100+ datasets found
  1. Envestnet | Yodlee's De-Identified Consumer Purchase Data | Row/Aggregate...

    • datarade.ai
    .sql, .txt
    + more versions
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    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Consumer Purchase Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-consumer-purchase-data-row-aggregate-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Envestnethttp://envestnet.com/
    Yodlee
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Consumer Purchase Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

    Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

    We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

    Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

    Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

    Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

  2. b

    Best Buy Dataset

    • brightdata.com
    .json, .csv, .xlsx
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    Bright Data, Best Buy Dataset [Dataset]. https://brightdata.com/products/datasets/best-buy
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Use our Best Buy products to collect ratings, prices, and descriptions about products from an e-commerce online web. You can purchase either the entire dataset or a customized subset, depending on your requirements. The Best Buy Products Dataset stands as a comprehensive resource for businesses, researchers, and analysts aiming to navigate the vast array of products offered by Best Buy, a leading retailer in consumer electronics and technology. Tailored to provide a deep understanding of Best Buy's e-commerce ecosystem, this dataset facilitates market analysis, pricing optimization, customer behavior comprehension, and competitor assessment. At its core, the dataset encompasses essential attributes such as product ID, title, descriptions, ratings, reviews, pricing details, and seller information. These fundamental data elements empower users to glean insights into product performance, customer sentiment, and seller credibility, thereby facilitating informed decision-making processes. Whether you're a retailer looking to enhance your product portfolio, a researcher investigating trends in consumer electronics, or an analyst seeking to refine e-commerce strategies, the Best Buy Products Dataset offers a valuable resource for uncovering opportunities and driving success in the ever-evolving landscape of retail.

  3. d

    Alesco Consumer Data - Online Purchase Data - 90+ Million Brand Loyal...

    • datarade.ai
    .csv, .xls, .txt
    Updated Nov 4, 2022
    + more versions
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    Alesco Data (2022). Alesco Consumer Data - Online Purchase Data - 90+ Million Brand Loyal Consumers - Opt-in Emails Available - US Data - Available for Licensing! [Dataset]. https://datarade.ai/data-products/alesco-consumer-data-online-purchase-data-90-million-bra-alesco-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 4, 2022
    Dataset authored and provided by
    Alesco Data
    Area covered
    United States of America
    Description

    Consumer-based survey responders of the brands to which they are most loyal. From acne products to baby wipes, coffee to pet food, this file has the most responsive data from consumers who respond to Direct to Consumer (DTC) offers. Compiled using a variety of surveying techniques including point of purchase surveying as part of the check out process. 30-day hotline available to ensure the freshest information possible.

    Fields Include but are not limited to: Product Categories - Acne Products - Tooth Whiteners - Allergy/Cold Remedies - Baby Wipes - Dog Treats - Imported Beer - Energy Bars - Meat Alternatives -Product Brands, such as: - L'Oreal Paris - Crest - Pepcid - Tylenol - Pampers - Purina - Meow Mix - Budweiser - Keurig - Beyond Meat - Recency of purchase - Email

    Competitive Pricing - Available for transactional orders. Yearly data licenses available for unlimited use cases, including marketing and analytics.

  4. d

    Global Telemarketing Data | 90M+ Accurate Mobile Numbers | API | Bi-Weekly...

    • datarade.ai
    .json, .csv, .sql
    + more versions
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    Forager.ai, Global Telemarketing Data | 90M+ Accurate Mobile Numbers | API | Bi-Weekly Updates [Dataset]. https://datarade.ai/data-products/global-telemarketing-data-90m-accurate-mobile-numbers-ap-forager-ai
    Explore at:
    .json, .csv, .sqlAvailable download formats
    Dataset provided by
    Forager.ai
    Area covered
    Austria, Cameroon, Nicaragua, Swaziland, Sint Eustatius and Saba, Nigeria, Kazakhstan, Isle of Man, Iraq, Cook Islands
    Description

    Forager.ai's Global Telemarketing Data provides access to 89M mobile phone numbers with an industry-leading 95% accuracy rate. Our phone number database sees comprehensive refreshes every three weeks, ensuring the highest quality of data for all business needs.

    | Volume and Stats |

    Access to 89M mobile phone numbers, with continuous growth. Unprecedented industry refresh rate of every three weeks for each record. First-party data curation, underpinning many leading sales and marketing platforms. Delivery formats: JSONL, PostgreSQL, CSV.

    | Datapoints |

    Over 150+ unique datapoints available! Key fields include Mobile Phone Number, Current Title, Current Company Data, Work History, Educational Background, Location, Address, and more. Unique linkage data to other social networks or contact data available.

