21 datasets found
  1. d

    Consumer Marketing Data | Comprehensive Data of Consumer Marketing Insights...

    • datarade.ai
    .csv, .xls, .txt
    Updated Sep 11, 2024
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    VisitIQ™ (2024). Consumer Marketing Data | Comprehensive Data of Consumer Marketing Insights | Database & Dataset [Dataset]. https://datarade.ai/data-products/visitiq-consumer-marketing-data-comprehensive-data-of-co-visitiq
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    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Sep 11, 2024
    Dataset authored and provided by
    VisitIQ™
    Area covered
    United States of America
    Description

    At VisitIQ™, we provide a wealth of consumer marketing data to help businesses unlock deeper insights and optimize their B2C strategies. Our extensive and meticulously curated datasets are designed to provide a 360-degree view of your target consumers, combining a wide range of behavioral, demographic, and psychographic data points to deliver actionable insights that drive measurable results.

    Our comprehensive consumer marketing database is built to fuel data-driven marketing strategies. With our rich behavioral insights, you can understand not just who your customers are, but also how they interact with your brand, what they are looking for, and what motivates their purchasing decisions. By tracking online and offline behaviors, preferences, purchase history, and engagement patterns, VisitIQ™ enables you to segment your audience more effectively and craft personalized marketing messages that resonate with your ideal customer profiles.

    In addition to behavioral insights, our datasets provide detailed demographic information, including age, gender, location, income level, education, and household characteristics. This allows you to pinpoint your marketing efforts with incredible precision, reaching the right audience with the right message at the right time. Our data also includes psychographic attributes, such as lifestyle preferences, interests, and values, providing a deeper understanding of what drives consumer behavior and helping you create more compelling and relevant content.

    VisitIQ's™ platform integrates seamlessly with your existing marketing stack, enabling you to utilize our consumer marketing data across multiple channels, from digital and social media to email and direct mail. With our data, you can improve targeting, increase engagement, reduce customer acquisition costs, and ultimately achieve a higher return on your marketing investment.

    Whether you’re looking to attract new customers, retain existing ones, or re-engage lapsed consumers, VisitIQ™ provides the data you need to build effective, data-driven B2C marketing strategies. Our comprehensive datasets empower you to make informed decisions, optimize your marketing campaigns in real-time, and drive successful outcomes.

    Unlock the full potential of your consumer marketing efforts with VisitIQ™. Transform your approach with powerful insights, sharpen your competitive edge, and achieve unparalleled marketing success.

  2. Consumer Sentiment Data | Global Audience Insights | Psychographic Profiles...

    • datarade.ai
    Updated Oct 27, 2021
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    Success.ai (2021). Consumer Sentiment Data | Global Audience Insights | Psychographic Profiles & Trends | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/consumer-sentiment-data-global-audience-insights-psychogr-success-ai
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    United States
    Description

    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...
  3. b

    Data: Demographic and psychographic drivers of acceptance of pest control...

    • data.bioheritage.nz
    xlsx
    Updated Jul 29, 2021
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    BioHeritage Miscellaneous (2021). Data: Demographic and psychographic drivers of acceptance of pest control technologies [Dataset]. https://data.bioheritage.nz/dataset/drivers-acceptance-pest-control-technologies
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    xlsx(26642), xlsx(8714)Available download formats
    Dataset updated
    Jul 29, 2021
    Dataset provided by
    BioHeritage Miscellaneous
    Description

    Data associated with paper Eppink, F., P. Walsh, and E. MacDonald. 2021. Demographic and psychographic drivers of public acceptance of novel invasive pest control technologies. Ecology and Society 26(1):31. https://doi.org/10.5751/ES-12301-260131

  4. iFlix movie streaming dataset

    • kaggle.com
    Updated Jan 8, 2020
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    Aung Pyae (2020). iFlix movie streaming dataset [Dataset]. https://www.kaggle.com/aungpyaeap/movie-streaming-datasets-iflix/discussion
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 8, 2020
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Aung Pyae
    Description

