Consumer Insurance Experience & Demographic Profile

This dataset provides a detailed view of how individuals engage with insurance products, paired with demographic and lifestyle attributes to enable powerful segmentation, behavioral analysis, and customer journey mapping. By combining real-world insurance experiences with contextual information about each respondent’s background and preferences, this dataset supports a wide range of data-driven decision-making for insurance providers, policy designers, marketing teams, and product strategists.

Value of the Dataset Understanding how consumers perceive and interact with insurance offerings is critical to building products that resonate and services that retain. This dataset offers that visibility across multiple dimensions—capturing not only what type of insurance consumers hold and how they purchased it, but also what drives their satisfaction, loyalty, and likelihood to switch. Paired with demographic details like income, education, family status, and lifestyle, this information becomes a foundation for more personalized outreach, better-designed offerings, and improved customer experiences.

Because the data reflects lived experiences across diverse markets, it is particularly valuable for benchmarking consumer sentiment in emerging economies, identifying service delivery gaps, or evaluating potential uptake of new policy formats such as digital or personalized insurance.

Example Use Cases 1. Targeted Product Design A health insurer looking to launch short-term, digital-first plans could filter this dataset for consumers with low policy tenure, high digital communication preference, and dissatisfaction with current providers. This segment would inform feature design and positioning.

1. Competitive Analysis A provider evaluating churn risk can identify patterns among users who have filed claims but report dissatisfaction—indicating operational areas that may be driving customer loss and where improvements could increase retention.

2. Communication Channel Optimization By analyzing preferred communication methods across different demographic segments, insurers can tailor outreach strategies (e.g., SMS vs. in-app chat) to improve engagement and reduce support costs.

3. Market Expansion & Localization International insurers can explore regional variations in satisfaction drivers, awareness levels, and price sensitivity to refine go-to-market strategies in countries like Senegal, Tanzania, or the UAE.

4. Personalized Policy Offer Design Using data on interest in personalized policies and lifestyle indicators, providers can build customizable offerings for consumers more likely to value flexibility, such as frequent travelers or those with irregular incomes.

Insurance-Specific Fields & Descriptions Current Insurance Type Captures the kind of insurance the individual currently holds, with a focus on health insurance in this dataset.

Purchase Method Indicates how the insurance was obtained—through an agent, online, employer, etc.—to understand acquisition channels.

Policy Length Duration of the current policy, categorized (e.g., less than 1 year, 1–3 years, more than 5 years) to analyze tenure-based behaviors.

Satisfaction Self-reported satisfaction with the current insurance provider, useful for benchmarking sentiment.

Top Factor in Choosing Provider Highlights what influenced the purchase decision most—such as coverage options, customer service, pricing, or brand reputation.

Policy Review Frequency Shows how often individuals revisit their policy details or compare with alternatives, revealing levels of engagement or passive behavior.

Filed Claim A yes/no indicator showing whether the consumer has ever filed a claim, useful for analyzing downstream service experiences.

Claim Satisfaction Measures satisfaction with how past claims were handled, providing insight into operational effectiveness.

Primary Value Sought Captures what consumers value most from their insurance—e.g., peace of mind, financial protection, access to quality care.

Likelihood to Recommend Acts as a proxy for Net Promoter Score (NPS), indicating brand advocacy and potential referral behavior.

Biggest Areas for Improvement Open-ended or multi-select responses identifying where insurers can do better—lower premiums, faster claims, more digital tools, etc.

Preferred Method of Communication Indicates how consumers want to be contacted—via online chat, phone, email, SMS—supporting channel strategy optimization.

Preferred Services Details the types of updates or services consumers want—such as claims status, policy changes, or coverage recommendations.

Insurance Awareness Score Self-reported awareness of how insurance works, including policy options, rights, and terms.

Interest in Personalized Policies Captures whether the individual is open to customized insurance plans, an important indicator for usage-ba...

Automatic Gender recognition

https://www.techgig.com/hackathon/colombiaonline

Introduction Demographic segmentation has been a key part of the marketing strategy for decades, and as more and more buyers conduct their research and make purchase decisions online, it's become even more pivotal to marketing's overall success. From highly targeted ad campaigns to personalized web pages for returning website visitors, it's now easier than ever to reach a specific persona, group, or individual online, and with so many companies competing for buyers' attention online today, knowing just where to find your prospects and how to best communicate with them is crucial. Under Demographic segmentation, marketing professionals divide the population based on demographic variables, such as age, gender, income, etc. The problem that we are trying to solve is Gender segmentation.