    | Use Cases |

    Sales & Marketing Platforms, Linkedin data, Linkedin Database, Data Vendors, Data Purchase, B2B Tech, VCs & PE firms, Data for Marketing Automation, ABM & Intent:

    Buy data that powers your customer experiences. Stay updated when professionals change roles, and relay these insights to your customers. Enjoy the benefits of our industry-leading data accuracy. Connect our professional contact data online to your existing database, uncovering new connections to other social networks and contact data. Hashed records also available for advertising use-cases.

    | Delivery Options |

    Flat files via S3 or GCP PostgreSQL Shared Database PostgreSQL Managed Database REST API Other options available at request, depending on scale required

    | Other key features |

    150+ Data Fields (available upon request) Free data samples, and evaluation.

    Tags: B2B Contact Data, B2C Contact Data, Email Data, Direct Dial Data, Sales & Marketing Data, Professional Contacts, Verified Contact Data, People Data, Work Experience History, Education Data, Workforce Intelligence, Identity Resolution, Talent, Candidate Database, Sales Database, Account Based Marketing, Intent Data, Mobile number data, mobile number database, startup data.

  5. Frequency of online medication purchase in the U.S. 2017

    • statista.com
    Updated Feb 23, 2022
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    Statista (2022). Frequency of online medication purchase in the U.S. 2017 [Dataset]. https://www.statista.com/forecasts/805895/frequency-of-online-medication-purchase-in-the-us
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    Dataset updated
    Feb 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 22, 2017 - Dec 27, 2017
    Area covered
    United States
    Description

    The displayed data on the frequency of online medication purchase shows results of the Statista Global Consumer Survey conducted in the Unites States in 2017. Some 52 percent of respondents stated that they never buy medication online.The Statista Global Consumer Survey offers a global perspective on consumption and media usage, covering the offline und online world of the consumer.

  6. c

    Transact Signal US Beauty Transaction Data | USA Data | 100M+ Credit & Debit...

    • dataproducts.consumeredge.com
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    Consumer Edge, Transact Signal US Beauty Transaction Data | USA Data | 100M+ Credit & Debit Cards, 12K+ Merchants, 800+ Parent Companies, 600+ Tickers [Dataset]. https://dataproducts.consumeredge.com/products/consumer-edge-transact-signal-us-beauty-transaction-data-us-consumer-edge
    Explore at:
    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States
    Description

    CE Transact Signal USA is the premier merchant attributable alternative data set tracking consumer spend on credit and debit cards for brands and tickers in industries like beauty products and services, available as a panelized aggregated feed.

  7. United States: internet usage during purchase process 2014

    • statista.com
    Updated Oct 26, 2014
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    Statista (2014). United States: internet usage during purchase process 2014 [Dataset]. https://www.statista.com/statistics/377105/internet-usage-purchase-process-usa/
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    Dataset updated
    Oct 26, 2014
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2014 - Mar 2014
    Area covered
    United States
    Description

    This statistic shows data on internet usage during the purchase process of consumers in the United States in 2014. During the survey period it was found that 29 percent of US respondents had recently bought a product online.

  8. d

    US B2C Contact data|Email Address|ConsumerWatch Network (CWN) 1st Party...

    • datarade.ai
    .csv, .txt
    Updated Jun 28, 2024
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    BizWatch Network & ConsumerWatch Network (2024). US B2C Contact data|Email Address|ConsumerWatch Network (CWN) 1st Party data|1700+ Purchase Intent Behaviors|75MM B2C Audience data|4BB Online Events [Dataset]. https://datarade.ai/data-products/consumerwatch-network-cwn-1st-party-b2c-digital-audience-on-bizwatch-network-consumerwa
    Explore at:
    .csv, .txtAvailable download formats
    Dataset updated
    Jun 28, 2024
    Dataset authored and provided by
    BizWatch Network & ConsumerWatch Network
    Area covered
    United States
    Description

    Active consumer Audience B2C Contact Data-engagement/transaction Consumer Purchase Intent data from BizWatch Network & its consumer publishing partners, ConsumerWatch Network (CWN) represents a unique data asset. Leveraging both reach & scale, CWN Online Actives B2c Contact & Purchase Intent data contains a key set of individual active consumer attributes that includes: Gender, Age & 1700+ IAB (Interactive Advertising Bureau) category codes. CWN Online Actives sources all of its activity data from recent category & brand level web-based & mobile engagement transactions. The CWN Active universe consists of 75 million individual consumers generating over 3 billion recent purchase and/or pre-purchase content engagements. Top 140 (of 1700+) most populated CWN Online Active IAB Category segments are listed below.

    B2C Contact & Purchase Intent segments: Hobbies & Interests>Internet And Online Activities>Social Networking 42,247,975 Brand>Google 34,620,117 Brand>Facebook 33,380,827 In-Market>Shopping>Venue>Online Shopping 30,477,078 News and Politics 30,434,688 Brand>Twitter 30,183,235 In-Market>Entertainment>Streaming Services 26,569,968 Brand>Youtube 25,436,983 Hobbies & Interests>Arts And Crafts>Pop Culture>Celebrities 23,326,330 Hobbies & Interests>Arts And Crafts>TV>Networks>FX 22,725,462 Hobbies & Interests>News>US 22,644,908 Brand>Amazon 22,183,536 Hobbies & Interests>Arts And Crafts>TV>Genres>Comedy 21,873,571 Hobbies & Interests>Sports>Football>General 21,871,477 In-Market>Sporting Goods>Team Sports>Football 20,455,182 Healthy Living>Nutrition 19,979,433 Pop Culture 19,896,785 In-Market>Shopping>Venue>Discount And Big Box Stores 19,708,560 Hobbies & Interests>Sports>Football>Super Bowl 19,336,044 Hobbies & Interests>Arts And Crafts>TV>Networks>Showtime 19,311,017 Hobbies & Interests>Sports>Football>NFL 19,242,006 Brand>Disney 18,619,705 Hobbies & Interests>Internet And Online Activities>Streaming Media And Downloads>Video 18,266,732 Hobbies & Interests>News>Weather 18,183,359 Hobbies & Interests>Internet And Online Activities>Photo Sharing 18,155,174 Hobbies & Interests>Arts And Crafts>TV>Networks>Starz 18,118,181 In-Market>Financial>Investment Types>Stocks And Bonds 17,990,723 In-Market>Food And Beverages>Restaurants>Fast Food 17,819,719 Video Gaming 17,812,533 Hobbies & Interests>Arts And Crafts>TV>Networks>CBS 17,614,427 Hobbies & Interests>Arts And Crafts>Pop Culture>Nerdy 17,395,253 Brand>Instagram 17,389,805 Food & Drink>Cooking 16,821,655 In-Market>Food And Beverages>Food>Fruits And Vegetables 16,722,498 Hobbies & Interests>Cooking>Nutrition 16,666,208 Hobbies & Interests>Pets>General 16,614,946 Brand>Netflix 16,284,488 Brand>Walmart 15,674,916 Hobbies & Interests>Arts And Crafts>TV>Genres>Sci-Fi 15,495,155 Brand>Fox 15,430,029 Brand>CBS 15,348,186 Food & Drink>Desserts and Baking 14,761,260 Brand>Apple 14,578,220 Hobbies & Interests>Education>Colleges 14,556,891 In-Market>Food And Beverages>Food>Snacks>Healthy 14,526,770 Hobbies & Interests>Arts And Crafts>TV>Networks>NBC 14,209,169 Food & Drink 14,192,775 Hobbies & Interests>News>Local 14,159,419 In-Market>Food And Beverages>Food>Snacks>Confectioneries 13,918,808 Automotive>Auto Type>Luxury Cars 13,899,091 Hobbies & Interests>Arts And Crafts>Books And Literature>Comics 13,805,331 Brand>NBC 13,617,370 In-Market>Financial>Credit Cards>General 13,471,156 In-Market>Sporting Goods>Camping, Hiking, And Backpacking 13,322,654 Hobbies & Interests>Arts And Crafts>TV>Genres>Action 13,307,699 In-Market>Food And Beverages>Food>Cheese 12,991,597 Television 12,929,380 In-Market>Food And Beverages>Food>Snacks>Nuts 12,762,630 Hobbies & Interests>Arts And Crafts>Movies>Sci-Fi And Fantasy 12,714,898 Hobbies & Interests>Arts And Crafts>TV>Genres>Mystery And Thrillers 12,630,659 Style & Fashion>Women's Fashion>Women's Accessories>Women's Hats and Scarves 12,286,518 Hobbies & Interests>Cooking>Baking 12,131,081 In-Market>Apparel And Accessories>Hats 12,105,744 Brand>Clorox 11,952,817 Hobbies & Interests>Arts And Crafts>Visual Arts>Arts And Crafts 11,932,084 Hobbies & Interests>News>Newspapers 11,915,561 In-Market>Food And Beverages>Non-Alcoholic>Juice 11,786,654 Hobbies & Interests>Arts And Crafts>Music>Pop 11,771,221 In-Market>Food And Beverages>Food>Meats 11,608,100 Brand>CNN 11,357,807 In-Market>Shopping>Behavior>Value Shoppers 11,222,637 In-Market>Food And Beverages>Alcoholic>Spirits 11,105,836 Hobbies & Interests>News>Financial 11,078,101 Brand>Microsoft 11,041,744 Hobbies & Interests>Cooking>Cuisines>Italian 11,041,092 Hobbies & Interests>Cooking>Cuisines>American 11,021,066 Hobbies & Interests>Sports>Basketball>General 10,973,566 In-Market>Food And Beverages>Non-Alcoholic>Carbonated>Soft Drinks 10,921,438 Brand>Tootsie Roll Industries 10,558,270 In-Market>Food And Beverages>Food>Baking 10,534,419 Brand>Marvel Comics 10,287,086 Hobbies & Interests>Arts And Crafts>Music>Coun...

  9. c

    Transact Leisure & Recreation Consumer Transaction Data | USA Data | 100M...

    • dataproducts.consumeredge.com
    + more versions
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    Consumer Edge, Transact Leisure & Recreation Consumer Transaction Data | USA Data | 100M Credit & Debit Cards, 12K Merchants, 800 Parent Companies, 600+ Tickers [Dataset]. https://dataproducts.consumeredge.com/products/consumer-edge-transact-leisure-recreation-transaction-data-consumer-edge
    Explore at:
    Dataset authored and provided by
    Consumer Edge
    Area covered
    United States
    Description

    CE Transact Signal USA is the premier merchant attributable alternative data set tracking consumer spend on credit and debit cards for brands and tickers in industries like leisure & recreation, available as a panelized aggregated feed.

  10. Product Comparison Dataset for Online Shopping

    • registry.opendata.aws
    Updated Jun 20, 2023
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    Amazon (2023). Product Comparison Dataset for Online Shopping [Dataset]. https://registry.opendata.aws/prod-comp-shopping/
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    Dataset updated
    Jun 20, 2023
    Dataset provided by
    Amazon.comhttp://amazon.com/
    License

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

    Description

    The Product Comparison dataset for online shopping is a new, manually annotated dataset with about 15K human generated sentences, which compare related products based on one or more of their attributes (the first such data we know of for product comparison). It covers ∼8K product sets, their selected attributes, and comparison texts.

  11. Types of data consumers believed were appropriate for marketers to collect...

    • statista.com
    Updated Dec 10, 2024
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    Types of data consumers believed were appropriate for marketers to collect 2022 [Dataset]. https://www.statista.com/statistics/1333192/types-consumer-data-marketers-collect/
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    Dataset updated
    Dec 10, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    During a 2022 survey, 80 percent of responding consumers from across the globe stated they believed that it was appropriate for marketers to collect the brand purchase history of their clients. Less than half believed it was appropriate to collect information on clients' important life events.

  12. Success.ai | Web Search Data – Real-Time Insights, Trends & Purchase Intent...

    • data.success.ai
    Updated Oct 22, 2024
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    Success.ai (2024). Success.ai | Web Search Data – Real-Time Insights, Trends & Purchase Intent Data – Best Price Guarantee [Dataset]. https://data.success.ai/products/success-ai-web-search-data-real-time-insights-trends-p-success-ai
    Explore at:
    Dataset updated
    Oct 22, 2024
    Dataset provided by
    Area covered
    Thailand, Micronesia, Tokelau, Marshall Islands, Sudan, Hungary, Saint Kitts and Nevis, Poland, Cayman Islands, Taiwan
    Description

    Explore real-time online search and web trends with Success.ai’s comprehensive data on search engines and B2B intent. Uncover actionable insights for competitive intelligence and targeted marketing. Guaranteed best price and quality.

  13. d

    WalkLists | Consumer Data Lists of Resident's Interests and Buying Habits...

    • datarade.ai
    .csv, .xls
    Updated Mar 20, 2021
    + more versions
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    ScaleCampaign (2021). WalkLists | Consumer Data Lists of Resident's Interests and Buying Habits Within Household USA ( >240M Consumers) [Dataset]. https://datarade.ai/data-products/walklists-consumer-data-lists-interests-and-buying-habits-within-household-usa-240m-consumers-scalecampaign
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Mar 20, 2021
    Dataset authored and provided by
    ScaleCampaign
    Area covered
    United States
    Description

    Clients can request access to data for a targeted audience by setting geographic boundaries as well as multiple attribute filters. By specifying the target criteria and focusing on an extremely specific list of consumers that matches their desired interest, they can run their sales and service campaigns with great efficiency. Clients can create direct consumer outreach data files at their fingertips with the power of artificial intelligence to guide them through valuable analytic research. We work closely with our clients to understand their specific goals and help them understand their options and solidify their focus on selections that optimize their budget by creating narrowly focused consumer data list that are right on point! Personal identification such as names, address, cellphone numbers (where available) and landline phone numbers (where available) are automatically included in the resultant data products. Verified emails may also be appended in the order as an option to their data by request and purchase. We look forward to guiding clients through the process to serve the best interests of their needs. To provide this service to our clients as they expect and deserve, we need to understand the goals and limitations of their project and budget. For potential and current clients who want or need personal assistance through the data selection and filtering process, we ask them to please ask us for help by allowing us to guide through the process. To begin the process, clients must first provide us with a good description of the desired criteria, and we will review it for clarity. These are a minimum basic guide to filtering attribute criteria, but others will certainly apply based on the project specific goals: 1.) Full Name and email Address of Requestor 2.) Identify, by name, of the Organization requesting the data 3.) Provide a Valid Budget expectation so we can focus on suitable data 4.) Provide a specific geographic Region of Interest for your data request 5.) Include filtering criteria to be used to process the data, such as: • Apparel Children • Apparel Infant Children • Apparel Men • Apparel Women • Apparel Women Plus Size • Apparel Young Women • Apparel Young Men • Arts and Antiques • Art-Visual Arts Interests • Auto Work • Automotive Buff • Auto parts Accessories • Aviation Interests • Book Buyer • Book Reader • Books Magazines • Camping Hiking • Career Advancement Interests • Children Baby care • Children Back To School • Children Learning Toys • Collectibles Antiques • Collectibles Arts • Collectibles Coins • Collectibles General • Collectibles Sports Memorabilia
    • Collectibles Stamps • Collector Avid • Computer Owner • Cooking Enthusiast • Cooking General • Cosmetics Beauty • Current Affairs Politics • Dieting Weight loss • Do-it-Yourself Interests • DVD Videos • Education Online • Electronics Movies Interests • Equestrian Interests • Exercise Aerobic • Exercise Health Grouping • Exercise Running Jogging • Exercise Walking • Female Merchandise Buyer • Food Wines • Foods Natural • Games Board Puzzles • Games Video • Gaming Casino • Gaming Interests • Health and Beauty • Health Medical • High End Appliances • Hobbies – Craft Interests • Hobbies – Craft Hobbies Buyer • Hobbies – Gardening • Hobbies – gardening Farming Buyer • Hobbies – History Military • Hobbies – Sewing Knitting Needlework • Hobbies – Woodworking • Home Décor Enthusiast • Home Improvement Grouping • House Plans • Invest Active • Invest Stock Securities • Investing Finance Grouping • Investments • Investments Foreign • Investments Real Estate • Jewelry Buyer • Lifestyle-Broader Lifestyle • Lifestyle-Common Lifestyle • Lifestyle-Cultural Arts Lifestyle • Lifestyle-Do-it-Yourself Lifestyle • Lifestyle-High Tech Leader • Lifestyle-Highbrow Lifestyle • Lifestyle-Home Living • Lifestyle-Opportunity Seekers • Lifestyle-Professional Lifestyle • Lifestyle-Self Improvements • Lifestyle-Sporty Lifestyle • Lifestyle-Upscale Lifestyle • Lifestyle-Value Hunter • Luggage Buyer • Mail Order Buyer • Mail Responder • Male Merchandise Buyer • Membership Club • Military Memorabilia Weapons • Music Avid Listener • Music Collector • Music Player Device • Music Home Stereo • Musical Instruments • News Financial • Online Buyer • Outdoor Enthusiasts • Outdoor Grouping • Parenting Interests • Pets Cats • Pets Dogs • Pets Multiple • Reading Sci-Fi • Religious Inspiration • Religious Magazines • Sci...

  14. d

    US - Business & Contact Database / List

    • datarade.ai
    .csv, .xls
    Updated Oct 14, 2023
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    Metric Central (2023). US - Business & Contact Database / List [Dataset]. https://datarade.ai/data-products/us-business-contact-database-list-metric-central
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    .csv, .xlsAvailable download formats
    Dataset updated
    Oct 14, 2023
    Dataset authored and provided by
    Metric Central
    Area covered
    United States
    Description

    What information do you include in your sales and marketing database?

    When you buy one of our sales and marketing databases, all records we supply to you hold the below information (where it is available):

    -Company name -Address (including town, county and postcode) -Phone number (including area code) -Website address -Company registration number and date of incorporation -Financial information (for example, net worth, turnover band, profit and loss, profit percentage change, sales increase or decrease) -Senior decision maker name -Senior decision maker email address (if we do not have this information, we will provide the next best email for example, a departmental email address) -Top-level market sector and granular industry classification -Standard Industrial Classification (SIC) code -Number of employees (both onsite and nationally) -Premise type and description -Number of branches -Legal status (for example, sole trader, partnership, private limited company)

    Why use Metric Central?

    There are several marketing database providers out there, but these are the reasons why you should choose us for your prospecting requirements.

    The most up to date information on the market: We refresh our database every day, meaning when you buy from us, you will have the most up to date and accurate details, without having to worry about database decay, duplicated records

    Reach out directly to the key decision-maker: Unlike some lists which will only give you a generic company email address, we will provide you with the name and details of the company’s key decision-maker, meaning you can directly reach out to the person with purchasing power, without being held back by the company gatekeeper

    Buy online and use straightaway: With a lot of companies providing a similar product to ours, you have to reach out to them for a quote before you receive your product. Our sales and marketing database can be bought online and downloaded straight away, meaning you can start reaching out to decision-makers the very same day you buy. We even tell you how many companies your data will contain before you commit to purchasing!

    A wide range of contacts: We have contact details for prospective customers across a wide range of different industries meaning no matter what your product or service is, we have your needs covered. Check out our website for a full list of databases we can provide CRM ready data: Our list can be uploaded straight into your CRM system of choice, meaning your sales team can start reaching out to prospective customers immediately.

    Competitive pricing: We’re one of the most cost-effective companies on the market, combining a high-quality product with an accessible price point. Decades of experience: With several years of experience in the sales agency, our team at Metric Central is well-equipped to understand your pain points and provide you with the data you need to help you sell your product or service

    If you would like to know more about the data services we offer and how we can help you grow your business, please don’t hesitate to get in touch with us today, and one of our experienced team reach out to you with the information you need.

    Please note: All data is supplied under legitimate interest. The term of supply is as standard of a 12-month multi licence agreement which allows unlimited postal and telephone communication with 12 cold email sends.

  15. d

    Consumer Behavior Data | US Online Consumer Behavior Database

    • datarade.ai
    .csv, .xls, .txt
    Updated Aug 29, 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
    Aug 29, 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.

  16. Success.ai | Purchase Intent Data | 15,000+ Intent Topics – Best Price...

    • datarade.ai
    Updated Oct 19, 2024
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    Success.ai (2024). Success.ai | Purchase Intent Data | 15,000+ Intent Topics – Best Price Guarantee [Dataset]. https://datarade.ai/data-products/success-ai-purchase-intent-data-15-000-intent-topics-b-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 19, 2024
    Dataset provided by
    Area covered
    Swaziland, Benin, Canada, Virgin Islands (U.S.), Saint Helena, Fiji, Cabo Verde, Suriname, Azerbaijan, Holy See
    Description

    Success.ai’s Purchase Intent Data – Drive Growth with Real-Time Insights

    Success.ai’s Purchase Intent Data provides businesses with the competitive edge they need to thrive. By tracking real-time purchase intent signals from companies actively searching for products or services like yours, you can focus on high-value prospects and optimize your sales and marketing efforts. Our B2B intent data offers unparalleled insights, giving you a clear picture of where your target customers are in their buying journey.

    By leveraging prospect data from trusted, ethically sourced partners, Success.ai allows you to engage potential customers at the most opportune moment. Whether you're looking to refine your email address data for better outreach or capitalize on consumer purchase data for targeted marketing, our solution ensures every interaction is meaningful and results-driven.

    Unlock Targeted Outreach for Maximum Impact Success.ai’s purchase intent data allows you to create highly personalized campaigns tailored to the exact needs of your prospects. By tracking their online behaviors and search patterns, we help you discover which companies are in-market for your solutions. With access to high-quality B2B intent data, you can refine your strategies, engage prospects at the perfect moment, and significantly boost conversion rates.

    Whether you're looking to generate prospect data for B2B marketing campaigns or email address data to refine your outreach lists, Success.ai’s Purchase Intent Data provides you with the tools you need to make every interaction more effective.

    Key Benefits: - Real-Time Intent Signals: Stay ahead of the competition by accessing continuously updated purchase intent data that tracks buyer behaviors across the web. - Actionable Insights: Our B2B intent database gives you deep insights into which companies are researching your solutions, allowing you to create highly personalized outreach strategies. - Ethically Sourced & Compliant: We work with trusted partners to ensure all intent data is collected ethically and complies with global privacy regulations. - High-Value Prospects: Success.ai’s prospect data identifies the companies that are ready to buy, helping you focus on email address data lists with high conversion potential. - Tailored Solutions: Whether you need consumer purchase data or B2B intent data, Success.ai delivers curated datasets that meet your specific business needs.

