This dataset provides comprehensive customer data suitable for segmentation analysis. It includes anonymized demographic, transactional, and behavioral attributes, allowing for detailed exploration of customer segments. Leveraging this dataset, marketers, data scientists, and business analysts can uncover valuable insights to optimize targeted marketing strategies and enhance customer engagement. Whether you're looking to understand customer behavior or improve campaign effectiveness, this dataset offers a rich resource for actionable insights and informed decision-making.

Key Features:

Anonymized demographic, transactional, and behavioral data. Suitable for customer segmentation analysis. Opportunities to optimize targeted marketing strategies. Valuable insights for improving campaign effectiveness. Ideal for marketers, data scientists, and business analysts.

Usage Examples:

Segmenting customers based on demographic attributes. Analyzing purchase behavior to identify high-value customer segments. Optimizing marketing campaigns for targeted engagement. Understanding customer preferences and tailoring product offerings accordingly. Evaluating the effectiveness of marketing strategies and iterating for improvement. Explore this dataset to unlock actionable insights and drive success in your marketing initiatives!

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 ...

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.

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.

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.

TagX Web Browsing Clickstream Data: Unveiling Digital Behavior Across North America and EU Unique Insights into Online User Behavior TagX Web Browsing clickstream Data offers an unparalleled window into the digital lives of 1 million users across North America and the European Union. This comprehensive dataset stands out in the market due to its breadth, depth, and stringent compliance with data protection regulations. What Makes Our Data Unique?

Extensive Geographic Coverage: Spanning two major markets, our data provides a holistic view of web browsing patterns in developed economies. Large User Base: With 300K active users, our dataset offers statistically significant insights across various demographics and user segments. GDPR and CCPA Compliance: We prioritize user privacy and data protection, ensuring that our data collection and processing methods adhere to the strictest regulatory standards. Real-time Updates: Our clickstream data is continuously refreshed, providing up-to-the-minute insights into evolving online trends and user behaviors. Granular Data Points: We capture a wide array of metrics, including time spent on websites, click patterns, search queries, and user journey flows.

Data Sourcing: Ethical and Transparent Our web browsing clickstream data is sourced through a network of partnered websites and applications. Users explicitly opt-in to data collection, ensuring transparency and consent. We employ advanced anonymization techniques to protect individual privacy while maintaining the integrity and value of the aggregated data. Key aspects of our data sourcing process include:

Voluntary user participation through clear opt-in mechanisms Regular audits of data collection methods to ensure ongoing compliance Collaboration with privacy experts to implement best practices in data anonymization Continuous monitoring of regulatory landscapes to adapt our processes as needed

Primary Use Cases and Verticals TagX Web Browsing clickstream Data serves a multitude of industries and use cases, including but not limited to:

Digital Marketing and Advertising:

Audience segmentation and targeting Campaign performance optimization Competitor analysis and benchmarking

E-commerce and Retail:

Customer journey mapping Product recommendation enhancements Cart abandonment analysis

Media and Entertainment:

Content consumption trends Audience engagement metrics Cross-platform user behavior analysis

Financial Services:

Risk assessment based on online behavior Fraud detection through anomaly identification Investment trend analysis

Technology and Software:

User experience optimization Feature adoption tracking Competitive intelligence

Market Research and Consulting:

Consumer behavior studies Industry trend analysis Digital transformation strategies

Integration with Broader Data Offering TagX Web Browsing clickstream Data is a cornerstone of our comprehensive digital intelligence suite. It seamlessly integrates with our other data products to provide a 360-degree view of online user behavior:

Social Media Engagement Data: Combine clickstream insights with social media interactions for a holistic understanding of digital footprints. Mobile App Usage Data: Cross-reference web browsing patterns with mobile app usage to map the complete digital journey. Purchase Intent Signals: Enrich clickstream data with purchase intent indicators to power predictive analytics and targeted marketing efforts. Demographic Overlays: Enhance web browsing data with demographic information for more precise audience segmentation and targeting.

