Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal is an aggregated transaction feed that includes consumer transaction data on 100M+ credit and debit cards, including 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants and deep demographic and geographic breakouts. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to compare demographics breakdown (age and income excluded in this free sample view) for one company vs. a competitor for a set period of time (Ex: How do demographics like wealth, ethnicity, children in the household, homeowner status, and political affiliation differ for Walmart vs. Target shopper?).

Inquire about a CE subscription to perform more complex, near real-time demographics analysis functions on public tickers and private brands like: • Analyze a demographic, like age or income, within a state for a company in 2023 • Compare all of a company’s demographics to all of that company’s competitors through most recent history

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Demographics Analysis

Problem A global retailer wants to understand company performance by age group.

Solution Consumer Edge transaction data can be used to analyze shopper transactions by age group to understand: • Overall sales growth by age group over time • Percentage sales growth by age group over time • Sales by age group vs. competitors

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key demographic drivers of growth for company-wide reporting • Reduce investment in underperforming age groups, both online and offline • Determine retention by age group to refine campaign strategy • Understand how different age groups are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period ...

A global database of Census Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future.

Leverage up-to-date census data with population trends for real estate, market research, audience targeting, and sales territory mapping.

Self-hosted commercial demographic dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The global Census Data is standardized, unified, and ready to use.

Use cases for the Global Census Database (Consumer Demographic Data)

• Ad targeting

• B2B Market Intelligence

• Customer analytics

• Real Estate Data Estimations

• Marketing campaign analysis

• Demand forecasting

• Sales territory mapping

• Retail site selection

• Reporting

• Audience targeting

Census data export methodology

Our consumer demographic data packages are offered in CSV format. All Demographic data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Historical population data (55 years)

• Changes in population density

• Urbanization Patterns

• Accurate at zip code and administrative level

• Optimized for easy integration

• Easy customization

• Global coverage

• Updated yearly

• Standardized and reliable

• Self-hosted delivery

• Fully aggregated (ready to use)

• Rich attributes

Why do companies choose our demographic databases

• Standardized and unified demographic data structure

• Seamless integration in your system

• Dedicated location data expert

Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

              Facebook connects the world

              Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
              as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.

Pandemics such as Covid-19 pose tremendous public health communication challenges in promoting protective behaviours, vaccination, and educating the public about risks. Segmenting audiences based on attitudes and behaviours is a means to increase the precision and potential effectiveness of such communication. The present study reports on such an audience segmentation effort for the population of England, sponsored by the United Kingdom Health Security Agency (UKHSA) and involving a collaboration of market research and academic experts. A cross-sectional online survey was conducted between 4 and 24 January 2022 with 5525 respondents (5178 used in our analyses) in England using market research opt-in panel. An additional 105 telephone interviews were conducted to sample persons without online or smartphone access. Respondents were quota sampled to be demographically representative. The primary analytic technique was k means cluster analysis, supplemented with other techniques including multi-dimensional scaling and use of respondent ‐ as well as sample-standardized data when necessary to address differences in response set for some groups of respondents. Identified segments were profiled against demographic, behavioural self-report, attitudinal, and communication channel variables, with differences by segment tested for statistical significance. Seven segments were identified, including distinctly different groups of persons who tended toward a high level of compliance and several that were relatively low in compliance. The segments were characterized by distinctive patterns of demographics, attitudes, behaviours, trust in information sources, and communication channels preferred. Segments were further validated by comparing the segmentation variable versus a set of demographic variables as predictors of reported protective behaviours in the past two weeks and of vaccine refusal; the demographics together had about one-quarter the effect size of the single seven-level segment variable. With respect to managerial implications, different communication strategies for each segment are suggested for each segment, illustrating advantages of rich segmentation descriptions for understanding public health communication audiences. Strengths and weaknesses of the methods used are discussed, to help guide future efforts.

