI Group aims to differentiate itself from competitors and appeal to environmentally-conscious travelers.

One key aspect of TUI Group’s sustainability strategy is its focus on reducing carbon emissions. TUI Group has set ambitious targets for reducing carbon emissions, including a goal of becoming carbon-neutral by 2050. To achieve this goal, TUI Group is investing in more fuel-efficient aircraft, reducing plastic waste generated by its operations, and promoting sustainable transportation options for travelers.

In addition to reducing carbon emissions, TUI Group is also focused on promoting sustainable tourism practices. This includes offering sustainable tourism experiences, such as eco-tourism and wildlife tours, and partnering with local organizations to promote sustainable tourism in destinations around the world.

Another vital aspect of TUI Group’s sustainability strategy is its commitment to supporting local communities. TUI Group works with local organizations to promote economic development and sustainable tourism in destinations around the world. This includes supporting local businesses, promoting cultural exchange, and investing in community development projects.

By prioritizing sustainability, TUI Group is capitalizing on a growing trend among modern travelers who are increasingly interested in eco-tourism and sustainable travel practices. According to a 2019 survey by Booking.com, 70% of global travelers said they would be more likely to book environmentally friendly accommodations.

In addition to its sustainability efforts, TUI Group has also embraced other emerging trends and preferences of modern travelers. For example, TUI Group has invested in digital technologies to improve the customer experience and offer personalized recommendations for travelers. TUI Group’s digital platforms allow travelers to book trips, customize itineraries, and access travel information from their mobile devices.

Overall, TUI Group’s sustainability strategy and focus on emerging trends and preferences of modern travelers have helped the company differentiate itself from competitors and build a loyal customer base. By continuing to innovate and adapt to changing market trends, TUI Group is well-positioned to succeed in the rapidly-evolving travel industry.

Social Media and the Future of Travel Marketing.

Social media has revolutionized how people plan, book, and share travel experiences. Platforms like Instagram, Facebook, and Twitter have made it easier than ever for travelers to research destinations, find inspiration, and share their experiences with others.

For brands in the travel industry, social media offers a powerful tool for connecting with travelers and promoting their products and services. By leveraging social media platforms effectively, businesses can build brand awareness, engage with customers, and drive bookings.

One of the key advantages of social media for travel businesses is the ability to showcase their products and services in a visually compelling way. Platforms like Instagram are particularly well-suited for travel marketing, as they allow travel brands to share beautiful images and videos that inspire travelers and highlight their unique selling points.

In addition to promoting products and services, social media can also be used to provide customer service and support. Travelers can use social media to ask questions, make bookings, and get assistance with any issues during their trip.

Another important use of social media in the travel industry is influencer marketing. By partnering with social media influencers with large followings in the travel space, brands can tap into new audiences and build credibility with potential customers.

However, businesses need to use social media strategically and thoughtfully. They should identify their target audience, develop a clear brand voice, and create content that resonates with their customers. Additionally, they should monitor social media channels regularly and respond to customer feedback promptly and effectively.

Social media offers travel businesses tremendous opportunities to connect with customers, build brand awareness, and drive bookings. By embracing social media and using it effectively, businesses can stay competitive in the rapidly-evolving travel industry.

The AI Revolution in Travel: Chatbots, Predictive Analytics, and Personalized Recommendations.

Artificial intelligence (AI) is revolutionizing the travel industry, offering new ways for businesses to personalize the travel experience and streamline operations.

One of the most visible uses of AI in the travel industry is chatbots. These automated messaging platforms can handle various customer service inquiries, from booking reservations to answering questions about travel policies. By leveraging chatbots, travel businesses can improve the customer experience, reduce wait times, and free up staff to focus on other tasks.

Another important use of AI in the travel industry is predictive analytics. AI algorithms can identify patterns and predict future travel trends by analyzing vast amounts of data. This can help businesses make more informed pricing, marketing, and inventory management decisions.

Personalized recommendations are another key area of AI in the travel industry. AI algorithms can provide personalized recommendations for destinations, activities, and accommodations by analyzing data about a customer’s travel history and preferences. This can help businesses improve the customer experience, increase customer loyalty, and drive more bookings.

Additionally, AI can be used to improve travel safety and security. For example, AI algorithms can analyze passenger data to identify potential security threats and flag them for further screening.