Gender Segmentation - Under gender segmentation, the database is divided into male or female. Both men and women have different interest in terms of shopping for various products such as apparel, cosmetics, perfumes, shoes, etc. and even food habits. The segmentation based on gender is important for lots of industries which have portfolios for both male as well as female. For example, Nike as a sportswear company has a separate portfolio for both male as well as female. As a company, Nike will have to come out with different strategies to market products differently for male and female. The company even has to create a separate segment for both men and women in the showroom itself. This is much evident if you go to an apparel showroom such as Zara, Marks & Spencers, etc.

Times Internet Limited is No 1 Premium Digital Publisher in the world with over 400 million monthly unique visitors, consuming 10K+ unique contents which are published daily generating 80 billion monthly pageviews. Since, most of TIL revenue comes from Digital Advertising where TIL focuses on serving relevant ads to its audiences. Hence, Gender Identification is very crucial for us in order to plan and execute successful marketing campaigns for brands and provide maximum ROI to our Advertisers. Unlike other social media platforms where users submit their personal details like gender, age, etc TIL is a publishing company where users consumes content without sharing their personal details. Hence, we need a solution to identify their gender by understanding how they interact with TIL digital contents. Problem Statement Automatic Gender recognition based on digital content reading pattern through Machine Learning.

Data There will be 2 data sets that would be shared with the participants for understanding the structure of the datasets, training their algorithm(s)/model(s) and to test their model and present their findings/results.

***Sample Data (for training) ***- To understand the structure of the data, so, that they can extract the information from sample data. File will contain fields for users from different gender and the content they had consumed, the participants have to analyse, understand and train their algorithm/model on this data.

***Testing Data ***- This is the system data (with certain modified fields, see Privacy Policy section), where the participants have to run their model and submit their results and presentation over the same. Data Set Download Data Set File Name Description Format Size UserIdToUrl.zip Url visited by user zip Urls_Json_Data.zip Urls details zip UserIdToGender_Train.csv User to gender data for training csv UserId_Test.csv User to gender data for testing csv sample_submission.csv Sample submission csv

Data Dictionary Here's a brief version of what you'll find in the data description file.

Variable Description userid User id gender Gender url Content URL title Title of the Content description Short Description of the Content long_description Long Description of the Content alt_titles Alternate Title of the Content brand Content Brand Name language Language of the Content Submission Model Implementation Findings & Insights of the model results of the above Presentation Evaluation Metric The score is calculated with the following formula:

Score = Number of correct predictions / Total records*100

Hotel customer dataset with 31 variables describing a total of 83,590 instances (customers). It comprehends three full years of customer behavioral data. In addition to personal and behavioral information, the dataset also contains demographic and geographical information. This dataset contributes to reducing the lack of real-world business data that can be used for educational and research purposes. The dataset can be used in data mining, machine learning, and other analytical field problems in the scope of data science. Due to its unit of analysis, it is a dataset especially suitable for building customer segmentation models, including clustering and RFM (Recency, Frequency, and Monetary value) models, but also be used in classification and regression problems.

Living Identity™ Southeast Asia (Demographic Data): Verified Identity and Lifestyle Intelligence Across 5 High-Growth Markets

Living Identity™ Southeast Asia provides access to 401 million verified consumer profiles across five of the fastest-growing Southeast Asian economies. Combining structured identity verification with rich lifestyle, location, and demographic data, this multi-country dataset is purpose-built for marketing strategy, audience analytics, KYC, and consumer intelligence applications.

Key Features:

• Volume: 401,000,000 verified records • Coverage: 5 strategic Southeast Asian countries • Historical Depth: 6 months of current, refreshed data • Attributes: Full name, address, phone, email, government ID (where available), geo-coded location, lifestyle behaviors, consumer interests • Location Precision: Geo-coded at high accuracy

Data Storage: Fully on-premise, with secure, compliant architecture What’s Inside: Profiles are structured around core identity data and enhanced with mobility, lifestyle segmentation, demographic classification, and public sector insights. This enables real-world, cross-channel consumer targeting, onboarding, and marketing optimization.