    users.csv User_id: Unique identifier of user Country_code: Country code where the user registered assets.csv Show_type: Type of content, whether the asset is a movie or an episode of a TV series Genre: Genre of content Running_miutes: Runtime of content (Playable number of minutes) Source_language: Production language of content Asset_id: Unique identifier of video content at the most granular level (a movie or an episode of a TV series) Season_id: Unique identifier of content at season level. This is only applicable to TV series Series_id: Unique identifier of content at series level. This is only applicable to TV series Studio_id: Unique identifier of production studio for the content plays.csv Platform: Platform of consumption Minutes_viewed : Total number of minutes viewed, rounded to the nearest integer (0 means less than 30 seconds) Demographics.csv Psychographics.csv The dataset identifies psychographic and demographic tags about some iflix users. Each user-tag pair has an associated confidence score (1 is the highest, and 0 is the lowest confidence). Each trait can have up to 3 levels, depending on its granularity. Some traits can be identified by only considering the first two levels. At the same time, there are others that make more sense when all the three levels are considered, e.g., ‘iflix Viewing Behaviour’ is a level 2 psychographic trait that only makes sense when it is looked at in combination with the level 3 traits corresponding to it (‘casual,’ ‘player’ and ‘addict’). These traits represent different levels of viewing behavior of iflix users. Casual users have less than five viewing days in a month, player users have 5 to 12 viewing days in a month, and people with an addiction have more than 12 viewing days in a month. Traits are available corresponding to a user_id in the dataset only if we have certain confidence that the user belongs to the trait. Column and Description Level_1: Identifies the first level of the trait (psychologic or demographic) Level_2: Identifies the second level of the trait (e.g., Music Lovers, Movies Lovers) Level_3 : Identifies the third level of the trait, if available/relevant (e.g. Malay Movies Lovers, Indonesian TV Fans) Confidence_score: Confidence in associating the said trait (level_1, level_2, level_3) with the user

  5. d

    Stowell Datasets Digital Archive: Springfield, Illinois, USA

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    + more versions
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    Harvard Dataverse (2023). Stowell Datasets Digital Archive: Springfield, Illinois, USA [Dataset]. http://doi.org/10.7910/DVN/J0K217
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    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Time period covered
    Jan 1, 2005
    Area covered
    Springfield, United States
    Description

    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.

  6. d

    Demographic Data | USA Coverage

    • datarade.ai
    .csv
    Updated Jun 19, 2025
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    BIGDBM (2025). Demographic Data | USA Coverage [Dataset]. https://datarade.ai/data-products/bigdbm-us-consumer-demographics-core-package-bigdbm
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    .csvAvailable download formats
    Dataset updated
    Jun 19, 2025
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    The Consumer Demographic database is comprised of over 80 sources and includes over 400 different data points for each individual in a household with complete PII. The fields provided include demographics, psychographic, lifestyle criteria, buying behavior, and real property identification.

    Each record is ranked by confidence and only the highest quality data is used. The database is multi-sourced and contains both compiled and originated U.S. data. Additionally, the data goes through intensive cleansing including deceased processing and NCOA.

    BIGDBM Privacy Policy: https://bigdbm.com/privacy.html

  7. Geo-credit score values in the U.S. 2020, by income

    • statista.com
    Updated May 31, 2022
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    Statista (2022). Geo-credit score values in the U.S. 2020, by income [Dataset]. https://www.statista.com/statistics/1048452/geo-credit-scores-of-americans-by-income/
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    Dataset updated
    May 31, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    United States
    Description

    As of March 2020, over three percent of Americans were earning over 100,000 U.S. dollars and had a score value of A, which corresponds to traditional credit score of at least 820. The most common credit score value for those earning between 50,000 and 74,999 U.S. dollars is F, which equals a traditional credit score between 720 and 739. This proprietary data from Infutor shows the credit-worthiness of consumers. They utilized 1,500 proprietary demographic, psychographic, attitudinal, econometric and summarized credit attributes to build the GeoCredit Score database. GeoCredit scores ranges from A (highest traditional score value) to T (lowest traditional score value).

  8. s

    Consumer Behaviour CPG and Retail Canada

    • spotzi.com
    csv
    + more versions
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    Spotzi. Location Intelligence Dashboards for Businesses., Consumer Behaviour CPG and Retail Canada [Dataset]. https://www.spotzi.com/en/data-catalog/datasets/consumer-behaviour-cpg-and-retail/
    Explore at:
    csvAvailable download formats
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    License

    https://www.spotzi.com/en/about/terms-of-service/https://www.spotzi.com/en/about/terms-of-service/

    Time period covered
    2021
    Area covered
    Canada
    Description

    Advertising themed Insights based on the largest syndicated study in Canada, Vividata's SCC | Study of the Canadian Consumer. Spotzi analysed and processed the results of over 100.000+ questionnaires and with the use of complex machine learning algoritms created the go-to source for demographics, psychographics, lifestyle, life events, media, purchasing and brand preferences divided into 17 categories. By incorporating these extensive Vividata based datasets you will unleash the full potential of our Spotzi plans and lift your insights to the next level.

