Kadence International has recently become aware of fraudulent activity involving the unauthorized use of its name and branding by individuals or groups posing as representatives of the company. These fraudsters are circulating misleading messages through WhatsApp and other platforms, falsely offering remote job opportunities in exchange for money or personal details.
We categorically state that Kadence International is in no way affiliated with these scams. We do not solicit money from individuals in exchange for employment opportunities, nor do we recruit via WhatsApp group chats or similar informal channels. Any such claims are false and malicious.
These phishing schemes have the potential to cause serious financial loss, identity theft, and emotional distress. Scammers may request payments, virtual currency, or banking details, and they often operate via unofficial channels using fake websites and impersonated profiles.
Kadence International is cooperating with the relevant authorities and urges anyone who has received such messages to report the incident through official fraud reporting systems.
What to Look Out For
Job offers requiring payment upfront
Recruitment via WhatsApp or Telegram groups
Requests for personal or banking details
Suspicious email addresses or websites mimicking Kadence branding
We take these matters very seriously. Kadence International is:
Investigating reports received from the public
Cooperating with cybersecurity authorities
Taking steps to remove impersonating content from online platforms
We urge the public to remain vigilant. If you have received a suspicious message claiming to be from Kadence International, do not engage. Instead, report it to the relevant authorities and, where possible, forward any evidence (screenshots, email headers, phone numbers, etc.) to assist in further investigations.
For inquiries or to report suspicious use of our name, please contact [email protected].
Contact: Karl Wagner
Global Head of Data Management, Kadence International [email protected]
Amy Lo explores her personal experiences growing up across two vastly different continents and how these have shaped her insight career.
When I was 12 my Dad announced I was to leave my home in Taiwan to attend boarding school in England. The resulting 10 years were to shape me in a way neither he, nor I could ever have imagined.
Growing up across two continents that are so vastly different in terms of culture, climate and consumption meant living in a state of perpetual adaptation, seeking ways to adjust to the environment around me, both at school and then back at home during school holidays.
I think this constant need to adapt to my surroundings is the reason I first started to closely observe the people around me, their behavior, their motivations, the things that made them similar and the things that made them different.
Skip to the present and as it turns out my fascination with people, their stories, backgrounds and culture has influenced me in my choice of career. As a qualitative market researcher it is my job to investigate the beliefs, perceptions and essential truths behind people’s behavior – and establish patterns amongst them.
I love this career for the opportunity it gives me to gain insight into our respondent’s lives and, of course to deliver Insight Worth Sharing to my clients.
There is also a lot of variety; during my first role as a Graduate Insight Executive in Taiwan I spent time with a wide variety of respondents from tech-savvy consumers aiming to optimise a mobile-friendly home page for Yahoo to new mums sharing all about their nappy usage. One weekend we would be speaking to HNWIs about luxury holidays and the following weekend, accompanying Chinese teenagers on their hunt for the perfect pair of jeans!
During a recent project in my current role at Kadence International in London I found myself face to face with my two ‘home’ nations. The study, for a luxury technology brand, involved investigating some of London and Shanghai’s wealthiest individuals and uncovered some vast and fascinating differences in priorities, preferences and behaviours of the Chinese elite against their UK counterparts.
This study motivated me to understand more about today’s Asian consumer. How can brands adapt their approach to suit this vast and lucrative market? And, how can we as researchers select the best methodologies in order to gather the richest, most valuable insights?
Growing up across two continents that are so vastly different in terms of culture, climate and consumption meant living in a state of perpetual adaptation. I love this career for the opportunity it gives me to gain insight into our respondent’s lives and, of course to deliver Insight Worth Sharing to my clients. With over 700 million Internet users and a little shy of 600 million smartphone users in China (as of 2016), the future of online qual is extremely exciting.
In true millennial style, I started my investigations through my own social network. My friends from Asia were always posting in feeds, reviewing the latest products they have tried. I observed a willingness to share allegiances to particular brands, which doesn’t represent brand loyalty per se, simply that they are not afraid to share their opinions. Many of my female friends have their own blogs, discussing their views on the latest trends in clothes and make up and my feed is regularly inundated with ‘outfit of the day’ posts with links that take you to web shops where you can make a quick purchase from the endorsed brand or seller.
Surprisingly for China, a country where censorship is widespread, opinions and voices on the Internet are loud and plentiful. Unlike Western countries, there is little trust in traditional media sources such as TV, press or radio. Instead, word of mouth is an increasingly powerful tool, as people use social media platforms to personally share information and opinions with friends and family.
This trend has been identified by brands in China, who have made it their priority to create intelligent, comprehensive digital campaigns to facilitate the spread of their products or services. This is also why brands are carefully monitoring their e-reputation. Product reviews on the web have a growing influence on people’s decision making. Brands understand the need to nurture advocates within each and every social circle to build credibility and customer proximity.
Back to my professional experience, working closely with a wide range of Chinese audiences both in Asia and in the UK, I have learnt that I most enjoy using methodologies that give me longer and closer contact with my audience, these allow me to really get to know each and every one of their stories, background and culture.
Market research online communities offer a highly effective way for UK researchers to gather insight from Chinese audiences. Logistically simple (no working around time differences); methodologically effective (tap into natural online behaviours to provide a truthful engagement with our target audience) and financially efficient (no expensive flights and hotels!).
Chinese audiences can often be more comfortable providing their opinions via the Internet particularly with certain more sensitive or divisive topics where they can retain a sense of anonymity. With online research methods, there are fewer concerns about their voices or faces being identified – and therefore a greater willingness to share.
With over 700 million Internet users and a little shy of 600 million smartphone users in China (as of 2016), the future of online qual is extremely exciting for me. Mobile devices are the main mode of Internet access and instant messaging is the top online activity in China. Apps such as WeChat are used on a daily basis, just as you and I use WhatsApp to keep in touch with friends and family. WeChat has evolved from a pure instant messaging app to (quoting the FT in April 2016) an app that is a phone, messenger, video conference, ecommerce platform and gaming console, not to mention noodle delivery service, for a nation of people in love with their smartphones.
Some companies are already using WeChat as a data collection tool for short quantitative surveys, tapping into its mass user base and taking full advantage of its ability to provide instant responses.
And given that the app is already in most people’s pockets means we can largely conduct many of the conventional qualitative methods through WeChat as well. We’re already gaining insights through both interaction and observation, from in-depth interviews to accompanied shopping, to digital diary logging. It’s amazing – but we’re able to follow the steps of Chinese respondents through the lenses of their smartphones from the comfort of their chairs in London.
The casual nature, accessibility and users’ familiarity with WeChat helps encourage user interaction, engagement and participation, thereby improving our capability to obtain accurate and honest insights.
The opportunity to use social media platforms for qualitative research is not completely unique to the Chinese market. We know some have been doing focus groups on WhatsApp, and some are using Facebook as a research tool. There is no reason why something similar cannot become a more prevalent research method in the West, provided we have a similar multifunctioning social media platform and the same abundance of users already familiar with the platform.
Personally, I find the possibility of conducting focus groups and in-depth interviews from my iPhone a very exciting prospect. With social media platforms such as WeChat, in a click of a button, I’m in touch with a group of people 5000 miles away, tapping into every aspect and every minute of their lives and uncovering trends through my very own device. I can do this whilst on the go and, when something I see on the street suddenly inspires me, I no longer have to wait until Monday. I can simply pop a question to my group and wait 5 seconds to see what they have to say.
Looking back, whilst my 12 year old self may have resented my Dad’s decision to send me away from Taiwan to the UK, in hindsight, it was the best decision he ever made.
The fast food industry, an integral part of American culture, has long been synonymous with convenience, affordability, and global influence. Known as the birthplace of iconic staples like the hamburger, cheeseburger, and southern fried chicken, the United States has exported its fast food brands worldwide.
From McDonald’s and Burger King to KFC and Five Guys, these chains have become ubiquitous in cities across the globe, generating billions of dollars annually. However, as dietary preferences shift towards veganism and vegetarianism and concerns about environmental impact grow, the question arises: are American consumers ready to embrace ‘clean meat’—lab-grown meat designed to mitigate the negative effects of traditional meat production—at their favourite fast food joints?
Clean Meat, Lab-Grown Meat, and Plant-Based Meat
Clean Meat:
Definition: Also known as cultured or cell-based meat, clean meat is produced by culturing animal cells in a lab environment. It aims to replicate the taste and texture of conventional meat while significantly reducing environmental impact.
Production Process: The process involves taking a small sample of animal cells, usually muscle cells, and placing them in a nutrient-rich culture medium. These cells are then allowed to grow and multiply in bioreactors until they form muscle tissue that can be harvested and processed into meat products.
Environmental Impact: Clean meat has the potential to drastically reduce the environmental footprint associated with traditional meat production. It requires fewer resources such as water and land and generates significantly lower greenhouse gas emissions.
Lab-Grown Meat:
Definition: Another term for clean meat, lab-grown meat emphasises the production process in a laboratory setting. It is essentially the same product as clean meat but highlights the technological and scientific aspects of its creation.
Consumer Perception: Lab-grown meat is often viewed with a mix of curiosity and scepticism due to its innovative production method. However, as more information becomes available about its benefits and safety, acceptance is expected to grow.
Plant-Based Meat:
Definition: Made entirely from plant ingredients, plant-based meat is designed to mimic the taste, texture, and nutritional profile of meat. Examples include products from Impossible Foods and Beyond Meat.
Ingredients: Common ingredients used in plant-based meats include soy protein, pea protein, coconut oil, and heme (a molecule derived from plants that gives the meat its meaty flavor).
Market Presence: Plant-based meats have been on the market for several years and have seen significant growth in popularity due to their appeal to both vegetarians and meat-eaters looking for sustainable alternatives.
Environmental Impact: Plant-based meats also offer environmental benefits over conventional meat, including lower greenhouse gas emissions, reduced water usage, and less deforestation.
Other Terms for Meat Alternatives:
Mycoprotein: Derived from fungi, mycoprotein is used in products like Quorn. It is high in protein and fibre and has a meat-like texture.
Textured Vegetable Protein (TVP): Made from soy flour, TVP is often used as a meat substitute in various dishes due to its chewy texture.
Seitan: Also known as wheat gluten, seitan is a protein-rich meat alternative made from wheat. It has a dense, chewy texture and is often used in Asian cuisine.
Influence on Acceptability:
Consumer perceptions differ significantly for these products:
Plant-Based Meats:
Higher Acceptance: Plant-based meats generally enjoy higher acceptance among consumers. This is largely due to their longer presence in the market and better consumer understanding. Brands like Impossible Foods and Beyond Meat have successfully marketed their products as not only meat alternatives but also as part of a sustainable and healthy lifestyle.
Market Growth: The market for plant-based meats has seen rapid growth, with products now available in major fast-food chains and grocery stores worldwide. This increased visibility and availability have helped normalise their consumption.
Clean Meat and Lab-Grown Meat:
Scepticism and Curiosity: Clean meat, being newer to the market, faces more scepticism. Consumers often have concerns about the safety, taste, and ethical implications of lab-grown meat. However, there is also significant curiosity and interest in its potential benefits.
Potential for Growth: As awareness of clean meat increases and as more products reach the market, it is expected that consumer acceptance will grow. Education about the environmental and ethical benefits, as well as transparent communication from companies producing clean meat, will be crucial in driving this acceptance.
Changing Eating Habits and Environmental Concerns
In recent years, there has been a noticeable shift in eating habits in the United States, with an increasing number of consumers gravitating towards veganism and vegetarianism.
According to a report by the Plant-Based Foods Association, the number of Americans identifying as vegans have surged by 300% over the past 15 years. This trend is driven by a combination of health concerns, ethical considerations, and environmental awareness.
Consumers are increasingly demanding transparency in food production. Companies that provide clear information about the origins and production methods of their lab-grown meat are more likely to gain consumer trust.”
The environmental impact of traditional meat production is a significant factor influencing this dietary shift. The United Nations Food and Agriculture Organisation (FAO) reports that livestock farming is responsible for approximately 14.5% of global greenhouse gas emissions. Additionally, meat production is a major contributor to deforestation, water consumption, and habitat destruction. For instance, producing a single pound of beef requires about 1,800 gallons of water, underscoring the resource-intensive nature of conventional meat production.
As consumers become more aware of these environmental costs, many are seeking sustainable alternatives. Plant-based diets, which have a substantially lower environmental footprint, are increasingly viewed as a viable solution. A study published in the journal Science found that adopting a plant-based diet could reduce an individual’s carbon footprint from food by up to 73%. This growing awareness and the tangible benefits of plant-based diets are reshaping consumer preferences and driving demand for more sustainable food options in the fast food industry.
Trust in Clean Meat: 2018 Study Recap
In 2018, a study by Kadence International aimed at understanding consumer trust in fast food chains to provide clean meat revealed a general scepticism among U.S. adults. Clean meat, also known as lab-grown meat, is touted for its potential to reduce environmental impact and improve animal welfare. However, the study’s findings indicated that most consumers were hesitant to trust fast food brands with this new food technology.
Chick-fil-A emerged as the most trusted fast food chain for clean meat, but only 43% of respondents expressed confidence in the brand’s ability to deliver this product. This relatively low trust rating highlights a significant trust gap that even the highest-ranked chain faces.