Primary Use Cases: • Marketing Strategy and Data-Driven Campaign Design • Location-Based Audience Analytics • Consumer Intelligence for Product and Market Expansion • Real-Time KYC and Identity Verification • Cross-Sell/Upsell Strategy Based on Lifestyle and Affluence Indicators

Ideal For: • Marketing and Media Agencies • Retailers, E-Commerce Platforms, and Payment Companies • Customer Intelligence and Analytics Teams • Audience Modeling and Predictive Analytics Specialists • Financial Services Firms Targeting Southeast Asia

Data Quality and Compliance: Living Identity™ Southeast Asia is built with regulatory alignment to GDPR, LGPD, PDPA, and relevant national frameworks, ensuring lawful data sourcing, privacy-first practices, and operational security.

Pricing and additional samples available upon request.

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

GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.

GIS Data attributes include:

1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.

2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.

3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.

4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.

6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain

Primary Use Cases for GapMaps GIS Data:

1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
3. Analyse your trade areas at a granular census block level using all the key metrics
4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
5. Target Marketing: Develop effective marketing strategies to acquire more customers.

6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

8. Network Planning

9. Customer (Risk) Profiling for insurance/loan approvals

10. Target Marketing

11. Competitive Analysis

12. Market Optimization

13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

14. Tenant Recruitment

15. Target Marketing

16. Market Potential / Gap Analysis

17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

18. Customer Profiling

19. Target Marketing

20. Market Share Analysis

We'll tailor a Twitch dataset to meet your unique needs, encompassing streamer profiles, viewer engagement metrics, streaming times, demographic data of viewers, follower counts, chat statistics, and other pertinent metrics.

Leverage our Twitch datasets for diverse applications to bolster strategic planning and market analysis. Scrutinizing these datasets enables organizations to grasp viewer preferences and streaming trends, facilitating nuanced content development and engagement initiatives. Customize your access to the entire dataset or specific subsets as per your business requisites.

Popular use cases involve optimizing content strategy based on streamer performance and viewer engagement, enhancing marketing strategies through targeted audience segmentation, and identifying and forecasting trends in the streaming community to stay ahead in the digital entertainment landscape.

We'll customize a Zomato dataset to align with your unique requirements, incorporating data on restaurant categories, customer reviews, pricing trends, popular dishes, demographic insights, sales figures, and other relevant metrics.

Leverage our Zomato datasets for various applications to strengthen strategic planning and market analysis. Examining these datasets enables organizations to understand consumer preferences and dining trends, facilitating refined menu offerings and marketing campaigns. Tailor your access to the complete dataset or specific subsets according to your business needs.

Popular use cases include optimizing menu assortment based on consumer insights, refining marketing strategies through targeted customer segmentation, and identifying and predicting trends to maintain a competitive edge in the restaurant and food service market.

Success.ai’s Audience Targeting Data API empowers your marketing, sales, and product teams with on-demand access to a vast dataset of over 700 million verified global profiles. By delivering rich demographic, firmographic, and behavioral insights, this API enables you to hone in on precisely the right audiences for your campaigns.

Whether you’re exploring new markets, optimizing ABM strategies, or refining personalization techniques, Success.ai’s data ensures your message reaches the most relevant prospects. Backed by our Best Price Guarantee, this solution is indispensable for maximizing engagement, conversion, and ROI in a competitive global environment.

Why Choose Success.ai’s Audience Targeting Data API?

1. Vast, Verified Global Coverage

   • Access a broad range of professional and consumer profiles spanning industries, regions, and roles.
   • Expand confidently into new markets and segments, supported by accurate, continuously updated data.

2. AI-Validated Accuracy

   • Depend on 99% accuracy through AI-driven validation processes, reducing wasted spend and improving campaign performance.
   • Trust that your targeting efforts are always based on the most current and reliable information available.

3. Continuous Data Refreshes

   • Receive real-time updates to ensure your contact lists remain relevant and reflective of evolving market conditions.
   • Swiftly adapt strategies to seasonal shifts, product launches, or changing buyer behaviors, maintaining long-term effectiveness.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, guaranteeing responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Engage with diverse, high-quality audiences from any industry or market segment.
• Demographic, Firmographic, and Behavioral Insights: Tailor campaigns with nuanced targeting strategies.
• Real-Time Data: Dynamically adjust outreach as market conditions evolve, ensuring relevance and timeliness.
• Best Price Guarantee: Achieve premium results at highly competitive prices, optimizing your ROI.