While AI offers many opportunities in the travel industry, using it responsibly and transparently is important. Customers may be wary of AI if they feel their privacy is compromised or don’t understand how the technology is used.

Adventure Tourism: A Growing Market for Travel Businesses.

Adventure tourism has emerged as a significant market segment in the travel industry, with more and more travelers seeking unique and exciting experiences that allow them to connect with nature and push their limits.

From trekking in the Himalayas to kayaking in Patagonia, adventure tourism offers travelers the chance to explore some of the world’s most beautiful and remote destinations while engaging in physically and mentally challenging activities.

For travel brands, adventure tourism represents a significant growth opportunity. By offering unique and immersive adventure experiences, businesses can differentiate themselves from competitors and attract travelers willing to pay a premium for these types of experiences.

To cater to the adventure tourism market, businesses must first identify their target audience and develop products and services that meet their needs. This may involve partnering with local adventure tour operators, offering customized itineraries, and providing specialized equipment and training.

In addition, businesses must prioritize safety and risk management in adventure tourism. This may involve hiring experienced guides and instructors, providing appropriate safety equipment, and developing emergency response plans.

Finally, businesses must also consider the environmental impact of adventure tourism and take steps to minimize their footprint. This may involve promoting sustainable travel practices, supporting local conservation efforts, and minimizing waste and pollution.

Changing Demographics and the Future of Travel.

As the world’s population ages and becomes more diverse, the travel industry faces new challenges and opportunities. Two key demographic trends that significantly impact the sector are the rise of solo travel and the growth of senior travelers.

Solo travel has become a significant trend recently, particularly among younger generations. Many solo travelers seek new experiences and opportunities for personal growth and are willing to take on the challenges and risks of traveling alone.

For travel brands, this trend presents both opportunities and challenges. On the one hand, solo travelers may be more likely to book high-end experiences and luxury accommodations since they are not sharing the costs with other travelers. On the other hand, brands must be prepared to address solo travelers’ unique needs and concerns, such as safety and security.

The growth of senior travelers is another significant demographic trend in the travel industry. As the baby boomer generation reaches retirement age, they increasingly seek new travel experiences and destinations. 

Many senior travelers seek opportunities to explore new cultures, reconnect with family and friends, and pursue lifelong passions.

For travel brands, the growth of senior travelers presents significant opportunities to develop specialized products and services that cater to this market. For example, brands may offer senior-friendly accommodations, specialized tours and excursions, and other travel options tailored to senior travelers’ unique needs and preferences.

Leveraging Market Research to Build Successful Travel Brands.

Market research is essential for travel brands that want to stay competitive in the rapidly-evolving travel industry. By gathering and analyzing data about customer preferences, behavior, and attitudes, travel brands can develop more effective marketing strategies, optimize their products and services, and build stronger customer relationships.

One key area where market research can be particularly valuable is in identifying emerging travel trends and consumer preferences. By staying on top of industry trends and understanding what motivates travelers to make their travel decisions, travel brands can develop more effective marketing campaigns and offer products and services that better meet customer needs.

Market research can also help travel brands optimize pricing and revenue management strategies. Travel brands can adjust their pricing strategies by analyzing customer behavior and demand patterns to maximize revenue and profitability.

Another area where market research can be valuable is in developing more effective customer engagement strategies. By gathering customer feedback and analyzing their preferences and behavior, travel brands can develop more personalized and effective marketing campaigns and improve their customer service and support.

Finally, market research can help travel brands improve their products and services by identifying areas for improvement and uncovering unmet customer needs. By gathering customer feedback about their travel experiences, travel brands can identify areas where they can improve and new opportunities to innovate and differentiate themselves from competitors.

Future Outlook.

As the travel industry continues to evolve, many exciting developments on the horizon could transform the way we travel.

One promising area of innovation is the development of sustainable transportation options. Electric cars, self-driving vehicles, and high-speed rail can reduce carbon emissions and promote sustainable travel.

Another potential trend is the growth of personalized travel. As technology advances, it may become possible to offer highly personalized travel experiences based on individual preferences and interests. This could include customized itineraries, tailored recommendations, and unique travel experiences that are tailored to each traveler.