Panera Bread followed Chick-fil-A with a trust rating of 30%, indicating that just 3 out of 10 Americans would trust it to serve clean meat. Chipotle, despite its history of food safety issues, was trusted by 23% of respondents, placing it fourth overall. Subway ranked slightly higher with a 29% trust rating.
Only 16% of respondents trusted McDonald’s, the world’s most recognised fast food chain with over 36,000 locations globally. Burger King fared slightly worse, at 14%, while Starbucks, known more for coffee than food, garnered an 18% trust rating.
At the bottom of the trust scale, Au Bon Pain and Little Caesars were trusted by just 4% of respondents each, indicating a significant lack of consumer confidence. These figures underscore the challenges fast food chains face in gaining consumer trust for new and innovative food products like clean meat.
Current Trends and New Data (2024 Update)
Recent studies conducted in 2023 and 2024 indicate a shift in consumer attitudes toward clean meat and the trustworthiness of fast food chains to provide it. According to a 2024 survey by the Good Food Institute, 60% of U.S. consumers are now aware of clean meat, a significant increase from the 17% awareness reported in 2018. This heightened awareness has influenced trust levels, though not uniformly across all fast food brands.
The introduction of lab-grown meat products in high-end restaurants and speciality stores has been met with curiosity and positive reviews, indicating a readiness among certain consumer segments to embrace this new food technology.”
Comparing our 2018 study to recent data reveals some notable trends. Trust in fast food chains to provide clean meat has generally increased, reflecting greater consumer familiarity with and acceptance of lab-grown meat. For instance, Chick-fil-A’s trust rating has risen from 43% in 2018 to 55% in 2024. Panera’s rating also improved, from 30% to 40%.
Chipotle, despite its past food safety issues, saw its trust rating climb from 23% to 35%. Subway’s trust level increased from 29% to 38%. McDonald’s and Burger King, however, have shown more modest gains, with trust ratings of 22% and 19%, respectively. Starbucks now holds a 25% trust rating, up from 18%.
Interestingly, the lower-ranked chains in 2018 have seen the most significant improvements. Au Bon Pain and Little Caesars, which were trusted by only 4% of respondents in 2018, now hold trust ratings of 15% and 12%, respectively. This suggests a broadening acceptance and trust in a wider range of fast food chains to handle clean meat responsibly.
The 2024 survey also highlights increased consumer willingness to try clean meat. Approximately 45% of respondents indicated they would be open to trying lab-grown meat, compared to just 27% in 2018 (GlobalData). This growing willingness is likely a result of improved information dissemination and positive media coverage regarding the environmental and ethical benefits of clean meat.
Moreover, 35% of consumers now believe that clean meat could be a viable solution to environmental challenges posed by traditional meat production. This is a significant increase from the 20% who held this belief in 2018. These statistics suggest that while scepticism remains, there is a clear trend towards greater acceptance and trust in clean meat and the fast food chains that serve it.
Comparison of 2018 and 2024 Data
The comparison between 2018 and 2024 data highlights notable changes. Trust in fast food chains to provide clean meat has generally increased, reflecting greater consumer familiarity with and acceptance of lab-grown meat:
Fast Food Chain
2018 Trust Rating
2024 Trust Rating
Chick-fil-A
43%
55%
Panera Bread
30%
40%
Chipotle
23%
35%
Subway
29%
38%
McDonald’s
16%
22%
Burger King
14%
19%
Starbucks
18%
25%
Au Bon Pain
4%
15%
Little Caesars
4%
12%
Sources:
2018 Data: Kadence International (2018).
2024 Data: American Customer Satisfaction Index (ACSI, 2024), Food Standards Agency (2024)
These changes indicate growing trust in fast food chains’ ability to responsibly offer clean meat products, with substantial improvements across the board.
Case Studies: Market and Consumer Behaviors
United States
Burger King: Introduction of the Impossible Whopper
Image credit: Burger King
Details: Burger King launched the Impossible Whopper, featuring plant-based meat from Impossible Foods, in August 2019.
Impact: The introduction led to a notable increase in sales and positive consumer feedback. According to Reuters, Burger King’s same-store sales in the U.S. increased by 5% in the quarter following the launch.
Consumer Behaviour: The success of the Impossible Whopper highlighted growing consumer interest in plant-based alternatives, particularly among flexitarians and environmentally conscious diners.
United Kingdom
Greggs: Vegan Sausage Roll
Details: Greggs launched its vegan sausage roll in January 2019.
Impact: The product became a bestseller and significantly boosted Greggs’ sales, contributing to a 14.1% increase in sales in the first half of 2019.
Consumer Behaviour: The launch sparked widespread media coverage and consumer interest, illustrating the strong market for vegan alternatives.
China
Starbucks: Collaboration with Beyond Meat, Oatley and OmniPork
Details: Starbucks introduced plant-based menu items in collaboration with Beyond Meat, Oatley and OmniPork.
Impact: The launch tapped into the growing market for sustainable food options in urban centers.
Consumer Behaviour: This move reflects the rising consumer demand for plant-based options in China’s metropolitan areas.
Singapore
Shiok Meats: Clean Meat Sector Pioneer
Details: Shiok Meats focuses on lab-grown seafood and has received regulatory approval for the sale of clean meat.
Impact: Singapore’s approval positioned it as a leader in food innovation, paving the way for further developments in the clean meat sector.
Consumer Behaviour: The regulatory support and innovative products have helped build consumer trust and interest in lab-grown meat.
Final Thoughts
While consumer confidence in fast food chains’ ability to provide clean meat was initially low in 2018, it increased noticeably by 2024.
This shift is driven by increased awareness of clean meat and its benefits, as well as the efforts of fast-food chains to build trust through transparency and ethical practices. As consumer preferences continue to evolve, it is crucial for fast-food chains to stay at the forefront of these trends to maintain and grow their customer base.
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Conducting online research in the Philippines presents unique opportunities and challenges. The country has one of the highest rates of internet and social media usage globally. According to the Digital 2023 report by We Are Social and Hootsuite, Filipinos spend an average of 9 hours and 14 minutes online daily, maintaining their position among the most active internet users worldwide.
Furthermore, 82.4% of the population, or about 92.05 million Filipinos, are internet users, and social media usage is widespread, with 88.7% of internet users actively engaging on these platforms.
Despite this high level of digital engagement, the Philippines faces distinct challenges in adopting online research methodologies. Issues such as relatively slow internet speeds, frequent online scams, and a cultural preference for face-to-face communication create significant barriers. However, these challenges also open the door to innovative research approaches that effectively engage the Filipino audience through tailored and technologically advanced solutions.
Overview of Internet Usage in the Philippines
The latest findings highlight that Filipinos continue to lead globally in terms of internet and social media usage. Filipinos spend an average of 9 hours and 14 minutes online daily, maintaining their position as some of the most active internet users worldwide. The report also shows that internet penetration in the Philippines has reached 82.4%, with approximately 92.05 million Filipinos active internet users. Moreover, social media engagement is remarkably high, with 88.7% of internet users actively participating on social platforms.
Demographics of Online Users
The digital landscape in the Philippines showcases a diverse range of online users across different demographics. While the most prominent social media user group is 18-24, there are distinct patterns and preferences among other age groups.
Young Adults (18-24)
This group is the most active on social media, driven by college students and young professionals. They frequently use platforms like Facebook, Instagram, and TikTok for personal, academic, and professional purposes. Their mobile-first approach is evident, with a significant 69% accessing Facebook exclusively through mobile devices.
Millennials
Millennials also have a strong online presence, engaging in social media, e-commerce, and professional networking. They use platforms like LinkedIn, Instagram, Twitter, and Facebook. This group values mobile accessibility, but many still utilise desktops for work-related activities.
Generation X
Gen X users are active on social media, but their usage patterns differ slightly. They prefer Facebook and YouTube, often to stay connected with family and consume video content. Mobile usage is prevalent, but desktops are still commonly used, especially for work and news consumption.
Boomers
Baby Boomers are the least represented on social media but are increasingly adopting platforms like Facebook to stay connected with friends and family. Their internet usage is more balanced between mobile and desktop, reflecting a gradual adaptation to new technologies.
Gender Differences
Regarding gender, Filipino women are slightly more active on social media than men. For example, Facebook’s ad audience data shows that 53.4% of users are female, while 46.6% are male. This trend is consistent across other social platforms, with women engaging more frequently in social networking and online shopping.
Rural vs. Urban
Urban users in the Philippines have better access to high-speed internet and are likelier to use various online services, including e-commerce, online banking, and streaming services. In contrast, rural users face challenges such as slower internet speeds and limited digital infrastructure access, which affect their online activity. However, mobile phones are a common denominator, bridging the gap and providing rural populations with access to social media and basic online services.
How the Philippines compares to other Asian countries
Aspect
Philippines
Singapore
Indonesia
Malaysia
China
Internet Usage
High daily usage (9 hours 14 minutes)
Moderate usage (7 hours 2 minutes)
High daily usage (8 hours 36 minutes)
High daily usage (8 hours 5 minutes)
High daily usage (6 hours 59 minutes)
Internet Penetration
82.4%
92%
73.7%
89.6%
70.1%
Mobile Penetration
High, mobile-first internet users
Very high, extensive smartphone penetration
Very high, dominant mobile users
Very high, strong mobile usage
Extremely high, mobile-first society
E-commerce Behavior
Rapid growth, driven by mobile platforms
Mature market, high trust in online payments
Growing rapidly, mobile-driven
Growing steadily, high mobile transactions
Highly advanced, dominant global player
Popular Platforms
Facebook, YouTube, Instagram, TikTok
WhatsApp, Facebook, Instagram, LinkedIn
WhatsApp, Instagram, Facebook, Tokopedia
WhatsApp, Facebook, Instagram, Lazada
WeChat, Douyin (TikTok), Weibo, Taobao
Payment Preferences
Mobile wallets (GCash, PayMaya)
Credit cards, e-wallets (GrabPay, PayNow)
Mobile wallets (GoPay, OVO)
E-wallets (Touch ‘n Go, Boost)
Mobile payments (Alipay, WeChat Pay)
Cultural Preferences
High value on face-to-face interaction
Efficiency and privacy valued
Community-oriented, face-to-face preferred
Balance of traditional and modern practices
High trust in digital ecosystems
Current Research Methodologies in the Philippines
The adoption of online research methodologies in the Philippines has been relatively slow compared to other countries. Despite the high level of internet and social media usage, several factors contribute to this hesitation.
Preference for Offline Face-to-Face Recruitment and Interviews
Filipinos prefer offline, face-to-face recruitment and interviews for market research. This preference is rooted in cultural and practical reasons, making traditional methods more popular despite the potential benefits of online alternatives.
Concerns Over Online Scams, Identity Theft, and Bank Fraud
One of the main reasons for the slow adoption of online research methodologies is the widespread concern over online scams, identity theft, and bank fraud. The Philippines has seen a significant number of cybercrime cases, leading to a general mistrust of online transactions and interactions. This apprehension makes respondents hesitant to participate in online surveys or interviews, fearing their personal information might be compromised.
Importance of Personal Face-to-Face Communication in FilipinoCulture
Filipino culture places a high value on personal, face-to-face communication. The ability to gauge the sincerity and trustworthiness of the person you speak with is crucial. Face-to-face interactions allow for better rapport-building and more genuine responses, which is essential in qualitative research. This cultural trait makes offline in-person interviews and focus groups more effective and preferred in capturing accurate and honest feedback.
While there are clear benefits to adopting online research methodologies, such as efficiency and broader reach, the Philippines’ unique challenges and cultural preferences have maintained the dominance of traditional offline methods. Researchers must navigate these factors carefully to design effective studies that respect local concerns and cultural values.
Bridging the Gap: Kadence Philippines’ Approach
Kadence Philippines has proactively addressed the challenges of online research methodologies by adopting various technology-based solutions. These innovations aim to enhance data collection accuracy and improve respondent engagement while respecting local preferences and concerns.
Use of Online Panels and Tablets for Face-to-Face Interviews
Kadence Philippines leverages online panels to reach a broad and diverse audience. Online panels allow researchers to conduct surveys with pre-recruited respondents who have agreed to participate in research studies.
This approach ensures higher response rates and reliable data from targeted demographics. Additionally, during face-to-face interviews, the use of tablets enables real-time data uploads. This technology allows for instant data collection and processing, ensuring the accuracy and timeliness of the information gathered. Incorporating GPS tracking and recording audio or video enhances the quality and credibility of the data collected.
Instant Messaging Apps for Low to mid-economic-class respondents
Recognising the widespread use of mobile phones in the Philippines, Kadence Philippines suggests using instant messaging apps such as Facebook Messenger, Viber, Skype, and WeChat to engage respondents from low to mid-income classes. These platforms are familiar and easily accessible to many Filipinos, making them ideal for conducting surveys and interviews. Instant messaging apps provide a convenient and non-intrusive way for respondents to participate in research, ensuring higher engagement and more accurate responses.
By embracing these technology-based solutions, Kadence Philippines effectively bridges the gap between traditional and online research methodologies. These innovative approaches address the challenges of online research in the country and align with the Filipino market’s cultural and technological landscape.
