100+ datasets found
  1. f

    Buy Consumer Data | 1 Billion+ Data | FrescoData

    • frescodata.com
    Updated Dec 9, 2020
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    FrescoData (2020). Buy Consumer Data | 1 Billion+ Data | FrescoData [Dataset]. https://www.frescodata.com/consumer-data/
    Explore at:
    Dataset updated
    Dec 9, 2020
    Dataset authored and provided by
    FrescoData
    Description

    Buy consumer data from us to find the target audience for b2c marketing. FrescoData offer the Highest Value for People and consumer marketing.

  2. d

    B2C Database

    • directdatasquad.com
    Updated Jul 9, 2025
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    (2025). B2C Database [Dataset]. https://directdatasquad.com/b2c-data/
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    Dataset updated
    Jul 9, 2025
    Description

    Our B2C database totals over 12 million consumer records. This database includes multi-faceted information that can be used for various campaigns. Records may vary depending on the lead generation source and purpose; however, all will come with at least contact information. In addition to this, homeowner status, insurance information, and appliance information are often collected.

  3. Envestnet | Yodlee's De-Identified Online Purchase Data | Row/Aggregate...

    • datarade.ai
    .sql, .txt
    + more versions
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    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Online Purchase Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-de-identified-online-purchase-data-row-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 Online 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

  4. f

    Consumer Data | United States | Reach - Comprehensive Insights for Enhanced...

    • factori.ai
    Updated Jul 15, 2025
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    (2025). Consumer Data | United States | Reach - Comprehensive Insights for Enhanced Customer Experience & Marketing Strategies [Dataset]. https://www.factori.ai/datasets/consumer-data/
    Explore at:
    Dataset updated
    Jul 15, 2025
    License

    https://www.factori.ai/privacy-policyhttps://www.factori.ai/privacy-policy

    Area covered
    United States
    Description

    Our consumer data is meticulously gathered and aggregated from surveys, digital services, and public sources, ensuring the collection of fresh and reliable data points through powerful profiling algorithms. Our comprehensive data enrichment solution spans a variety of datasets, enabling you to address gaps in customer data, gain deeper insights into your customers, and enhance client experiences.

    Data Categories and Attributes:

    • Geography: City, State, ZIP, County, CBSA, Census Tract, etc.
    • Demographics: Gender, Age Group, Marital Status, Language, etc.
    • Financial: Income Range, Credit Rating Range, Credit Type, Net Worth Range, etc.
    • Persona: Consumer Type, Communication Preferences, Family Type, etc.
    • Interests: Content, Brands, Shopping, Hobbies, Lifestyle, etc.
    • Household: Number of Children, Number of Adults, IP Address, etc.
    • Behaviors: Brand Affinity, App Usage, Web Browsing, etc.
    • Firmographics: Industry, Company, Occupation, Revenue, etc.
    • Retail Purchase: Store, Category, Brand, SKU, Quantity, Price, etc.
    • Auto: Car Make, Model, Type, Year, etc.
    • Housing: Home Type, Home Value, Renter/Owner, Year Built, etc

    Data Export Methodology

    Our dynamic data collection ensures the most updated insights, delivered at intervals best suited to your needs (daily, weekly, or monthly).

    Use Cases

    Our enriched consumer data supports a 360-degree customer view, data enrichment, fraud detection, and advertising & marketing, providing valuable insights to enhance your business strategies and client interactions.

  5. d

    Alesco Consumer Database - Individual-Level Consumer Data - 269+ million US...

    • datarade.ai
    .csv, .xls, .txt
    Updated Sep 17, 2022
    + more versions
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    Alesco Data (2022). Alesco Consumer Database - Individual-Level Consumer Data - 269+ million US consumers with 175+ million opt-in emails - available for licensing! [Dataset]. https://datarade.ai/data-products/alesco-consumer-database-includes-over-250-million-consumer-alesco-data
    Explore at:
    .csv, .xls, .txtAvailable download formats
    Dataset updated
    Sep 17, 2022
    Dataset authored and provided by
    Alesco Data
    Area covered
    United States of America
    Description

    Alesco's Consumer Database contains demographic information on almost every household in the nation. Nowhere else will you find more complete and accurate information on U.S. households, individuals by name and age, lifestyle interests, hobbies, purchase behavior and ethnicity along with detailed financial-related data including mortgage, wealth and credit attributes. Alesco provides hundreds of selection options to help you target your customers more precisely.