Audience Measurement Market Outlook

The global audience measurement market size was valued at approximately USD 3.2 billion in 2023 and is projected to reach around USD 5.8 billion by 2032, with a Compound Annual Growth Rate (CAGR) of 6.5% from 2024 to 2032. This impressive growth is driven by the increasing need for precise, data-driven insights to optimize advertising and content strategies across various platforms.

One of the primary growth factors of the audience measurement market is the ongoing digital transformation across industries. As digital platforms gain prominence, the need to understand and analyze audience behavior in real-time has become crucial. Companies are investing heavily in advanced analytics and machine learning technologies to gain deeper insights into audience preferences and consumption patterns. This shift towards digitalization is expected to drive the demand for sophisticated audience measurement tools and services, contributing significantly to market growth.

Another key driver is the proliferation of connected devices and the Internet of Things (IoT). With the increasing adoption of smartphones, smart TVs, and other connected devices, audiences are consuming content across multiple platforms and devices. This multi-platform consumption behavior necessitates advanced measurement solutions that can track and analyze audience engagement across various touchpoints. Consequently, companies are focusing on developing cross-platform measurement solutions to capture a holistic view of audience interactions, further propelling market growth.

Moreover, the growing emphasis on personalized advertising and content delivery is fueling the need for accurate audience measurement. Advertisers and content creators are leveraging audience data to tailor their messages and offerings to specific segments, enhancing user engagement and satisfaction. This trend towards personalization requires robust measurement solutions that can provide granular insights into audience demographics, preferences, and behaviors. The increasing demand for personalized experiences is, therefore, a significant factor driving the growth of the audience measurement market.

Regionally, North America holds a dominant position in the audience measurement market, owing to the early adoption of advanced technologies and the presence of major industry players. The region is expected to maintain its leadership during the forecast period, driven by continuous investments in research and development and a strong focus on technological innovation. On the other hand, the Asia Pacific region is anticipated to witness the highest growth rate, supported by the rapid digitalization, increasing internet penetration, and expanding media and entertainment industry. This regional growth perspective underscores the global nature of the audience measurement market, with diverse growth opportunities across different geographies.

In this evolving landscape, Broadcast Media Monitoring has become an essential component for companies aiming to stay ahead in the competitive media environment. By leveraging advanced monitoring technologies, broadcasters can gain real-time insights into content performance and audience engagement. This capability is crucial for optimizing programming schedules and advertising strategies, ensuring that content resonates with target audiences. Furthermore, Broadcast Media Monitoring enables companies to track competitor activities and industry trends, providing a strategic advantage in decision-making processes. As the media landscape continues to diversify, the role of monitoring tools in enhancing operational efficiency and audience understanding cannot be overstated.

Component Analysis

The audience measurement market is segmented into two primary components: software and services. The software segment includes a range of analytics and measurement tools designed to collect, analyze, and report audience data. This segment is witnessing significant growth due to the increasing adoption of advanced analytics solutions and the integration of artificial intelligence and machine learning technologies. These tools enable organizations to gain real-time insights into audience behavior, thereby enhancing decision-making processes and optimizing marketing strategies.

Services, the other critical component, encompass various support and maintenance services, consulting, and managed services. With the growing complexi

As of January 2024, Instagram was slightly more popular with men than women, with men accounting for 50.6 percent of the platform’s global users. Additionally, the social media app was most popular amongst younger audiences, with almost 32 percent of users aged between 18 and 24 years.

              Instagram’s Global Audience

              As of January 2024, Instagram was the fourth most popular social media platform globally, reaching two billion monthly active users (MAU). This number is projected to keep growing with no signs of slowing down, which is not a surprise as the global online social penetration rate across all regions is constantly increasing.
              As of January 2024, the country with the largest Instagram audience was India with 362.9 million users, followed by the United States with 169.7 million users.

              Who is winning over the generations?

              Even though Instagram’s audience is almost twice the size of TikTok’s on a global scale, TikTok has shown itself to be a fierce competitor, particularly amongst younger audiences. TikTok was the most downloaded mobile app globally in 2022, generating 672 million downloads. As of 2022, Generation Z in the United States spent more time on TikTok than on Instagram monthly.