    How Success.ai’s Purchase Intent Data Can Power Your Business Success.ai’s Purchase Intent Data is perfect for businesses across industries looking to maximize their marketing and sales impact. Here’s how different teams can benefit:

    • Sales Prospecting & Lead Generation: Focus on prospect data that matters, prioritizing companies actively searching for your products or services. With accurate email address data, you can build targeted B2B email lists for direct outreach.
    • Account-Based Marketing (ABM): Refine your ABM strategies with B2B intent data, allowing you to create tailored marketing campaigns based on the interests and behaviors of key accounts.
    • Recruitment & Talent Sourcing: Use intent data to identify growing companies that are hiring or expanding, giving you the competitive edge in attracting top talent. Investment Research & Due Diligence: Track consumer purchase data and company growth patterns to identify investment opportunities with clear potential.
    • Competitor Intelligence: Monitor competitors' behavior and expansion strategies through real-time purchase intent signals, keeping your business one step ahead.
    • Real-Time Purchase Intent Signals to Accelerate Growth: Success.ai’s B2B intent data is continuously updated to give you real-time insights into your prospects’ behaviors. By focusing on the most relevant intent signals, you can engage with potential buyers at the exact moment they are ready to make purchasing decisions. This level of precision enables you to improve your B2B marketing data strategies and increase conversion rates.

    Why Choose Success.ai? What sets Success.ai’s Purchase Intent Data apart is our ability to deliver actionable insights through a fully managed, white-glove service. Instead of navigating complicated data platforms, simply tell us your data needs, and we’ll curate the perfect dataset for you—saving time and effort.

    • Best Price Guarantee: We offer unbeatable pricing for purchase intent data and will match or beat any competitor’s price.
    • Real-Time Intent Signals: Engage leads at the right time with continuously updated data that tracks prospect behaviors in real-time.
    • Ethically Sourced & Compliant: All our data is collected responsibly and complies with international privacy standards.
    • Personal Service: Let our Success Managers handle your B2B intent dataset needs—no platforms, just high-quality data delivered directly to you.
    • 99% Data Accuracy: Gain accurate insights from email address data with near-perfect a...
  17. Data collection on 630 Chinese consumers shopping online.docx

    • figshare.com
    xlsx
    Updated Jun 19, 2023
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    晓丫 苏; SU XiaoYa (2023). Data collection on 630 Chinese consumers shopping online.docx [Dataset]. http://doi.org/10.6084/m9.figshare.23541558.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 19, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    晓丫 苏; SU XiaoYa
    License

    https://www.gnu.org/licenses/gpl-2.0.htmlhttps://www.gnu.org/licenses/gpl-2.0.html

    Description

    There is a significant positive effect of consumers' perceived usefulness and perceived ease of use on purchase intention; there is a significant positive effect of courier service and social evaluation during consumption on perceived usefulness and perceived ease of use, but there is no significant positive effect of information promotion on consumption intention, and there is a significant positive effect of information promotion on consumers' purchase behaviour; there is a significant positive effect of product promotion on both consumers' consumption behaviour and consumption intention

  18. Kärnten Individuals who had last online purchase in 1 year

    • knoema.com
    csv, json, sdmx, xls
    Updated Jun 24, 2012
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    Knoema (2012). Kärnten Individuals who had last online purchase in 1 year [Dataset]. https://knoema.com/atlas/Austria/K%C3%A4rnten/Individuals-who-had-last-online-purchase-in-1-year
    Explore at:
    xls, json, sdmx, csvAvailable download formats
    Dataset updated
    Jun 24, 2012
    Dataset authored and provided by
    Knoemahttp://knoema.com/
    Time period covered
    2006 - 2011
    Area covered
    Carinthia
    Variables measured
    Individuals who had last online purchase in 1 year
    Description

    Individuals who had last online purchase in 1 year of Kärnten jumped by 11.11% from 36 % of individuals in 2010 to 40 % of individuals in 2011. Since the 14.81% jump in 2007, individuals who had last online purchase in 1 year shot up by 29.03% in 2011.

