65 datasets found
  1. 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/
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    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.

  2. c

    Target groceries data

    • crawlfeeds.com
    csv, zip
    Updated Nov 9, 2024
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    Crawl Feeds (2024). Target groceries data [Dataset]. https://crawlfeeds.com/datasets/target-groceries-data
    Explore at:
    zip, csvAvailable download formats
    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Crawl Feeds
    License

    https://crawlfeeds.com/privacy_policyhttps://crawlfeeds.com/privacy_policy

    Description

    Introduction Unlock powerful insights with the Target Groceries Data dataset, featuring an extensive collection of over thousands of grocery products sold at Target stores across the USA. This dataset, available in CSV format, is ideal for analysts, researchers, and marketers who want to explore product details, pricing trends, and consumer preferences in one of the biggest retail chains in the United States.

    With detailed information on groceries from various categories, including fresh produce, packaged foods, snacks, beverages, and more, this dataset empowers you to perform in-depth market analysis, track product performance, and understand consumer shopping behaviors.

    Key Features of the Target Groceries Data Dataset

    The Target Groceries Data dataset provides a wide range of attributes that allow you to analyze grocery products across multiple dimensions. Key data points include:

    • Title: Name of the grocery product.
    • URL: Direct link to the product page on the Target website.
    • Brand: The brand associated with the product.
    • Main Image: Primary image of the product for easy visual identification.
    • SKU: Unique product identifier for inventory management.
    • Description: A detailed description of the product, including key features and uses.
    • Raw Description: The unprocessed, full product description as listed on the Target website.
    • GTIN13: Global Trade Item Number (GTIN13), a unique identifier for the product.
    • Currency: Currency used for the product price (usually USD for the USA).
    • Price: The listed price of the product.
    • Availability: Whether the product is in stock or out of stock.
    • Available Delivery Method: Options available for delivery (e.g., standard shipping, same-day delivery).
    • Available Branch: Locations where the product is available for pickup.
    • Primary Category: The main category the product falls under (e.g., Grocery, Household).
    • Sub Category 1, 2, 3: Additional category breakdowns for better classification (e.g., Snacks, Beverages, Organic).
    • Images: Additional product images.
    • Raw Specifications: The full list of product specifications in raw text format.
    • Specifications: Structured version of the product specifications for easy analysis.
    • Highlights: Key selling points or product features.
    • Raw Highlights: Raw text from product highlights.
    • Uniq ID: Unique identifier for each product record in the dataset.
    • Scraped At: Timestamp for when the data was scraped, ensuring data freshness.

    Why Use the Target Groceries Data?

    1. Comprehensive Market Research: Dive deep into the grocery market by analyzing product prices, availability, and consumer favorites across multiple categories.
    2. Pricing Strategy Insights: Leverage data on prices, discounts, and availability to assess competitive pricing strategies and optimize your own.
    3. Consumer Behavior Analysis: With product descriptions, highlights, and specifications, understand what influences consumer purchasing decisions.
    4. Product Performance Tracking: Analyze how products in various categories are performing, identify popular brands, and track trends over time using scraped_at timestamps.
    5. Optimized Inventory Management: Utilize SKU, availability, and delivery method data for efficient inventory tracking and management.

    How to Access the Dataset The Target Groceries Data is available in CSV format, making it easy to import into any data analysis tool for in-depth analysis. Whether you're a business strategist, data scientist, or researcher, this dataset offers everything you need to gain valuable insights into the grocery retail market.

    Conclusion Enhance your analysis of the grocery sector with the Target Groceries Data. With detailed attributes such as product titles, pricing, availability, and specifications, this dataset provides everything you need to make informed, data-driven decisions in the competitive grocery market.

  3. Target: sales share in the U.S. 2024, by product segment

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). Target: sales share in the U.S. 2024, by product segment [Dataset]. https://www.statista.com/statistics/255960/sales-share-of-target-in-north-america-by-product-segment/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    In the financial year 2024, 22.36 percent of Target Corporation's merchandise sales corresponded to the food and beverage segment. Meanwhile, household essentials represented 17.47 percent of the total merchandise sales. Merchandise sales represent the vast majority of Target's revenues. The company also has other streams of revenue, including credit card profit-sharing income from their arrangement with the TD Bank Group. Beauty at Target In a 2024 survey among Generation Z in the United States, 10 percent of teenage girls named Target as a shopping destination they visited to buy beauty products. This may not sound high, but it earned Target third place of all shops in the country, ahead of other major retailers Walmart and Amazon. It was, however, a considerable distance behind the two most popular destinations, specialist beauty brands Sephora and Ulta. These findings are reflected in a different study of the same retailers, with Target having the third lowest average age of female beauty consumers, at 44 years old. Gen Z clothing purchases There is also a large Generation Z market available to Target in the clothing category. In 2023, Gen Z consumers voted big box stores, such as Target and Walmart, as the second most popular shopping destination for apparel, with 16 percent of responses. This was only one percentage point behind online stores.

  4. U.S. Target.com shopping frequency 2017

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). U.S. Target.com shopping frequency 2017 [Dataset]. https://www.statista.com/statistics/748176/target-us-shopping-frequency/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2017
    Area covered
    United States
    Description

    This statistic presents the frequency of shopping on Target.com according to internet users in the United States as of August 2017. During the survey period, it was found that ***** percent of responding U.S. internet users shopped at Target.com several times a week.

  5. U

    USA Ecommerce Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Mar 4, 2025
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    Data Insights Market (2025). USA Ecommerce Market Report [Dataset]. https://www.datainsightsmarket.com/reports/usa-ecommerce-market-14779
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Discover the booming US e-commerce market! Our analysis reveals a 14.70% CAGR, driven by mobile shopping, diverse product categories, and major players like Amazon & Walmart. Explore market size, segmentation, and future trends to unlock growth opportunities. Recent developments include: May 2022- Home Depot announced the formation of Home Depot Ventures, a venture capital fund to promote early-stage startups that improve customer experience and home renovation. Furthermore, the $150 million funds will evaluate investments in businesses at various stages of development, emphasizing early and growth-stage startups that assist Home Depot customers and can scale., April 2022- In the United States, Apple finally offers the tools and accessories needed for self-servicing select iPhones. The company is now selling parts and components for the iPhone 12 series, iPhone 13 series, and the newly released 3rd Generation iPhone SE 2022 smartphones., April 2022- Amazon announced on Wednesday that it will build a solar park in Kent County as one of 37 new renewable energy projects worldwide to use renewable energy to power all of its activities by 2025, five years ahead of schedule., April 2022- Walmart honored Igloo's ancient legacy and commitment to "Made in the USA" with elected officials and prominent executives from both companies in attendance. In honor of this praise, Igloo designed the new Overland Series of coolers exclusively for Walmart, made in the United States., March 2022- Walmart Inc plans to hire more than 5,000 new associates for its tech hubs worldwide during the current fiscal year. Walmart Global Tech, the company's technology division, would be hiring for positions such as cybersecurity professional, product manager, and data scientist., June 2020- Apple's announcements and developments enhance the Apple platform and product experience. From macOS Big Sur, which boasts the most significant design overhaul since the launch of Mac OS X, to watchOS 7, iOS 14's new App Library, and iPadOS 14's expanded handwriting capabilities with Apple Pencil.. Key drivers for this market are: Growing Demand from Apparel and Footwear Industry., Rising Adoption of technologies (IOT,ML); Penetration of Internet and Smartphone Usage. Potential restraints include: Operational Compatibility Due to Growing Brand Value. Notable trends are: Increasing adoption of technologies.

  6. Consumer Behavior Data | Consumer Goods & Electronics Industry Leaders in...

    • datarade.ai
    Updated Jan 1, 2018
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    Success.ai (2018). Consumer Behavior Data | Consumer Goods & Electronics Industry Leaders in Asia, US, and Europe | Verified Global Profiles from 700M+ Dataset [Dataset]. https://datarade.ai/data-products/consumer-behavior-data-consumer-goods-electronics-industr-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    United States
    Description

    Success.ai’s Consumer Behavior Data for Consumer Goods & Electronics Industry Leaders in Asia, the US, and Europe offers a robust dataset designed to empower businesses with actionable insights into global consumer trends and professional profiles. Covering executives, product managers, marketers, and other professionals in the consumer goods and electronics sectors, this dataset includes verified contact information, professional histories, and geographic business data.