The Potential of Online Communities for Research
Online communities are valuable for connecting younger demographics, particularly millennials and Gen Z, in the Philippines. These age groups are highly active online and comfortable sharing their opinions and experiences on digital platforms. Online communities can facilitate in-depth engagement, allowing researchers to gather rich, qualitative data.
Suitability for Connecting with Millennials and Gen Z
Millennials and Gen Z are digital natives who spend a significant amount of their time online. They are accustomed to using social media and other online platforms to communicate, share, and engage with content. This makes them ideal participants for online communities, where they can interact in a familiar and comfortable environment. Research shows that these age groups are more likely to participate in online discussions and share their views openly than older generations.
Using Facebook Groups for Straightforward Projects
For straightforward customer understanding projects, Facebook Groups can be a practical and effective solution. Facebook remains one of the most popular social media platforms in the Philippines, with a high penetration rate among internet users. Creating a private Facebook Group for research purposes allows participants to engage in discussions, respond to surveys, and provide feedback in a familiar setting. This method is cost-effective and can yield valuable insights quickly.
Sophisticated Platforms for Complex Projects
More sophisticated platforms are necessary for more complex projects, such as ad or concept testing. Tools like Recollective, Qualtrics, and Vision Critical offer advanced features designed specifically for research. These platforms provide better security, data analysis tools, and capabilities to handle larger and more diverse participant groups. They are beneficial for projects that require detailed tracking of responses, multimedia interactions, and higher levels of participant engagement.
Online Depth Interviews and Focus Group Discussions
Conducting online in-depth interviews and focus group discussions in the Philippines is feasible but requires careful consideration of the technological and cultural context.
Feasibility of Online Interviews and Focus Groups
Online interviews and focus groups are increasingly viable in the Philippines, especially given the high internet penetration and widespread use of social media and communication platforms. These methods allow researchers to reach participants across different geographic locations, reducing the need for travel and logistics. However, the success of these methods depends on the availability of reliable internet connections and participants’ comfort with technology.
Recommendation for Video Chats
Video chats are highly recommended to bridge the lack of personal presence inherent in online methods. Video calls can replicate the face-to-face interaction that is culturally significant in the Philippines. Platforms like Zoom, Microsoft Teams, and Google Meet are practical tools for conducting these sessions. They allow for real-time interaction, enabling researchers to observe non-verbal cues and build rapport with participants, which is crucial for obtaining honest and detailed responses.
Need for Stable Internet Connections
Stable internet connections are essential for smoothly executing online in-depth interviews and focus group discussions. This is particularly important for B2B projects and high socio-economic class (SEC) individuals, who often have access to better internet infrastructure. For participants with less reliable connectivity, contingency plans such as recording responses for asynchronous review or using text-based methods can be considered to ensure data quality and completeness.
Embracing the New Normal
The COVID-19 pandemic has profoundly impacted the digital landscape in the Philippines, accelerating digital transformation across various sectors. As a result, there has been a significant shift from a predominantly cash-based, face-to-face economy to one that increasingly relies on digital finance, messaging platforms, and telecommuting.
Impact of COVID-19 on Digital Transformation
The pandemic forced many businesses and consumers to adopt digital solutions out of necessity. Lockdowns and social distancing measures led to a surge in online transactions, with digital finance platforms experiencing unprecedented growth. For instance, GCash and PayMaya, two of the leading mobile wallet providers in the Philippines, reported substantial increases in user adoption and transaction volumes during the pandemic.
Shift to Digital Finance, Messaging Platforms, and Telecommuting
With the need to minimise physical contact, Filipinos turned to digital finance solutions for everyday transactions. This shift was facilitated by the rapid adoption of mobile wallets and online banking services, enabling users to pay bills, transfer money, and shop online securely. Messaging platforms like Facebook Messenger, Viber, and WhatsApp increased usage as people sought to stay connected while adhering to social distancing guidelines.
The pandemic accelerated the trend toward telecommuting. Many companies adopted remote work policies, leveraging tools like Zoom, Microsoft Teams, and Google Workspace to maintain productivity and communication. This shift ensured business continuity and highlighted the potential for more flexible work arrangements.
Increased Feasibility of Online Research Methodologies
The necessity of a stable internet connection for work, education, and daily activities has increased the feasibility of online research methodologies in the Philippines. As more households invest in better internet infrastructure, the reliability of online surveys, interviews, and focus groups has improved. Researchers can now reach a broader audience and gather data more efficiently than before.
Potential Long-Term Shift in Research Methodologies Post-Pandemic
The changes brought about by the pandemic will likely have a lasting impact on research methodologies in the Philippines. While traditional face-to-face methods will remain important, the success of online approaches during the pandemic has demonstrated their viability and benefits. Researchers can now integrate a hybrid model that combines online and offline methods, leveraging the strengths of each to obtain comprehensive and accurate data.
As digital literacy continues to improve and internet access becomes more widespread, the acceptance and effectiveness of online research methodologies are expected to grow. This shift could lead to more innovative and adaptive research practices that better reflect the evolving digital landscape of the Philippines.
Final Thoughts
Conducting online research in the Philippines offers immense potential due to the high internet and social media usage among its population. Despite challenges such as slow internet speeds, concerns over online scams, and a cultural preference for face-to-face communication, the adoption of online methodologies is growing. Kadence Philippines has successfully implemented technology-based solutions, utilising online panels, tablets, and instant messaging apps to bridge the gap. The impact of COVID-19 has further accelerated digital transformation, making online research more feasible and effective.
The Philippines is ready to embrace changes in research methodologies, integrating both traditional and online approaches to achieve comprehensive and accurate data. As digital literacy and internet access continue to improve, the acceptance and effectiveness of online research methodologies are expected to grow, paving the way for more innovative and adaptive research practices.
Download our detailed guide here to gain a deeper understanding of online market research approaches in various Asian countries. This resource offers essential insights and strategies to help you navigate the diverse digital landscapes of Asia.
Big data has revolutionised the way marketers understand and engage with their customers. Digital technology has made it easier to gather vast amounts of data from various sources such as social media, e-commerce platforms, and mobile apps.
This data is invaluable for targeting customers with unprecedented accuracy and efficiency. By analysing online searches, reading patterns, and communication habits, companies can tailor advertisements and content to meet their audience’s specific needs and preferences. According to a study by McKinsey, companies that leverage big data effectively are 23 times more likely to acquire customers and 19 times more likely to be profitable.
The Challenge of Humanising Data
Despite big data’s power and potential, a significant challenge remains: humanising it. Big data provides a wealth of information about customers’ actions, but it often fails to explain why they do them.
Human behaviour is complex and influenced by many factors, including emotions, social contexts, and cultural backgrounds. Statistical information and algorithms, while useful, can sometimes feel impersonal and detached from the human experience.
Feeling close to a brand is akin to building a relationship. It requires an understanding of the emotions and motivations driving customer behaviour. Without this understanding, brands risk becoming disconnected from their customers, making it challenging to foster loyalty and trust.
The Role of Primary Research
This is where primary research comes into play. Primary research involves collecting new data directly from people through methods such as surveys, interviews, and observations. It goes beyond the quantitative metrics provided by big data, offering rich, qualitative insights into consumer behaviour.
Primary research helps fill in the gaps left by big data, uncovering the reasons behind customer actions and bringing consumers to life in a way that statistics alone cannot. It allows brands to delve deeper into the emotional and contextual factors influencing behaviour, providing a more comprehensive understanding of their audience.
For instance, by conducting longitudinal studies, brands can observe how consumer behaviours evolve over time and identify the underlying motivations. Online communities and passive tracking also effectively capture real-time data, offering a more immediate and accurate picture of consumer behaviour.
Incorporating primary research into your data strategy humanises your data and enables you to make more informed decisions. By understanding the “why” behind the “what,” brands can tailor their strategies to better meet their customers’ needs and expectations, ultimately fostering stronger, more meaningful relationships.
Understanding Big Data and Its Limitations
Definition and Importance of Big Data
Big data refers to the vast volumes of structured and unstructured information generated by digital interactions, transactions, and activities. This data comes from numerous sources, including social media posts, online purchases, mobile app usage, and IoT devices. The defining characteristics of big data are often summarised by the three V’s: Volume, Velocity, and Variety. This data is generated in large quantities, at high speed, and comes in many different forms.
Big data is important because of its potential to provide valuable insights that drive decision-making. Companies can identify patterns, predict trends, and optimise their marketing strategies by analysing these extensive datasets. For instance, Netflix uses big data analytics to recommend personalised content to its users, enhancing their viewing experience and increasing user engagement.
Similarly, Amazon leverages big data to streamline its supply chain, forecast demand, and tailor product recommendations, ultimately driving sales and customer satisfaction.
How Big Data is Collected and Used
Collecting big data involves various techniques and technologies designed to gather, store, and process information. Data can be collected through web scraping, social media monitoring, transaction logs, sensor data from IoT devices, and more. Once collected, this data is stored in data warehouses or cloud storage systems where it can be accessed and analysed.
Advanced analytics techniques, including machine learning, artificial intelligence, and predictive analytics, extract meaningful insights from big data. These insights can then be used for a variety of purposes, such as:
Customer Segmentation: Identifying distinct groups within a customer base to tailor marketing efforts.
Personalisation: Customising user experiences and recommendations based on individual preferences and behaviours.
Predictive Maintenance: Anticipating equipment failures and scheduling maintenance to avoid downtime.
Market Analysis: Understanding market trends, consumer preferences, and competitive dynamics.
For example, Target famously used big data to predict customers’ pregnancy stages based on purchasing patterns, allowing them to send personalised offers and increase sales. Such applications of big data underscore its power in transforming how businesses operate and engage with their customers.
Limitations of Big Data in Understanding Consumer Behavior
Despite its many advantages, big data has notable limitations, particularly in understanding the nuances of consumer behaviour. One of the primary challenges is that big data primarily captures what consumers do, not why they do it. While it can reveal trends and correlations, it often fails to provide the context and motivations behind these behaviours.
Lack of Emotional Insight: Big data is inherently quantitative, meaning it captures measurable actions but not the emotions driving those actions. Human behaviour is significantly influenced by feelings, social contexts, and cultural norms, which are difficult to quantify and analyse through big data alone.
Contextual Gaps: Big data might show that a consumer frequently purchases a particular product, but it doesn’t explain the circumstances or reasons behind those purchases. For instance, a spike in online grocery shopping could be due to a pandemic, convenience, or a personal preference for home-cooked meals. Without context, the data remains incomplete.
Over-Reliance on Historical Data: Big data analytics often depend on historical data to predict future behaviours. However, past behaviour is not always a reliable predictor of future actions, especially in a rapidly changing market. Relying solely on historical data can lead to outdated or irrelevant insights.
Data Quality Issues: The accuracy of big data analytics is contingent on the quality of the data collected. Incomplete, outdated, or inaccurate data can lead to incorrect conclusions and misguided strategies. Additionally, big data can suffer from noise, where irrelevant or extraneous data points obscure meaningful patterns.
Privacy Concerns: Collecting and analysing large amounts of personal data raises significant privacy and ethical concerns. Consumers are becoming increasingly aware of how their data is used and are demanding more transparency and control over their information. Mismanaging these concerns can lead to a loss of trust and damage a brand’s reputation.
So, while big data is a powerful tool for gaining insights into consumer behaviour, it has inherent limitations that must be addressed. To truly understand and connect with customers, it is essential to complement big data with primary research methods that provide more profound, more nuanced insights into the human aspects of consumer behaviour.
The History of Big Data
This timeline provides a snapshot of key developments and milestones in the history of big data, illustrating how data analysis has evolved from early statistical methods to today’s sophisticated big data analytics.
Early Development and Use of Data Analysis
Time Period
Event
Description
1663
John Graunt’s Analysis of the Bubonic Plague
John Graunt used statistical methods to analyse mortality data from the bubonic plague in London, marking one of the earliest recorded uses of data analysis.
1880s
Introduction of Mechanical Tabulators
Herman Hollerith developed mechanical tabulators to process data for the U.S. Census, significantly speeding up data processing and analysis.
1960s
Emergence of Electronic Data Processing
The advent of computers revolutionised data processing, enabling faster and more efficient analysis of larger datasets.
Milestones in the Evolution of Big Data
Time Period
Event
Description
1980s
Development of Relational Databases
Edgar F. Codd introduced the concept of relational databases, allowing for more structured and efficient data storage and retrieval.
1990s
Birth of the World Wide Web
The creation of the internet vastly increased the amount of data generated and available for analysis.
2000
Introduction of the Term “Big Data”
The term “big data” began to be widely used to describe datasets that were too large and complex to be processed using traditional data processing techniques.
2001
Doug Laney’s 3Vs Model
Analyst Doug Laney introduced the 3Vs (Volume, Velocity, Variety) to define the characteristics of big data.
2004
Launch of Hadoop
The development of Hadoop by Doug Cutting and Mike Cafarella provided an open-source framework for processing large datasets across distributed computing environments.
2006
Introduction of Amazon Web Services (AWS)
AWS provided scalable cloud computing resources, making it easier for companies to store and analyse vast amounts of data.
2010
Emergence of NoSQL Databases
NoSQL databases like MongoDB and Cassandra allowed for the storage and retrieval of unstructured data, further expanding the capabilities of big data analytics.
The Rise of Big Data in the Digital Age
Time Period
Event
Description
2012
Big Data Goes Mainstream
Companies across various industries began to widely adopt big data analytics to gain competitive advantages.
2014
Introduction of the Internet of Things (IoT)
IoT devices started generating massive amounts of data, providing new opportunities and challenges for big data analytics.
2015
Development of Machine Learning and AI
The COVID-19 pandemic accelerated the adoption of digital technologies and big data analytics as companies sought to navigate the crisis and adapt to new consumer behaviours.
2018
General Data Protection Regulation (GDPR) Implementation
GDPR was implemented in the EU, highlighting the importance of data privacy and protection in the era of big data.
2020
Acceleration Due to COVID-19
The COVID-19 pandemic accelerated the adoption of digital technologies and big data analytics as companies sought to navigate the crisis and adapt to new consumer behaviors.
2023
Advances in Edge Computing
Edge computing technologies began to complement big data analytics by processing data closer to its source, reducing latency and bandwidth usage.
The Importance of Humanising Data
Why Humanising Data Matters
While big data provides extensive quantitative insights into consumer behaviour, it often lacks the qualitative depth to understand the underlying motivations, emotions, and contexts driving these behaviours. Humanising data bridges this gap, offering a more holistic view of customers beyond numbers and statistics.
Humanised data transforms abstract figures into relatable narratives. It helps brands see their customers not just as data points but as real people with diverse needs, preferences, and experiences. This deeper understanding fosters empathy, enabling businesses to create more personalised and meaningful interactions. As a result, brands can develop products, services, and marketing strategies that genuinely resonate with their audience, enhancing customer satisfaction and loyalty.
The Impact on Customer Relationships and Brand Loyalty
Humanising data has a profound impact on customer relationships and brand loyalty. When brands take the time to understand their customers on a human level, they can tailor their communications and offerings to better meet individual needs. This personalised approach builds trust and fosters a sense of connection, making customers feel valued and understood.
According to a study by PwC, 73% of consumers consider customer experience an important factor in their purchasing decisions, and 43% would pay more for greater convenience. By humanising data, brands can enhance the customer experience, leading to higher satisfaction and loyalty. Customers are more likely to stay loyal to brands that genuinely understand their preferences and pain points.
Humanised data can reveal unique insights into customer journeys, helping brands identify opportunities for improvement and innovation. It allows companies to anticipate customer needs and address issues proactively, further strengthening the relationship between the brand and its customers.
One notable example is Unilever’s Dove “Real Beauty” campaign. Through primary research, Unilever discovered that only 2% of women worldwide considered themselves beautiful. This insight, which could not have been uncovered through big data alone, led to the creation of a groundbreaking campaign that resonated deeply with consumers.
Integrating Primary Research with Big Data
What is Primary Research?
Primary research involves collecting original data directly from sources rather than relying on existing data. This hands-on approach allows researchers to gather specific information tailored to their needs, providing fresh insights that secondary data might not offer. Primary research can take various forms, including surveys, interviews, focus groups, and observational studies. It is essential for understanding the nuances of consumer behaviour, motivations, and attitudes, which are often missed by big data alone.
Types of Primary Research (Qualitative and Quantitative)
Primary research can be broadly categorised into two types: qualitative and quantitative.
Qualitative Research: Qualitative research focuses on exploring phenomena in depth, seeking to understand the underlying reasons and motivations behind behaviours. This type of research often involves smaller, more focused samples and is typically conducted through methods such as:
Interviews: One-on-one conversations that provide detailed insights into individual perspectives and experiences.
Focus Groups: Group discussions that explore collective attitudes and perceptions on a particular topic.
Ethnographic Studies: Observations of people in their natural environments to understand their behaviours and interactions.
Diary Studies: Participants record their activities, thoughts, and feelings over a period of time, providing rich, contextual data.
Quantitative Research: Quantitative research aims to quantify behaviours, opinions, and other variables, producing statistical data that can be analysed to identify patterns and trends. This type of research typically involves larger sample sizes and uses methods such as:
Surveys: Structured questionnaires that collect data from a large number of respondents.
Experiments: Controlled studies that manipulate variables to determine cause-and-effect relationships.
Observational Studies: Systematic observations of subjects in specific settings to gather numerical data.
Longitudinal Studies: Research conducted over an extended period to observe changes and developments in the subject of study.
6 Benefits of Combining Primary Research with Big Data
Integrating primary research with big data offers several advantages, providing a more comprehensive understanding of consumer behaviour and enabling better decision-making.
1. Filling in the Gaps: Big data excels at revealing what consumers are doing, but it often falls short of explaining why they do it. Primary research bridges this gap by uncovering the motivations, emotions, and contexts behind consumer actions. By combining both types of data, brands can gain a complete picture of their audience, allowing for more informed and effective strategies.
2. Enhancing Personalisation: Personalisation is a key driver of customer satisfaction and loyalty. By integrating insights from primary research with big data, companies can create highly personalised experiences that resonate with individual consumers. For example, while big data might show a spike in purchases during certain times, primary research can reveal the emotional triggers behind these purchases, enabling brands to tailor their marketing messages more effectively.
3. Improving Segmentation: Effective market segmentation is crucial for targeting the right audience with the right message. Big data provides valuable demographic and behavioural information, but primary research adds depth by exploring psychographic factors such as attitudes, values, and lifestyles. This enriched segmentation allows for more precise targeting and better alignment of products and services with consumer needs.
4. Validating Hypotheses: Big data often leads to developing hypotheses about consumer behaviour. Primary research can validate or challenge these hypotheses, ensuring that decisions are based on accurate and comprehensive information. For instance, if big data indicates a decline in product usage, primary research can help identify whether this is due to changing consumer preferences, increased competition, or other factors.
5. Driving Innovation: Combining primary research with big data fosters innovation by revealing unmet needs and opportunities for new products or services. Qualitative insights can inspire creative solutions, while quantitative data can validate the potential market demand. This integrated approach helps companies stay ahead of trends and continuously evolve to meet consumer expectations.
6. Building Stronger Customer Relationships: Understanding customers on a deeper level strengthens the relationship between brands and consumers. By humanising data through primary research, companies can engage with their audience more authentically, addressing their needs and concerns meaningfully. This builds trust, enhances brand loyalty, and encourages long-term customer retention.
Integrating primary research with big data transforms raw information into actionable insights. It enables brands to understand what consumers do and why they do it, leading to more effective marketing strategies, personalised experiences, and stronger customer relationships.
Longitudinal Methodologies for Deep Insights
Definition and Importance of Longitudinal Studies
Longitudinal studies are research methods that involve repeated observations of the same variables over extended periods. Unlike cross-sectional studies, which provide a snapshot at a single point in time, longitudinal studies track changes and developments, offering a dynamic view of behaviours and trends. This approach is crucial for understanding how and why behaviours evolve, providing deep insights into patterns and causality that might be missed in shorter-term studies.
Longitudinal studies are important because they can capture the temporal dimension of behaviour. They help researchers identify not just correlations but potential causative factors, revealing how external events, personal experiences, and changes in circumstances influence consumer actions over time. This rich, contextual information is invaluable for developing strategies that respond to customers’ real and evolving needs.
Passive Tracking: How It Works and Its Benefits
Passive tracking involves the unobtrusive collection of consumer data as they go about their daily activities. By installing tracking software on devices such as smartphones, researchers can gather continuous data on behaviours like app usage, online browsing, and location movements without active participation from the subjects.
How It Works:
Data Collection: Participants consent to have tracking software installed on their devices. This software collects data in the background, recording activities such as website visits, app usage duration, and geolocation.
Data Analysis: The collected data is then analysed to identify patterns and trends. Advanced analytics tools can segment the data by time, location, or user demographics, providing detailed insights into consumer behaviour.
Follow-Up Interviews: To add qualitative depth, researchers can conduct follow-up interviews with participants to explore the motivations behind their tracked behaviours. This combination of quantitative and qualitative data enriches the insights gained from passive tracking.
Benefits:
Real-Time Data: Passive tracking provides real-time data, capturing behaviours as they occur rather than relying on recall, which can be biased or inaccurate.
Contextual Insights: Data collection’s continuous nature helps build a comprehensive picture of consumer behaviour, including the context in which actions occur.
Low Burden: Since it does not require active participation, passive tracking minimises the burden on participants, leading to higher compliance and more accurate data.
Online Communities: Engaging Consumers in Real-Time
Online communities are digital platforms where participants can engage in discussions, share experiences, and complete tasks related to a research study. These communities are dynamic and interactive, providing real-time insights into consumer behaviours, attitudes, and preferences.
How It Works:
Community Setup: Researchers create a dedicated online platform where participants can join and interact. This platform is typically designed to be user-friendly and engaging, with various features like discussion boards, polls, and multimedia sharing options.
Engagement Activities: Participants are given tasks such as posting about their daily routines, sharing photos and videos, or discussing specific topics. These activities are designed to elicit rich, qualitative data.
Moderation and Analysis: Researchers moderate the community to ensure active participation and meaningful discussions. The data generated is then analysed to identify key themes and insights.
Benefits:
Depth of Insight: Online communities facilitate in-depth discussions and allow participants to express their thoughts and feelings in their own words, providing rich qualitative data.
Real-Time Interaction: The immediacy of online communities enables researchers to capture insights as events unfold, leading to more accurate and timely data.
Participant Engagement: The interactive nature of online communities keeps participants engaged, leading to higher quality and more comprehensive data.
Quantitative Research: Filling in the Gaps
Role of Quantitative Research in Complementing Big Data
Quantitative research complements big data by providing the statistical backbone needed to validate hypotheses and uncover broader market trends.
While big data excels in identifying patterns through large datasets, it often lacks the granularity to understand the underlying reasons behind these patterns. Quantitative research fills this gap by offering structured, numerical insights that can be generalised to a larger population.
By integrating quantitative research with big data, brands can achieve a more holistic understanding of consumer behaviour. This combination verifies big data findings, ensuring that decisions are based on robust and comprehensive information. For instance, if big data reveals a decline in product usage, a quantitative survey can help pinpoint whether this is due to changing consumer preferences, increased competition, or other factors.
Quantitative research also enhances segmentation by providing detailed demographic, psychographic, and behavioural data. This enriched segmentation enables more precise targeting, ensuring marketing strategies resonate with the intended audience. Moreover, quantitative methods can uncover market opportunities and potential areas for innovation by identifying unmet needs and preferences.
Bringing Customers to Life with Qualitative Research
Techniques for Humanising Data through Qualitative Research
Qualitative research delves into the depths of consumer behaviour, exploring the emotions, motivations, and contexts behind actions. Unlike quantitative data, which provides breadth, qualitative data offers depth, bringing the human element to life. Techniques such as in-depth interviews, focus groups, and ethnographic studies allow researchers to gather rich, detailed insights that illuminate the complexities of consumer behaviour.
Using Interviews and Focus Groups Effectively
Interviews:
In-Depth Interviews: Conduct one-on-one interviews to explore individual perspectives and experiences. This method allows for a deep dive into personal motivations and feelings.
Structured vs. Unstructured: Choose between structured interviews with set questions or unstructured interviews that allow for more open-ended responses, depending on your research goals.
Probing Questions: Use probing questions to uncover deeper insights, asking participants to elaborate on their answers and provide examples.
Focus Groups:
Group Dynamics: Leverage the group setting to stimulate discussion and generate diverse perspectives. The interaction among participants can reveal insights that might not emerge in individual interviews.
Moderator Role: A skilled moderator is crucial for guiding the discussion, ensuring all participants contribute, and keeping the conversation on track.
Themes and Patterns: Analyse the discussions to identify common themes and patterns that reflect broader consumer attitudes and behaviours.
Creating Detailed Personas and Customer Journeys
Personas:
Definition: Create detailed personas representing different segments of your customer base. Each persona should include demographic information, behaviours, needs, motivations, and pain points.
Real-Life Data: Use data from qualitative research to inform your personas, ensuring they are based on real insights rather than assumptions.
Empathy Maps: Develop empathy maps to visualise what each persona thinks, feels, says, and does, providing a holistic view of their experience.
Customer Journeys:
Mapping the Journey: Chart the customer journey, mapping out the key touchpoints and experiences from initial awareness to post-purchase.
Pain Points and Opportunities: Identify pain points and opportunities at each stage of the journey, using qualitative insights to understand the emotional context behind customer actions.
Improvement Strategies: Use the journey map to develop strategies for improving the customer experience, addressing specific pain points, and enhancing positive interactions.
Visualising Data to Create Emotional Connections
Visualising qualitative data helps translate insights into compelling narratives that resonate with stakeholders. Techniques include:
Infographics: Use infographics to present qualitative findings in a visually engaging format, highlighting key themes and patterns.
Storyboards: Create storyboards that depict customer journeys, illustrating the emotions and experiences at each touchpoint.
Quotes and Anecdotes: Incorporate direct quotes and anecdotes from qualitative research to add authenticity and depth to the data, making it more relatable and impactful.
Final Thoughts
The Future of Data Humanisation in Marketing
As we move further into the digital age, the need to humanise data becomes increasingly critical. The future of data humanisation in marketing lies in the seamless integration of big data analytics with rich, qualitative insights, creating a holistic understanding of consumers beyond surface-level metrics.
In the coming years, we expect to see a greater emphasis on consumer behaviour’s emotional and psychological aspects. Marketers must dig deeper, exploring the complex interplay of factors driving decision-making. Advanced AI and machine learning algorithms, combined with immersive qualitative techniques, will enable brands to capture and analyse the subtleties of human emotions and motivations more accurately than ever before.
Add to this, the rise of ethical consumerism and increased demand for transparency will push brands to prioritise genuine, empathetic engagement with their customers. Consumers are no longer satisfied with generic, one-size-fits-all marketing approaches. They crave personalised experiences that resonate with their values and aspirations. Brands that successfully humanise their data will stand out by fostering authentic connections, building trust, and demonstrating a profound understanding of their customers’ needs and desires.
Investing in primary research is not just a strategic advantage; it’s a necessity for brands aiming to thrive in today’s competitive marketplace. The insights gained from primary research are invaluable, offering a window into the hearts and minds of consumers that big data alone cannot provide. Yet, many organisations still underinvest in this crucial area, often due to perceived costs or a lack of understanding of its importance.
Brands must recognise that the cost of not investing in primary research far outweighs the investment itself. Without a deep, nuanced understanding of their audience, companies risk making misguided decisions, missing market opportunities, and failing to address customer pain points effectively. In contrast, those who embrace primary research can anticipate trends, innovate based on real consumer needs, and create marketing strategies that truly resonate.
The future of marketing lies in the art and science of data humanisation. Brands that invest in primary research will be better equipped to navigate the complexities of the modern consumer landscape. They will understand what their customers do and, more importantly, why they do it. This profound understanding will drive innovation, foster stronger relationships, and ultimately secure a competitive edge in an ever-evolving market. It’s time for brands to embrace the power of primary research and make the leap towards a more empathetic, customer-centric approach to marketing.
Urban mobility is an increasingly lucrative market, attracting significant investment from major brands such as Audi, Baidu, and Amazon. However, the key to unlocking its full potential extends beyond technological advancements.
While innovations like autonomous vehicles and ride-sharing platforms are crucial, they must be paired with a deep understanding of cultural nuances and the specific needs of each city.
Recent advancements in urban mobility highlight the need for tailored solutions. A recent study by McKinsey & Company emphasizes the importance of considering local cultural factors, while the International Transport Forum’s report stresses the necessity of city-specific approaches.
Our comprehensive research with commuters in various global cities further supports these findings, underscoring that technological leadership must go hand-in-hand with cultural understanding.
The Research: Methodology and Findings
Research Overview
Kadence conducted an extensive study involving over 5000 commuters from 13 diverse cities worldwide. The cities included in the research were:
London
Berlin
Singapore
Shanghai
Jakarta
Manila
Ho Chi Minh City
New York
Los Angeles
Hong Kong
Mumbai
Delhi
Tokyo
The objective was to capture a wide range of commuter experiences and expectations to ensure the findings were applicable across various urban contexts.
Concepts Tested
The study explored several forward-thinking urban mobility concepts to assess commuter interest and acceptance. The concepts tested included:
Air Taxis: Designed to reduce travel time and alleviate congestion by providing aerial commuting options.
Environmentally Friendly Commuting Schemes: Initiatives aimed at rewarding commuters for eco-friendly practices, such as using public transport, cycling, or walking.
Premium Car Hire: High-end, on-demand car services offering luxury and convenience for urban travel.
Shared Autonomous Vehicles: Self-driving cars that offer shared rides, reducing the number of vehicles on the road and improving traffic flow.
Smart Public Transport Systems: Enhanced public transport options featuring real-time tracking, improved connectivity, and seamless payment systems.
Micro-mobility Solutions: Personal transport options like electric scooters and bikes designed for short urban trips.
Mobility-as-a-Service (MaaS): Integrated platforms providing various transport modes, including public transit, car-sharing, and bike-sharing, through a single subscription.
The study aimed to understand commuters’ preferences, expectations, and concerns by presenting these concepts to them. The findings revealed the importance of considering technological innovation and cultural context in developing effective urban mobility solutions.
Urban Mobility by Region
USA: New York and Los Angeles
Mobility Challenges and Opportunities: Due to their size, density, and urban sprawl, New York and Los Angeles present unique mobility challenges and opportunities. New York is known for its extensive public transportation system but struggles with congestion and aging infrastructure. Los Angeles, on the other hand, is car-dependent, facing significant traffic and pollution issues.
Commuter Preferences: Commuters in these cities strongly prefer luxury and convenience. A study by Deloitte found that 58% of New Yorkers and 65% of Los Angeles residents would pay extra for premium car hire services that offer comfort and convenience. The focus in these cities is on reducing travel time and enhancing the commuting experience through high-end services.
Supporting Data:
New York: The Metropolitan Transportation Authority (MTA) reports that daily subway ridership is around 2.4 million, highlighting the city’s reliance on public transit despite its challenges.
Los Angeles: According to the Los Angeles Department of Transportation, the average commuter spends 119 hours per year in traffic, underlining the need for efficient and luxurious alternatives.
UK: London
Unique Infrastructure: London offers a unique blend of historical and modern infrastructure. Its extensive public transportation network includes the Underground, buses, and a growing cycling infrastructure. The city’s commitment to sustainability is evident in its policies promoting green commuting options.
Focus on Sustainability: A report by Transport for London indicates that 36% of Londoners use public transport as their primary mode of travel, and 23% use active modes like walking and cycling. London’s Ultra Low Emission Zone (ULEZ) and congestion charge are key initiatives to reduce pollution and encourage sustainable transport.
Supporting Data:
Public Transport Use: TfL data shows that bicycle journeys increased by 22% from 2019 to 2022.
Sustainability Initiatives: The UK Department for Transport reports that London’s ULEZ has reduced harmful nitrogen dioxide levels by 44% in central London.
South East Asia: Singapore, Jakarta, Manila, Ho Chi Minh City
Mobility Challenges and Cultural Attitudes: South East Asia presents diverse mobility challenges and cultural attitudes. Cities like Singapore have advanced public transport systems, while Jakarta, Manila, and Ho Chi Minh City face congestion and inadequate infrastructure.
Singapore: Singapore is known for its efficient and orderly public transportation system. A 2023 study by the Singapore Land Transport Authority (LTA) found that 76% of residents use public transport daily, reflecting a cultural preference for efficiency and orderliness.
Jakarta: Jakarta’s traffic congestion is a significant issue. According to the Jakarta Transportation Agency, the average commuter spends 2 hours in traffic daily. A study by the Asian Development Bank highlights the need for practical and scalable solutions in such environments.
Manila: Manila faces challenges with overcrowded and unreliable public transport. The World Bank reports that only 20% of residents can access reliable public transit. Due to economic constraints, Commuters prefer affordable solutions.
Ho Chi Minh City: Ho Chi Minh City is rapidly urbanizing, and mobility solutions must adapt to these changes. The Vietnam Ministry of Transport report indicates a growing preference for motorbikes and a need for better public transport options.
Supporting Data:
Public Transport Use in Singapore: LTA data shows a 15% increase in public transport ridership from 2020 to 2023.
Traffic in Jakarta: The Asian Development Bank report highlights that improving public transport could reduce traffic congestion by 30%.
Manila’s Transit Issues: The World Bank suggests that investments in infrastructure could improve accessibility for 10 million residents.
Urbanization in Ho Chi Minh City: The Vietnam Ministry of Transport reports a 10% annual increase in motorbike usage, emphasizing the need for diversified transport solutions.
These findings underscore the importance of tailoring urban mobility solutions to each city’s specific cultural and infrastructural context. Brands must consider these nuances to develop effective and appealing mobility options.
Eastern vs. Western Perspectives
Premium Car Hire Preferences: The research indicates significant differences in the acceptance of premium car hire services between Eastern and Western markets. In Western cities like New York and Los Angeles, there is a higher acceptance and demand for luxury commuting options. This preference aligns with cultural values that emphasize convenience and personal status. A survey by PwC found that 62% of commuters in the United States are willing to pay a premium for enhanced comfort and convenience during their commutes.
In contrast, Eastern cities like Tokyo and Singapore favor premium car hire services more conservatively. Cultural values in these regions prioritize practicality and efficiency over luxury. According to a 2023 study by the Singapore Management University, only 25% of commuters in Singapore are interested in premium car hire services, with the majority preferring reliable and efficient public transportation options.
Cultural Influences:
Western Markets: Cultural values such as individualism and status play a significant role in commuter preferences. The desire for convenience and the ability to make a statement through one’s choice of transport are prominent. This is reflected in the higher demand for premium services.
Eastern Markets: Cultural values such as collectivism and practicality influence commuter choices. There is a stronger emphasis on community welfare and efficient resource use, which translates to a preference for public transportation and cost-effective commuting solutions.
Global Trends and Statistics
Urban Mobility Trends: Global urban mobility is evolving, with significant trends emerging worldwide. The International Transport Forum (ITF) reports a steady increase in adopting various urban mobility solutions to address congestion, sustainability, and efficiency.
Latest Statistics:
Electric Vehicles (EVs): The International Energy Agency (IEA) states that the global stock of electric cars surpassed 10 million units in 2022, with China, Europe, and the United States leading the market. This trend indicates a growing shift towards more sustainable urban mobility solutions.
Shared Mobility: According to a report by Frost & Sullivan, the global car-sharing market is expected to grow at a CAGR of 16.4% from 2021 to 2026, driven by increasing urbanization and changing consumer attitudes towards car ownership.
Public Transport Use: The World Bank highlights that cities with well-developed public transportation systems, such as Tokyo, Singapore, and New York, continue to see high ridership levels. For instance, Tokyo’s public transport system serves over 40 million passengers daily, reflecting the importance of efficient and reliable transit options.
Environmental Concerns: A recent study by the World Resources Institute underscores the importance of integrating environmentally friendly practices in urban mobility. Cities like Copenhagen and Amsterdam lead by example with extensive cycling infrastructure and policies promoting green commuting.
Technological Advancements: Autonomous vehicles and smart public transport systems are at the forefront of urban mobility innovation. A report by McKinsey & Company projects that by 2030, autonomous vehicles could account for up to 15% of all new cars sold, driven by advancements in technology and consumer demand for safer, more efficient transport options.
These statistics and trends underscore the dynamic nature of urban mobility and the critical role of cultural understanding in shaping effective solutions. Brands must navigate these cultural differences and leverage global trends to create urban mobility solutions that resonate with diverse commuter preferences.
Implications for Brands
Strategic Importance of Cultural Understanding
Nuanced Approach: Understanding cultural nuances is paramount for brands entering the urban mobility market. A one-size-fits-all strategy is unlikely to succeed due to commuters’ diverse needs and preferences across cities and regions. Brands must adopt a tailored approach, considering local cultural values, commuting behaviours, and infrastructural challenges.
Conduct Localised Research:
Invest in market research to gather insights into commuters’ specific needs and preferences in each target city. This involves understanding the local cultural context, existing transportation infrastructure and common pain points commuters face.
Example: Kadence International’s study revealed that Tokyo commuters prioritise efficiency and practicality, while New Yorkers value luxury and convenience.
Collaborate with Local Stakeholders:
Partner with local governments, transportation authorities, and community organisations to develop solutions that align with regional policies and commuter needs. This collaboration can help in navigating regulatory challenges and gaining local support.
Example: Uber worked closely with city officials in London to comply with local regulations and enhance its ride-sharing services to meet the city’s sustainability goals.
Customise Offerings:
Develop mobility solutions that cater to each market’s unique cultural and infrastructural context. This may involve offering a range of services, from premium car hire in Western cities to efficient public transport integrations in Eastern cities.
Example: Didi Chuxing in China offers various services, from ride-hailing to bike-sharing, tailored to the diverse transportation needs of Chinese commuters.
Leverage Technology:
Utilise advanced technologies like AI and big data to analyze commuter patterns and preferences. This data-driven approach enables brands to continuously adapt and refine their offerings to better serve different markets.
Example: Google Maps leverages AI to provide real-time traffic updates and optimised routes, enhancing the commuting experience for users worldwide.
Case Examples in Urban Mobility
Uber:
Location: Global
Strategy: Uber tailors its services to meet local needs. In India, UberAUTO was introduced, allowing commuters to book auto-rickshaws through its app and addressing the demand for affordable and convenient transportation. In the United States, UberBLACK caters to users seeking premium travel experiences.
Outcome: Uber has maintained a strong presence in diverse markets by adapting its offerings to local preferences.
Grab:
Location: Southeast Asia
Strategy: Grab has successfully localised its services across Southeast Asia. In Singapore, it emphasises efficiency and integrates with the city’s public transport system. In Jakarta, it offers motorbike taxis to navigate heavy traffic.
Outcome: Grab’s culturally informed approach has made it a leading mobility service provider in Southeast Asia, with a strong user base and high market penetration.
Lime:
Location: United States, Europe
Strategy: Lime provides micro-mobility solutions like e-scooters and bikes tailored to the urban landscapes of cities such as Paris, Berlin, and San Francisco. Lime has resonated well with environmentally conscious commuters by addressing the last-mile connectivity issue and promoting eco-friendly transportation.