    We build the database utilizing hundreds of sources including public records, directories, county recorder and tax assessor files, US Census data, surveys, and purchase transactions. The file is built at both the individual and household levels to provide multiple targeting options. We continuously utilize USPS processing routines to give you the most complete and up-to-date addresses.

    Flexible pricing available to meet all your business needs. Data is available on a transactional basis or for yearly licensing with unlimited use cases for marketing and analytics.

  6. m

    Customer Purchase Behavior

    • data.mendeley.com
    Updated Jan 15, 2025
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    Hariharan S (2025). Customer Purchase Behavior [Dataset]. http://doi.org/10.17632/xv99b2mtfk.1
    Explore at:
    Dataset updated
    Jan 15, 2025
    Authors
    Hariharan S
    License

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

    Description

    This dataset contains information about 3,900 customers and their purchase behavior in an e-commerce setting. The data spans various customer demographics, purchase preferences, and transactional details. It is designed to help analyze customer behavior, shopping patterns, and marketing effectiveness

  7. l

    Top States With Consumers Data

    • leadsplease.com
    Updated Apr 22, 2025
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    Leadsplease (2025). Top States With Consumers Data [Dataset]. https://www.leadsplease.com/mailing-lists/consumer
    Explore at:
    Dataset updated
    Apr 22, 2025
    Dataset authored and provided by
    Leadsplease
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Dataset funded by
    Leadsplease
    Description

    Consumer Mailing Lists and Consumer Email Lists. 210+ Million Consumers. Search using detailed Demographic criteria and Geographic information.

  8. d

    Phone Number Data | USA Coverage | 765 Mil+ Numbers

    • datarade.ai
    .csv
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    BIGDBM, Phone Number Data | USA Coverage | 765 Mil+ Numbers [Dataset]. https://datarade.ai/data-products/bigdbm-us-consumer-phone-package-bigdbm
    Explore at:
    .csvAvailable download formats
    Dataset authored and provided by
    BIGDBM
    Area covered
    United States
    Description

    The US Consumer Phone file contains phone numbers, mobile and landline, tied to an individual in the Consumer Database. The fields available include the phone number, phone type, mobile carrier, and Do Not Call registry status.

    All phone numbers can be processed and cleansed using telecom carrier data. The telecom data, including phone and texting activity, porting instances, carrier scoring, spam, and known fraud activity, comprise a proprietary Phone Quality Level (PQL), which is a data-science derived score to ensure the highest levels of deliverability at a fraction of the cost compared to competitors.

    We have developed this file to be tied to our Consumer Demographics Database so additional demographics can be applied as needed. Each record is ranked by confidence and only the highest quality data is used.

    Note - all Consumer packages can include necessary PII (address, email, phone, DOB, etc.) for merging, linking, and activation of the data.

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

  9. United States CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum...

    • ceicdata.com
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    CEICdata.com, United States CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-buying-plans--intended-vacations
    Explore at:
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Consumer Survey
    Description

    CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data was reported at 5.700 % in Apr 2025. This records a decrease from the previous number of 6.000 % for Mar 2025. CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data is updated monthly, averaging 5.400 % from Feb 1967 (Median) to Apr 2025, with 637 observations. The data reached an all-time high of 11.300 % in Jan 2016 and a record low of 2.900 % in Oct 2009. CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H054: Consumer Confidence Index: Buying Plans & Intended Vacations. [COVID-19-IMPACT]

  10. d

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

    • datarade.ai
    Updated Jun 13, 2025
    + more versions
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    Giant Partners (2025). US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation [Dataset]. https://datarade.ai/data-products/us-consumer-demographic-data-269m-consumer-records-progr-giant-partners
    Explore at:
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States of America
    Description

    Premium B2C Consumer Database - 269+ Million US Records

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

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

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

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

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

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

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

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

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

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

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

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

    Delivery Methods: Secure FTP, API integration, direct download

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

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

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

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

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

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

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

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

    Contact our team to discuss your specific ta...

  11. Customer Data

    • kaggle.com
    Updated Feb 24, 2023
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    Haris Rehman (2023). Customer Data [Dataset]. https://www.kaggle.com/datasets/harisrehmanhh/customer-data/discussion?sort=undefined
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 24, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Haris Rehman
    Description

    Dataset

    This dataset was created by Haris Rehman

    Contents

  12. Best Buy Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 23, 2024
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    Bright Data (2024). Best Buy Dataset [Dataset]. https://brightdata.com/products/datasets/best-buy
    Explore at:
    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 23, 2024
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    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.