The Influencer Marketing market is experiencing robust growth, projected to reach $13.80 billion in 2025 and exhibiting a Compound Annual Growth Rate (CAGR) of 31.95% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing adoption of social media and the rising preference for authentic brand endorsements by consumers are major contributors. Businesses are increasingly recognizing the effectiveness of influencer marketing in reaching targeted audiences, building brand awareness, and driving sales, particularly amongst younger demographics. Further driving growth is the evolution of influencer marketing platforms and analytics tools that provide greater transparency and measurability of campaign performance, allowing for more sophisticated strategies and ROI assessment. The diverse range of influencer types, from micro-influencers to mega-influencers, allows for customized campaigns reaching various market segments. Key segments include software and service components, targeting both Small and Medium Enterprises (SMEs) and Large Enterprises across diverse applications like campaign management, search and discovery, analytics, product seeding, and others. Retail and e-commerce, fashion and lifestyle, travel and hospitality, and food and beverage industries are leading end-user sectors. Geographic distribution shows a strong presence across North America, Europe, and Asia, with the United States, China, and the UK representing significant market shares. However, the market's growth potential is extensive, with emerging markets in Asia and Latin America expected to contribute significantly to the overall expansion in the coming years. While challenges exist, such as influencer fraud and maintaining authenticity, the industry is proactively addressing these concerns through improved verification methods and increased transparency. The continued advancement of technology, the expanding reach of social media platforms, and the evolving consumer behavior suggest that the influencer marketing market will maintain its high growth trajectory throughout the forecast period, creating significant opportunities for market participants. Recent developments include: August 2024: The Tourism Authority of Thailand (TAT) has unveiled its new influencer marketing platform, 'TAT Connex', marking a significant step in its digital transformation strategy for promoting and developing tourism. 'TAT Connex' invites a diverse range of participants, including local and international Key Opinion Leaders (KOLs), influencers, bloggers, media personalities, and celebrities. They can connect with ten distinct categories of tourism-related businesses. These categories encompass dining establishments, hotels and homestays, transportation services, recreational activities and attractions, travel agencies, health and beauty services, shopping centers, entertainment venues, and souvenir shops.July 2024: Collective Artists Network, a new media entity focused on pop culture, is venturing into AI by acquiring Galleri5. Galleri5 is an AI-driven platform specializing in influencer marketing analytics and content management, catering to brands and influencers. Its offerings encompass AI-generated visual content, creator intelligence, campaign oversight, and trend prediction. By acquiring Galleri5, the firm is making a significant stride in weaving deep tech and AI into the fabric, bolstering its capacity to deliver state-of-the-art solutions to talents, content platforms, and brands.July 2024: Publicis Groupe has agreed to acquire Influential, the leading global influencer marketing platform. Influential specializes in authentically linking brands to their audiences through creating, deploying, and optimizing digital campaigns driven by creators. As the world's largest influencer marketing firm by revenue, Influential boasts a proprietary AI-driven technology platform that analyzes over 100 billion data points. Its expansive network includes over 3.5 million creators, granting access to data on 90% of global influencers with over 1 million followers. Currently, Influential provides its services to more than 300 brands worldwide.June 2024: Qoruz, an influencer marketing platform based in India, has partnered with Dabur, a brand celebrated for its natural and Ayurvedic products. This collaboration enhances Dabur's influencer marketing strategy, fostering more authentic and impactful connections with its audience. Leveraging Qoruz's sophisticated analytics and influencer management tools, Dabur aims to pinpoint influencers that resonate with the brand's fundamental values. Through Qoruz’s platform, Dabur gains data-driven insights into influencer performance and audience engagement, enabling them to craft campaigns that effectively resonate with their target demographic.. Key drivers for this market are: Firms Increasing Necessity to Utilize Influencer Marketing Platforms for Enhanced Consumer Engagement, Increasing Penetration of Social Media Platforms. Potential restraints include: Firms Increasing Necessity to Utilize Influencer Marketing Platforms for Enhanced Consumer Engagement, Increasing Penetration of Social Media Platforms. Notable trends are: Fashion and Lifestyle is Expected to Hold Significant Share.