Outcome: Lime’s focus on sustainability and convenience has led to widespread adoption in cities prioritising green transportation options.
By understanding and addressing the cultural nuances of each market, brands can develop effective urban mobility solutions that resonate with local commuters. This culturally informed approach enhances user satisfaction and fosters long-term success in the competitive urban mobility landscape.
Embracing Diversity: The Path to Urban Mobility Success
Cultural Understanding is Crucial: Urban mobility solutions must go beyond technological advancements. Brands must incorporate a deep understanding of cultural nuances to meet the unique needs and preferences of commuters in different cities. This approach is essential for developing successful and sustainable urban mobility strategies.
City-Specific, Culturally Informed Approach: The findings from Kadence’s study and supporting research highlight that a one-size-fits-all approach is ineffective. Instead, brands must adopt a tailored strategy that considers each market’s distinct cultural and infrastructural contexts. By doing so, they can create solutions that resonate with local commuters and address their specific challenges.
Brands must leverage comprehensive insights and tailored strategies to unlock the full potential of urban mobility opportunities. Kadence International is here to help you navigate this complex landscape. Our detailed research and expertise can guide you in developing culturally informed mobility solutions that truly connect with your target markets.
Commuting is a universal experience that many of us share. Whether it’s the daily drive to work, catching the bus, or riding a bike, we all have our stories and complaints about our commutes. But have you ever wondered how your commute compares to other parts of the world?
This article compares global commuting patterns and reveals new opportunities for brands. Our findings are based on Kadence International’s latest research, which surveyed over 5,000 commuters across 13 global cities.
The Study
Kadence International conducted a comprehensive study involving over 5,000 commuters from 13 diverse cities worldwide. The cities included in the research were London, Singapore, Shanghai, Jakarta, Manila, Ho Chi Minh City, New York, Los Angeles, Hong Kong, Mumbai, Delhi, Tokyo, and Berlin.
Understanding these commuting patterns is crucial for brands looking to innovate in the urban mobility space. By examining how people commute in different parts of the world, we can uncover valuable insights and opportunities for developing better, more efficient transportation solutions.
Research Methodology
Scope and Sample
To understand global commuting patterns comprehensively, Kadence conducted an extensive survey involving over 5,000 commuters from 13 major cities worldwide. These cities were carefully selected to represent diverse cultural, economic, and infrastructural contexts. The cities included in the study were:
London
Singapore
Shanghai
Jakarta
Manila
Ho Chi Minh City
New York
Los Angeles
Hong Kong
Mumbai
Delhi
Tokyo
Berlin
This broad scope allowed us to capture a wide variety of commuting experiences and preferences, ensuring that our findings are relevant and insightful for a global audience.
Data Collection
The data collection process was designed to gather detailed insights into the commuting behaviours, preferences, and challenges commuters face in each city. The methodology included:
Surveys: We conducted structured surveys with a diverse sample of commuters in each city. The surveys included questions about their daily commuting habits, preferred modes of transport, average commute times, and any specific challenges they faced.
Interviews: In addition to surveys, we conducted in-depth interviews with a subset of commuters to gain deeper qualitative insights. These interviews helped us understand the personal experiences and attitudes that drive commuting behaviours.
Observational Studies: Researchers also carried out observational studies in various transportation hubs within each city. This helped us validate survey responses and get a real-time view of commuting patterns.
Secondary Data: We supplemented our primary research with secondary data from reputable sources, such as government transportation reports, academic studies, and industry publications. This provided additional context and helped triangulate our findings.
By combining these data collection methods, we were able to build a comprehensive picture of commuting across different cities. This robust methodology ensures that our insights are accurate, reliable, and valuable for brands looking to innovate in the urban mobility space.
Commute Duration
Shortest and Longest Commutes:
Our research reveals significant differences in commute durations across the 13 global cities. According to the latest data from the INRIX Global Traffic Scorecard, the average commute times vary widely:
Los Angeles: Commuters in Los Angeles enjoy one of the shortest average commutes, clocking in at approximately 31 minutes each way. This is partly due to the extensive freeway network and the prevalence of car ownership, allowing for relatively faster travel times despite the city’s notorious traffic.
Mumbai: On the other end of the spectrum, commuters in Mumbai face the longest average commute times, with journeys taking around 49 minutes each way. The city’s dense population and heavy traffic congestion contribute to these prolonged travel times, making daily commutes particularly challenging for residents.
Variations in commute times underscore the importance of context-specific solutions in urban mobility planning. Brands aiming to innovate in this space must consider these local differences to effectively address the unique challenges and needs of commuters in each city.
Preferences for Driving and Public Transport
Driving in Los Angeles and New York:
In cities like Los Angeles and New York, driving remains the dominant mode of transport. According to the American Community Survey, a significant majority of commuters in these cities rely on their cars for daily travel:
Los Angeles: Approximately 83% of commuters use their own cars at least three times a week. The city’s car-centric culture and extensive freeway system support this high reliance on personal vehicles.
New York: While public transport is more prevalent in New York than in Los Angeles, around 45% of New Yorkers still commute by car. This preference is partly due to the convenience and flexibility that driving offers despite the city’s extensive subway network.
Jakarta’s Preference for Motorbikes:
In contrast, Jakarta sees a different commuting trend, with a strong preference for motorbikes. Recent data from the Jakarta Transportation Agency indicates that:
Motorbikes: 61% of Jakarta’s commuters regularly use motorbikes for their daily travel. This preference is driven by the city’s severe traffic congestion, where motorbikes provide a faster and more flexible way to navigate the gridlock.
Public Transport in Tokyo:
Tokyo stands out for its high usage of public transport. The latest data from the Tokyo Metropolitan Government shows that:
Trains and Subways: 65% of Tokyo’s commuters use the train system, renowned for its efficiency, punctuality, and coverage. The extensive network allows for quick and reliable travel across the city.
Car Usage: Only 13% of Tokyo residents use their own cars for commuting, significantly lower than the global average of 48%. High parking costs, traffic congestion, and excellent public transportation options influence this low car usage rate.
Commuting as “Me Time”
Many commuters worldwide view commuting time as “me time.” However, this time varies significantly across cities, reflecting local cultures, infrastructure, and personal habits. Updated research from Statista and various local surveys provide insights into these trends.
Working During Commutes:
London and Mumbai: Commuters in London and Mumbai are more likely to use their commute time for work-related activities. According to a recent Statista survey, 29% of London commuters and 34% of Mumbai commuters use this time to catch up on emails or prepare for meetings. Reliable internet connectivity on trains and buses in these cities facilitates this productivity.
Hong Kong: In contrast, as per a local transport survey, only 5% of Hong Kong commuters report working during their commute. This lower percentage may be attributed to cultural differences and the preference for separating work and personal time.
Online Shopping:
Mumbai, Singapore, and London: Online shopping during commutes is a notable trend in these cities. The Statista survey indicates that 24% of Mumbai commuters, 21% of Singapore commuters, and 15% of London commuters shop online while travelling. This behaviour is driven by the convenience of mobile shopping and the desire to maximise free time.
Jakarta: According to the latest data from the Jakarta Transportation Agency, only 5% of Jakarta commuters shop online during their commute. Commuters in Jakarta focus more on navigating through heavy traffic rather than engaging in online activities.
Internet Browsing and Social Media:
Hong Kong: According to the Hong Kong Transport Department, 68% of commuters in Hong Kong browse the internet or check social media during their commute. This high percentage reflects the city’s advanced mobile infrastructure and high smartphone penetration.
London: Transport for London reported that 41% of London commuters engage in similar activities. While still substantial, this lower figure compared to Hong Kong may be due to varying levels of internet accessibility and personal preferences.
These findings show that commuting time is valued differently across the globe. Brands can leverage these insights to tailor their services and marketing strategies, catering to commuters’ unique behaviours and preferences in each market. Understanding these patterns can lead to more effective engagement and innovative solutions that enhance the commuting experience.
Infrastructure and Technology Use
Internet and social media use during commutes varies significantly between cities, reflecting differences in infrastructure, cultural habits, and technological adoption.
Hong Kong:
Hong Kong commuters are among the most active internet and social media users during their commutes. According to the We Are Social and Hootsuite Digital Report, 68% of Hong Kong commuters browse the internet or check social media on their way to work. This high level of activity is supported by Hong Kong’s advanced mobile infrastructure, which offers widespread high-speed internet access and reliable connectivity even in transit.
Mobile Penetration: Hong Kong’s mobile penetration rate is over 92%, one of the highest in the world, which facilitates easy access to online content during commutes.
Internet Speed: The average mobile internet speed in Hong Kong is around 54 Mbps, ensuring that commuters can stream, browse, and interact without significant delays.
London:
In London, the percentage of commuters using the internet or social media during travel is lower than in Hong Kong but still significant. Transport for London (TfL) and the Digital 2023 report by We Are Social and Hootsuite indicate that 41% of London commuters engage in internet browsing or social media activities during their commutes.
Mobile Penetration: London also boasts a high mobile penetration rate, with about 88% of the population owning smartphones, facilitating access to online activities during commutes.
Internet Speed: London’s average mobile internet speed is around 44 Mbps, sufficient for browsing and social media use, although it is slightly lower than in Hong Kong.
Implications for Brands:
These differences in internet and social media usage during commutes present unique opportunities for brands. In cities like Hong Kong, where a high percentage of commuters are online, brands can leverage digital advertising, social media campaigns, and mobile-friendly content to effectively engage with commuters. In London, while the engagement is slightly lower, a substantial audience can still be reached through targeted online initiatives.
Understanding these patterns allows brands to tailor their marketing strategies to the specific behaviours and preferences of commuters in each city, enhancing engagement and creating more impactful campaigns.
Emerging Trends
The commuting landscape has evolved significantly since the original study, driven by factors such as the COVID-19 pandemic and the rise of remote work. Recent studies and reports provide updated insights into these changes and highlight new trends in global commuting behaviours.
Impact of Remote Work:
The COVID-19 pandemic has fundamentally altered commuting patterns worldwide. With many companies adopting remote or hybrid work models, the frequency and nature of commuting have changed. According to a 2023 report by Global Workplace Analytics, about 25-30% of the workforce in advanced economies now works remotely multiple days a week, significantly reducing the daily commute.
Reduced Commuting Frequency: The reduction in daily commuting has led to decreased traffic congestion and lower demand for public transportation in many cities. For instance, the Global Traffic Report by TomTom indicates a 15% reduction in peak traffic congestion levels in major cities like New York and London compared to pre-pandemic levels.
Shift in Commuting Times:
Flexible Hours: With flexible working hours becoming more common, traditional peak commuting times have become less pronounced. A study by the University of California, Berkeley found that commuters increasingly travel outside the traditional rush hours, leading to a more even distribution of traffic throughout the day.
Increased Use of Micro-Mobility:
Rise of Biking and Scooters: There has been a notable increase in the use of micro-mobility options, such as bicycles and electric scooters. According to a report by the International Transport Forum, cities like Paris, Berlin, and San Francisco have seen a 20-30% increase in bike and scooter usage as commuters seek alternative, socially-distanced modes of transport.
Public Transport Adaptations:
Health and Safety Measures: Public transportation systems worldwide have implemented enhanced health and safety measures to address commuters’ concerns. A survey by the International Association of Public Transport found that 70% of transit agencies have introduced increased cleaning protocols, contactless payment options, and social distancing measures to restore commuter confidence.
These emerging trends underscore the dynamic nature of commuting behaviours and highlight the need for brands to stay informed and adaptable. By understanding these shifts, brands can develop innovative mobility solutions that cater to commuters’ evolving needs and preferences in a post-pandemic world.
Engaging with Commuters
Contactless and Mobile Payments:
The adoption of contactless and mobile payment systems in public transportation has surged. Global contactless transaction values are expected to reach $6 trillion by 2024. Brands can capitalise on this trend by integrating seamless payment solutions into their services.
Smart Mobility Hubs:
Mobility hubs integrating various modes of transport (bikes, scooters, buses, and trains) are gaining traction. These hubs provide a seamless transition between different transportation modes. A recent McKinsey & Company study indicates that smart mobility hubs can reduce commuting time by up to 20%.
Sustainable Mobility Solutions:
There is a growing demand for sustainable commuting options. Electric vehicle (EV) adoption is increasing, with BloombergNEF predicting EVs will constitute 58% of new passenger car sales by 2040. Brands can invest in EV infrastructure and promote green commuting initiatives.
Personalised Commuting Services:
Using AI and big data, brands can offer personalised commuting services catering to individual preferences. For instance, predictive analytics can optimise travel routes and schedules, enhancing the commuting experience.
Regional Analysis
USA (New York and Los Angeles):
Driving Habits: The American Community Survey reports that 83% of Los Angeles commuters use their own cars regularly, while 45% of New Yorkers commute by car. Despite a reduction in peak congestion due to remote work, personal vehicle use remains high.
Public Transport Usage: In New York, public transport usage has slightly declined, with 55% of commuters now using it regularly, down from 62% pre-pandemic. Los Angeles continues to struggle with low public transport adoption, with only 25% of commuters using it frequently.
