100+ datasets found
  1. d

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

    • datarade.ai
    .csv, .xls
    Updated Nov 14, 2023
    + more versions
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    Allforce (formerly Solution Publishing) (2023). Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase, Shopper, Lifestyle Data | Verified Email, Phone, