100+ datasets found
  1. Sales data based on demographics

    • kaggle.com
    zip
    Updated Jan 12, 2023
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    The Devastator (2023). Sales data based on demographics [Dataset]. https://www.kaggle.com/datasets/thedevastator/demographical-shopping-purchases-data
    Explore at:
    zip(1541029 bytes)Available download formats
    Dataset updated
    Jan 12, 2023
    Authors
    The Devastator
    Description

    Demographical Shopping Purchases Data

    Analyzing customer purchasing patterns and preferences

    By Joseph Nowicki [source]

    About this dataset

    This dataset contains demographic information about customers who have made purchases in a store, including their name, IP address, region, age, items purchased, and total amount spent. Furthermore, this data can provide insights into customer shopping behaviour for the store in question - from their geographical information to the types of products they purchase. With detailed demographic data like this at hand it is possible to make strategic decisions regarding target customers as well as developing specific marketing campaigns or promotions tailored to meet their needs and interests. By gaining deeper understanding of customer habits through this dataset we unlock more possibilities for businesses seeking higher engagement levels with shoppers

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    How to use the dataset

    This dataset includes information such as customer's names, IP address, age, items purchased and amount spent. This data can be used to uncover patterns in spending behavior of shoppers from different areas or regions across demographics like age group or gender.

    Research Ideas

    • Analyze customer shopping trends based on age and region to maximize targetted advertising.
    • Analyze the correlation between customer spending habits based on store versus online behavior.
    • Use IP addresses to track geographical trends in items purchased from a particular online store to identify new markets for targeted expansion

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. Data Source

    License

    See the dataset description for more information.

    Columns

    File: Demographic_Data_Orig.csv | Column name | Description | |:---------------|:------------------------------------------------------------------------------------------------| | full.name | The full name of the customer. (String) | | ip.address | The IP address of the customer. (String) | | region | The region of residence of the customer. (String) | | in.store | A boolean value indicating whether the customer made the purchase in-store or online. (Boolean) | | age | The age of the customer. (Integer) | | items | The number of items purchased by the customer. (Integer) | | amount | The total amount spent by the customer. (Float) |

    Acknowledgements

    If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Joseph Nowicki.

  2. Target: consumer spending share in the U.S. in 2020, by race and ethnicity

    • statista.com
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    Statista, Target: consumer spending share in the U.S. in 2020, by race and ethnicity [Dataset]. https://www.statista.com/statistics/1201722/share-consumer-spending-target-united-states-by-race/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    United States
    Description

    In 2020, Hispanic consumers accounted for nearly ** percent of spending at Target, while African Americans represented nearly **** percent. Meanwhile, white consumers accounted for nearly ** percent of the company's consumer spending share.

  3. KPMG Customer Demography Cleaned Dataset

    • kaggle.com
    zip
    Updated Sep 25, 2022
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    HarishEdison (2022). KPMG Customer Demography Cleaned Dataset [Dataset]. https://www.kaggle.com/datasets/harishedison/kpmg-customer-demography-cleaned-dataset
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    zip(140162 bytes)Available download formats
    Dataset updated
    Sep 25, 2022
    Authors
    HarishEdison
    License

    https://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/

    Description

    This dataset was sourced from KPMG AU's Data Analytics virtual internship course on Forage

    Sprocket Pvt Ltd is a client of KPMG AU. Sprocket is a bike and bike accessories retail business. They need to find the right customer segment to target for marketing to boost revenue. The following dataset is of their customer demographics for the past 3 years.

    The original dataset of 3 separate sheets of Customer demographic, Transactions, and Customer Addresses was fully cleaned and merged using a power query. Data types of columns were changed, and values of certain columns which had illegal values were corrected using a standard approach. This final master dataset can be used for customer segmentation projects using clustering methods.

  4. d

    US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and...

    • datarade.ai
    Updated Jun 27, 2025
    + more versions
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    Giant Partners (2025). US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation [Dataset]. https://datarade.ai/data-products/us-consumer-demographic-data-269m-consumer-records-progr-giant-partners
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States of America
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific ta...

  5. Consumer Marketing Data API | Tailored Consumer Insights | Target with...

    • datarade.ai
    Updated Oct 27, 2021
    + more versions
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    Success.ai (2021). Consumer Marketing Data API | Tailored Consumer Insights | Target with Precision | Best Price Guarantee [Dataset]. https://datarade.ai/data-products/consumer-marketing-data-api-tailored-consumer-insights-ta-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2021
    Dataset provided by
    Area covered
    Vanuatu, Sweden, United Arab Emirates, Hong Kong, Senegal, Estonia, Turkey, Burundi, Philippines, Madagascar
    Description

    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...
  6. w

    Global Kroger Customer Market Research Report: By Customer Demographics (Age...

    • wiseguyreports.com
    Updated Oct 12, 2025
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    (2025). Global Kroger Customer Market Research Report: By Customer Demographics (Age Group, Income Level, Family Size, Gender), By Shopping Behavior (Frequency of Shopping, Preferred Shopping Channel, Product Purchase Patterns), By Product Preferences (Organic Products, Discounted Items, Brand Loyalty, Private Label Purchases), By Technology Adoption (Online Shopping, Mobile App Usage, Social Media Engagement) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/kroger-customer-market
    Explore at:
    Dataset updated
    Oct 12, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Oct 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 202424.6(USD Billion)
    MARKET SIZE 202525.4(USD Billion)
    MARKET SIZE 203535.0(USD Billion)
    SEGMENTS COVEREDCustomer Demographics, Shopping Behavior, Product Preferences, Technology Adoption, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSconsumer preferences shift, competitive pricing strategies, technological integration, sustainability focus, e-commerce growth
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDMetro AG, Costco Wholesale, Walmart, Target, Whole Foods Market, Trader Joe's, Aldi, Tesco, Amazon, Lidl, Ahold Delhaize, Safeway
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESE-commerce expansion for grocery delivery, Health and wellness product lines, Sustainable packaging initiatives, Personalized shopping experiences, Loyalty program enhancements
    COMPOUND ANNUAL GROWTH RATE (CAGR) 3.2% (2025 - 2035)
  7. Target brand profile in the United States 2023

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Target brand profile in the United States 2023 [Dataset]. https://www.statista.com/forecasts/1335702/target-grocery-stores-brand-profile-in-the-united-states
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 2023
    Area covered
    United States
    Description

    How high is the brand awareness of Target in the United States?When it comes to grocery store customers, brand awareness of Target is at **% in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Target in the United States?In total, **% of U.S. grocery store customers say they like Target.What is the usage share of Target in the United States?All in all, **% of grocery store customers in the United States use Target.How loyal are the customers of Target?Around **% of grocery store customers in the United States say they are likely to use Target again. Set in relation to the **% usage share of the brand, this means that **% of their customers show loyalty to the brand.What's the buzz around Target in the United States?In September 2023, about **% of U.S. grocery store customers had heard about Target in the media, on social media, or in advertising over the past three months. Have a look at our analyses of Target's brand KPIs by generation, as well as the most important life aspects of Target customers compared to non-customers of the brand.

  8. Consumer characteristics used by marketers in targeting worldwide 2021

    • statista.com
    Updated Feb 15, 2022
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    Statista (2022). Consumer characteristics used by marketers in targeting worldwide 2021 [Dataset]. https://www.statista.com/statistics/1345085/consumer-characteristics-define-target-segments/
    Explore at:
    Dataset updated
    Feb 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2021
    Area covered
    Worldwide
    Description

    During a survey carried out in November 2021 among marketers from ** countries worldwide, ** percent stated their organizations used past purchases to define target consumer segments. Consumer demographics, such as age, gender, income, or location, were used most often, named by ** percent of respondents.

  9. s

    Target Spend by Customer Profile Dataset

    • starzdata.com
    csv, xls
    Updated Sep 17, 2025
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    Starzdata (2025). Target Spend by Customer Profile Dataset [Dataset]. https://www.starzdata.com/segments/willingness-to-pay-estimator
    Explore at:
    xls, csvAvailable download formats
    Dataset updated
    Sep 17, 2025
    Dataset authored and provided by
    Starzdata
    License

    https://starzdata.com/platformhttps://starzdata.com/platform

    Area covered
    Global
    Variables measured
    city, gender, region, country, csp_code, urbanicity, age_bracket, wtp_range_eur, glp1_usage_pct, overweight_pct, and 28 more
    Measurement technique
    AI reasoning, web intelligence
    Description

    Willingness to Pay isn’t just about pricing — it’s about knowing who would buy, at what spend, and why. CMOs and consultants need fast answers to size a market or brief a launch.Panels take weeks and often miss behavior. With only your target segment and product brief, we estimate who’s concerned, who’s likely to buy, and how much they’d spend monthly — scored, sourced, and ready to activate.