Audience Analytics Market Outlook

The global audience analytics market size was valued at USD 3.2 billion in 2023 and is projected to reach USD 10.8 billion by 2032, growing at a CAGR of 14.5% during the forecast period. The surge in digital advertising and the growing need to understand consumer behavior are significant factors contributing to this market's growth.

The increasing adoption of data-driven decision-making processes across various industries is one of the primary growth factors driving the audience analytics market. Companies are increasingly relying on audience analytics to gain insights into consumer preferences, behaviors, and trends. This data enables firms to tailor their marketing strategies more effectively, thus boosting engagement and conversion rates. Moreover, the rise of social media platforms has created a massive amount of user-generated data, which is a goldmine for audience analytics. These platforms allow businesses to track consumer sentiments and preferences in real-time, providing a competitive edge in the market.

Another crucial growth factor is the technological advancements in artificial intelligence (AI) and machine learning (ML). These technologies are pivotal in enhancing the capabilities of audience analytics tools. AI and ML algorithms can process vast amounts of data at unprecedented speeds, offering deeper and more accurate insights. This not only improves the precision of audience analysis but also makes real-time analytics feasible. As a result, businesses can respond to market changes and consumer needs more promptly, thereby improving customer satisfaction and loyalty.

The rise of mobile and digital media consumption has also significantly contributed to the growth of the audience analytics market. With the proliferation of smartphones and high-speed internet, consumers are more connected than ever before. This has led to a surge in digital content consumption, providing a wealth of data for analytics. Companies are leveraging this data to understand viewing patterns, content preferences, and engagement levels across different demographics. This information is invaluable for content creators, advertisers, and marketers to optimize their strategies and maximize ROI.

Regionally, North America holds a dominant position in the audience analytics market, followed by Europe and the Asia Pacific. The presence of key market players, coupled with high adoption rates of advanced technologies, contributes to North America's leadership. Europe is also a significant player due to the stringent data protection regulations which enhance the reliability of audience data. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the rapid digital transformation and increasing internet penetration in emerging economies like China and India.

In the retail and e-commerce sector, the use of Retail Analytics Software is becoming increasingly prevalent. This software enables retailers to gain a comprehensive understanding of consumer behavior by analyzing data from various sources such as online shopping patterns, in-store purchases, and customer feedback. By leveraging these insights, retailers can optimize their inventory management, personalize marketing strategies, and enhance the overall shopping experience. The ability to predict trends and customer preferences allows retailers to stay ahead of the competition and meet the ever-evolving demands of their customers. As the retail landscape continues to evolve, the integration of advanced analytics tools is essential for driving growth and maintaining a competitive edge.

Component Analysis

The audience analytics market is segmented by component into software and services. The software segment includes various analytics platforms and tools that businesses use to gather, process, and analyze audience data. These software solutions are pivotal in transforming raw data into actionable insights. They include real-time analytics, predictive analytics, and sentiment analysis tools, among others. The increasing demand for comprehensive analytics solutions is driving the growth of this segment. As businesses aim to gain a competitive edge, the adoption of advanced software tools that offer in-depth insights into audience behavior is on the rise.

Services, the other component segment, involve consulting, implementation, and support services. These services enable bu

A global database of Direct Marketing Data that provides an understanding of population distribution at administrative and zip code levels over 55 years, past, present, and future. Leverage up-to-date audience targeting population trends for market research, audience targeting, and sales territory mapping.

Self-hosted marketing population dataset curated based on trusted sources such as the United Nations or the European Commission, with a 99% match accuracy. The Demographic Data is standardized, unified, and ready to use.

Use cases for the Global Consumer Behavior Database (Direct Marketing Data)

• Ad targeting

• B2B Market Intelligence

• Customer analytics

• Audience targeting

• Marketing campaign analysis

• Demand forecasting

• Sales territory mapping

• Retail site selection

• Reporting

• Audience targeting

Demographic data export methodology

Our population data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Product Features

• Historical population data (55 years)

• Changes in population density

• Urbanization Patterns

• Accurate at zip code and administrative level

• Optimized for easy integration

• Easy customization

• Global coverage

• Updated yearly

• Standardized and reliable

• Self-hosted delivery

• Fully aggregated (ready to use)

• Rich attributes

Why do companies choose our Consumer databases

• Standardized and unified demographic data structure

• Seamless integration in your system

• Dedicated location data expert

Note: Custom population data packages are available. Please submit a request via the above contact button for more details.

Audience Measurement Computer Vision Market Outlook

According to our latest research, the global Audience Measurement Computer Vision market size reached USD 2.3 billion in 2024, reflecting robust adoption across various sectors. The market is expected to grow at a CAGR of 15.2% during the forecast period, propelling it to a projected value of USD 7.1 billion by 2033. This remarkable growth is driven by the increasing demand for real-time, data-driven audience insights in advertising, retail, and entertainment, as well as rapid advancements in artificial intelligence and computer vision technologies.

One of the most significant growth factors propelling the Audience Measurement Computer Vision market is the accelerating digital transformation across industries. As organizations strive to optimize customer engagement and enhance return on investment in advertising, there is a growing emphasis on leveraging advanced analytics and computer vision to capture granular audience metrics. The integration of computer vision with machine learning algorithms enables businesses to extract actionable insights from video feeds, such as demographic composition, dwell time, and emotional responses. This capability is particularly valuable for retailers, advertisers, and event organizers seeking to tailor content and experiences to specific audience segments, thereby improving campaign effectiveness and customer satisfaction.

Another key driver is the proliferation of smart infrastructure and connected devices, which has expanded the deployment of computer vision solutions for audience measurement. The widespread adoption of digital signage, interactive kiosks, and surveillance systems in public spaces, transportation hubs, and retail environments has created new opportunities for real-time audience analytics. These systems can now accurately track footfall, analyze user engagement, and deliver personalized content based on audience characteristics. The integration of edge computing further enhances the scalability and responsiveness of these solutions, enabling organizations to process large volumes of visual data with minimal latency and high accuracy.

The increasing focus on privacy-compliant data collection and analytics is also shaping the market landscape. As regulatory frameworks such as GDPR and CCPA impose stringent requirements on personal data handling, vendors are investing in privacy-preserving computer vision techniques, such as anonymized facial recognition and aggregate demographic analysis. These innovations are enabling organizations to harness the power of audience measurement while ensuring compliance with data protection regulations. The evolution of ethical AI and transparent data practices is fostering greater trust among end-users and encouraging broader adoption of computer vision technologies for audience analytics.

From a regional perspective, North America continues to dominate the Audience Measurement Computer Vision market, accounting for the largest revenue share in 2024. This leadership is attributed to the presence of major technology providers, early adoption of advanced analytics, and significant investments in smart retail and digital media infrastructure. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid urbanization, expanding retail networks, and increasing digital advertising spending. Europe is also witnessing steady growth, driven by the adoption of privacy-centric computer vision solutions and government initiatives supporting smart city development. Collectively, these regional dynamics are contributing to the robust expansion of the global Audience Measurement Computer Vision market.

Component Analysis

The Audience Measurement Computer Vision market is segmented by component into hardware, software, and services, each playing a critical role in the deployment and operation of audience analytics solutions. Hardware forms the foundational layer, encompassing cameras, sensors, edge computing devices, and networking equipment

As of April 2024, Bahrain was the country with the highest Instagram audience reach with 95.6 percent. Kazakhstan also had a high Instagram audience penetration rate, with 90.8 percent of the population using the social network. In the United Arab Emirates, Turkey, and Brunei, the photo-sharing platform was used by more than 85 percent of each country's population.