    With access to over 700 million verified global profiles and firmographic data from leading companies, Success.ai ensures your outreach, market analysis, and strategic planning efforts are powered by accurate, continuously updated, and GDPR-compliant data. Backed by our Best Price Guarantee, this solution is ideal for businesses aiming to navigate and lead in these fast-paced industries.

    Why Choose Success.ai’s Consumer Behavior Data?

    1. Verified Contact Data for Precision Engagement

      • Access verified email addresses, phone numbers, and LinkedIn profiles of professionals in the consumer goods and electronics industries.
      • AI-driven validation ensures 99% accuracy, optimizing communication efficiency and minimizing data gaps.
    2. Comprehensive Global Coverage

      • Includes profiles from key markets in Asia, the US, and Europe, covering regions such as China, India, Germany, and the United States.
      • Gain insights into region-specific consumer trends, product preferences, and purchasing behaviors.
    3. Continuously Updated Datasets

      • Real-time updates capture career progressions, company expansions, market shifts, and consumer trend data.
      • Stay aligned with evolving market dynamics and seize emerging opportunities effectively.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible use and legal compliance for all data-driven campaigns.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with industry leaders, marketers, and decision-makers in consumer goods and electronics industries worldwide.
    • Consumer Trend Insights: Gain detailed insights into product preferences, purchasing patterns, and demographic influences.
    • Business Locations: Access geographic data to identify regional markets, operational hubs, and emerging consumer bases.
    • Professional Histories: Understand career trajectories, skills, and expertise of professionals driving innovation and strategy.

    Key Features of the Dataset:

    1. Decision-Maker Profiles in Consumer Goods and Electronics

      • Identify and engage with professionals responsible for product development, marketing strategy, and supply chain optimization.
      • Target individuals making decisions on consumer engagement, distribution, and market entry strategies.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (consumer electronics, FMCG, luxury goods), geographic location, or job function.
      • Tailor campaigns to align with specific industry trends, market demands, and regional preferences.
    3. Consumer Trend Data and Insights

      • Access data on regional product preferences, spending behaviors, and purchasing influences across key global markets.
      • Leverage these insights to shape product development, marketing campaigns, and customer engagement strategies.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing and Demand Generation

      • Design campaigns tailored to consumer preferences, regional trends, and target demographics in the consumer goods and electronics industries.
      • Leverage verified contact data for multi-channel outreach, including email, social media, and direct marketing.
    2. Market Research and Competitive Analysis

      • Analyze global consumer trends, spending patterns, and product preferences to refine your product portfolio and market positioning.
      • Benchmark against competitors to identify gaps, emerging needs, and growth opportunities in target regions.
    3. Sales and Partnership Development

      • Build relationships with key decision-makers at companies specializing in consumer goods or electronics manufacturing and distribution.
      • Present innovative solutions, supply chain partnerships, or co-marketing opportunities to grow your market share.
    4. Product Development and Innovation

      • Utilize consumer trend insights to inform product design, pricing strategies, and feature prioritization.
      • Develop offerings that align with regional preferences and purchasing behaviors to maximize market impact.

    Why Choose Success.ai?

    1. Best Price Guarantee
      • Access premium-quality consumer behavior data at competitive prices, ensuring maximum ROI for your outreach, research, and ma...
  7. d

    Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US...

    • datarade.ai
    .csv, .xls
    + more versions
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    Consumer Edge, Vision Consumer Demographic Data | B2C Audience Purchase Behavior | US Transaction Data | 100M+ Cards, 12K+ Merchants, Industry, Channel [Dataset]. https://datarade.ai/data-products/consumer-edge-vision-demographic-spending-data-b2c-audience-consumer-edge
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States of America
    Description

    Demographics Analysis with Consumer Edge Credit & Debit Card Transaction Data

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

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

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

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

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

    Use Case: Demographics Analysis

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

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

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

    Corporate researchers and consumer insights teams use CE Vision for:

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

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

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

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

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

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

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

  8. 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

  9. Share of discount stores shoppers in the U.S. by generation 2025

    • statista.com
    Updated Apr 15, 2025
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    Statista (2025). Share of discount stores shoppers in the U.S. by generation 2025 [Dataset]. https://www.statista.com/statistics/1450627/discount-stores-shoppers-by-generation-us/
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2024 - Mar 21, 2025
    Area covered
    United States
    Description

    In 2025, consumers in the United States were surveyed about their regular food and everyday products shopping destinations. Among those who shopped at discount stores, ** percent of Millennials reported doing so, whereas the corresponding share for baby boomers was ** percent. Find this and more survey data in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

  10. d

    Persona | enrich 1st-party data with 350+ U.S. consumer personas

    • datarade.ai
    .csv, .txt
    Updated Oct 2, 2020
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    Unacast (2020). Persona | enrich 1st-party data with 350+ U.S. consumer personas [Dataset]. https://datarade.ai/data-products/personas-data-gravy-analytics
    Explore at:
    .csv, .txtAvailable download formats
    Dataset updated
    Oct 2, 2020
    Dataset provided by
    Gravy Analyticshttp://gravyanalytics.com/
    Authors
    Unacast
    Area covered
    United States of America
    Description

    Unacast Personas data is based on the verified, real-world visits of over 250 million mobile devices in the U.S. to millions of commercial places of interest.This includes 2,000+ leading brand locations, and over 1 million events each month. Companies use Unacast Personas in a wide range of applications, including consumer behavioral analysis, market research, segmentation analysis, company growth analysis, site and product selection, and competitive and cross-shopper insights to enhance customer intelligence and CDP data, personalize targeting and ad campaigns, and more.

    Off-the-shelf Personas data sets are available. Unacast can also provide customer Personas data sets based on your unique needs. This type of data is available via batch delivery into AWS S3. Unacast Personas can also be accessed for a set of device IDs or a custom geographic area on demand, via API.

    Location data is processed through Unacast's patented processing engine with Location Data Forensics – filtering and categorizing inaccurate and even fraudulent location signals. The final result? A comprehensive collection of cleansed, high-quality location data products that drive real results.

    Pricing can vary, so please reach out to us for an accurate quote.

  11. d

    Demographic Data | USA & Canada | Latest Estimates & Projections To Inform...

    • datarade.ai
    .json, .csv
    Updated Jun 24, 2024
    + more versions
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    GapMaps (2024). Demographic Data | USA & Canada | Latest Estimates & Projections To Inform Business Decisions | GIS Data | Map Data [Dataset]. https://datarade.ai/data-products/gapmaps-ags-usa-demographics-data-40k-variables-trusted-gapmaps
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Jun 24, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Canada, United States
    Description

    GapMaps premium demographic 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.

    Demographic Data attributes include:

    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.

    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.

    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.

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

    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.

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

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

    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 AGS Demographic 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

  12. Target: number of stores in the U.S. 2025, by state

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Target: number of stores in the U.S. 2025, by state [Dataset]. https://www.statista.com/statistics/1113279/total-number-of-target-stores-by-state-us/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of February 1, 2025, California was the state with the most Target stores in the United States, with *** stores. The company had a total of ***** stores open throughout the United States that year.

  13. Leading stores parents will likely visit for back to school shopping in the...

    • statista.com
    Updated May 24, 2024
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    Statista (2024). Leading stores parents will likely visit for back to school shopping in the U.S. 2024 [Dataset]. https://www.statista.com/statistics/1048437/leading-stores-for-moms-back-to-school-shopping-us/
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    Dataset updated
    May 24, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 24, 2024
    Area covered
    United States
    Description

    Over *** in five surveyed U.S. parents with children entering K-12 in the fall of 2024 planned on going to Walmart for their back-to-school supply shopping. Target and Dollar Tree were the second and third-most popular choices, with about ** and ** percent of survey respondents stating they were likely to shop there, respectively.

  14. Online Retail Market in the US by Product and Device - Forecast and Analysis...

    • technavio.com
    pdf
    Updated Mar 3, 2022
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    Technavio (2022). Online Retail Market in the US by Product and Device - Forecast and Analysis 2022-2026 [Dataset]. https://www.technavio.com/report/online-retail-market-industry-in-the-us-analysis
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    pdfAvailable download formats
    Dataset updated
    Mar 3, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2026
    Description

    Snapshot img

    The online retail market share in the US is expected to increase to USD 460.13 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 11.64%.

    The report extensively covers online retail market in the US segmentation by the following:

    Product - Apparel, footwear, and accessories, consumer electronics and electricals, food and grocery, home furniture and furnishing, and others
    Device - Smartphones and tablets and PCs
    

    The US online retail market report offers information on several market vendors, including Amazon.com Inc., Apple Inc., Best Buy Co. Inc., Costco Wholesale Corp., eBay Inc., Kroger Co., Target Corp., The Home Depot Inc., Walmart Inc., and Wayfair Inc. among others.

    This online retail market in the US research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches.

    What will the Online Retail Market Size in the US be During the Forecast Period?

    Download the Free Report Sample to Unlock the Online Retail Market Size in the US for the Forecast Period and Other Important Statistics

    Online Retail Market in the US: Key Drivers, Trends, and Challenges

    The growing seasonal and holiday sales is notably driving the online retail market growth in the US, although factors such as transportation and logistics may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the online retail industry in the US. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key US Online Retail Market Driver

    The growing seasonal and holiday sales is one of the key drivers supporting the US online retail market growth. For instance, from November 1 to December 24, e-commerce sales in the US increased by 11% in 2021, when compared to a massive 47.2% growth in the holiday season of 2020. E-commerce sales made up 20.9 % of total retail sales in the holiday season of 2021, slightly higher than 20.6 percent in 2020. Thanksgiving, Black Friday, and Cyber Monday are the days that see a high amount of online shopping. Apparel, footwear and accessories, consumer electronics, computer hardware, and toys are the largest gaining product categories during the holiday season. Consumers in the US spent $204.5 billion online in November and December 2021, up 8.6% over the same period in 2020. Such exciting sales and offers are driving the market growth.

    Key US Online Retail Market Trend

    Omni-channel retailing is one of the key US online retail market trends fueling the market growth. It is rapidly becoming the norm for many retailers in the US. It offers consumers the option to shop online and pick up the merchandise from the store nearest to their location on the same day. Retailers are observing a high web influence on their in-store sales. For instance, Best Buy is integrating its offline and online stores to boost revenues. As a part of its omnichannel strategy, the retailer is utilizing physical stores as distribution centers for online purchases. According to Best Buy, 40% of its online shoppers prefer picking up their purchases from physical stores. Best Buy also challenges online and discount retailers with its match-to-price strategy, claiming to offer gadgets at or below the price offered by competitors. Such strategies are expected to boost market growth during the forecast period.

    Key US Online Retail Market Challenge

    Transportation and logistics are some of the factors hindering the US online retail market growth. Product procurement or sourcing, shipment of ordered items, and delivery to customers are the three major processes where the intervention of transportation and logistics come into the picture. All these processes require a high investment of both time and money, which challenges the efficiency and effectiveness of retailers and their costing strategies. The higher cost incurred from transportation and logistics reduces the margin of retailers, and most of the time, retailers are unable to break even. Between rising fuel prices, driver shortages, as well as a governmental and societal push for increased digitization and sustainability, transport and logistics will continue to be under a lot of pressure. Such factors will negatively impact the market growth during the forecast period.

    This online retail market in the US analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.

    Who are the Major Online Retail Market Vendors in the US?

    The report analyzes the market’s competitive landscape and offers information on several market vendors, includi

  15. d

    SKU-Level Granular Email Receipt Data | Consumer Transaction Data for USA &...

    • datarade.ai
    Updated Jul 10, 2023
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    Measurable AI (2023). SKU-Level Granular Email Receipt Data | Consumer Transaction Data for USA & Continental Europe | Ecommerce / Food Delivery / Ride Hailing / Payments [Dataset]. https://datarade.ai/data-products/granular-e-receipt-transactional-data-for-usa-and-continental-measurable-ai
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    Dataset updated
    Jul 10, 2023
    Dataset authored and provided by
    Measurable AI
    Area covered
    United States
    Description

    Understand customer behaviour, competitive benchmarking, market share etc. using Measurable AI's email receipt dataset. We own a proprietary consumer panel whereby we can access the email accounts of over 2 million users. We are GDPR compliant as we expressly receive consumer consent via our two consumer apps we built in-house: 1) Mailtime (YC2016; an email productivity app), and 2) RewardMe (cash back app that automatically rewards users with cash dollars for their real purchase data; no need to upload receipts).

    We then build email parsers to parse through all the transactional data and then aggregate and anonymise the datasets to produce granular insights for our data savvy clientele.

    We provide SKU-level transaction data with actual amount spent, discounts, purchase frequency, time, geolocation data.

  16. Share of regular discount stores shoppers in the U.S. by gender 2025

    • statista.com
    Updated Apr 15, 2025
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    Statista (2025). Share of regular discount stores shoppers in the U.S. by gender 2025 [Dataset]. https://www.statista.com/statistics/1450713/discount-stores-shoppers-by-gender-us/
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    Dataset updated
    Apr 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 1, 2024 - Mar 21, 2025
    Area covered
    United States
    Description

    In 2025, consumers in the United States were surveyed about their regular food and everyday products shopping destinations. Among those who shopped at discount stores, ** percent of both male and female respondents reported doing so. Find this and more survey data in our Consumer Insights tool. Filter by countless demographics, drill down to your own, hand-tailored target audience, and compare results across countries worldwide.

  17. Online Baby Product Sales in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Nov 9, 2025
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    IBISWorld (2025). Online Baby Product Sales in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/online-baby-product-sales-industry/
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    Dataset updated
    Nov 9, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Description

    Online baby product sales retailers have benefited from rising incomes, as increasingly tech-savvy first-time parents can turn to online retailers to create baby registries, furnish nurseries and conveniently order everyday items. The pandemic caused a sudden shutdown of brick-and-mortar stores, which accelerated the rise of the digital economy and online baby product retailers. Consumer behaviors quickly changed following the pandemic, especially for expectant families and first-time parents caring for newborns, who turned to online retailers in greater numbers and frequency. The pandemic also heightened fears about disease transmission and exposure to crowds, facilitating greater traffic for online retailers. Revenue is expected to swell at a CAGR of 3.2% to $13.5 billion through the end of 2025, including a forecast climb of 2.4% in 2025 alone. According to the Centers for Disease Control and Prevention (CDC), the US birth rate fell to a historic low in 2024. Despite a declining birth rate for over a decade, baby product spending hasn't followed that trend. Parents value what they buy for their new baby more than ever, with more families prioritizing social and environmental responsibility in their purchasing decisions. More direct-to-consumer online baby retailers have entered the market to capitalize on these trends. Social media is helping these retailers acquire loyal customers. While more unique baby retailers have become cult-favorite brands, Target and Amazon have a secure hold of the online baby product market. These leading retailers' online sales of baby goods flourished during the pandemic and continue to be parents' go-to for everyday essentials. The new digital economy is still transforming the retail landscape, providing online baby product sellers with the opportunity to capture additional market share in the coming years. While more consumers will shop online than ever, some parents will still prefer in-person shopping. Also, physical locations provide instant gratification by allowing customers to take products home, rather than wait for shipping. Faster delivery times can be a major consideration in this industry. Retailers will face more competition as new entrants saturate the market – online retailers' competitiveness will depend on how well they can differentiate themselves from one another. Revenue for online baby product sellers is expected to expand at a CAGR of 2.4% to $15.2 billion through the end of 2030.

  18. d

    Amazon User / Customer / Reviewer Profile - Past Purchases & Reviews

    • datarade.ai
    .json
    Updated Jun 24, 2016
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    Unwrangle (2016). Amazon User / Customer / Reviewer Profile - Past Purchases & Reviews [Dataset]. https://datarade.ai/data-products/amazon-user-customer-reviewer-profile-past-purchases-unwrangle
    Explore at:
    .jsonAvailable download formats
    Dataset updated
    Jun 24, 2016
    Dataset authored and provided by
    Unwrangle
    Area covered
    United States of America
    Description

    Do you want to learn more about your brand's audience? Or perhaps you competitors?

    With our Amazon User Profile API, you can get a list of verified past purchases of any user on Amazon with their profile URL. Our Online Reviews API can be used to extract customer reviews for any product on Amazon, including the author's profile URL. These URLs can in turn be used to retrieve some of the past purchases of these reviewers and can give you a clearer picture of the preferences of your target audience.