  10. Retailers' target age demographic in the United Kingdom (UK) 2016

    • statista.com
    Updated May 1, 2016
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    Statista (2016). Retailers' target age demographic in the United Kingdom (UK) 2016 [Dataset]. https://www.statista.com/statistics/605951/retailer-target-demographic-age-uk/
    Explore at:
    Dataset updated
    May 1, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    United Kingdom
    Description

    This statistic looks at which age demographic retailers aim for in the United Kingdom in 2016. Of the retailers surveyed ** percent focus on the 18 to 34 year age group compared to just *** percent of the over ** market.

  11. Stop & Shop brand profile in the United States 2022

    • statista.com
    Updated Jul 9, 2025
    + more versions
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    Statista (2025). Stop & Shop brand profile in the United States 2022 [Dataset]. https://www.statista.com/forecasts/1335635/stop-and-shop-grocery-stores-brand-profile-in-the-united-states
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 17, 2022 - Aug 30, 2022
    Area covered
    United States
    Description

    How high is the brand awareness of Stop & Shop in the United States?When it comes to grocery store customers, brand awareness of Stop & Shop is at *** in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Stop & Shop in the United States?In total, ** of U.S. grocery store customers say they like Stop & Shop. However, in actuality, among the *** of U.S. respondents who know Stop & Shop, *** of people like the brand.What is the usage share of Stop & Shop in the United States?All in all, ** of grocery store customers in the United States use Stop & Shop. That means, of the *** who know the brand, *** use them.How loyal are the customers of Stop & Shop?Around ** of grocery store customers in the United States say they are likely to use Stop & Shop again. Set in relation to the ** usage share of the brand, this means that *** of their customers show loyalty to the brand.What's the buzz around Stop & Shop in the United States?In August 2022, about ** of U.S. grocery store customers had heard about Stop & Shop in the media, on social media, or in advertising over the past three months. Of the *** who know the brand, that's ***, meaning at the time of the survey there's little buzz around Stop & Shop in the United States.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  12. Loan Data Set

    • kaggle.com
    zip
    Updated Oct 2, 2020
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    Data_drinker (2020). Loan Data Set [Dataset]. https://www.kaggle.com/surya08084/loan-data-set
    Explore at:
    zip(1565723 bytes)Available download formats
    Dataset updated
    Oct 2, 2020
    Authors
    Data_drinker
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Dataset

    This dataset was created by Data_drinker

    Released under CC0: Public Domain

    Contents

  13. Target brand profile in the United States 2022

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Target brand profile in the United States 2022 [Dataset]. https://www.statista.com/forecasts/1252087/target-consumer-electronics-online-shops-brand-profile-in-the-united-states
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 15, 2022 - Jul 12, 2022
    Area covered
    United States
    Description

    How high is the brand awareness of Target in the United States?When it comes to consumer electronics online shop users, brand awareness of Target is at *** in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Target in the United States?In total, *** of U.S. consumer electronics online shop users say they like Target. However, in actuality, among the *** of U.S. respondents who know Target, *** of people like the brand.What is the usage share of Target in the United States?All in all, *** of consumer electronics online shop users in the United States use Target. That means, of the *** who know the brand, *** use them.How loyal are the customers of Target?Around *** of consumer electronics online shop users in the United States say they are likely to use Target again. Set in relation to the *** usage share of the brand, this means that *** of their customers show loyalty to the brand.What's the buzz around Target in the United States?In July 2022, about *** of U.S. consumer electronics online shop users had heard about Target in the media, on social media, or in advertising over the past three months. Of the *** who know the brand, that's ***, meaning at the time of the survey there's some buzz around Target in the United States.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  14. Target brand profile in the United States 2022

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Target brand profile in the United States 2022 [Dataset]. https://www.statista.com/forecasts/1241199/target-fashion-online-shops-brand-profile-in-the-united-states
    Explore at:
    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 15, 2022 - Jun 23, 2022
    Area covered
    United States
    Description

    How high is the brand awareness of Target in the United States?When it comes to fashion online shop users, brand awareness of Target is at *** in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Target in the United States?In total, *** of U.S. fashion online shop users say they like Target. However, in actuality, among the *** of U.S. respondents who know Target, *** of people like the brand.What is the usage share of Target in the United States?All in all, *** of fashion online shop users in the United States use Target. That means, of the *** who know the brand, *** use them.How loyal are the customers of Target?Around *** of fashion online shop users in the United States say they are likely to use Target again. Set in relation to the *** usage share of the brand, this means that *** of their customers show loyalty to the brand.What's the buzz around Target in the United States?In June 2022, about *** of U.S. fashion online shop users had heard about Target in the media, on social media, or in advertising over the past three months. Of the *** who know the brand, that's ***, meaning at the time of the survey there's some buzz around Target in the United States.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  15. Social Media Advertising Response Data