Here are a few use cases for this project:

1. Demographic Analysis in Retail: The "age&gender" computer vision model could be used in stores or shopping malls to analyze customer demographics. It will help in identifying the age and gender groups of shoppers, enabling store managers to customize marketing strategies, store layouts, or product placement according to different groups' preferences.

2. Audience Measurement in Media and Advertising: TV channels, billboard owners, or digital marketers could use this model to determine who their primary audience is, by identifying the age group and gender of viewers or passers-by. This data will allow them to tailor their content and advertising to attract and retain their target audience effectively.

3. Social Research and Urban Planning: Researchers could deploy this model in public areas to gather demographic data which could inform a range of policies from social services provision to creating more inclusive urban spaces. It can also be used to gain insights into population movements and density in cities.

4. Interactive Installations: In museums, expos, and other public installations, the age&gender model could be used to tailor the information or experience to the visitor automatically, based on their detected age group and gender, resulting in a more personalized encounter.

5. Healthcare and Well-being: For applications where users are comfortable sharing this data, gym clubs or wellness centers could use this model to provide personalized training routines or wellness plans according to the detected age and gender groups. This could help to improve the effectiveness of the user's workouts or wellness regimes.

In a public health crisis, communication plays a vital role in making sure policies and recommendations from the government level get disseminated accurately to its people and is only considered as effective when the public accepts, supports, complies to, and engages in policies or behaves as per governments’ recommendations. Adopting the multivariate audience segmentation strategy for health communication, this study uses a data-driven analytical method to (1) identify audience segments of public health crisis communication in Singapore based on knowledge, risk perception, emotional responses, and preventive behaviors; and (2) characterize each audience segment according to demographic factors, personality traits, information processing styles, and health information preferences. Results (N = 2033) from a web-based questionnaire executed in August 2021 have identified three audience segments: the less-concerned (n = 650), the risk-anxious (n = 142), and the risk-majority (n = 1,241). This study offers insights to how audiences of public health crisis communication perceive, process, and respond to information directed to them during the pandemic, thereby informing policy makers to tailor more targeted public health communication interventions in promoting positive attitude and behavior change.

Success.ai’s Consumer Sentiment Data offers businesses unparalleled insights into global audience attitudes, preferences, and emotional triggers. Sourced from continuous analysis of consumer behaviors, conversations, and feedback, this dataset includes psychographic profiles, interest data, and sentiment trends that help marketers, product teams, and strategists better understand their target customers. Whether you’re exploring a new market, refining your brand message, or enhancing product offerings, Success.ai ensures your consumer intelligence efforts are guided by timely, accurate, and context-rich data.

Why Choose Success.ai’s Consumer Sentiment Data?

1. Comprehensive Audience Insights

   • Access psychographic and interest-based profiles that reveal what motivates and influences your audience’s decisions.
   • Continuous updates ensure you stay aligned with shifting consumer sentiments, seasonal preferences, and emerging trends.

2. Global Reach Across Industries and Demographics

   • Includes insights from various markets, age groups, cultural backgrounds, and income levels.
   • Identify consumer attitudes in different regions, helping you tailor campaigns, products, and messaging to diverse audiences.

3. Continuously Updated Datasets

   • Real-time data analysis ensures that your consumer sentiment insights remain fresh, relevant, and actionable.
   • Adapt quickly to consumer feedback, market changes, and competitive pressures.

4. Ethical and Compliant

   • Adheres to global data privacy regulations, ensuring your usage of consumer sentiment data is both legal and respectful of personal boundaries.

Data Highlights:

• Psychographic Profiles: Understand lifestyle preferences, values, and interests that shape consumer choices.
• Sentiment Trends: Track evolving emotional responses to brands, products, and categories.
• Global Audience Insights: Evaluate consumer sentiments across multiple regions, languages, and cultural contexts.
• Continuous Updates: Receive current data that reflects the latest shifts in mood, opinion, and interest.