Key Features of the Audience Targeting Data API:

1. Granular Segmentation and Query

   • Filter audiences by demographics, industry, location, job role, purchasing patterns, and more.
   • Zero in on precisely the profiles that match your ideal customer profile (ICP) criteria, driving conversion and efficiency.

2. Instant Data Enrichment

   • Enhance existing CRM or marketing automation systems with continuously updated audience data, removing manual data imports and guesswork.
   • Maintain pristine data hygiene, ensuring your team always works with actionable intelligence.

3. Seamless Integration and Flexibility

   • Effortlessly incorporate the API into your existing workflows, marketing tools, or analytics platforms.
   • Adjust parameters, queries, and segmentation strategies as your business objectives evolve or market conditions shift.

4. AI-Driven Validation and Reliability

   • Leverage AI-powered verification to confirm data accuracy, reducing bounce rates and improving engagement outcomes.
   • Confidently invest resources in campaigns backed by verified, real-time data.

Strategic Use Cases:

1. Highly Personalized Campaigns

   • Use demographic and behavioral insights to craft tailored messages and offers.
   • Improve engagement, open rates, and conversions by delivering content that resonates with targeted segments.

2. ABM Strategies and Market Expansion

   • Identify and target key accounts or emerging market opportunities with precision.
   • Develop ABM campaigns that focus on decision-makers and influencers, accelerating deal velocity.

3. Product Launches and Seasonal Promotions

   • Quickly adapt targeting parameters to match seasonal trends, promotional periods, or new product introductions.
   • Engage ideal audiences at the most opportune moments, ensuring campaign relevance and impact.

4. Enhanced Competitive Advantage

   • Monitor audience shifts and competitor moves, refining segmentation and messaging proactively.
   • Stay a step ahead by anticipating audience needs and adjusting campaigns for maximum market resonance.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access top-tier audience targeting data at competitive prices, ensuring unparalleled value and ROI.

2. Seamless Integration

   • Incorporate the API into your current marketing stacks, simplifying workflows and improving team productivity.

3. Data Accuracy with AI Validation

   • Trust in 99% accuracy to guide data-driven decisions, enhance targeting, and achieve exceptional campaign performance.

4. Customizable and Scalable Solutions

   • Tailor datasets and segmentation parameters to align perfectly with your evolving business needs, product lines, and strategic imperatives.

Additional...

Dataset Description: Insurance Claims Prediction

Introduction: In the insurance industry, accurately predicting the likelihood of claims is essential for risk assessment and policy pricing. However, insurance claims datasets frequently suffer from class imbalance, where the number of non-claims instances far exceeds that of actual claims. This class imbalance poses challenges for predictive modeling, often leading to biased models favoring the majority class, resulting in subpar performance for the minority class, which is typically of greater interest.

Dataset Overview: The dataset utilized in this project comprises historical data on insurance claims, encompassing a variety of information about the policyholders, their demographics, past claim history, and other pertinent features. The dataset is structured to facilitate predictive modeling tasks aimed at accurately identifying the likelihood of future insurance claims.

Key Features: 1. Policyholder Information: This includes demographic details such as age, gender, occupation, marital status, and geographical location. 2. Claim History: Information regarding past insurance claims, including claim amounts, types of claims (e.g., medical, automobile), frequency of claims, and claim durations. 3. Policy Details: Details about the insurance policies held by the policyholders, such as coverage type, policy duration, premium amount, and deductibles. 4. Risk Factors: Variables indicating potential risk factors associated with policyholders, such as credit score, driving record (for automobile insurance), health status (for medical insurance), and property characteristics (for home insurance). 5. External Factors: Factors external to the policyholders that may influence claim likelihood, such as economic indicators, weather conditions, and regulatory changes.

Objective: The primary objective of utilizing this dataset is to develop robust predictive models capable of accurately assessing the likelihood of insurance claims. By leveraging advanced machine learning techniques, such as classification algorithms and ensemble methods, the aim is to mitigate the effects of class imbalance and produce models that demonstrate high predictive performance across both majority and minority classes.

