100+ datasets found
  1. d

    Consumer Behavior Data | US Online Consumer Behavior Database

    • datarade.ai
    .csv, .xls, .txt
    Updated Nov 15, 2024
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    VisitIQ™ (2024). Consumer Behavior Data | US Online Consumer Behavior Database [Dataset]. https://datarade.ai/data-products/consumer-behavior-data-visitiq-us-online-consumer-behavi-visitiq
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    VisitIQ™
    Area covered
    United States of America
    Description

    In today’s rapidly evolving digital landscape, understanding consumer behavior has never been more crucial for businesses seeking to thrive. Our Consumer Behavior Data database serves as an essential tool, offering a wealth of comprehensive insights into the current trends and preferences of online consumers across the United States. This robust database is meticulously designed to provide a detailed and nuanced view of consumer activities, preferences, and attitudes, making it an invaluable asset for marketers, researchers, and business strategists.

    Extensive Coverage of Consumer Data Our database is packed with thousands of indexes that cover a broad spectrum of consumer-related information. This extensive coverage ensures that users can delve deeply into various facets of consumer behavior, gaining a holistic understanding of what drives online purchasing decisions and how consumers interact with products and brands. The database includes:

    Product Consumption: Detailed records of what products consumers are buying, how frequently they purchase these items, and the spending patterns associated with these products. This data allows businesses to identify popular products, emerging trends, and seasonal variations in consumer purchasing behavior. Lifestyle Preferences: Insights into the lifestyles of consumers, including their hobbies, interests, and activities. Understanding lifestyle preferences helps businesses tailor their marketing strategies to resonate with the values and passions of their target audiences. For example, a company selling fitness equipment can use this data to identify consumers who prioritize health and wellness.

    Product Ownership: Information on the types of products that consumers already own. This data is crucial for businesses looking to introduce complementary products or upgrades. For instance, a tech company could use product ownership data to target consumers who already own older versions of their gadgets, offering them incentives to upgrade to the latest models.

    Attitudes and Beliefs: Insights into consumer attitudes, opinions, and beliefs about various products, brands, and market trends. This qualitative data is vital for understanding the emotional and psychological drivers behind consumer behavior. It helps businesses craft compelling narratives and brand messages that align with the values and beliefs of their target audience.

  2. d

    Success.ai | Consumer Behavior Data | In-depth Intent Data for Strategic...

    • datarade.ai
    Updated Oct 27, 2022
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    Success.ai (2022). Success.ai | Consumer Behavior Data | In-depth Intent Data for Strategic Engagement – Unbeatable Prices Guaranteed [Dataset]. https://datarade.ai/data-categories/consumer-behavior-data/datasets
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 27, 2022
    Dataset provided by
    Success.ai
    Area covered
    Andorra, Venezuela (Bolivarian Republic of), Bonaire, Taiwan, Dominican Republic, Djibouti, Japan, Romania, Egypt, Benin
    Description

    Success.ai is at the forefront of delivering precise consumer behavior insights that empower businesses to understand and anticipate customer needs more effectively. Our extensive datasets provide a deep dive into the nuances of consumer actions, preferences, and trends, enabling businesses to tailor their strategies for maximum engagement and conversion.

    Explore the Multifaceted Dimensions of Consumer Behavior:

    • Consumer Sentiment Analysis: Decode the emotions and sentiments behind consumer interactions with brands and products to refine messaging and product offerings.
    • Web Activity Insights: Monitor and analyze consumer online behaviors, from browsing patterns to engagement metrics, to optimize digital strategies and user experience.
    • Geodemographic Segmentation: Utilize detailed demographic and geographic data to segment audiences accurately, enabling personalized marketing approaches that resonate with diverse consumer groups.
    • Consumer Purchasing Patterns: Understand the what, when, and why behind consumer purchases to forecast trends and align inventory and marketing efforts accordingly.
    • Advanced Consumer Profiling: Build detailed profiles based on consumer behavior data to target or retarget customers with precision.

    Why Choose Success.ai for Consumer Behavior Data?

    • Comprehensive Data Integration: Seamlessly integrate our rich consumer data into your CRM systems, enhancing your data reservoir with valuable consumer insights.
    • Real-Time Updates and Predictive Analytics: Leverage the latest consumer behavior trends powered by AI-driven analytics to stay ahead in a rapidly changing market.
    • Precision and Reliability: Count on our meticulous data collection and processing methods, ensuring high accuracy and compliance with international data protection regulations.
    • Scalable Solutions: Whether you're a small business or a large enterprise, our flexible data solutions can be scaled to meet your specific needs and budget constraints.
    • Competitive Pricing: We offer the most compelling pricing in the industry, guaranteeing you get top-tier data without overspending.

    Strategic Applications of Consumer Behavior Data for Business Growth:

    • Enhanced Email Marketing: Use detailed consumer profiles to craft personalized email campaigns that increase open rates and conversions.
    • Optimized Online Marketing: Apply insights from consumer web activity and search trends to fine-tune your online marketing tactics for better ROI.
    • Effective B2B Lead Generation: Identify and engage potential business clients by understanding their industry-specific behaviors and preferences.
    • Robust Sales Data Enrichment: Enrich your sales strategies with deep behavioral insights, turning cold calls into informed discussions and increasing sales success.
    • Dynamic Competitive Intelligence: Stay competitive by monitoring how consumer behaviors are shifting in your industry and adjust your strategies proactively.

    Empower Your Business with Actionable Consumer Insights from Success.ai

    Success.ai provides not just data, but a gateway to transformative business strategies. Our comprehensive consumer behavior insights allow you to make informed decisions, personalize customer interactions, and ultimately drive higher engagement and sales.

    Get in touch with us today to discover how our Consumer Behavior Intent Data can revolutionize your business strategies and help you achieve your market potential.

    Contact Success.ai now and start transforming data into growth. Let us show you how our unmatched data solutions can be the cornerstone of your business success.

  3. ACSI - U.S. customer satisfaction with online retail as of 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista Research Department (2025). ACSI - U.S. customer satisfaction with online retail as of 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    This timeline shows the customer satisfaction with e-retail over the years, as measured in the American Customer Satisfaction Index (ACSI) score. In 2024, customer satisfaction with electronic retail reached 80 points out of 100. A bustling e-commerce market With one of the largest economies globally, it is no surprise that the United States also is a leading market for e-commerce on the global scale. In 2023, the U.S. Census Bureau reported retail e-commerce sales reaching an estimated 275 million U.S. dollars, nearly doubling since 2019. This high number of sales is made possible by the 273 million e-commerce users in the country – over 80 percent of the population. U.S. online fashion shopping Of the most popular categories to buy online, apparel and accessories is by far the most popular. In 2024, apparel, footwear and accessories made up 20.2 percent of the country’s total retail e-commerce sales. In the same year, the category was forecast to generate a total 145 billion U.S. dollars in overall revenue.

  4. 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...
  5. E-commerce as share of total retail sales in the U.S. 2019-2027

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista Research Department (2025). E-commerce as share of total retail sales in the U.S. 2019-2027 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    In 2023, e-commerce comprised over 15.6 percent of total retail sales in the United States. Forecasts suggest that this proportion will continue to rise steadily in the coming years, reaching approximately 20.6 percent by 2027. Fashion fever The digital revolution has significantly changed how retail is done, impacting a wide range of product categories. Out of all e-commerce product categories, apparel and accessories are the most purchased online in the United States. As of February 2023, roughly 18 percent of all fashion retail sales took place online. Furniture and home furnishing, as well as computer and consumer electronics, ranked second, with over 15 percent of each product category purchased via the internet. The product categories that are least purchased online are office equipment and supplies (1.4 percent) and books, music, and video (5.1 percent). Shopping hotspots Amazon dominates the e-commerce industry in the United States, though other competitors still have significant market share. In December 2023, amazon.com was the most-visited e-commerce and shopping site in the United States. That month, around 45 percent of all visits to e-commerce sites were made to Amazon. Other popular shopping sites include ebay.com, walmart.com, etsy.com, and target.com. The staggering proportion of online retail sales in the country attributed to Amazon is quite remarkable. In 2023, Amazon's website accounted for almost half of all online computer and consumer electronics sales. Similarly, nearly one-third of online fashion purchases in the country were made on Amazon.

  6. w

    Global Retail Analysis in the U.S. Market Research Report: By Retail Channel...

    • wiseguyreports.com
    Updated Jun 18, 2025
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    wWiseguy Research Consultants Pvt Ltd (2025). Global Retail Analysis in the U.S. Market Research Report: By Retail Channel (Online, Offline, Mobile, Social Media), By Product Category (Electronics, Apparel, Home Goods, Groceries), By Customer Demographics (Age, Gender, Income Level, Occupation), By Shopping Behavior (Value-Oriented, Brand-Loyal, Trend-Focused) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/retail-analysis-in-the-u-market
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

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

    Area covered
    Global, United States
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 2023760.2(USD Billion)
    MARKET SIZE 2024788.86(USD Billion)
    MARKET SIZE 20321060.4(USD Billion)
    SEGMENTS COVEREDRetail Channel, Product Category, Customer Demographics, Shopping Behavior, Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSe-commerce growth, consumer behavior shifts, supply chain disruptions, sustainability focus, technology integration
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDCVS Health, Macy's, TJX Companies, Amazon, Walgreens Boots Alliance, Best Buy, Kroger, Nordstrom, Target, The Home Depot, Ross Stores, Aldi, Lowe's, Costco Wholesale, Walmart
    MARKET FORECAST PERIOD2025 - 2032
    KEY MARKET OPPORTUNITIESE-commerce expansion, Personalized shopping experiences, Sustainable product offerings, Technology integration in retail, Omnichannel retail strategies
    COMPOUND ANNUAL GROWTH RATE (CAGR) 3.77% (2025 - 2032)
  7. ACSI - U.S. customer satisfaction with Amazon.com 2024

    • statista.com
    • ai-chatbox.pro
    Updated Mar 10, 2025
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    Statista Research Department (2025). ACSI - U.S. customer satisfaction with Amazon.com 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
    Explore at:
    Dataset updated
    Mar 10, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    The American Customer Satisfaction Index (ACSI) score of the e-commerce website of Amazon.com has fluctuated since 2000. In 2024, the customer satisfaction score of the online retailer was 83 out of 100 ASCI points. Popularity contest Amazon is one of the most popular marketplaces worldwide. In April 2023, the U.S. domain for Amazon ranked the most visited e-commerce and shopping website by share of online visits, with around 13 percent. Ebay came in second with roughly three percent of the visit share, and the Japanese site amazon.co.jp came in third with 2.66 percent. In the same month, global online shoppers visited amazon.com around 2.2 billion times. Why Amazon? Amazon.com is the most used e-commerce website in the world, and in the U.S., the website is far ahead of its competitors. With a significant difference in website visitors of almost 45 percent, ebay.com is second to amazon.com. Furthermore, the retail giant Walmart trails behind with an online visit share of roughly six percent. Amazon is used for various reasons by its customers. For example, the online marketplace is ranked as the leading platform for product research in the U.S., surpassing even search engines in popularity. Low shipping costs, fast deliveries, and affordable product prices are the main reasons for shopping on Amazon.

  8. 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
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    .csv, .xlsAvailable download formats
    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States
    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 ...

  9. O

    Online Group Buying Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated May 12, 2025
    + more versions
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    Data Insights Market (2025). Online Group Buying Report [Dataset]. https://www.datainsightsmarket.com/reports/online-group-buying-1445202
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    pdf, ppt, docAvailable download formats
    Dataset updated
    May 12, 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

    The online group buying market, encompassing deals on diverse products and services from books and music to home appliances and travel experiences, is experiencing robust growth. Driven by increasing internet penetration, smartphone usage, and a consumer preference for value-driven shopping, this sector demonstrates significant potential. The B2C segment currently dominates, fueled by individual consumers seeking discounts and deals. However, the B2B segment shows promising growth as businesses leverage group buying platforms for cost-effective procurement of goods and services. While North America and Europe currently hold significant market shares, the Asia-Pacific region, particularly China and India, is poised for rapid expansion due to the burgeoning middle class and increasing digital adoption. Competitive pressures among established players like Amazon and Alibaba, alongside smaller niche players, are driving innovation and the development of more sophisticated platforms offering personalized deals and enhanced user experiences. Challenges remain, such as managing logistics, ensuring vendor reliability, and combating fraudulent activities. The overall market trajectory suggests continued expansion, albeit with fluctuations influenced by economic conditions and evolving consumer preferences. The market's expansion is projected to continue throughout the forecast period (2025-2033), although the CAGR may moderate slightly as the market matures. Factors influencing this include increased competition, evolving consumer behaviors, and economic factors. While specific segment growth rates are not provided, we can reasonably assume higher growth in the Asia-Pacific region and within the B2B segment compared to more mature markets and the B2C segment, respectively. The success of individual players will depend on their ability to adapt to changing market conditions, innovate in areas such as personalized recommendations and loyalty programs, and effectively manage their supply chains. Effective marketing strategies focusing on value proposition and user experience will also be critical for sustained success.

  10. Supermarket Ordering, Invoicing, and Sales

    • kaggle.com
    Updated Jan 15, 2023
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    The Devastator (2023). Supermarket Ordering, Invoicing, and Sales [Dataset]. https://www.kaggle.com/thedevastator/supermarket-ordering-invoicing-and-sales-analysi/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 15, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    The Devastator
    License

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

    Description

    Supermarket Ordering, Invoicing, and Sales Analysis

    Measuring Consumer Behavior and Engagement

    By [source]

    About this dataset

    This data set provides an in-depth look into the ordering, invoicing and sales processes at a supermarket. With information ranging from customers' meal choices to the value of their orders and whether they were converted into sales, this dataset opens up endless possibilities to uncover consumer behavior trends and engagement within the business. From understanding who is exchanging with the company and when, to seeing what types of meals are most popular with consumers, this rich collection of data will allow us to gain priceless insights into consumer actions and habits that can inform strategic decisions. Dive deep into big data now by exploring Invoices.csv, OrderLeads.csv and SalesTeam.csv for invaluable knowledge about your customers!

    More Datasets

    For more datasets, click here.

    Featured Notebooks

    • 🚨 Your notebook can be here! 🚨!

    How to use the dataset

    This dataset provides an in-depth look into the ordering and invoicing processes of a supermarket, as well as how consumers are engaging with it. This dataset can be used to analyze and gain insights into consumer purchasing behaviors and preferences at the store.

    The first step in analyzing this data set is to familiarize yourself with its content. The dataset contains three CSV files: Invoices.csv, OrderLeads.csv, and SalesTeam.csv have different features like date of meal, participants, Meal Price, Type of meal ,company Name ,Order Value etc .Each file contains a list of columns containing data related to each particular feature like Date ,Date Of Meal Participants etc .

    Once you understand what types of information is included in each table it’ll be easier for you to start drawing conclusions about customer preferences and trends from within the store's data set. You can use mathematical functions or statistical models such as regression analysis or cluster analysis in order to gain even further insight into customers’ behaviors within the store setting. Additionally you could use machine learning algorithms such as K-Nearest Neighbors (KNN) or Support Vector Machines (SVM) if your goal was improving targeting strategy or recognizing patterns between customer purchases over time.

    All these techniques will help you determine what promotional tactics work best when trying to attract customers and promote sales through various marketing campaigns at this supermarket chain They will also help shed light on how customers engage with products within categories across different days/weeks/months according to their own individual purchasing habits which would ultimately contribute towards improved marketing strategies from management side .

    Overall this data set provides immense potential for advancing understanding retail behaviour by allowing us access specific transactions that occurred at a given time frame; ultimately providing us detailed insight into customer behavior trends along with tools such software packages that allow us manipulate these metrics however necessary for entertainment purposes that help us identify strategies designed for greater efficiency when increasing revenue

    Research Ideas

    • Identifying the most profitable customer segment based on order value and converted sales.
    • Leveraging trends in participant size to suggest meal packages for different types of meals.
    • Analyzing the conversion rate of orders over time to optimize promotional strategies and product offerings accordingly

    Acknowledgements

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

    License

    License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

    Columns

    File: Invoices.csv | Column name | Description | |:-----------------|:-------------------------------------------------------------| | Date | The date the order was placed. (Date) | | Date of Meal | The date the meal was served. (Date) | | Participants | The number of people who participated in the meal. (Integer) | | Meal Price | The cost of the meal. (Float) | | Type of Meal | The...

  11. Shopping Cart Market Trends

    • statistics.technavio.org
    Updated Apr 15, 2025
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    Technavio (2025). Shopping Cart Market Trends [Dataset]. https://statistics.technavio.org/shopping-cart-market-trends
    Explore at:
    Dataset updated
    Apr 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Worldwide
    Description

    Download Free Sample
    Upon thorough analysis and research, the following factors has been identified as the critical consumer shopping cart market trends during the forecast period 2021-2025:

    The increasing demand for in-store advertising and communication systems

    The consumer shopping cart market report also provides several other key information including:

    CAGR of the market during the forecast period 2021-2025
    Detailed information on factors that will drive consumer shopping cart market growth during the next five years
    Precise estimation of the consumer shopping cart market size and its contribution to the parent market
    Accurate predictions on upcoming trends and changes in consumer behavior
    The growth of the consumer shopping cart market industry across Europe, North America, APAC, MEA, and South America
    A thorough analysis of the market’s competitive landscape and detailed information on vendors
    Comprehensive details of factors that will challenge the growth of consumer shopping cart market vendors
    
  12. Livestream Shopping Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Mar 7, 2024
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    Dataintelo (2024). Livestream Shopping Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-livestream-shopping-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Mar 7, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Livestream Shopping Market Outlook 2032



    The global Livestream Shopping Market size was USD XX Billion in 2023 and is likely to reach USD XX Billion by 2032, expanding at a CAGR of XX% during 2024–2032. The market is driven by the increasing penetration of high-speed internet and smartphones globally.



    Surging integration of Virtual Reality (VR) and Augmented Reality (AR) in livestream shopping platforms is transforming the e-commerce landscape. These technologies provide an immersive and interactive shopping experience, bridging the gap between online and offline retail. They enable consumers to virtually try on products, enhancing their decision-making process and boosting sales conversions.




    • In October 2023, Perfect Corp., a pioneer in AI and AR solutions for beauty and fashion, partnered with Walmart to introduce a makeup virtual try-on feature in Walmart's iOS app. This innovative feature enables Walmart customers to virtually test makeup products in categories such as blush, lip color, eye shadow, and bronzer, assisting them in finding their ideal shade.


    Growing influence of social media personalities in shaping consumer behavior is becoming a significant trend in the livestream shopping market. Brands are leveraging influencers to host livestream shopping sessions, capitalizing on their large follower base and credibility. This strategy increases brand visibility and fosters trust and engagement among consumers.



    The increasing use of advanced data analytics in livestream shopping platforms is revolutionizing the customer shopping experience. These technologies enable personalized product recommendations based on consumer behavior and preferences, thereby increasing customer satisfaction and retention rates.

    The seamless integration of payment and delivery services within livestream shopping platforms is a notable trend. This integration provides a one-stop solution for consumers, simplifying the shopping process from product selection to payment and delivery. It enhances user convenience and increases the efficiency of the shopping process, thereby attracting consumers to these platforms.&l

  13. Online shopping trends for U.S. and UK consumer electronics buyers 2022

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Online shopping trends for U.S. and UK consumer electronics buyers 2022 [Dataset]. https://www.statista.com/statistics/1318864/online-shopping-preferences-consumer-electronics/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States, United Kingdom
    Description

    Online shoppers in the U.S. and UK revealed that they will go somewhere else if their preferred retailer for consumer electronics does not have what they want, according to a 2022 survey. Additionally, another ** percent of respondents reported that knowing when an electronics item is low-in-stock impacts their purchase decision.

  14. E-commerce Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 30, 2025
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    Growth Market Reports (2025). E-commerce Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/e-commerce-market-global-industry-analysis
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    E-commerce Market Outlook



    According to our latest research, the global e-commerce market size reached USD 6.9 trillion in 2024 and is expected to grow at a CAGR of 12.1% from 2025 to 2033. This robust growth trajectory will drive the market to a projected value of USD 19.3 trillion by 2033. The primary growth factor fueling this expansion is the accelerating adoption of digital technologies, coupled with increasing internet and smartphone penetration worldwide, which continues to transform traditional retail and business models into dynamic online marketplaces.




    The e-commerce market is experiencing explosive growth, primarily attributed to the rapid digitalization of consumer behavior and business operations. The proliferation of affordable smartphones and high-speed internet connectivity has dramatically expanded the global online consumer base, making digital shopping accessible to populations previously underserved by traditional retail infrastructure. Additionally, the COVID-19 pandemic acted as a catalyst, compelling even technology-averse consumers and businesses to embrace online platforms for essential and discretionary purchases. The convenience, variety, and competitive pricing offered by e-commerce platforms have fostered a significant shift in shopping patterns, leading to sustained double-digit growth rates in both mature and emerging markets.




    Another critical growth driver is the continuous innovation in payment systems and logistics infrastructure. The evolution of secure and user-friendly digital payment methods, including digital wallets, contactless payments, and buy-now-pay-later options, has removed significant barriers to online transactions. Simultaneously, advancements in supply chain management, last-mile delivery, and fulfillment centers have enabled e-commerce companies to offer faster and more reliable shipping, enhancing overall customer satisfaction. These improvements have not only attracted new customers but also increased the frequency and size of online purchases, further accelerating market expansion.




    Furthermore, the integration of artificial intelligence (AI), big data analytics, and personalized marketing strategies has revolutionized the e-commerce landscape. Retailers and platforms are leveraging these technologies to deliver highly tailored shopping experiences, optimize inventory management, and predict consumer trends with unprecedented accuracy. The rise of omnichannel commerce, where businesses seamlessly blend online and offline experiences, is also contributing to the market's growth by providing consumers with greater flexibility and choice. These technological advancements are expected to continue driving innovation and differentiation in the highly competitive e-commerce sector.




    Regionally, Asia Pacific remains the dominant force in the global e-commerce market, accounting for the largest share due to its massive population, burgeoning middle class, and rapid digital adoption. North America and Europe follow closely, driven by high internet penetration, advanced logistics networks, and mature digital payment ecosystems. Meanwhile, Latin America, the Middle East, and Africa are emerging as high-growth regions, supported by improving infrastructure, favorable government policies, and increasing consumer trust in online transactions. This regional diversification is expected to further stimulate global e-commerce growth over the forecast period.





    Business Model Analysis



    The e-commerce market is segmented by business models, including B2B (Business-to-Business), B2C (Business-to-Consumer), C2C (Consumer-to-Consumer), and C2B (Consumer-to-Business), each contributing uniquely to the market's dynamics. The B2C segment remains the most dominant, driven by the massive influx of consumers shopping online for a wide range of products, from electronics to fashion and groceries. This segment benefits from extensive marketing campaigns, seamless user experiences, and a vast array of payment and delivery options, making it the primary

  15. M

    PVALB Test Market Report By Consumer Demographics (Age, Gender, Income...

    • marketresearchstore.com
    pdf
    Updated Jul 3, 2025
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    Market Research Store (2025). PVALB Test Market Report By Consumer Demographics (Age, Gender, Income Level, Occupation, and Education Level), By Buying Behavior (Purchase Frequency, Brand Loyalty, Price Sensitivity, Product Usage, and Decision-Making Process), By Psychographics (Lifestyle, Values and Beliefs, Personality Traits, and Interests and Hobbies), By Product Needs (Functional Needs, Aesthetic Needs, and Performance Expectations), By Technological Adaptation (Early Adopters, Late Majority, and Laggards), and By Region - Global Industry Analysis, Size, Share, Growth, Latest Trends, Regional Outlook, and Forecast 2024 – 2032 [Dataset]. https://www.marketresearchstore.com/market-insights/pvalb-test-market-830577
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset authored and provided by
    Market Research Store
    License

    https://www.marketresearchstore.com/privacy-statementhttps://www.marketresearchstore.com/privacy-statement

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    Global PVALB Test Market to grow from US$ 58.96 Million in 2023 to US$ 103.04 Million by 2032, at a CAGR of 6.4% from 2024 - 2032

  16. E Commerce and Modern Trade Channel Data for Skin Care and OTC Categories...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 16, 2024
    + more versions
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    Dataintelo (2024). E Commerce and Modern Trade Channel Data for Skin Care and OTC Categories Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-e-commerce-modern-trade-channel-data-for-skin-care-otc-categories-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    E-commerce & Modern Trade Channel Data for Skin Care & OTC Categories Market Outlook 2032



    The global e-commerce & modern trade channel data for skin care & OTC categories market size was USD XX Billion in 2023 and is likely to reach USD XX Billion by 2032, expanding at a CAGR of XX% during 2024–2032. The market is propelled by the increasing consumer preference for online shopping worldwide.



    Increasing consumer awareness and demand for skin care and over-the-counter (OTC) products have significantly influenced the e-commerce and modern trade channel data. The digital revolution has transformed the way consumers shop, leading to a surge in online purchases of these categories. The convenience of online shopping and the availability of a wide range of products has fueled this trend. Furthermore, the ability to compare prices and read reviews before making a purchase decision has made e-commerce an attractive platform for consumers.



    Growing advancements in technology have also played a pivotal role in shaping the e-commerce and modern trade channel data for skin care and OTC categories. The use of artificial intelligence and machine learning in predicting consumer behavior and preferences has allowed companies to offer personalized shopping experiences. This has increased customer satisfaction and boosted sales, thereby driving the e-commerce industry. Additionally, the use of data analytics has enabled companies to understand market trends and consumer buying patterns better, leading to effective marketing strategies.



    Rising competition in the market has led to the development of innovative strategies to attract and retain customers. Companies are increasingly leveraging social media platforms and influencer marketing to reach a wider audience and increase their market share. Moreover, the introduction of subscription-based models and loyalty programs has helped companies build a loyal customer base and ensure repeat purchases. These strategies and the increasing penetration of internet and smartphone usage, present significant opportunities for the growth of the e-commerce and modern trade channel for skin care and OTC categories.



    Impact of Artificial Intelligence (AI) in E-commerce & Modern Trade Channel Data for Skin Care & OTC Categories Market



    <span lang="EN-US" style="font-size:1

  17. Consumer Credit Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Consumer Credit Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/consumer-credit-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Consumer Credit Market Outlook



    The global consumer credit market size is projected to grow significantly from USD 12 trillion in 2023 to USD 18.85 trillion by 2032, with a compound annual growth rate (CAGR) of 5.2% during the forecast period. The primary growth drivers include increasing consumer spending, rising disposable income, and the expansion of financial services into emerging markets. Consumer credit has become an integral part of modern economies, enabling individuals and businesses to manage cash flow, finance large purchases, and invest in the future.



    A key factor propelling the growth of the consumer credit market is the increasing confidence in financial institutions and credit mechanisms globally. As financial literacy improves, more people understand the benefits and risks associated with various forms of credit, leading to higher adoption rates. Additionally, technological advancements have streamlined credit approval processes, making them more efficient and accessible. Digital platforms allow for quicker credit evaluations and disbursements, which further accelerates market growth by providing consumers with timely access to funds.



    Another significant growth factor is the burgeoning e-commerce sector, which has driven the demand for consumer credit. The convenience of online shopping has led to increased use of credit cards and other digital credit facilities. Retailers often partner with financial institutions to offer attractive financing options, driving consumer credit usage. Moreover, the rise of buy now, pay later (BNPL) services has revolutionized consumer purchasing behavior by providing flexible payment options, thereby boosting the overall demand for consumer credit.



    Additionally, demographic changes such as urbanization and a growing middle class in emerging economies are contributing to market expansion. A younger population inclined towards borrowing for various needs, from education to home ownership, is driving the demand for consumer credit. Financial institutions are tapping into this demographic by offering tailored credit products, which leads to higher market penetration. Furthermore, favorable government policies and regulatory frameworks that encourage responsible borrowing and lending practices are creating a conducive environment for market growth.



    The rise of Internet Consumer Loan platforms has further revolutionized the consumer credit landscape. These platforms offer borrowers the convenience of applying for loans online, often with faster approval times and competitive interest rates. By leveraging advanced algorithms and data analytics, Internet Consumer Loan providers can assess creditworthiness more efficiently, making credit accessible to a wider audience. This digital transformation aligns with the increasing consumer preference for online financial services, driven by the growing penetration of smartphones and internet connectivity. As more consumers turn to these platforms for their borrowing needs, traditional financial institutions are also adapting by enhancing their online offerings to remain competitive in this evolving market.



    Regionally, North America and Europe continue to dominate the consumer credit market, owing to well-established financial infrastructures and high consumer awareness. However, the Asia Pacific region is emerging as a lucrative market due to rapid economic growth, increased consumer spending, and the proliferation of digital finance solutions. Latin America and the Middle East & Africa also present significant growth opportunities as financial inclusion initiatives gain momentum and credit products become more accessible to a broader population.



    Type Analysis



    The consumer credit market can be segmented by type into revolving credit and non-revolving credit. Revolving credit, which includes credit cards and lines of credit, allows consumers to borrow up to a certain limit and repay either in full or through minimum monthly payments. This type of credit is highly flexible and convenient for consumers, leading to its widespread adoption. The integration of rewards programs and cashback offers by credit card companies further incentivizes usage, thereby boosting the revolving credit segment.



    Non-revolving credit, on the other hand, includes loans that are disbursed in a lump sum and repaid over a fixed term, such as auto loans, student loans, and mortgages. This segment is characterized by lower interest rates compared to

  18. Digital Advertising Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Mar 1, 2024
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    Dataintelo (2024). Digital Advertising Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-digital-advertising-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Mar 1, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Digital Advertising Market Outlook 2032



    The global digital advertising market size was USD 422 Billion in 2023 and is likely to reach USD 1484.5 Billion by 2032, expanding at a CAGR of 15% during 2024–2032. The market growth is attributed to the increasing digitalization and rising adoption of programmatic advertising.



    Growing adoption of data analytics is expected to boost the digital advertising market. Data analytics tools enable advertisers to gain deep insights into consumer behavior, preferences, and purchasing patterns, thereby allowing for more targeted and personalized advertising strategies. This trend is anticipated to lead to higher conversion rates and improved return on advertising spend, contributing significantly to propel the market.



    Rising demand for personalized advertising propels the market. Consumers increasingly seek personalized experiences, a demand that digital advertising is uniquely equipped to meet. By leveraging advanced technologies such as artificial intelligence and machine learning, advertisers are anticipated to deliver highly personalized content, thereby enhancing consumer engagement and brand loyalty.





    Impact of Artificial Intelligence (AI) in Digital Advertising Market



    Artificial Intelligence (AI) is expected to boost the revenue of the market players present in the digital advertising market. AI's ability to analyze vast amounts of data in real time allows advertisers to gain deep insights into consumer behavior, preferences, and purchasing patterns. This data-driven approa

  19. d

    CPG Data: Shoppers Data - Consumer Purchase Behavior

    • datarade.ai
    .csv, .txt
    Updated Dec 4, 2024
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    Datasys (2024). CPG Data: Shoppers Data - Consumer Purchase Behavior [Dataset]. https://datarade.ai/data-products/datastream-group-cpg-brands-shoppers-feed-maids-hashed-email-datasys
    Explore at:
    .csv, .txtAvailable download formats
    Dataset updated
    Dec 4, 2024
    Dataset authored and provided by
    Datasys
    Area covered
    Canada, United States of America
    Description

    Stay ahead in a fast-paced market with real-time insights into shopper behaviors and trends. Datasys offers unparalleled access to billions of records updated monthly, covering retail, home goods, apparel, and grocery, it includes predictive user attributes and billions of monthly records. With data spanning hundreds of packaged goods, this feed provides in-depth analysis and actionable insights across a wide range of categories.

    Gain a complete view of your buyers, supported by predictive user attributes to anticipate trends and refine strategies. From product performance to category trends and consumer preferences, our CPG Data Feed delivers the actionable intelligence needed to optimize offerings, enhance marketing, and solve tomorrow’s challenges today.

  20. d

    Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase,...