Key Features of the Dataset:

1. Granular Segmentation

   • Segment audiences by demographic, interest, buying behavior, and sentiment scores for targeted marketing efforts.
   • Focus on the attributes that matter most, from eco-conscious consumers to luxury shoppers or value seekers.

2. Contextual Sentiment Analysis

   • Go beyond basic positive/negative sentiment to understand nuanced emotional responses.
   • Identify triggers that inspire loyalty, dissatisfaction, trust, or skepticism.

3. AI-Driven Enrichment

   • Profiles enriched with actionable data provide deeper insights into consumer lifestyles, brand perceptions, and product affinities.
   • Leverage advanced analytics to develop personalized campaigns and product strategies.

Strategic Use Cases:

1. Marketing and Campaign Optimization

   • Craft campaigns that resonate emotionally by understanding what drives consumer engagement.
   • Adjust messaging, timing, and channels to align with evolving sentiment trends and seasonal shifts in consumer mood.

2. Product Development and Innovation

   • Identify unmet consumer needs and preferences before launching new products.
   • Refine features, packaging, and pricing strategies based on real-time consumer responses.

3. Brand Management and Positioning

   • Monitor brand perceptions to detect early signs of brand fatigue, trust erosion, or negative publicity.
   • Strengthen brand loyalty by addressing concerns, highlighting strengths, and adapting to changing market contexts.

4. Competitive Analysis and Market Entry

   • Benchmark consumer sentiment towards competitors, industry leaders, and emerging disruptors.
   • Assess market readiness and optimize entry strategies for new regions or segments.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access high-quality, verified data at competitive prices, ensuring efficient allocation of your marketing and research budgets.

2. Seamless Integration

   • Integrate enriched sentiment data into your analytics, CRM, or marketing platforms via APIs or downloadable formats.
   • Simplify data management and accelerate decision-making processes.

3. Data Accuracy with AI Validation

   • Benefit from AI-driven validation for reliable insights into consumer attitudes, leading to more confident data-driven strategies.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus on specific segments, regions, or interests, and scale as your business grows and evolves.

APIs for Enhanced Functionality:

1. Data Enrichment API

   • Enhance your existing consumer records with psychographic and sentiment insights, deepening your understanding of audience motivations.

2. Lead Generation API

   • Identify audience segments receptive to your messaging, streamlini...

This dataset provides detailed records of user interactions with social media posts, including likes, comments, and shares, across multiple platforms and campaigns. It enables in-depth analysis of engagement trends, audience demographics, and campaign effectiveness for social media analytics and marketing optimization.

This product provides a monthly breakdown of the shopper profile for individual Points of Interest (POI), offering invaluable insight into the characteristics of who is visiting that location each month. It includes aggregated psychographic and demographic attributes such as age, gender, income level, lifestyle segments, and other key behavioral indicators. Furthermore, it surfaces the distribution of home ZIP codes, illustrating the geographic origins of visitors, and highlights other brands and POIs those same visitors also frequent during the month, revealing broader consumer behavior.

All metrics are consistently expressed as a percentage share of total visits to the POI in that month. This standardized approach allows for robust month-over-month comparison and precise audience trend analysis. Users can therefore comprehensively understand how the composition of shoppers is changing over time, where they live, what defines their consumer preferences, and how they behave across the wider retail landscape.

The data is fully anonymized and aggregated, with no access to individual-level or device-level records. It is delivered monthly and is commonly utilized for in-depth audience profiling, strategic market segmentation, powerful brand affinity analysis, and informed strategic decision-making

The Audience Measurement market plays a pivotal role in today's data-driven landscape, helping businesses and media organizations understand consumer behaviors, preferences, and engagement levels. This market encompasses a variety of techniques and technologies aimed at quantifying and analyzing audience demographic

This dataset provides detailed, event-level social media engagement metrics, tracking user interactions across multiple platforms and content types. It enables brands to analyze engagement trends, measure campaign effectiveness, and optimize content strategies for maximum reach and impact. With granular data on user actions, post metadata, and audience demographics, it supports advanced analytics and actionable insights for marketing teams.

Audience Segmentation for OTT Market Outlook

According to our latest research, the global Audience Segmentation for OTT market size reached USD 5.7 billion in 2024, reflecting robust expansion driven by the proliferation of digital media consumption and advanced data analytics. The market is expected to maintain a strong growth trajectory, registering a CAGR of 14.8% from 2025 to 2033, and is forecasted to reach USD 17.7 billion by 2033. This rapid growth is primarily fueled by the rising adoption of OTT platforms, the increasing importance of personalized content delivery, and the integration of AI-driven segmentation tools into OTT service ecosystems.

One of the most significant growth drivers in the Audience Segmentation for OTT market is the dramatic shift in consumer behavior towards digital streaming services. As traditional media consumption declines, OTT platforms are witnessing exponential user growth, leading to an increased demand for sophisticated audience segmentation tools. These solutions enable OTT providers to analyze vast datasets, extract actionable insights, and deliver hyper-personalized experiences. The evolution of machine learning and artificial intelligence has further enhanced the granularity and accuracy of audience segmentation, allowing platforms to cater to diverse viewer preferences, optimize content recommendations, and boost user engagement. The surge in smartphone penetration and affordable high-speed internet, especially in emerging markets, has also played a pivotal role in expanding the OTT audience base, necessitating more nuanced segmentation strategies.

Another crucial factor propelling market growth is the intensifying competition among OTT platforms. As the market becomes increasingly saturated, providers are leveraging audience segmentation to differentiate their offerings and maximize subscriber retention. Advanced segmentation strategies—spanning demographic, psychographic, behavioral, geographic, and technographic parameters—enable platforms to tailor marketing campaigns, enhance targeted advertising, and minimize churn rates. The integration of real-time analytics and predictive modeling empowers OTT services to anticipate viewer needs, optimize ad placements, and drive higher conversion rates. Moreover, the growing emphasis on privacy-compliant data collection and analysis is fostering trust among users, encouraging them to share more information that can be used to refine segmentation models further.

The ongoing digital transformation across industries has also contributed to the expansion of the Audience Segmentation for OTT market. Enterprises, particularly in the media, entertainment, and advertising sectors, are increasingly adopting advanced segmentation solutions to gain a competitive edge. The proliferation of smart TVs, connected devices, and multi-platform viewing experiences has created new touchpoints for data collection and audience analysis. As OTT platforms continue to diversify their content portfolios and expand into new geographies, the need for localized and contextually relevant segmentation becomes paramount. Regulatory developments, such as data protection laws and cross-border data transfer policies, are shaping the evolution of audience segmentation practices, compelling OTT providers to adopt more transparent and secure methodologies.

Regionally, North America remains the dominant market for Audience Segmentation in OTT, accounting for the largest revenue share in 2024. The region’s advanced digital infrastructure, high internet penetration, and mature OTT ecosystem have facilitated the widespread adoption of segmentation solutions. However, the Asia Pacific region is emerging as the fastest-growing market, driven by rapid urbanization, increasing disposable incomes, and a burgeoning population of digital-first consumers. Europe continues to demonstrate steady growth, supported by robust regulatory frameworks and a strong focus on data privacy. Latin America and the Middle East & Africa are also witnessing increased adoption, albeit at a relatively nascent stage, as OTT platforms expand their reach and tailor their offerings to local preferences.

Segmentation Type Analysis

The Segmentation Type segment plays a pivotal role in the Audience Segmentation for OTT market, encompassing demographic, psychographic, behavioral, geographic, and technographic categorization. Demographic segmentation remains a foundational approach, enabling OTT platforms