Application Areas: 1. Risk Assessment: Assessing the risk associated with insuring a particular policyholder based on their characteristics and historical claim behavior. 2. Policy Pricing: Determining appropriate premium amounts for insurance policies by estimating the expected claim frequency and severity. 3. Fraud Detection: Identifying fraudulent insurance claims by detecting anomalous patterns in claim submissions and policyholder behavior. 4. Customer Segmentation: Segmenting policyholders into distinct groups based on their risk profiles and insurance needs to tailor marketing strategies and policy offerings.

Conclusion: The insurance claims dataset serves as a valuable resource for developing predictive models aimed at enhancing risk management, policy pricing, and overall operational efficiency within the insurance industry. By addressing the challenges posed by class imbalance and leveraging the rich array of features available, organizations can gain valuable insights into insurance claim likelihood and make informed decisions to mitigate risk and optimize business outcomes.

A global database of population segmentation 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 data trends for market research, audience targeting, and sales territory mapping.

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

Use cases for the Global Population Database (Consumer Data Data/Segmentation data)

• Ad targeting

• B2B Market Intelligence

• Customer analytics

• Marketing campaign analysis

• Demand forecasting

• Sales territory mapping

• Retail site selection

• Reporting

• Audience targeting

Segmentation data export methodology

Our location 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 Population 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.

This is one of over 400 major media market consumer surveys which have been gifted to Washington State University (WSU) by Leigh Stowell & Company, Inc. of Seattle, Washington, USA. This is a market research firm which specializes in providing newspapers, television affiliates and cable operators with market segmentation research pertinent to consumer purchasing patterns and the effective marketing of goods and services to program audiences. The data in the Stowell Archive were collected via random digit dialing and computer-aided telephone interviews (CATI). Most of the surveys focus on the marketing needs of mass media clients and contain demographics, psychographics, media exposure information, and purchasing behavior data about consumers in major metropolitan areas of the United States and Canada starting in 1989. The sample sizes of the surveys range from 500 to 3,000 respondents, averaging 1,000 observations per study. Data are available at the respondent level, and all observations are keyed to zip code or other geographic identifiers. Additional surveys are anticipated, with over twenty new media marke t studies being donated annually. The University's relationship with Leigh Stowell & Company, Inc. was cultivated by Dr. Nicholas Lovrich, Director of WSU's Division of Governmental Studies and Services (DGSS) and by Dr. John Pierce, former Dean of the WSU College of Liberal Arts over the course of a decade. DGSS collaborated with WSU Libraries Digital Services to process the gifted data files into this digital archive which features powerful search and download capabilities. Further refinement of the archive in accordance with the Data Documentation Initiative is progressing with support from the Office of the Provost, the College of Liberal Arts and the WSU Libraries. It is important to note that the year indicated by the study's title is the year that the original survey was published, and is not necessarily the year in which the interviews were conducted. Refer to the metadata field "Dates of Collection" to di scern the interview dates of each specific survey. Refer also to date fields within the data file itself.

Food festivals have been a growing tourism sector in recent years due to their contributions to a region’s economic, marketing, brand, and social growth. This study analyses the demand for the Bahrain food festival. The stated objectives were: i) To identify the motivational dimensions of the demand for the food festival, (ii) To determine the segments of the demand for the food festival, and (iii) To establish the relationship between the demand segments and socio-demographic aspects. The food festival investigated was the Bahrain Food Festival held in Bahrain, located on the east coast of the Persian Gulf. The sample consisted of 380 valid questionnaires and was taken using social networks from those attending the event. The statistical techniques used were factorial analysis and the K-means grouping method. The results show five motivational dimensions: Local food, Art, Entertainment, Socialization, and Escape and novelty. In addition, two segments were found; the first, Entertainment and novelties, is related to attendees who seek to enjoy the festive atmosphere and discover new restaurants. The second is Multiple motives, formed by attendees with several motivations simultaneously. This segment has the highest income and expenses, making it the most important group for developing plans and strategies. The results will contribute to the academic literature and the organizers of food festivals.

Living Identity™ LATAM: Verified Identity and Lifestyle Intelligence for Marketing and Customer Insights

Living Identity™ LATAM offers access to 243 million verified consumer profiles across two strategic Latin American markets. This structured, geo-coded dataset combines identity fundamentals with lifestyle, mobility, and demographic attributes — designed for precision audience analytics, smarter marketing strategies, and accurate KYC compliance.