  19. C

    China CN: Internet Service: No of User: Online Shopping

    • ceicdata.com
    Updated Feb 15, 2025
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    China CN: Internet Service: No of User: Online Shopping [Dataset]. https://www.ceicdata.com/en/china/internet-purpose-of-internet-usage/cn-internet-service-no-of-user-online-shopping
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Jun 1, 2019 - Dec 1, 2024
    Area covered
    China
    Variables measured
    Internet Statistics
    Description

    China Internet Service: Number of User: Online Shopping data was reported at 974.430 Person mn in Dec 2024. This records an increase from the previous number of 904.600 Person mn for Jun 2024. China Internet Service: Number of User: Online Shopping data is updated semiannually, averaging 430.485 Person mn from Jun 2007 (Median) to Dec 2024, with 36 observations. The data reached an all-time high of 974.430 Person mn in Dec 2024 and a record low of 41.310 Person mn in Jun 2007. China Internet Service: Number of User: Online Shopping data remains active status in CEIC and is reported by China Internet Network Information Center. The data is categorized under China Premium Database’s Information and Communication Sector – Table CN.ICE: Internet: Purpose of Internet Usage. Affected by the COVID-19, the data cut-off time for the 2019 is March 2020.

  20. Success.ai | Web Search Data – Real-Time Insights, Trends & Purchase Intent...

    • datarade.ai
    Updated Oct 22, 2024
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    Success.ai (2024). Success.ai | Web Search Data – Real-Time Insights, Trends & Purchase Intent Data – Best Price Guarantee [Dataset]. https://datarade.ai/data-products/success-ai-web-search-data-real-time-insights-trends-p-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Oct 22, 2024
    Dataset provided by
    Area covered
    Philippines, Austria, Germany, Turkey, Greece, Grenada, Luxembourg, Estonia, Faroe Islands, Kenya
    Description

    Success.ai's Web and Search Trends Intent Data equips businesses with the cutting-edge capability to track and analyze online behaviors and search engine data effectively. This service is essential for understanding current market trends, optimizing advertising strategies, and enhancing B2B marketing efforts. By capturing and analyzing data from across the web, including search engine behaviors and purchase intent signals, Success.ai offers invaluable insights that can drastically improve your strategic outcomes.

    Harness the Power of Web Search Data: Gain access to vast amounts of web search data to understand what your potential customers are searching for and how they interact with the web. This information is crucial for refining SEO strategies, improving website content, and creating more engaging user experiences.

    Advanced Analysis of Online Search Trends: Stay ahead of the competition by leveraging detailed insights into online search trends. Success.ai helps you identify emerging trends, monitor industry movements, and anticipate market changes with precision.

    Drive Marketing and Advertising Success: Utilize detailed search trend data to tailor your marketing and advertising campaigns. By understanding the specific interests and needs of your target audience, you can create more effective campaigns that resonate with potential customers and result in higher conversion rates.

    B2B Intent Data to Fuel Sales Strategies: Our B2B intent data provides a deep dive into the purchase intentions of businesses, helping sales teams prioritize leads that show a high likelihood of conversion. This targeted approach ensures that your sales efforts are focused and efficient.

    Key Benefits of Choosing Success.ai:

    • Comprehensive Coverage: Access detailed data across 15k topics in various sectors and regions, ensuring no opportunity is missed.
    • Real-Time Insights: Receive up-to-the-minute data on web and search trends, keeping your business agile and informed.
    • High Accuracy and Reliability: Trust in our data’s accuracy, which is backed by sophisticated AI algorithms and a rigorous validation process.
    • Ethically Sourced and Compliant Data: All data is collected and processed in strict adherence to global data protection regulations, ensuring ethical compliance.
    • Customizable Solutions: Tailor your data feed to suit specific business needs, whether it’s for a comprehensive market analysis or targeted advertising campaigns.

    Use Cases for Success.ai's Web Search and Intent Data:

    • Competitive Intelligence: Gain a competitive edge by understanding the strategies and movements of your competitors.
    • Marketing Optimization: Align your marketing efforts with the latest trends to maximize ROI.
    • Effective Advertising: Enhance the relevance and impact of your ad campaigns by targeting based on current search trends.
    • B2B Marketing: Leverage specific B2B data to fine-tune your marketing strategies aimed at other businesses.
    • Email Marketing: Use search trend insights to create more compelling and relevant email content that drives engagement.

    Get started with Success.ai today to leverage our advanced web and search trends intent data, and take your business to new heights with insights that drive real results.

    Contact us now to learn more about our services and how we can help you capitalize on the latest online trends, for the best possible price.

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Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Consumer Purchase Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-consumer-purchase-data-row-aggregate-envestnet-yodlee
Organization logoOrganization logo

Envestnet | Yodlee's De-Identified Consumer Purchase Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts

Explore at:
.sql, .txtAvailable download formats
Dataset provided by
Envestnethttp://envestnet.com/
Yodlee
Authors
Envestnet | Yodlee
Area covered
United States of America
Description

Envestnet®| Yodlee®'s Consumer Purchase Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

  1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

  2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

  3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

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