  13. Amazon Customers Dataset

    • kaggle.com
    Updated Apr 15, 2021
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    Joy Chakraborty (2021). Amazon Customers Dataset [Dataset]. https://www.kaggle.com/joychakraborty2000/amazon-customers-data/activity
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 15, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Joy Chakraborty
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Dataset

    This dataset was created by Joy Chakraborty

    Released under Database: Open Database, Contents: Database Contents

    Contents

  14. United States CSI: Home Buying Conditions

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States CSI: Home Buying Conditions [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-home-buying-and-selling-conditions/csi-home-buying-conditions
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    United States CSI: Home Buying Conditions data was reported at 140.000 1966=100 in May 2018. This records a decrease from the previous number of 144.000 1966=100 for Apr 2018. United States CSI: Home Buying Conditions data is updated monthly, averaging 149.000 1966=100 from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 182.000 1966=100 in Dec 1998 and a record low of 37.000 1966=100 in Nov 1981. United States CSI: Home Buying Conditions data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H036: Consumer Sentiment Index: Home Buying and Selling Conditions. The question was: Generally speaking, do you think now is a good time or a bad time to buy a house?

  15. c

    Transact Signal Consumer Alternative Data | USA Data | 100M+ Credit & Debit...

    • dataproducts.consumeredge.com
    Updated Apr 25, 2024
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    Consumer Edge (2024). Transact Signal Consumer Alternative Data | USA Data | 100M+ Credit & Debit Cards, 12K+ Merchants, 800+ Parent Companies, 600+ Tickers [Dataset]. https://dataproducts.consumeredge.com/products/consumer-edge-transact-signal-consumer-alternative-data-usa-consumer-edge
    Explore at:
    Dataset updated
    Apr 25, 2024
    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, available as a panelized aggregated feed.

  16. United States CSI: Large HH Goods Buying Conditions: Relative: Interest...

    • ceicdata.com
    Updated Apr 12, 2018
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    CEICdata.com (2018). United States CSI: Large HH Goods Buying Conditions: Relative: Interest Rates [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-household-durables-buying-conditions
    Explore at:
    Dataset updated
    Apr 12, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    CSI: Large HH Goods Buying Conditions: Relative: Interest Rates data was reported at 3.000 % in May 2018. This records a decrease from the previous number of 9.000 % for Apr 2018. CSI: Large HH Goods Buying Conditions: Relative: Interest Rates data is updated monthly, averaging 7.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 28.000 % in May 1986 and a record low of -30.000 % in May 1980. CSI: Large HH Goods Buying Conditions: Relative: Interest Rates data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H032: Consumer Sentiment Index: Household Durables Buying Conditions. The question was: About the big things people buy for their homes - such as furniture, a refrigerator, stove, television, etc. Generally speaking, do you think now is a good or a bad time for people to buy major household items? Responses to the query 'Why do you say so?'

  17. d

    More than 120,520 Verified Emails and Phone numbers of Dentists From USA |...

    • datarade.ai
    Updated Apr 20, 2021
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    DataCaptive (2021). More than 120,520 Verified Emails and Phone numbers of Dentists From USA | Dentists Data | DataCaptive [Dataset]. https://datarade.ai/data-categories/special-offer-promotion-data
    Explore at:
    .json, .xml, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Apr 20, 2021
    Dataset authored and provided by
    DataCaptive
    Area covered
    United States of America
    Description

    Salient Features of Dentists Email Addresses

    So make sure that you don’t find excuses for failing at global marketing campaigns and in reaching targeted medical practitioners and healthcare specialists. With our Dentists Email Leads, you will seldom have a reason not to succeed! So make haste and take action today!

    1. 1.2 million phone calls per month as a part of a data verification
    2. 85% telephone and email verified Dentist Mailing Lists
    3. Quarterly SMTP and NCOA verified to keep data fresh and active
    4. 15 million verification messages sent every month to validate email addresses
    5. Connect with top Dentists across the US, Canada, UK, Europe, EMEA, Australia, APAC and many more countries.
    6. egularly updated and cleansed databases to keep it free of duplicate and inaccurate data

    How Can Our Dentists Data Help You to Market to Dentists?

    We provide a variety of methods for marketing your dental appliances or products to the top-rated dentists in the United States. Take a glance at some of the available channels:

    • Email blast • Marketing viability • Test campaigns • Direct mail • Sales leads • Drift campaigns • ABM campaigns • Product launches • B2B marketing

    Data Sources

    The contact details of your targeted healthcare professionals are compiled from highly credible resources like: • Websites • Medical seminars • Medical records • Trade shows • Medical conferences

    What’s in for you? Over choosing us, here are a few advantages we authenticate- • Locate, target, and prospect leads from 170+ countries • Design and execute ABM and multi-channel campaigns • Seamless and smooth pre-and post-sale customer service • Connect with old leads and build a fruitful customer relationship • Analyze the market for product development and sales campaigns • Boost sales and ROI with increased customer acquisition and retention

    Our security compliance

    We use of globally recognized data laws like –

    GDPR, CCPA, ACMA, EDPS, CAN-SPAM and ANTI CAN-SPAM to ensure the privacy and security of our database. We engage certified auditors to validate our security and privacy by providing us with certificates to represent our security compliance.

    Our USPs- what makes us your ideal choice?

    At DataCaptive™, we strive consistently to improve our services and cater to the needs of businesses around the world while keeping up with industry trends.

    • Elaborate data mining from credible sources • 7-tier verification, including manual quality check • Strict adherence to global and local data policies • Guaranteed 95% accuracy or cash-back • Free sample database available on request

    Guaranteed benefits of our Dentists email database!

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  18. United States CSI: Home Buying Conditions: Bad Time to Buy

    • ceicdata.com
    Updated Mar 15, 2018
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    CEICdata.com (2018). United States CSI: Home Buying Conditions: Bad Time to Buy [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-home-buying-and-selling-conditions/csi-home-buying-conditions-bad-time-to-buy
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    Dataset updated
    Mar 15, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    United States CSI: Home Buying Conditions: Bad Time to Buy data was reported at 29.000 % in May 2018. This records an increase from the previous number of 27.000 % for Apr 2018. United States CSI: Home Buying Conditions: Bad Time to Buy data is updated monthly, averaging 24.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 79.000 % in Nov 1981 and a record low of 7.000 % in Dec 1998. United States CSI: Home Buying Conditions: Bad Time to Buy data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H036: Consumer Sentiment Index: Home Buying and Selling Conditions. The question was: Generally speaking, do you think now is a good time or a bad time to buy a house?

  19. a

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

    • data.allforce.io
    Updated Jun 18, 2025
    + more versions
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    Allforce (2025). Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase, Shopper, Lifestyle Data | Verified Email, Phone, Address [Dataset]. https://data.allforce.io/products/audience-targeting-data-i-us-consumer-behavioral-intelligen-allforce
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    Dataset updated
    Jun 18, 2025
    Dataset authored and provided by
    Allforce
    Area covered
    United States
    Description

    Consumer Intelligence: Comprehensive demographic, lifestyle & purchase data from 140M+ consumers across 8,000+ brands. Deterministic transaction-based modeling delivers 70% ROAS increase vs traditional targeting through 150+ behavioral segments.

  20. United States CSI: Large HH Goods Buying Conditions: Relative: Prices

    • ceicdata.com
    Updated Apr 12, 2018
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    CEICdata.com (2018). United States CSI: Large HH Goods Buying Conditions: Relative: Prices [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-household-durables-buying-conditions
    Explore at:
    Dataset updated
    Apr 12, 2018
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    CSI: Large HH Goods Buying Conditions: Relative: Prices data was reported at 22.000 % in May 2018. This records a decrease from the previous number of 26.000 % for Apr 2018. CSI: Large HH Goods Buying Conditions: Relative: Prices data is updated monthly, averaging 28.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 46.000 % in Dec 2015 and a record low of -21.000 % in Apr 1980. CSI: Large HH Goods Buying Conditions: Relative: Prices data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H032: Consumer Sentiment Index: Household Durables Buying Conditions. The question was: About the big things people buy for their homes - such as furniture, a refrigerator, stove, television, etc. Generally speaking, do you think now is a good or a bad time for people to buy major household items? Responses to the query 'Why do you say so?'

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FrescoData (2020). Buy Consumer Data | 1 Billion+ Data | FrescoData [Dataset]. https://www.frescodata.com/consumer-data/

Buy Consumer Data | 1 Billion+ Data | FrescoData

Explore at:
Dataset updated
Dec 9, 2020
Dataset authored and provided by
FrescoData
Description

Buy consumer data from us to find the target audience for b2c marketing. FrescoData offer the Highest Value for People and consumer marketing.

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