Key Features: • Volume: 243,000,000 verified records • Coverage: 2 key LATAM countries • Historical Depth: 12 months of up-to-date behavioral and identity data • Attributes: Full name, government ID (where available), address, phone, email, mobility patterns, consumer interests, affluence indicators • Location Precision: Geo-coded data at high accuracy • Data Storage: Secure on-premise hosting with frequent updates

What’s Inside: Living Identity™ LATAM brings together structured identity verification with rich consumer behavior signals and lifestyle segmentation, enabling powerful marketing intelligence and audience targeting capabilities.

Primary Use Cases: • Strategic Marketing Intelligence and Campaign Optimization • Location-Based Audience Analytics • Consumer Intelligence and Behavioral Segmentation • Identity Verification and KYC Enhancement • Data-Driven Market Expansion Strategies

Ideal For: • Marketing and Media Agencies • Retailers and E-Commerce Platforms Targeting LATAM • Financial Services Firms Expanding in LATAM Markets • Customer Intelligence and Segmentation Teams • Audience Modeling and Predictive Analytics Groups

Data Quality and Compliance: Fully GDPR, LGPD, and PDPA-aligned, Living Identity™ LATAM ensures secure, ethical, and regulatory-approved identity and behavioral data sourcing — updated frequently to maintain real-time accuracy.

Pricing and additional samples available upon request.

This dataset offers insights into the vehicular landscape of Finland, allowing businesses to tailor their strategies based on the types of vehicles prevalent in specific regions and the fuel preferences of diverse demographics.

What is included?

At grid level, this car ownership dataset includes some of the following key features:

Inhabitants

• Total Number of Inhabitants

Vehicles by Type

• Busses
• Caravan
• Four-Wheeled Vehicles
• Light Quadricycles
• Mopeds
• Motorcycles
• Motor Machinery
• Passenger Cars (Company Owned)
• Passenger Cars
• Semi Trailers
• Snowmobiles
• Special Cars
• Three or Four Wheeler
• Tractors
• Trucks Vans

Vehicles by Weight

• Vehicles up to 750 kg
Vehicles heavier than 750 kg

• This data is accessible through our Spotzi Profiling and Targeting plans, and allows users to better understand the vehicular landscape of various global markets. With this car ownership data, users can gain the following insights:

  Vehicle Types

  • Marketers can use this data point to segment their Finnish audience based on the types of vehicles they own or are interested in. For example, they can target advertisements specifically towards owners of SUVs, sedans, trucks, etc.
  • Understanding vehicle types can help marketers tailor their messaging to highlight features and benefits that resonate with each segment. For instance, marketing messages for SUVs might emphasize spaciousness and adventure, while messages for compact cars might focus on fuel efficiency and urban maneuverability.

  Vehicle Weight

  • Data on vehicle weight can inform marketing strategies related to safety features, towing capabilities, and fuel efficiency. For example, marketers can highlight the safety benefits of heavier vehicles in family-oriented campaigns, emphasizing features like enhanced crash protection.
  • They can also target consumers in Finland interested in towing or hauling by promoting vehicles with higher weight capacities and towing capabilities.

  By utilizing these data points effectively, marketers can gain deeper insights into their target audience, refine their marketing strategies, and create more impactful campaigns that resonate with consumers needs and preferences.

• The dataset allows you to explore car ownership data categorized by postal codes, offering hyper-localized insights for businesses to target specific regions with tailored marketing strategies.

• Absolutely. The dataset provides insights into car ownership per capita, revealing ownership patterns based on population density. This information helps businesses tailor geomarketing strategies to suit the demographic intricacies of each location.

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...

This dataset offers insights into the vehicular landscape of Moldova, allowing businesses to tailor their strategies based on the types of vehicles prevalent in specific regions and the fuel preferences of diverse demographics.

What is included?

At grid grid level, this car ownership dataset includes some of the following key features:

Inhabitants

• Total Number of Inhabitants

Vehicles by Types

• Busses
• Passenger Cars
• Motorcycles
• Semi-Trailers
• Tractors
• Trailers
• Trucks

• This data is accessible through our Spotzi Profiling and Targeting plans, and allows users to better understand the vehicular landscape of various global markets. With this car ownership data, users can gain the following insights:

  Vehicle Types

  • Marketers can use this data point to segment their Moldovan audience based on the types of vehicles they own or are interested in. For example, they can target advertisements specifically towards owners of SUVs, sedans, trucks, etc.
  • Understanding vehicle types can help marketers tailor their messaging to highlight features and benefits that resonate with each segment. For instance, marketing messages for SUVs might emphasize spaciousness and adventure, while messages for compact cars might focus on fuel efficiency and urban maneuverability.