  9. s

    Consumer Behaviour Income and Finance Canada

    • spotzi.com
    csv
    Updated Nov 8, 2024
    + more versions
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    Spotzi. Location Intelligence Dashboards for Businesses. (2024). Consumer Behaviour Income and Finance Canada [Dataset]. https://www.spotzi.com/en/data-catalog/datasets/consumer-behaviour-income-and-finance/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    License

    https://www.spotzi.com/en/about/terms-of-service/https://www.spotzi.com/en/about/terms-of-service/

    Time period covered
    2021
    Area covered
    Canada
    Description

    Advertising themed Insights based on the largest syndicated study in Canada, Vividata's SCC | Study of the Canadian Consumer. Spotzi analysed and processed the results of over 100.000+ questionnaires and with the use of complex machine learning algoritms created the go-to source for demographics, psychographics, lifestyle, life events, media, purchasing and brand preferences divided into 17 categories. By incorporating these extensive Vividata based datasets you will unleash the full potential of our Spotzi plans and lift your insights to the next level.

  10. s

    Consumer Behaviour Home and Real Estate

    • spotzi.com
    Updated Nov 8, 2024
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    Spotzi. Location Intelligence Dashboards for Businesses. (2024). Consumer Behaviour Home and Real Estate [Dataset]. https://www.spotzi.com/nl/data-catalog/datasets/consumer-behaviour-home-and-real-estate/
    Explore at:
    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    License

    https://www.spotzi.com/en/about/terms-of-service/https://www.spotzi.com/en/about/terms-of-service/

    Time period covered
    2021
    Description

    Home & Real Estate themed Indexes based on the largest syndicated study in Canada, Vividata's SCC | Study of the Canadian Consumer.

    Spotzi analysed and processed the results of over 100.000+ questionnaires and with the use of complex machine learning algoritms created the go-to source for demographics, psychographics, lifestyle, life events, media, purchasing and brand preferences divided into 17 categories.

    By incorporating these extensive Vividata based datasets you will unleash the full potential of our Canadian Targeting and Profiling plans and lift your insights to the next level.

  11. H

    Stowell Datasets Digital Archive: San Diego, California, USA

    • dataverse.harvard.edu
    pdf, tsv
    Updated Feb 11, 2008
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    Harvard Dataverse (2008). Stowell Datasets Digital Archive: San Diego, California, USA [Dataset]. http://doi.org/10.7910/DVN/P33DLP
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    pdf(90427), pdf(175659), tsv(490862)Available download formats
    Dataset updated
    Feb 11, 2008
    Dataset provided by
    Harvard Dataverse
    Time period covered
    1993 - 1997
    Area covered
    United States
    Description

    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.

  12. h

    Stowell Datasets Digital Archive: Little Rock, Arkansas, USA

    • dataverse.harvard.edu
    pdf
    Updated Jan 30, 2008
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    Harvard Dataverse (2008). Stowell Datasets Digital Archive: Little Rock, Arkansas, USA [Dataset]. http://doi.org/10.7910/DVN/QJ0O0J
    Explore at:
    pdf(113862), pdf(90427)Available download formats
    Dataset updated
    Jan 30, 2008
    Dataset provided by
    Harvard Dataverse
    Time period covered
    2000 - 2004
    Description

    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.

  13. H

    Stowell Datasets Digital Archive: Des Moines, Iowa, USA

    • dataverse.harvard.edu
    pdf
    Updated Jan 28, 2008
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    Harvard Dataverse (2008). Stowell Datasets Digital Archive: Des Moines, Iowa, USA [Dataset]. http://doi.org/10.7910/DVN/6A8HGS
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    pdf(90427)Available download formats
    Dataset updated
    Jan 28, 2008
    Dataset provided by
    Harvard Dataverse
    Time period covered
    1993 - 2005
    Area covered
    Iowa, Des Moines, United States
    Description

    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.