    This data can be used to track customer loyalty and target audience for any brand that distributes using internet retail.

  19. Retail Trade in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Sep 15, 2025
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    IBISWorld (2025). Retail Trade in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/retail-trade-industry/
    Explore at:
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The Retail Trade sector entered 2025 on a muted footing, with revenue growth of just 0.2% to reach $7.4 trillion. E-commerce remains a bright spot, with steady mid-single-digit gains in recent years, boosted by younger consumers' strong preference for digital channels. Yet, the sector's gains in digital shopping are balanced by ongoing challenges in discretionary spending, high operating costs and tariffs that threaten earnings. Profit has been pressured by steep price competition online and inflation-related expenses, though essential retailers in sub-sectors like food and health have managed steadier performance. Current efforts around omnichannel strategies, technology-driven efficiencies and sustainability reflect the sector's dual focus: capturing digital momentum while offsetting erosion in traditional store-based sales. Over the current period, the sector's revenue expanded at a modest CAGR of 2.2%, highlighting how the pandemic's volatility gave way to cautious but relatively stable expansion. Revenue streams benefited from major operations like Target, Walmart and Amazon reshaping retail into one-stop ecosystems that blend products and services, diversifying into groceries, healthcare, beauty and wellness. Automation adoption--from self-checkout kiosks to advanced inventory management--helped mitigate rising wage costs and sharpened efficiency, while marketing automation improved customer engagement through more tailored promotions. Still, profit took hits from inflation, heightened competition and consumers trading down to value alternatives amid tightening budgets. Consumer priorities for sustainability have altered market dynamics, leading to investments in resale programs and greener programs. The sector's growth is expected to slow, with revenue climbing at an anticipated 1.3% CAGR through 2030, reaching $7.9 trillion. While consumer disposable income is set to strengthen modestly, fragile sentiment from inflation, tariffs and labor market uncertainty may temper spending power. Technology will be a key driver in reshaping operations and growth opportunities. AI is poised to enhance inventory control, price optimization, delivery logistics and fraud prevention. Extended reality innovations, from AR try-ons to immersive VR shopping, will engage younger consumers and potentially redefine customer experiences, though costs and adoption hurdles remain. Reverse logistics and the circular economy will gain ground as sustainability priorities align with value-seeking behavior. Discounters and warehouse clubs are expected to capture share in the near term as households continue trading down, though specialty and discretionary retail could stage a rebound later in the outlook period as consumer confidence improves.

  20. l

    Neighborhood Stabilization Program3 Grantee Target Areas

    • data.lojic.org
    • hub.arcgis.com
    Updated Jul 31, 2023
    + more versions
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    Department of Housing and Urban Development (2023). Neighborhood Stabilization Program3 Grantee Target Areas [Dataset]. https://data.lojic.org/datasets/HUD::neighborhood-stabilization-program3-grantee-target-areas
    Explore at:
    Dataset updated
    Jul 31, 2023
    Dataset authored and provided by
    Department of Housing and Urban Development
    Area covered
    Description

    Provides grantee information for the third round of Neighborhood Stabilization Program (NSP) formula funding (referred to as NSP3) authorized under Section 1497 of the Wall Street Reform and Consumer Protection Act of 2010.The Neighborhood Stabilization Program (NSP) provides emergency assistance to state and local governments for the acquisition and redevelopment of foreclosed properties that might otherwise become sources of abandonment and blight within their communities.Section 1497 of the Wall Street Reform and Consumer Protection Act of 2010, also known as the Dodd-Frank Act, provided a third round of funding in 2010. NSP3 provides grants to states, local governments, nonprofits and a consortium of nonprofit entities on a competitive basis.Grantee target area data provided through this service was created from user generated areas drawn by grantees using the NSP3 online map tool at available at https://www.huduser.org/NSP/NSP3.html. . To learn more about the Neighborhood Stabilization Program (NSP) visit: https://www.hudexchange.info/programs/nsp/, for questions about the spatial attribution of this dataset, please reach out to us at GISHelpdesk@hud.gov. Data Dictionary: DD_NSP3 Grantee Target AreasDate of Coverage: 12/2014

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

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.

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