By leveraging these complementary datasets, businesses can unlock deeper insights and drive more impactful strategies across their digital initiatives. Data Quality and Scale We pride ourselves on delivering high-quality, reliable data at scale:

Rigorous Data Cleaning: Advanced algorithms filter out bot traffic, VPNs, and other non-human interactions. Regular Quality Checks: Our data science team conducts ongoing audits to ensure data accuracy and consistency. Scalable Infrastructure: Our robust data processing pipeline can handle billions of daily events, ensuring comprehensive coverage. Historical Data Availability: Access up to 24 months of historical data for trend analysis and longitudinal studies. Customizable Data Feeds: Tailor the data delivery to your specific needs, from raw clickstream events to aggregated insights.

Empowering Data-Driven Decision Making In today's digital-first world, understanding online user behavior is crucial for businesses across all sectors. TagX Web Browsing clickstream Data empowers organizations to make informed decisions, optimize their digital strategies, and stay ahead of the competition. Whether you're a marketer looking to refine your targeting, a product manager seeking to enhance user experience, or a researcher exploring digital trends, our cli...

OverviewThe BuzzFeed dataset, officially known as the BuzzFeed-Webis Fake News Corpus 2016, comprises content from 9 news publishers over a 7-day period close to the 2016 US election. It was created to analyze the spread of misinformation and hyperpartisan content on social media platforms, particularly Facebook.Dataset CompositionNews Articles: The dataset includes 1,627 articles from various sources:826 from mainstream publishers256 from left-wing publishers545 from right-wing publishersFacebook Posts: Each article is associated with Facebook post data, including metrics like share counts, reaction counts, and comment counts.Comments: The dataset includes nearly 1.7 million Facebook comments discussing the news content.Fact-Check Ratings: Each article was fact-checked by professional journalists at BuzzFeed, providing veracity assessments.Key FeaturesPublisher Information: The dataset covers 9 publishers, including 6 hyperpartisan (3 left-wing and 3 right-wing) and 3 mainstream outlets.Temporal Aspect: The data was collected over seven weekdays (September 19-23 and September 26-27, 2016).Verification Status: All publishers included in the dataset had earned Facebook's blue checkmark, indicating authenticity and elevated status.Metadata: Includes various metrics such as publication dates, post types, and engagement statistics.Potential ApplicationsThe BuzzFeed dataset is valuable for various research and analytical purposes:News Veracity Assessment: Researchers can use machine learning techniques to classify articles based on their factual accuracy.Social Media Analysis: The dataset allows for studying how news spreads on platforms like Facebook, including engagement patterns.Hyperpartisan Content Study: It enables analysis of differences between mainstream and hyperpartisan news sources.Content Strategy Optimization: Media companies can use insights from the dataset to refine their content strategies.Audience Analysis: The data can be used for demographic analysis and audience segmentation.This dataset provides a comprehensive snapshot of news dissemination and engagement on social media during a crucial period, making it a valuable resource for researchers, data scientists, and media analysts studying online information ecosystems.

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.

Gain a competitive edge with our comprehensive Advertising Dataset, designed for marketers, analysts, and businesses to track ad performance, analyze competitor strategies, and optimize campaign effectiveness.

Dataset Features

Sponsored Posts & Ads: Access structured data on paid advertisements, including post content, engagement metrics, and platform details. Competitor Advertising Insights: Extract data on competitor campaigns, influencer partnerships, and promotional strategies. Audience Engagement Metrics: Analyze likes, shares, comments, and impressions to measure ad effectiveness. Multi-Platform Coverage: Track ads across LinkedIn, Instagram, Facebook, TikTok, Twitter (X), Pinterest, and more. Historical & Real-Time Data: Retrieve historical ad performance data or access continuously updated records for real-time insights.