    • datarade.ai
    .csv, .xls
    Updated Mar 1, 2024
    + more versions
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    Allforce (2024). Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase, Shopper, Lifestyle Data | Verified Email, Phone, Address [Dataset]. https://datarade.ai/data-products/audience-targeting-data-i-us-consumer-behavioral-intelligen-allforce
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Mar 1, 2024
    Dataset authored and provided by
    Allforce
    Area covered
    United States
    Description

    Access high-fidelity consumer data powered by our proprietary modeling technology that provides the most comprehensive consumer intelligence, accurate targeting, first-party data enrichment, and personalization at scale. Our deterministic dataset, anchored in the purchasing habits of over 140 million U.S. consumers, delivers superior targeting performance with proven 70% increase in ROAS.

    Core Data Assets Transactional Data Foundation: Real purchasing behavior from over 140 million U.S. consumers with 8.5 billion behavioral signals across 250 million adults. Seven years of daily credit card and debit card purchase data aggregated from all major credit cards sourced from more than 300 national banks, capturing $2+ trillion in annual discretionary spending.

    Consumer Demographics & Lifestyle: Comprehensive profiles including age, income, household composition, geographic distribution, education, employment, and lifestyle indicators. Our proprietary taxonomy organizes consumer spending across 8,000+ brands and 2,500+ merchants, from major retailers to emerging direct-to-consumer brands.

    Behavioral Segmentation: 150+ custom consumer communities including demographic groups (Gen Z, Millennials, Gen X), lifestyle segments (Health & Fitness Enthusiasts, Tech Early Adopters, Luxury Shoppers), and behavioral categories (Deal Seekers, Brand Loyalists, Premium Service Users, Streaming Subscribers). Purchase Intelligence: Deep insights into consumer spending patterns across entertainment, fitness, fashion, technology, travel, dining, and retail categories. Our models identify cross-category purchasing behaviors, seasonal trends, and brand switching patterns to optimize targeting strategies. Advanced Modeling Technology

    Our proprietary consumer intelligence engine combines deterministic transaction-based data with Smart Audience Engineering that transforms first-party signals from anonymized website traffic, behavioral indicators, and CRM enrichment into precision-modeled segments. Unlike traditional data providers who sell static lists, our AI-powered predictive modeling continuously learns and optimizes for unprecedented precision and superior conversion outcomes.

    Performance Advantages: Audiences built on user-level transactional data deliver 70% increase in ROAS compared to traditional targeting methods. Weekly-optimized audiences with performance narratives eliminate wasted ad spend by 20-30%, while our deterministic AI models analyze hundreds of attributes and conversion-validated signals to identify prospects with genuine purchase intent, not just lookalike behaviors.

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VisitIQ™ (2024). Consumer Behavior Data | US Online Consumer Behavior Database [Dataset]. https://datarade.ai/data-products/consumer-behavior-data-visitiq-us-online-consumer-behavi-visitiq

Consumer Behavior Data | US Online Consumer Behavior Database

Explore at:
.csv, .xls, .txtAvailable download formats
Dataset updated
Nov 15, 2024
Dataset authored and provided by
VisitIQ™
Area covered
United States of America
Description

In today’s rapidly evolving digital landscape, understanding consumer behavior has never been more crucial for businesses seeking to thrive. Our Consumer Behavior Data database serves as an essential tool, offering a wealth of comprehensive insights into the current trends and preferences of online consumers across the United States. This robust database is meticulously designed to provide a detailed and nuanced view of consumer activities, preferences, and attitudes, making it an invaluable asset for marketers, researchers, and business strategists.

Extensive Coverage of Consumer Data Our database is packed with thousands of indexes that cover a broad spectrum of consumer-related information. This extensive coverage ensures that users can delve deeply into various facets of consumer behavior, gaining a holistic understanding of what drives online purchasing decisions and how consumers interact with products and brands. The database includes:

Product Consumption: Detailed records of what products consumers are buying, how frequently they purchase these items, and the spending patterns associated with these products. This data allows businesses to identify popular products, emerging trends, and seasonal variations in consumer purchasing behavior. Lifestyle Preferences: Insights into the lifestyles of consumers, including their hobbies, interests, and activities. Understanding lifestyle preferences helps businesses tailor their marketing strategies to resonate with the values and passions of their target audiences. For example, a company selling fitness equipment can use this data to identify consumers who prioritize health and wellness.

Product Ownership: Information on the types of products that consumers already own. This data is crucial for businesses looking to introduce complementary products or upgrades. For instance, a tech company could use product ownership data to target consumers who already own older versions of their gadgets, offering them incentives to upgrade to the latest models.

Attitudes and Beliefs: Insights into consumer attitudes, opinions, and beliefs about various products, brands, and market trends. This qualitative data is vital for understanding the emotional and psychological drivers behind consumer behavior. It helps businesses craft compelling narratives and brand messages that align with the values and beliefs of their target audience.

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