  14. s

    Consumer Behaviour Home and Real Estate Canada

    • spotzi.com
    csv
    Updated Nov 8, 2024
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    Spotzi. Location Intelligence Dashboards for Businesses. (2024). Consumer Behaviour Home and Real Estate Canada [Dataset]. https://www.spotzi.com/en/data-catalog/datasets/consumer-behaviour-home-and-real-estate/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    License

    https://www.spotzi.com/en/about/terms-of-service/https://www.spotzi.com/en/about/terms-of-service/

    Time period covered
    2021
    Area covered
    Canada
    Description

    Advertising themed Insights based on the largest syndicated study in Canada, Vividata's SCC | Study of the Canadian Consumer. Spotzi analysed and processed the results of over 100.000+ questionnaires and with the use of complex machine learning algoritms created the go-to source for demographics, psychographics, lifestyle, life events, media, purchasing and brand preferences divided into 17 categories. By incorporating these extensive Vividata based datasets you will unleash the full potential of our Spotzi plans and lift your insights to the next level.

  15. Geo-credit score values in the U.S. 2020, by education level

    • statista.com
    Updated May 31, 2022
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    Statista (2022). Geo-credit score values in the U.S. 2020, by education level [Dataset]. https://www.statista.com/statistics/1048479/geo-credit-scores-of-americans-by-education-level/
    Explore at:
    Dataset updated
    May 31, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    United States
    Description

    As of March 2020, 0.53 percent of Americans had completed graduate school and had a score value of A, which corresponds to traditional credit score of at least 820. They utilized 1,500 proprietary demographic, psychographic, attitudinal, econometric and summarized credit attributes to build the GeoCredit Score database. GeoCredit scores ranges from A (highest traditional score value) to T (lowest traditional score value).

  16. s

    Consumer Behaviour Dining and Restaurants Canada

    • spotzi.com
    csv
    Updated Mar 9, 2023
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    Spotzi. Location Intelligence Dashboards for Businesses. (2023). Consumer Behaviour Dining and Restaurants Canada [Dataset]. https://www.spotzi.com/en/data-catalog/datasets/consumer-behaviour-dining-and-restaurants/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Mar 9, 2023
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    License

    https://www.spotzi.com/en/about/terms-of-service/https://www.spotzi.com/en/about/terms-of-service/

    Time period covered
    2021
    Area covered
    Canada
    Description

    Advertising themed Insights based on the largest syndicated study in Canada, Vividata's SCC | Study of the Canadian Consumer. Spotzi analysed and processed the results of over 100.000+ questionnaires and with the use of complex machine learning algoritms created the go-to source for demographics, psychographics, lifestyle, life events, media, purchasing and brand preferences divided into 17 categories. By incorporating these extensive Vividata based datasets you will unleash the full potential of our Spotzi plans and lift your insights to the next level.

  17. H

    Stowell Datasets Digital Archive: Jacksonville, Florida, USA

    • dataverse.harvard.edu
    pdf, tsv
    Updated Jan 28, 2008
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    Harvard Dataverse (2008). Stowell Datasets Digital Archive: Jacksonville, Florida, USA [Dataset]. http://doi.org/10.7910/DVN/D0HIX1
    Explore at:
    tsv(397066), pdf(90427), pdf(63420)Available download formats
    Dataset updated
    Jan 28, 2008
    Dataset provided by
    Harvard Dataverse
    Area covered
    Jacksonville
    Description

    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.

  18. a

    2016 USA Organic Food Consumption (Washington, DC)

    • hub.arcgis.com
    Updated Jun 20, 2017
    + more versions
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    Blue Raster (2017). 2016 USA Organic Food Consumption (Washington, DC) [Dataset]. https://hub.arcgis.com/maps/24788660719842beba681980fac6f431
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    Dataset updated
    Jun 20, 2017
    Dataset authored and provided by
    Blue Raster
    Area covered
    Description

    This layer shows the market potential for an adult to regularly eat organic food in the U.S. in 2016 in a multiscale map (by country, state, county, ZIP Code, tract, and block group). The pop-up is configured to include the following information for each geography level:Market Potential Index and count of adults expected to regularly eat organic foodMarket Potential Index and count of adults expected to follow various dietary habitsEsri's 2016 Market Potential (MPI) data measures the likely demand for a product or service in an area. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product or service. An MPI compares the demand for a specific product or service in an area with the national demand for that product or service. The MPI values at the US level are 100, representing average demand for the country. A value of more than 100 represents higher demand than the national average, and a value of less than 100 represents lower demand than the national average. For example, an index of 120 implies that demand in the area is 20 percent higher than the US average; an index of 80 implies that demand is 20 percent lower than the US average. See Market Potential database to view the methodology statement and complete variable list.Esri's Psychographics & Advertising Data Collection includes measurements of environmental concern, buying habits such as propensity to buy American products, likelihood to have healthy habits, and advertisement awareness. The database includes an expected number of consumers and a Market Potential Index (MPI) for each product or service. See the United States Data Browser to view complete variable lists for each Esri demographics collection.Additional Esri Resources:U.S. 2016/2021 Esri Updated DemographicsEssential demographic vocabularyEsri's arcgis.com demographic map layers