    • kaggle.com
    zip
    Updated Nov 28, 2025
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    Zahra Nusrat (2025). Social Media Advertising Response Data [Dataset]. https://www.kaggle.com/datasets/zahranusrat/social-media-advertising-response-data
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    zip(1497 bytes)Available download formats
    Dataset updated
    Nov 28, 2025
    Authors
    Zahra Nusrat
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context:

    Digital marketing platforms today rely heavily on user profiling to decide which advertisements should be displayed to which audience. Social networks collect demographic information such as age, gender, and income to understand user behavior and improve ad targeting. This dataset captures how different user demographics respond to online advertisements, making it valuable for studying customer behavior, marketing strategies, and purchase prediction.

    The dataset is widely used in machine learning education and projects because it is simple, clean, and ideal for building classification models. It helps beginners and professionals understand how demographic features influence a user’s decision to purchase a product after viewing an ad.

    Content :

    This dataset contains user demographic information and their response to an advertisement. Each row represents one individual from a social media platform, including:

    Age : The age of the user

    Estimated Salary : Approximate annual salary of the user

    Purchased : Target variable indicating whether the user bought the advertised product

    0 = No purchase

    1 = Purchase

    The dataset can be used for:

    • Predicting purchase behavior using machine learning models

    • Understanding how age and income affect ad response

    • Performing exploratory data analysis (EDA)

    • Demonstrating classification algorithms such as Logistic Regression, KNN, SVM, Trees, etc.

    • Practicing feature scaling, model training, evaluation, and visualization

  16. w

    Global Gauging the Success of the T Market Research Report: By Evaluation...

    • wiseguyreports.com
    Updated Sep 15, 2025
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    (2025). Global Gauging the Success of the T Market Research Report: By Evaluation Metrics (Return on Investment, Customer Satisfaction, Market Share, Brand Awareness), By Market Segmentation Type (Demographic Segmentation, Behavioral Segmentation, Geographic Segmentation), By Target Audience (Individual Consumers, Small Businesses, Large Enterprises, Non-Profit Organizations), By Data Collection Methods (Surveys, Focus Groups, Market Analysis Reports, Social Media Analytics) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/gauging-the-success-of-the-t-market
    Explore at:
    Dataset updated
    Sep 15, 2025
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Sep 25, 2025
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2023
    REGIONS COVEREDNorth America, Europe, APAC, South America, MEA
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20241951.2(USD Million)
    MARKET SIZE 20252056.5(USD Million)
    MARKET SIZE 20353500.0(USD Million)
    SEGMENTS COVEREDEvaluation Metrics, Market Segmentation Type, Target Audience, Data Collection Methods, Regional
    COUNTRIES COVEREDUS, Canada, Germany, UK, France, Russia, Italy, Spain, Rest of Europe, China, India, Japan, South Korea, Malaysia, Thailand, Indonesia, Rest of APAC, Brazil, Mexico, Argentina, Rest of South America, GCC, South Africa, Rest of MEA
    KEY MARKET DYNAMICSconsumer preferences, competitive pricing, product innovation, distribution channels, regulatory environment
    MARKET FORECAST UNITSUSD Million
    KEY COMPANIES PROFILEDNational Instruments, KROHNE, Schneider Electric, Endress+Hauser, Emerson Electric, Rockwell Automation, Yokogawa Electric, Honeywell, Fluke Corporation, General Electric, Siemens, ABB
    MARKET FORECAST PERIOD2025 - 2035
    KEY MARKET OPPORTUNITIESEmerging tea consumption markets, Health-conscious consumer trends, Innovative tea product development, Sustainable sourcing initiatives, Digital marketing strategies expansion
    COMPOUND ANNUAL GROWTH RATE (CAGR) 5.4% (2025 - 2035)
  17. Hy-Vee brand profile in the United States 2022

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Hy-Vee brand profile in the United States 2022 [Dataset]. https://www.statista.com/forecasts/1335633/hy-vee-grocery-stores-brand-profile-in-the-united-states
    Explore at:
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 17, 2022 - Aug 30, 2022
    Area covered
    United States
    Description