New Commuting Trends: The rise of remote work has led to a more distributed commuting pattern, reducing peak hour congestion. There is also increased interest in micro-mobility options, with bike and scooter usage growing by 15% in both cities.
UK (London):
Sustainable Transport Initiatives: London has implemented several sustainable transport initiatives, including the Ultra Low Emission Zone (ULEZ) and expanded cycling infrastructure. Transport for London says these measures have reduced vehicle emissions by 44% and increased cycling by 22%.
Commuter Behaviours: A recent survey by the UK Department for Transport shows that 36% of Londoners primarily use public transport, while 23% walk or cycle. There is a growing trend towards active commuting, with more Londoners opting for bikes and e-scooters.
South East Asia (Singapore, Jakarta, Manila, Ho Chi Minh City):
Singapore: Efficient Public Transport: Singapore’s public transport system is highly efficient, with 76% of commuters using it daily (Singapore Land Transport Authority). The government’s investment in smart technology and seamless payment systems has enhanced the commuting experience.
Jakarta: Motorbike Dominance: Due to severe traffic congestion, 61% of Jakartan commuters use motorbikes. The Jakarta Transportation Agency reports that recent infrastructure projects aim to improve public transport usage.
Manila: Overcrowded Public Transport: Only 20% of Manila commuters can access reliable public transport. Brands have a significant opportunity to develop affordable and efficient mobility solutions.
Ho Chi Minh City: Rapid Urbanisation: Ho Chi Minh City is experiencing rapid urbanisation, with a 10% annual increase in motorbike usage (Vietnam Ministry of Transport). There is a growing need for integrated and sustainable transport options.
Summary of Key Takeaways
Understanding Global Commuting Patterns: The findings from Kadence International’s comprehensive study and recent insights highlight the significant differences in commuting behaviours across various global cities. From the shortest commutes in Los Angeles to the longest in Mumbai and from the high car usage in the US to the dominant motorbike culture in Jakarta, these patterns reveal crucial information about regional preferences and challenges.
Importance for Brands: Understanding these global commuting patterns is essential for brands looking to innovate in the urban mobility space. It allows them to develop tailored solutions that resonate with local commuters’ unique needs and preferences. The shift towards remote work, increased adoption of micro-mobility options, and the growing demand for sustainable transport solutions underscore the need for a culturally informed approach to urban mobility.
To harness the full potential of these insights, we encourage brands to engage with Kadence International. Our team offers detailed research findings and tailored recommendations to help you navigate the complex urban mobility landscape.
Have you ever been in a meeting where you felt everyone was on the same page, only to discover later that each person had a completely different vision of the idea? This common issue stems from the fact that we all have unique mental images and interpretations. A powerful solution to this problem is displayed thinking.
Displayed thinking, a concept popularised by Mike Vance from Disney, involves capturing and sharing ideas visually during discussions. This approach can significantly enhance communication and idea generation. In market research, clarity and collaboration are crucial; displayed thinking can transform how teams develop and refine ideas. By making thoughts visible and accessible to everyone, displayed thinking ensures that all participants have a shared understanding, leading to more effective and innovative solutions.
The Problem with Individual Mental Images
Diverging Perceptions
Imagine the word “chair.” For some, this might conjure an image of a plush, padded armchair, perfect for relaxing with a book. For others, it might bring to mind a sleek, modern office chair with wheels and adjustable height. Someone else might think of a simple wooden dining chair. This variation arises from our individual experiences and contexts. Our personal history, preferences, and environments shape how we visualise even the most straightforward concepts.
This divergence becomes even more pronounced with complex ideas. For example, when thinking about a “shop,” one person might imagine a small, cosy boutique, while another picture a large, bustling supermarket. These different mental images can lead to significant misunderstandings when discussing ideas or projects.
Communication Breakdown
These differing mental images can cause communication breakdowns in meetings. When everyone assumes that others share their vision, the results can be frustrating and counterproductive. For instance, during a project discussion, one team member might propose a “modern design” for a product, envisioning sleek lines and minimalistic features. However, another team member might interpret “modern design” as something entirely different, perhaps focusing on futuristic elements and bold colours.
This misalignment can lead to wasted time and resources as the team struggles to reconcile their differing visions. According to a study by the International Journal of Project Management, miscommunication is one of the leading causes of project failure, contributing to 56% of projects not meeting their original goals. This highlights the critical need for clear and shared understanding in collaborative work.
Displayed thinking addresses this issue by making ideas visible and concrete. Everyone can see the same thing when ideas are drawn out or otherwise visually represented. This reduces the chances of misinterpretation and ensures that all team members are aligned in their understanding.
The Concept of Displayed Thinking
How It Works
Displayed thinking involves capturing and sharing ideas visually during discussions. This method utilises visual aids like whiteboards, flipcharts, and digital tools to make ideas visible to everyone involved. Here’s how it works:
Visual Aids: In a meeting, participants use whiteboards, flipcharts, or digital screens to write down or draw their ideas. This can include sketches, diagrams, bullet points, and flowcharts.
Interactive Discussion: As ideas are presented, others can add their thoughts, make modifications, or connect related concepts directly on the visual aid. This creates a dynamic, interactive discussion where everyone can see the development of ideas in real time.
Digital Tools: With technological advancements, digital tools like interactive whiteboards and tablet apps facilitate displayed thinking. These tools allow for easy saving, sharing, and editing of visual notes, making them accessible even in remote or hybrid meetings.
For example, in a brainstorming session about a new product design, one team member might draw an initial sketch on a whiteboard. Others can then suggest changes or additions visually represented on the same board. This collaborative approach ensures that everyone’s ideas are visible and can be built upon collectively.
Transition from Remote to Direct Memory
Psychologists refer to our individual memories and mental images as “remote memories” because they are private and inaccessible to others. Displayed thinking transforms these remote memories into “direct memory,” which is shared and accessible to all participants in a discussion.
Here’s how this transition happens:
Making Ideas Visible: When ideas are visually displayed, they move from being private thoughts to shared, concrete visuals. This allows everyone to see and understand the same information.
Shared Understanding: As participants contribute to the visual representation of ideas, a collective understanding is built. This shared direct memory ensures that all team members are on the same page.
Enhanced Communication: By making thoughts and ideas visible, displayed thinking reduces misunderstandings and ensures more transparent communication. This is particularly important in complex projects where precise understanding is crucial.
Displayed thinking bridges the gap between individual perceptions and collective understanding. Making mental images visible and tangible enhances collaboration and helps teams develop more coherent and aligned ideas. As a result, projects are more likely to succeed, and communication becomes more effective and efficient.
The 7 Benefits of Displayed Thinking
Contextual
Displayed thinking provides context and clarity by visually arranging ideas. When ideas are laid out on a whiteboard or flipchart, their relationships and hierarchies become apparent. This visual context helps participants understand how concepts fit together and their relative importance. For example, a project timeline on a whiteboard allows everyone to see the sequence of tasks and deadlines, making it easier to grasp the project’s flow and dependencies.
Inspirational
Seeing ideas visually can spark new thoughts and enhance creativity. Visual representations can trigger associations and connections that might not emerge through verbal discussion alone. For instance, a mind map on a flipchart can reveal connections between concepts, inspiring team members to build on each other’s ideas. A study published in the Journal of Business Research states that visual brainstorming techniques can significantly boost creativity and idea generation.
Editable
One significant advantage of displayed thinking is the ease of refining and editing ideas. Visual aids like whiteboards and flipcharts allow for quick modifications. A line can be redrawn, an idea can be moved, or new information can be added seamlessly. This flexibility ensures that ideas can evolve dynamically during discussions, leading to more precise and polished outcomes.
Referential
Visual ideas make referencing and discussing concepts more intuitive. Instead of relying on memory or lengthy descriptions, participants can simply point to specific elements on a whiteboard or screen. This ease of reference allows for more detailed and focused discussions. For example, during a product design meeting, pointing to a specific feature on a sketch facilitates a clear and concise conversation about that feature.
Constructive
Visual representation leads to more specific and constructive conversations. Concrete visuals eliminate ambiguity, enabling participants to address particular aspects of an idea. This specificity fosters deeper analysis and more productive discussions. As noted in a study by the Harvard Business Review, teams using visual tools for problem-solving generated more actionable solutions compared to those relying solely on verbal communication.
Collaborative
Displayed thinking promotes collaboration. When ideas are visually represented, participants are encouraged to engage more actively. Writing or drawing on a shared surface fosters eye contact and interaction, reducing distractions from personal devices like notebooks or laptops. This collaborative environment enhances mutual understanding and team cohesion.
Concrete
Finally, visual ideas are concrete and permanent. Once captured on a whiteboard, flipchart, or digital tool, they do not need to be remembered and can be easily referred to later. This permanence not only aids in reducing cognitive load but also serves as a valuable reference for future discussions. According to research by the Cognitive Science Society, visual memory is more robust than verbal memory, making displayed thinking a powerful tool for retaining and recalling information (Johnson-Laird, 2013).
By leveraging these seven benefits, market researchers and professionals can enhance their communication, idea generation, and collaborative efforts, leading to more effective and innovative outcomes.
Practical Applications in Market Research
Internal Meetings
Displayed thinking can transform internal team meetings by enhancing idea generation and problem-solving. Here’s how to implement it effectively:
Set Up Visual Aids: Ensure every meeting space has visual aids like whiteboards, flipcharts, or digital screens. These tools should be easily accessible and ready for use at any time.
Encourage Participation: Invite all team members to contribute visually. Everyone should feel encouraged to participate actively, whether it’s writing down ideas, drawing diagrams, or mapping out processes.
Structure Discussions Visually: Begin meetings by outlining the agenda visually. This could be as simple as writing the key topics on a whiteboard. As the discussion progresses, add notes, diagrams, and other visual elements to capture the flow of ideas.
Facilitate Real-Time Editing: Use the visual aids to refine and edit ideas in real time. For example, if a team member suggests a change to a process, illustrate the change immediately. This ensures that everyone can see and understand the modifications instantly.
Summarise Visually: At the end of the meeting, summarise the key points visually. This helps reinforce the discussion and provides a clear reference for future actions.
Example: During a brainstorming session for a new marketing campaign, the team can use a whiteboard to list potential ideas, draw connections between related concepts, and outline a preliminary plan. This visual approach ensures that everyone’s ideas are visible and can be built upon collaboratively.
Client Meetings
Using displayed thinking tools in client meetings can significantly enhance understanding and collaboration. Here’s how to make the most of these tools:
Prepare Visual Materials: Before the meeting, prepare visual materials that outline crucial points, data, and proposed solutions. This could include charts, graphs, and diagrams that clearly present your research findings and recommendations.
Engage Clients Visually: During the meeting, use these visual aids to guide the discussion. For instance, point to a relevant graph or chart as you explain a market trend. This helps clients visualise the data and grasp the information more effectively.
Interactive Discussion: Encourage clients to interact with the visual materials. If they have questions or suggestions, invite them to annotate the visuals or add their own ideas. This interactive approach fosters a sense of collaboration and ownership.
Clarify Complex Concepts: Use displayed thinking to break down complex concepts into more understandable visual elements. For example, if explaining a complicated market segmentation, use diagrams to show the different segments and their characteristics.
Leave Behind Visual Summaries: Provide clients with visual summaries of the meeting. These can be printed handouts or digital files that capture the key points discussed. This ensures that clients have a clear and concrete reference to review later.
Example: In a meeting to discuss a new product launch, the research team can use a digital whiteboard to present survey results, highlight consumer preferences, and sketch out potential marketing strategies. Clients can see the data in context and participate in refining the proposed strategies, leading to more effective and mutually agreed-upon solutions.
By implementing displayed thinking in internal and client meetings, market researchers can improve communication, foster collaboration, and ensure a clear and shared understanding of ideas and strategies. This approach enhances the effectiveness of meetings and leads to more innovative and successful outcomes.
Tools for Displayed Thinking
Physical Tools
Whiteboards:
Description: Whiteboards are versatile, reusable writing surfaces commonly found in meeting rooms. They allow for easy writing, drawing, and erasing, making them ideal for dynamic discussions.
Benefits: They encourage participation, are easy to update in real time, and provide a large surface for collaborative brainstorming.
Flipcharts:
Description: Flipcharts consist of large pads of paper mounted on an easel. Pages can be flipped over as needed, allowing for a sequential presentation of ideas.
Benefits: They are portable, provide a permanent record of discussions, and help create structured lists and diagrams that can be referenced throughout the meeting.
Corkboards:
Description: Corkboards are bulletin boards made of cork material, allowing users to pin up papers, notes, and other visual aids.
Benefits: They are excellent for displaying and rearranging ideas, visual aids, and other documents. Corkboards provide a tactile way to organise information and encourage hands-on interaction.
Markers and Sticky Notes:
Description: These are essential accessories for whiteboards and flipcharts. Markers allow for colourful writing and drawing, while sticky notes can be used to jot down individual ideas and move them around easily.
Benefits: They enhance the visual appeal of the discussion and make it easy to categorise and reorganise ideas.
Digital Tools
Tablets with Stylus Support:
Examples: Apple iPad with Apple Pencil and the Microsoft Surface with Surface Pen.
Description: Tablets with stylus support allow for digital drawing and note-taking, simulating the experience of writing on paper.