The growth of the sharing economy is also expected to significantly impact the future of travel. Platforms like Airbnb, Uber, and Lyft have already disrupted the traditional travel industry, and as these platforms continue to evolve, they could offer even more innovative and convenient travel options.

Finally, the COVID-19 pandemic will likely have a lasting impact on the travel industry. While the pandemic has created significant challenges, it has also spurred innovation and forced businesses to adapt to changing circumstances. As travel resumes in the post-pandemic world, it will be interesting to see how these changes continue to shape the travel industry.

Overall, the future of travel looks brighter and more exciting than ever. By embracing emerging technologies, promoting sustainability, and responding to changing consumer preferences, the travel industry is poised for continued growth and innovation in the years to come.

Want to learn more about the latest travel and tourism trends? Download our report Navigating emerging trends in global travel and tourism here.

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Once commonly perceived as twenty-somethings backpacking from one hostel to another, looking for a spot to plug in their laptops, the meaning of digital nomads today is not quite the same as it used to be. 

Due to the rise of flexible work arrangements, a new breed of digital nomads has emerged, one that merges work, play, and purpose. Dubbed “anywhere workers” in a recent Lonely Planet survey, most work in high-tech fields, with 61% working full-time. 

The work-from-home to the work-from-anywhere trend has fueled the growth of bleisure travel —one that combines business with leisure, and it’s here to stay. 

Let’s look at how a leading vacation rental brand profits from the rise of bleisure travel in an interesting case study. 

Long-Term Stays Surging on Airbnb as Remote Work Continues to Drive Travel Trends.

Airbnb, Inc. is an online marketplace founded in 2008 by Brian Chesky, Nathan Blecharczyk, and Joe Gebbia, with headquarters in San Francisco. The company facilitates short-term homestays and experiences by acting as a broker and charging a commission for each booking made through its platform.

This trend can potentially impact the office property and hotel markets as remote workers prioritize more flexible accommodation options.

The company used the WFA trend to pull itself out of the pre-pandemic slump. 

How Airbnb capitalized on this travel trend both internally and externally.

Airbnb reported over 100 million bookings during the first quarter of 2022, a record that underscores a rebound made possible thanks to various cost-cutting measures and the tech giant’s focus on capturing business from remote workers.

Airbnb conveyed to its 6,000-person workforce, half of whom are based in the United States, that they would not be required to return to an office if they choose not to. Instead, the company’s “Work From Anywhere” policy enables employees to move anywhere within their home country without affecting their compensation. Under the policy, workers are expected to attend in-person meetings once per quarter for a week. Additionally, starting in September, employees can live and work anywhere worldwide for up to 90 days each year.

According to CEO Brian Chesky, the company has successfully managed to navigate through the pandemic, rebuilt the company, went public, upgraded its services, and achieved record earnings, all while working remotely. 

Airbnb launched its “Live and work anywhere on Airbnb” initiative to lure remote workers.

  • Airbnb launched remote working hubs in 2022 across various countries.
  • The remote working hubs provide Airbnb another way to tap into entrepreneurs as guests.
  • Airbnb is forming more partnerships with local and national governments to launch remote working hubs and other initiatives to drive tourists to remote destinations, like The Bali remote working hub in partnership with the Ministry of Tourism and Creative Economy of the Republic of Indonesia.  

Airbnb aims to expand its offerings to capture more short-term and long-term stay bookings, presenting a valuable new use case for the platform beyond traditional travel.

Our Insights on Airbnb’s “Live and Work Anywhere” Initiative in 2023.

Remote work, whether occasional or long-term digital nomadism, has become a permanent part of the post-pandemic work culture. This shift allows Airbnb to attract more short-term and long-term stay bookings.

In 2023, Airbnb aims to expand its offerings to capture these stays, as they present a valuable new application for the platform beyond conventional travel. 

This expansion also allows AirBnB to demonstrate an increase in its total addressable market (TAM) beyond short-stays and tourists.

The Results

The surge in remote work has driven a significant increase in long-term stays of 28 days or more, which have become the fastest-growing category on Airbnb compared to 2019. 

  • Over 100 million bookings
  • 70% year-over-year increase
  • $1.5 billion Revenue
  • More than doubled – Extended stays
  • 20% of gross nights booked- Extended stays

Want to learn more about the latest travel and tourism trends? Download our report Navigating emerging trends in global travel and tourism here.

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