    How high is the brand awareness of Hy-Vee in the United States?When it comes to grocery store customers, brand awareness of Hy-Vee is at **% in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Hy-Vee in the United States?In total, *% of U.S. grocery store customers say they like Hy-Vee. However, in actuality, among the **% of U.S. respondents who know Hy-Vee, **% of people like the brand.What is the usage share of Hy-Vee in the United States?All in all, *% of grocery store customers in the United States use Hy-Vee. That means, of the **% who know the brand, **% use them.How loyal are the customers of Hy-Vee?Around *% of grocery store customers in the United States say they are likely to use Hy-Vee again. Set in relation to the *% usage share of the brand, this means that **% of their customers show loyalty to the brand.What's the buzz around Hy-Vee in the United States?In August 2022, about *% of U.S. grocery store customers had heard about Hy-Vee in the media, on social media, or in advertising over the past three months. Of the **% who know the brand, that's **%, meaning at the time of the survey there's little buzz around Hy-Vee in the United States.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  18. Beer Target Market

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Nov 1, 2025
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    IndexBox Inc. (2025). Beer Target Market [Dataset]. https://www.indexbox.io/search/beer-target-market/
    Explore at:
    docx, xls, xlsx, doc, pdfAvailable download formats
    Dataset updated
    Nov 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Nov 26, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Learn about the diverse and ever-growing beer market, including target demographics, types of beer, and marketing strategies to increase sales and brand awareness. From mainstream lagers to artisanal craft beer, there's something for everyone in this booming industry.

  19. Target Market for Cosmetics Industry

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Nov 1, 2025
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    IndexBox Inc. (2025). Target Market for Cosmetics Industry [Dataset]. https://www.indexbox.io/search/target-market-for-cosmetics-industry/
    Explore at:
    docx, pdf, xlsx, doc, xlsAvailable download formats
    Dataset updated
    Nov 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Nov 22, 2025
    Area covered
    World
    Variables measured
    Price CIF, Price FOB, Export Value, Import Price, Import Value, Export Prices, Export Volume, Import Volume
    Description

    Learn about the different segments of the cosmetics industry target market, including demographics, lifestyle, behavior, and personal values, to better understand how companies market their products to diverse audiences.

  20. d

    GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business...

    • datarade.ai
    .json, .csv
    Updated Aug 13, 2024
    + more versions
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    GapMaps (2024). GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data [Dataset]. https://datarade.ai/data-products/gapmaps-premium-demographic-data-by-ags-usa-canada-gis-gapmaps
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Canada, United States
    Description

    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

Share
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The Devastator (2023). Sales data based on demographics [Dataset]. https://www.kaggle.com/datasets/thedevastator/demographical-shopping-purchases-data
Organization logo

Sales data based on demographics

Analyzing customer purchasing patterns and preferences

Explore at:
zip(1541029 bytes)Available download formats
Dataset updated
Jan 12, 2023
Authors
The Devastator
Description

Demographical Shopping Purchases Data

Analyzing customer purchasing patterns and preferences

By Joseph Nowicki [source]

About this dataset

This dataset contains demographic information about customers who have made purchases in a store, including their name, IP address, region, age, items purchased, and total amount spent. Furthermore, this data can provide insights into customer shopping behaviour for the store in question - from their geographical information to the types of products they purchase. With detailed demographic data like this at hand it is possible to make strategic decisions regarding target customers as well as developing specific marketing campaigns or promotions tailored to meet their needs and interests. By gaining deeper understanding of customer habits through this dataset we unlock more possibilities for businesses seeking higher engagement levels with shoppers

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For more datasets, click here.

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How to use the dataset

This dataset includes information such as customer's names, IP address, age, items purchased and amount spent. This data can be used to uncover patterns in spending behavior of shoppers from different areas or regions across demographics like age group or gender.

Research Ideas

  • Analyze customer shopping trends based on age and region to maximize targetted advertising.
  • Analyze the correlation between customer spending habits based on store versus online behavior.
  • Use IP addresses to track geographical trends in items purchased from a particular online store to identify new markets for targeted expansion

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: Demographic_Data_Orig.csv | Column name | Description | |:---------------|:------------------------------------------------------------------------------------------------| | full.name | The full name of the customer. (String) | | ip.address | The IP address of the customer. (String) | | region | The region of residence of the customer. (String) | | in.store | A boolean value indicating whether the customer made the purchase in-store or online. (Boolean) | | age | The age of the customer. (Integer) | | items | The number of items purchased by the customer. (Integer) | | amount | The total amount spent by the customer. (Float) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Joseph Nowicki.

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