  19. s

    Consumer Behaviour CPG and Retail

    • spotzi.com
    Updated Nov 10, 2020
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    Spotzi. Location Intelligence Dashboards for Businesses. (2020). Consumer Behaviour CPG and Retail [Dataset]. https://www.spotzi.com/nl/data-catalog/datasets/consumer-behaviour-cpg-and-retail/
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    Dataset updated
    Nov 10, 2020
    Dataset authored and provided by
    Spotzi. Location Intelligence Dashboards for Businesses.
    Time period covered
    2021
    Area covered
    Canada
    Description

    CPG & Retail themed Insights based on the largest syndicated study in Canada, Vividata's SCC | Study of the Canadian Consumer.

    Spotzi analysed and processed the results of over 100.000+ questionnaires and with the use of complex machine learning algoritms created the go-to source for demographics, psychographics, lifestyle, life events, media, purchasing and brand preferences divided into 17 categories.

    By incorporating these extensive Vividata based datasets you will unleash the full potential of our Canadian Targeting and Profiling plans and lift your insights to the next level.

  20. H

    Stowell Datasets Digital Archive: Baton Rouge, Louisiana, USA

    • dataverse.harvard.edu
    Updated Jan 28, 2008
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    Harvard Dataverse (2008). Stowell Datasets Digital Archive: Baton Rouge, Louisiana, USA [Dataset]. http://doi.org/10.7910/DVN/NXRSBH
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 28, 2008
    Dataset provided by
    Harvard Dataverse
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/NXRSBHhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/NXRSBH

    Time period covered
    2001 - 2003
    Area covered
    United States, Baton Rouge, Louisiana
    Description

    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.

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Close
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VisitIQ™ (2024). Consumer Marketing Data | Comprehensive Data of Consumer Marketing Insights | Database & Dataset [Dataset]. https://datarade.ai/data-products/visitiq-consumer-marketing-data-comprehensive-data-of-co-visitiq

Consumer Marketing Data | Comprehensive Data of Consumer Marketing Insights | Database & Dataset

Explore at:
.csv, .xls, .txtAvailable download formats
Dataset updated
Sep 11, 2024
Dataset authored and provided by
VisitIQ™
Area covered
United States of America
Description

At VisitIQ™, we provide a wealth of consumer marketing data to help businesses unlock deeper insights and optimize their B2C strategies. Our extensive and meticulously curated datasets are designed to provide a 360-degree view of your target consumers, combining a wide range of behavioral, demographic, and psychographic data points to deliver actionable insights that drive measurable results.

Our comprehensive consumer marketing database is built to fuel data-driven marketing strategies. With our rich behavioral insights, you can understand not just who your customers are, but also how they interact with your brand, what they are looking for, and what motivates their purchasing decisions. By tracking online and offline behaviors, preferences, purchase history, and engagement patterns, VisitIQ™ enables you to segment your audience more effectively and craft personalized marketing messages that resonate with your ideal customer profiles.

In addition to behavioral insights, our datasets provide detailed demographic information, including age, gender, location, income level, education, and household characteristics. This allows you to pinpoint your marketing efforts with incredible precision, reaching the right audience with the right message at the right time. Our data also includes psychographic attributes, such as lifestyle preferences, interests, and values, providing a deeper understanding of what drives consumer behavior and helping you create more compelling and relevant content.

VisitIQ's™ platform integrates seamlessly with your existing marketing stack, enabling you to utilize our consumer marketing data across multiple channels, from digital and social media to email and direct mail. With our data, you can improve targeting, increase engagement, reduce customer acquisition costs, and ultimately achieve a higher return on your marketing investment.

Whether you’re looking to attract new customers, retain existing ones, or re-engage lapsed consumers, VisitIQ™ provides the data you need to build effective, data-driven B2C marketing strategies. Our comprehensive datasets empower you to make informed decisions, optimize your marketing campaigns in real-time, and drive successful outcomes.

Unlock the full potential of your consumer marketing efforts with VisitIQ™. Transform your approach with powerful insights, sharpen your competitive edge, and achieve unparalleled marketing success.

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