  By utilizing these data points effectively, marketers can gain deeper insights into their target audience, refine their marketing strategies, and create more impactful campaigns that resonate with consumers needs and preferences.

• The dataset allows you to explore car ownership data categorized by postal codes, offering hyper-localized insights for businesses to target specific regions with tailored marketing strategies.

• Absolutely. The dataset provides insights into car ownership per capita, revealing ownership patterns based on population density. This information helps businesses tailor geomarketing strategies to suit the demographic intricacies of each location.

Success.ai’s Consumer Marketing Data API empowers your marketing, analytics, and product teams with on-demand access to a vast and continuously updated dataset of consumer insights. Covering detailed demographics, behavioral patterns, and purchasing histories, this API enables you to go beyond generic outreach and craft tailored campaigns that truly resonate with your target audiences.

With AI-validated accuracy and support for precise filtering, the Consumer Marketing Data API ensures you’re always equipped with the most relevant data. Backed by our Best Price Guarantee, this solution is essential for refining your strategies, improving conversion rates, and driving sustainable growth in today’s competitive consumer landscape.

Why Choose Success.ai’s Consumer Marketing Data API?

1. Tailored Consumer Insights for Precision Targeting

   • Access verified demographic, behavioral, and purchasing data to understand what consumers truly value.
   • AI-driven validation ensures 99% accuracy, minimizing wasted spend and improving engagement outcomes.

2. Comprehensive Global Reach

   • Includes consumer profiles from diverse regions and markets, enabling you to scale campaigns and discover emerging opportunities.
   • Adapt swiftly to new markets, product launches, and shifting consumer preferences with real-time data at your fingertips.

3. Continuously Updated and Real-Time Data

   • Receive ongoing updates that reflect evolving consumer behaviors, interests, and market trends.
   • Respond quickly to seasonal changes, competitor moves, and industry disruptions, ensuring your campaigns remain timely and relevant.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, guaranteeing responsible and lawful data usage.

Data Highlights:

• Detailed Demographics: Age, gender, location, and income levels to refine targeting and messaging.
• Behavioral Insights: Interests, browsing patterns, and content consumption habits to anticipate consumer needs.
• Purchasing History: Understand consumer spending, brand loyalty, and product preferences to tailor promotions effectively.
• Real-Time Updates: Keep pace with evolving consumer tastes, ensuring your strategies remain forward-focused and competitive.

Key Features of the Consumer Marketing Data API:

1. Granular Targeting and Segmentation

   • Query the API to segment consumers by demographics, interests, past purchases, or engagement patterns.
   • Focus campaigns on the most receptive audiences, enhancing conversion rates and ROI.

2. Flexible and Seamless Integration

   • Easily integrate the API into CRM systems, marketing automation tools, or analytics platforms.
   • Streamline workflows and eliminate manual data imports, freeing resources for strategic initiatives.

3. Continuous Data Enrichment

   • Refresh consumer profiles with the latest data, ensuring every decision is backed by current insights.
   • Reduce data decay and maintain top-notch data hygiene to maximize long-term marketing effectiveness.

4. AI-Driven Validation

   • Rely on advanced AI validation techniques to guarantee high-quality data accuracy and reliability.
   • Increase confidence in your campaigns and decrease budget wasted on irrelevant targets.

Strategic Use Cases:

1. Highly Personalized Marketing Campaigns

   • Deliver tailored offers, recommendations, and content that align with individual consumer preferences.
   • Boost engagement and loyalty by making every touchpoint relevant and meaningful.

2. Market Expansion and Product Launches

   • Identify segments most receptive to new products or services, ensuring successful market entry.
   • Stay ahead of consumer demands, evolving your product line and marketing mix to meet changing preferences.

3. Competitive Analysis and Trend Forecasting

   • Leverage consumer insights to anticipate emerging trends and outpace competitors in capturing new markets.
   • Adjust marketing strategies proactively to capitalize on seasonal, cultural, or economic shifts.

4. Customer Retention and Loyalty Programs

   • Use historical purchase and engagement data to identify at-risk customers and implement retention strategies.
   • Cultivate brand advocates by delivering personalized offers and exclusive perks to loyal consumers.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality consumer marketing data at unmatched prices, ensuring maximum ROI for your outreach efforts.