Benefits: They are portable, provide a paperless option for displayed thinking, and make it easy to save, share, and edit visual notes.
Digital Whiteboards:
Example: Google Jamboard, Microsoft Whiteboard.
Description: Digital whiteboards are interactive screens that can be used for drawing, writing, and collaborating in real-time, both in-person and remotely.
Benefits: They facilitate collaboration among geographically dispersed teams, allow for easy integration of multimedia elements, and provide a permanent digital record of the session.
Drawing and Note-Taking Apps:
Example: Procreate, Notability, OneNote.
Description: These apps provide platforms for digital drawing and note-taking, offering a variety of tools for creating visual aids.
Benefits: They offer advanced features like layers, text integration, and export options, making it easy to create professional and shareable visuals.
Mind Mapping Software:
Example: MindMeister, XMind.
Description: Mind mapping software helps create visual representations of ideas, showing the relationships between different concepts.
Benefits: They are handy for brainstorming sessions, enabling users to quickly organise thoughts and see connections that might not be immediately obvious.
Project Management Tools:
Example: Trello, Asana.
Description: While primarily used for project management, these tools often include features for visualising tasks and workflows, such as boards and cards.
Benefits: They help teams track progress visually, assign tasks, and ensure everyone is aligned on project goals and timelines.
By integrating these physical and digital tools into their workflows, market researchers can leverage the benefits of displayed thinking to enhance communication, collaboration, and creativity. These tools provide various options to suit different meeting styles and needs, ensuring that ideas are effectively captured and shared.
Final Thoughts
Displayed thinking isn’t just a proper technique; it’s a game-changer for market researchers and professionals. If you’ve ever felt the frustration of misaligned visions in meetings, adopting displayed thinking can transform those experiences. Industry experiences back this up. According to a study published in the Harvard Business Review, teams that used visual tools for problem-solving reported higher levels of creativity and efficiency—by making ideas visible, displayed thinking bridges the gap between individual perceptions and collective understanding, fostering a more collaborative and innovative environment.
Consider integrating displayed thinking into your workflows. Start by equipping your meeting spaces with essential physical tools like whiteboards and flipcharts. Explore digital tools that offer flexibility and accessibility, such as tablets with stylus support and interactive whiteboards. Embrace the power of visual communication to enhance your meetings, making them more engaging and productive.
By adopting displayed thinking, you will improve communication and idea generation and create a shared vision that aligns team efforts and drives success. Take the first step today and transform how you and your team brainstorm, discuss, and implement ideas. The benefits are clear, and the impact on your projects will be profound.
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We live in a “post-factual” world, where facts often take a back seat to emotions and personal beliefs. Ralph Keyes introduced this concept, known as the “post-truth era,” highlighting how emotional appeal can overshadow factual accuracy. Social media and alternative news sources have accelerated this shift, making it a significant force in society today.
This shift poses a unique challenge for market research. The industry relies on data and facts, but in a post-factual world, simply presenting the truth isn’t enough. Researchers must find ways to blend facts with emotional and contextual delivery to communicate their findings effectively.
Understanding the Post-Factual Era
The term “post-truth era” describes a time when emotional appeal and personal beliefs overshadow factual accuracy. In this era, people often value what feels true over what can be proven true. The rise of social media, alternative media, and satirical news sites like The Onion has significantly contributed to this phenomenon. These platforms spread information quickly, often prioritising sensationalism over accuracy, which shapes public perception and reinforces the post-factual mindset.
Key Examples
The UK’s Leave campaign and the 2016 US Presidential Election are prominent examples of post-factual politics.
UK’s Leave Campaign: During the 2016 Brexit referendum, the Leave campaign claimed that the UK sent £350 million a week to the EU, suggesting that this money could fund the National Health Service (NHS) instead. Despite being debunked, this message resonated with voters and played a crucial role in the campaign’s success. The emotional appeal of reclaiming control and funding the NHS overshadowed the factual inaccuracies.
2016 US Presidential Election: The US election saw an unprecedented level of misinformation. Donald Trump’s campaign frequently made statements that were later proven false. According to Politifact, 80% of Trump’s remarks were false, half-true, or outright lies. Despite this, he won the election, illustrating how emotional resonance and strong messaging can prevail over factual accuracy in a post-factual world.
These examples highlight the growing trend where facts are secondary to compelling narratives, a shift researchers must understand and adapt to in their work.
The Role of Emotion Over Facts
Emotional appeal and personal beliefs often overshadow factual accuracy. This shift is evident in various public and political arenas. For instance, during the 2016 Republican National Convention, actor Antonio Sabato Jr. insisted that President Obama was a Muslim, despite being proven wrong. Sabato’s defence was, “I have the right to believe that [he is], and you have the right to go against that.” This incident underscores how deeply held personal beliefs can persist even in the face of contrary evidence. People increasingly prioritise what aligns with their emotions and preconceptions over verified facts.
Impact on Politics and Society
This shift has profound implications, particularly in politics. Figures like Donald Trump and Nigel Farage have capitalised on the emotional appeal, using strong, often misleading messages to garner support. Trump’s campaign resonated with many voters, and it was marked by frequent falsehoods.
Similarly, Nigel Farage’s role in the Brexit campaign leveraged emotional appeals about national sovereignty and immigration, overshadowing factual debates. The Leave campaign’s misleading claim about EU contributions swayed many voters, demonstrating the power of emotion over fact.
This trend extends beyond politics, affecting broader society. When emotional appeal trumps factual accuracy, public discourse shifts and extreme views gain traction. Relying on emotionally resonant but factually weak narratives undermines informed decision-making and fuels polarisation. For market research, this means presenting data in emotionally resonating ways, ensuring the truth is heard and understood.
Implications for Market Research
The post-factual era poses significant challenges for the market research industry, which is built on the foundation of factual accuracy. Researchers must contend with an environment where clients may prioritise their personal beliefs and emotional responses over objective data. This shift can lead to scepticism, as clients might question or dismiss findings that conflict with their preconceived notions.
For instance, researchers might face resistance when presenting research results that contradict a client’s internal narrative or business strategy. This resistance is not necessarily based on the validity of the data but on the emotional discomfort it causes. Convincing clients to accept and act on data-driven insights becomes more complex in this context.
Need for Edutainment
To navigate these challenges, market researchers need to adopt the concept of “edutainment,” blending education with entertainment to engage and inform their audiences effectively. Edutainment transforms the presentation of facts into a compelling narrative that captures attention and resonates emotionally.
Steve Jobs was a master of edutainment. When introducing the iPod, he didn’t just talk about its technical specifications, like “1GB of memory.” Instead, he framed it as “1,000 songs in your pocket,” creating an emotional and memorable impact. This approach made the information more relatable and exciting, ensuring the audience remembered and valued the message.
Market researchers can learn from Jobs’ example by dressing their stats to appeal to logic and emotion. Instead of merely presenting cold data, researchers should weave in stories, analogies, and visual aids that connect with the audience’s existing knowledge and emotional landscape. This approach can help bridge the gap between factual accuracy and emotional resonance, making the data more compelling and persuasive.
By adopting edutainment strategies, market researchers can ensure their insights are understood, appreciated, and acted upon, even in a post-factual world.
Strategies for Dressing the Stats
Connecting facts with a client’s existing knowledge and business context is crucial in the post-factual world. Here are some strategies to build these emotional connections:
Understand Your Audience: Before presenting data, understand the client’s priorities, challenges, and goals. Tailor your presentation to align with their business context and address their specific needs.
Relate to Their Experiences: Use examples and analogies that resonate with the client’s experiences. Relating data to familiar situations can make the information more accessible and engaging.
Visual Aids: Incorporate visuals such as infographics, charts, and images that evoke emotions. Visuals can simplify complex data and make it more appealing.
Use Testimonials and Case Studies: Highlight real-life examples and success stories demonstrating the data’s practical impact. Testimonials from other clients can add credibility and emotional weight.
Storytelling Techniques
Storytelling can transform raw data into compelling narratives that engage and persuade. Here are some techniques to make data more relatable:
Create a Narrative Arc: Structure your presentation like a story with a beginning, middle, and end. Introduce the problem, present the data as the solution, and conclude with the impact or outcome.
Use Characters: Introduce characters in your story, such as customers or employees, to humanise the data. Describe how the data affects these characters, making the information more relatable.
Highlight Conflicts and Resolutions: Identify conflicts or challenges and show how the data provides resolutions. This technique can create a more engaging and dynamic presentation.
Incorporate Emotions: Use language that evokes emotions. Describe how the data can alleviate pain points, create opportunities, or drive success. Emotional language can make the data more memorable and impactful.
Examples of Transforming Raw Data into Compelling Narratives
Customer Satisfaction Survey Results:
Raw Data: “85% of customers are satisfied with our product.”
Narrative: “Imagine Sarah, a long-time customer, who recently shared how our product has improved her daily routine, saving her time and effort. Sarah’s story is just one of many, with 85% of our customers reporting similar satisfaction. This overwhelmingly positive feedback underscores our product’s impact on users’ lives.”
Market Trends Analysis:
Raw Data: “The market for eco-friendly products has grown by 20% in the last year.”
Narrative: “Picture a young family making a conscious decision to switch to eco-friendly products, driven by their desire to contribute to a healthier planet for their children. This sentiment is becoming increasingly common, as evidenced by a 20% growth in the market for eco-friendly products over the past year. This trend highlights a significant shift towards sustainability that your business can capitalise on.”
Employee Engagement Survey:
Raw Data: “70% of employees feel engaged at work.”
Narrative: “Meet John, an employee who once felt disconnected at work but now finds purpose and motivation in his role. John’s transformation mirrors the experiences of many others in our company, with 70% of employees reporting high levels of engagement. This positive shift in engagement is driving productivity and fostering a more vibrant workplace culture.”
By integrating these strategies, market researchers can present data in a way that informs, captivates, and persuades their audience, ensuring the insights are understood and valued.
Practical Applications
Case Study 1: Tech Product Launch
Situation: A tech company was preparing to launch a new smartphone and needed to present market research findings to stakeholders.
Approach: The research team combined quantitative data with user stories. They highlighted key statistics, such as “90% of beta testers reported increased productivity,” and paired this with user testimonials explaining how the new features helped them in their daily lives. Visual aids, including graphs and videos of user experiences, were used to make the data more relatable.
Outcome: The presentation was well-received, leading to increased buy-in from stakeholders. The emotional connection made through user stories and visual aids helped convey the product’s value beyond raw numbers.
Lessons Learned: Integrating personal stories and visuals with data makes presentations more engaging and persuasive.
Case Study 2: Retail Customer Insights
Situation: A retail company needed insights into customer preferences to refine its marketing strategy.
Approach: The researchers presented their findings using a narrative arc, starting with the problem of declining customer loyalty. They then showed survey results indicating that personalised experiences could boost loyalty. The team included case studies of other retailers who successfully implemented personalisation strategies, using customer quotes and sales data to support their points.
Outcome: The company adopted the recommended strategies, leading to a 15% increase in customer retention over six months. The narrative approach made the research findings more compelling and actionable.
Lessons Learned: A well-structured narrative helps stakeholders understand and act on research insights.
Best Practices
By following these best practices, market researchers can effectively communicate their findings, making them more engaging and impactful in a post-factual world. This approach ensures that data is presented, appreciated, and acted upon by clients and stakeholders.
Know Your Audience: Tailor your presentation to your audience’s specific interests and needs. Understand their priorities and concerns to make your data relevant.
Combine Facts with Stories: Blend quantitative data with qualitative stories to create a compelling narrative. Use real-life examples, testimonials, and case studies to humanise your data.
Use Visual Aids: Incorporate charts, infographics, and videos to make data more engaging. Visual aids can help simplify complex information and make it more memorable.
Create a Narrative Arc: Structure your presentation with a clear beginning, middle, and end. Introduce the problem, present the data as the solution, and conclude with the impact or outcome.
Highlight Emotional Impact: Use language that evokes emotions and connects with the audience’s values and beliefs. Describe how the data can solve problems, create opportunities, or drive success.
Engage Your Audience: Encourage interaction by asking questions and inviting feedback. Make your presentation a dialogue rather than a monologue.
Simplify Complex Data: Break down complex data into simple, digestible insights. Avoid overwhelming your audience with too much information at once.
Practice and Refine: Rehearse your presentation multiple times to ensure clarity and confidence. Seek feedback from colleagues to refine your approach.
Final Thoughts
In a world where emotion often trumps facts, market researchers must rise to the challenge of making data resonate on a deeper level. It’s not enough to present the truth; we must craft it into compelling narratives that engage and persuade. This requires a shift in how we approach our work, emphasising the integration of emotional appeal with factual accuracy.
Market researchers are critical in bridging the gap between raw data and meaningful insights. By adopting techniques that connect with clients’ emotions and contextual realities, we can ensure our findings are heard, felt, and acted upon. Continuous innovation in our presentation methods is essential. We must be storytellers as much as we are statisticians, blending hard facts with engaging delivery to maintain relevance and impact.
The call to action is clear: evolve or risk becoming obsolete. Embrace edutainment, master the art of storytelling, and always seek new ways to make your data come alive. In doing so, we can thrive in this post-factual era, delivering insights that truly matter.
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