Customizable Subsets for Specific Needs Our Advertising Dataset is fully customizable, allowing you to filter data based on platform, ad type, engagement levels, or specific brands. Whether you need broad coverage for market research or focused data for ad optimization, we tailor the dataset to your needs.

Popular Use Cases

Targeted Advertising & Audience Segmentation: Refine ad targeting by analyzing competitor content, audience demographics, and engagement trends. Campaign Performance Analysis: Measure ad effectiveness by tracking engagement metrics, reach, and conversion rates. Competitive Intelligence: Monitor competitor ad strategies, influencer collaborations, and promotional trends. Market Research & Trend Forecasting: Identify emerging advertising trends, high-performing content types, and consumer preferences. AI & Predictive Analytics: Use structured ad data to train AI models for automated ad optimization, sentiment analysis, and performance forecasting.

Whether you're optimizing ad campaigns, analyzing competitor strategies, or refining audience targeting, our Advertising Dataset provides the structured data you need. Get started today and customize your dataset to fit your business objectives.

Here are a few use cases for this project:

1. Family Demographics Analysis: The model can be utilized by marketers and city planners to understand family structures, bonding, and activities in public places or residential areas to adapt marketing strategies or infrastructure planning.

2. Smart Surveillance: The model can be used in surveillance cameras to track family visits to malls, amusement parks or museums. This could be useful in terms of safety or customer behavior analysis.

3. Media and Advertising: In the broadcast media sector, it could be used to evaluate audience demographics present in TV shows or advertisements to ensure they accurately represent intended audiences.

4. Interactive Applications: Developers could use this model to create applications or games that react differently based on whether an adult or a child is using the app, providing age-appropriate responses.

5. Education: Schools could utilize this model to monitor classrooms or playgrounds to ensure that no unexpected adults or strangers are present.

With extensive coverage nationally and across various languages, our B2C Language Demographic Data provides valuable insights for sales, marketing, and research purposes. Whether you're seeking to expand your client base, enhance lead generation efforts, or conduct market analysis, our dataset empowers you to make informed decisions and drive business growth.

Our B2C Language Demographic Data covers a wide range of languages including but not limited to Chinese, Arabic, Hindi, French, German, Vietnamese and more. By leveraging our dataset, you can identify potential prospects, explore new market opportunities, and stay ahead of the competition. Whether you're a startup looking to establish your presence, a seasoned enterprise aiming to expand your market share or a researcher, our B2C Language Demographic Data offers valuable insights.

Uses

The use cases of our B2C Language Demographic Data are diverse and versatile. From targeted marketing campaigns (e.g., billboard, location-based), to market segmentation and cohort analysis, our dataset serves as a valuable asset for various business and research functions. Whether you're targeting influencers, or specific industry verticals, our B2C Language Demographic Data provides the foundation for effective communication and engagement.

Key benefits of our B2C Language Demographic Data include:

• Enhanced Lead Generation: Identify locations of high-potential prospects
• Improved Targeting: Tailor your marketing efforts based on detailed location- based insights on your target cohort. Our rich set of contact points enable business to direct energies to precisely where they create the most impact.
• Increased ROI: Maximize the efficiency of your marketing campaigns by focusing on the most promising opportunities.
• Data Accuracy: Ensure the reliability and validity of your data with our regularly updated and verified dataset.
• Competitive Advantage: Stay ahead of the competition by accessing comprehensive market intelligence and strategic insights.
• Scalability: Our dataset grows with your business, providing scalability and flexibility to meet evolving needs.
• Compliance: Our B2C Language Demographic Data complies with relevant data privacy regulations

Why businesses partner with us:

Operating for over ten years, innovation is our north star, driving value, fostering collaborative grown and compounding returns for our partners.
Our data is compliant and responsibly collected. We are easy to work with.
We offer products that are cost effective and good value. We work to make an impact for our customers. Talk to us about the solutions you are after

Key Tags:

Data Enrichment, B2C Sales, Analytics, People Data, B2C, Customer Data, Prospect Data, Audience Generation, B2C Data Enrichment, Business Intelligence, AI / ML, Market Intelligence, Segmentation, Audience Targeting, Audience Intelligence, B2C Advertising, List Validation, Data Cleansing, Competitive Intelligence, Demographic Data, B2C Data, Lead Information, Data Append, Data Augmentation, Data Cleansing, Data Enhancement, Data Intelligence, Data Science, Due Diligence, Marketing Data Enrichment, Master Data Enrichment, People-Based Marketing, Predictive Analytics, Prospecting, Sales Intelligence, Sales Prospecting

Our proprietary People Data is a mobile user dataset that connects anonymous IDs to a wide range of attributes, including demographics, device ownership, audience segments, key locations, and more. This rich dataset allows our partner brands to gain a comprehensive view of consumers based on their personas, enabling them to derive actionable insights swiftly.

People Data Graph

• Record Count: 900 Million
• Capturing Frequency: Once per Event
• Delivering Frequency: Once per Month
• Updated: Monthly

People Data

Reach Our extensive data reach covers a variety of categories, encompassing user demographics, Mobile Advertising IDs (MAID), device details, locations, affluence, interests, traveled countries, and more. Data Export Methodology We dynamically collect and provide the most updated data and insights through the best-suited method at appropriate intervals, whether daily, weekly, monthly, or quarterly.

Business Needs

Our People Data caters to various business needs, offering valuable insights for consumer analysis, data enrichment, sales forecasting, and retail analytics, empowering brands to make informed decisions and optimize their strategies.

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...

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.

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.

AI-Powered Event Sponsorship Analytics Market Outlook

According to our latest research, the global AI-Powered Event Sponsorship Analytics market size reached USD 1.82 billion in 2024, with a robust growth rate reflected by a CAGR of 19.2% from 2025 to 2033. The market is projected to attain a value of USD 8.67 billion by 2033, driven by the increasing demand for data-driven insights among event organizers and sponsors. This remarkable growth is underpinned by the rising adoption of artificial intelligence to optimize sponsorship strategies, enhance event ROI, and improve audience targeting, as per the latest research findings.

One of the primary growth factors propelling the AI-Powered Event Sponsorship Analytics market is the escalating need for actionable insights that help sponsors and organizers maximize the value of their investments. Traditional sponsorship analytics methods often fall short in providing real-time, granular data, making AI-powered solutions highly attractive. These advanced platforms leverage machine learning and natural language processing to analyze vast datasets, including social media interactions, audience demographics, and brand mentions, delivering comprehensive reports that inform future sponsorship decisions. The market is also benefitting from the proliferation of digital events and hybrid event formats, which generate even more data points for AI algorithms to process, thus enhancing the accuracy and relevance of analytics.

Another significant driver is the increasing pressure on brands and sponsors to demonstrate measurable ROI from their event investments. In an era where marketing budgets are scrutinized and every dollar spent must be justified, AI-powered analytics platforms offer a competitive edge by quantifying the impact of sponsorships in terms of brand exposure, audience engagement, and conversion rates. These platforms can track and attribute audience interactions across multiple channels, providing sponsors with detailed insights into which activations and touchpoints are delivering the highest value. As a result, both sponsors and event organizers are increasingly relying on AI-powered tools to guide their sponsorship strategies and negotiate better deals.

Furthermore, the integration of AI in event sponsorship analytics is fostering innovation in personalized marketing and audience segmentation. By leveraging predictive analytics and behavioral modeling, these platforms enable sponsors to tailor their messaging and activations to specific audience segments, increasing engagement and brand affinity. The ability to identify emerging trends and sentiment in real-time also allows organizers to make data-driven adjustments during events, optimizing outcomes for all stakeholders. The synergy between AI capabilities and the evolving demands of the event industry is expected to sustain market growth over the forecast period, with continuous advancements in AI algorithms and data integration further expanding the scope of analytics offerings.

From a regional perspective, North America currently dominates the AI-Powered Event Sponsorship Analytics market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The high adoption rate of advanced analytics technologies, coupled with the presence of major event organizers and tech-savvy sponsors, has positioned North America as the frontrunner in this market. However, Asia Pacific is anticipated to witness the fastest growth over the forecast period, driven by the rapid digitalization of the events industry and increasing investment in AI-powered solutions. Latin America and the Middle East & Africa are also emerging as promising markets, supported by a growing emphasis on event marketing and sponsorship analytics.

Component Analysis

The component segment of the AI-Powered Event Sponsorship Analytics market is bifurcated into software and services, each playing a pivotal role in driving the industry’s growth. Software solutions are at the core of this market, providing the analytical engin

As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

              Instagram users

              With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.

              Instagram features

              One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
              As of the second quarter of 2021, Snapchat had 293 million daily active users.

Overview:The VIP Actress and Models Service dataset is a comprehensive collection of fictional data meticulously curated for the purpose of managing and optimizing a high-end service catering to the needs of clients seeking exclusive experiences with renowned actresses and models. This dataset serves as a valuable resource for service providers in this niche industry, offering insights into customer preferences, service utilization, and satisfaction levels.Dataset Fields:Customer_ID: A unique identifier for each customer.Customer_Name: The name of the customer.Customer_Age: The age of the customer.Customer_Gender: The gender of the customer (e.g., Male, Female, Non-binary).Customer_Location: The location of the customer (e.g., City, State, Country).Customer_Email: The email address of the customer.Customer_Phone: The phone number of the customer.Service_Type: The type of service requested by the customer (e.g., Actress, Model).Service_Date: The date on which the service was requested.Service_Duration: The duration of the service in hours.Service_Rate: The rate charged for the service.Service_Requested_Actress_Model: The name of the requested actress or model.Service_Description: Additional details or notes about the service request.Payment_Status: The payment status (e.g., Paid, Pending, Refunded).Customer_Review: A customer review or feedback on the service.Customer_Rating: The rating provided by the customer (e.g., on a scale of 1 to 5).Use Cases:Service Optimization: Service providers can use this dataset to analyze customer preferences and tailor offerings accordingly, ensuring a personalized experience.Financial Analysis: By examining payment statuses and rates, businesses can track revenue and financial performance.Customer Satisfaction: Customer reviews and ratings enable evaluation of service quality and areas for improvement.Market Insights: Geographical and demographic data can inform expansion strategies and target audience selection.Important Notes:This dataset is entirely fictitious and intended for demonstration and analytical purposes only.Any resemblance to real individuals or entities is purely coincidental.Ensure compliance with all relevant privacy and data protection regulations when using this dataset.The VIP Actress and Models Service dataset is a valuable asset for businesses looking to excel in the luxury entertainment industry by providing top-tier services tailored to the unique desires of their clientele.http://callgirlsmanali.comhttp://trishadehradun.inhttp://callgirlsandheri.inhttp://callgirlsinharidwar.comhttp://callgirlsinharidwar.inhttp://callgirlsinpunee.inhttp://muskangirlsdwarka.inhttps://escortsindwarkaa.inhttps://rishikeshgirls.inhttp://shipranoida.inhttps://singledate.inhttp://girlsingurgaon.inhttp://girlsinindirapuram.comhttp://mumbaimodels.orghttp://callgirlgurgaon.inhttp://callgirlrishikesh.inhttp://callgirlharidwar.inhttp://callgirlujjain.inhttps://callgirlsaket.inhttp://akankshagurgaon.inhttp://callgirlmussooriee.inhttps://callgirlharidwarr.inhttp://callgirlagra.inhttps://callgirlsudaipur.inhttps://callgirlsodala.inhttp://saltlake.callgirlsinpunee.inhttps://callgirldelhii.in