2. Seamless Integration

   • Easily incorporate the API into existing workflows, eliminating data silos and manual data management.

3. Data Accuracy with AI Validation

   • Depend on 99% accuracy to guide data-driven decisions, refine targeting, and elevate your marketing initiatives.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus on specific demog...

The All CMS Data Feeds dataset is an expansive resource offering access to 118 unique report feeds, providing in-depth insights into various aspects of the U.S. healthcare system. With over 25.8 billion rows of data meticulously collected since 2007, this dataset is invaluable for healthcare professionals, analysts, researchers, and businesses seeking to understand and analyze healthcare trends, performance metrics, and demographic shifts over time. The dataset is updated monthly, ensuring that users always have access to the most current and relevant data available.

Dataset Overview:

118 Report Feeds: - The dataset includes a wide array of report feeds, each providing unique insights into different dimensions of healthcare. These topics range from Medicare and Medicaid service metrics, patient demographics, provider information, financial data, and much more. The breadth of information ensures that users can find relevant data for nearly any healthcare-related analysis. - As CMS releases new report feeds, they are automatically added to this dataset, keeping it current and expanding its utility for users.

25.8 Billion Rows of Data:

• With over 25.8 billion rows of data, this dataset provides a comprehensive view of the U.S. healthcare system. This extensive volume of data allows for granular analysis, enabling users to uncover insights that might be missed in smaller datasets. The data is also meticulously cleaned and aligned, ensuring accuracy and ease of use.

Historical Data Since 2007: - The dataset spans from 2007 to the present, offering a rich historical perspective that is essential for tracking long-term trends and changes in healthcare delivery, policy impacts, and patient outcomes. This historical data is particularly valuable for conducting longitudinal studies and evaluating the effects of various healthcare interventions over time.

Monthly Updates:

• To ensure that users have access to the most current information, the dataset is updated monthly. These updates include new reports as well as revisions to existing data, making the dataset a continuously evolving resource that stays relevant and accurate.

Data Sourced from CMS:

• The data in this dataset is sourced directly from the Centers for Medicare & Medicaid Services (CMS). After collection, the data is meticulously cleaned and its attributes are aligned, ensuring consistency, accuracy, and ease of use for any application. Furthermore, any new updates or releases from CMS are automatically integrated into the dataset, keeping it comprehensive and current.

Use Cases:

Market Analysis:

• The dataset is ideal for market analysts who need to understand the dynamics of the healthcare industry. The extensive historical data allows for detailed segmentation and analysis, helping users identify trends, market shifts, and growth opportunities. The comprehensive nature of the data enables users to perform in-depth analyses of specific market segments, making it a valuable tool for strategic decision-making.

Healthcare Research:

• Researchers will find the All CMS Data Feeds dataset to be a robust foundation for academic and commercial research. The historical data, combined with the breadth of coverage across various healthcare metrics, supports rigorous, in-depth analysis. Researchers can explore the effects of healthcare policies, study patient outcomes, analyze provider performance, and more, all within a single, comprehensive dataset.

Performance Tracking:

• Healthcare providers and organizations can use the dataset to track performance metrics over time. By comparing data across different periods, organizations can identify areas for improvement, monitor the effectiveness of initiatives, and ensure compliance with regulatory standards. The dataset provides the detailed, reliable data needed to track and analyze key performance indicators.

Compliance and Regulatory Reporting:

• The dataset is also an essential tool for compliance officers and those involved in regulatory reporting. With detailed data on provider performance, patient outcomes, and healthcare utilization, the dataset helps organizations meet regulatory requirements, prepare for audits, and ensure adherence to best practices. The accuracy and comprehensiveness of the data make it a trusted resource for regulatory compliance.

Data Quality and Reliability:

The All CMS Data Feeds dataset is designed with a strong emphasis on data quality and reliability. Each row of data is meticulously cleaned and aligned, ensuring that it is both accurate and consistent. This attention to detail makes the dataset a trusted resource for high-stakes applications, where data quality is critical.

Integration and Usability:

Ease of Integration:

• The dataset is provided in a CSV format, which is widely compatible with most data analysis tools and platforms. This ensures that users can easily integrate the data into their existing wo...

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...