The present dataset is generated in the frame of the Horizon 2020 project "InnORBIT: Empowering innovation intermediaries to generate sustainable initiatives to accelerate the commercialisation of space innovation" (innorbit.eu). This dataset describes the InnORBIT project's dissemination and communication plan and also includes the data collected from dissemination and communication activities to measure the progress against the project's targets for outreach during the first 18 months of project implementation (January 1st, 2021 - June 30th, 2022). This dataset will be updated in a second and final version, after the end of InnORBIT's grant duration in July 2023. The final version will provide a full dataset accounting for the project's outreach activities. This first version of the dataset contains the following files and documents: [InnORBIT-DisseminationCommunicationPlan_v2_20220929.pdf]: Final version of the project's Dissemination, Awareness raising and Communication Plan (DACP), that describes the key target audiences, key messages and value offered by InnORBIT through in terms of knowledge, services and solutions boosting entrepreneurship in the space industry and the digital tools offered via the InnORBIT digital toolbox. The InnORBIT DACP also describes the channels, tools and activities employed to reach out effectively the project's target groups. The core Key Performance Indicators (KPIs) that indicate the performance level of the project's strategy and indicates areas for improvement are outlined. The updated version also outlines the achievements of the project's dissemination for the first 18 months of implementation (January 2021 - June 2022). [InnORBIT_DisseminationActivities_Data_20220929. xlsx]: A spreadsheet used to collect raw data about the project's dissemination activities, calculate the InnORBIT's KPIs for Dissemination and Communication to track progress against targets. The data span from January 1st, 2021 to June 30th, 2022. [InnORBIT-WebsiteAnalytics-AudienceOverview_20220929.pdf]: A Google Analytics report summarising InnORBIT website's audience demographics and overall page performance (visits, sessions, users). The data span from January 1st, 2021 to June 30th, 2022. [InnORBIT-WebsiteAnalytics-AudienceAcquisition_20220929.pdf]: A Google Analytics report summarising the main sources generating traffic for the InnORBIT website and the bahaviour of users coming from each source. The data span from January 1st, 2021 to June 30th, 2022. [InnORBIT-WebsiteAnalytics-AudienceBehaviour_20220929.pdf]: A Google Analytics report providing further insight on users' behaviour when using the InnORBIT website. The data span from January 1st, 2021 to June 30th, 2022.

Living Identity™ LATAM delivers 379M verified identity and lifestyle profiles across Brazil, Mexico, and Ecuador. This dataset combines core identity fields with geo-coded behavioral, demographic, and affluence signals — enabling precise audience analytics, segmentation, and KYC compliance. Designed for agencies, retailers, and financial institutions expanding across LATAM, the data is privacy-first, updated monthly, and securely hosted on-premise.

➤ Optimized For: ・Strategic marketing and audience segmentation ・Real-time KYC and identity verification ・Location-based targeting and behavioral modeling ・Market expansion planning in LATAM ・Predictive analytics using lifestyle and mobility signals

➤ Designed For: Marketing & Media Agencies Target LATAM audiences with data-driven precision using lifestyle, mobility, and demographic overlays.

Retailers & E-Commerce Platforms Launch smarter campaigns and geospatial expansion using verified identity + behavior data.

Financial Institutions & Fintechs Enable digital onboarding, KYC, and enrichment for emerging LATAM markets.

Analytics & AI Teams Train segmentation and targeting models with consumer-level identity and lifestyle attributes.

Audience Intelligence & Research Firms Run advanced modeling using behavioral segmentation across key LATAM demographics.

➤ Key Highlights: ・379M verified profiles across Brazil, Mexico, and Ecuador ・Includes ID, contact info, mobility, affluence, and lifestyle attributes ・Geo-coded and updated monthly ・Hosted on-premise, fully compliant with GDPR, LGPD, and PDPA ・Ideal for KYC, marketing, segmentation, and consumer intelligence

Delivered by 1datapipe®, the global leader in structured identity and lifestyle intelligence. Pricing and additional samples available upon request.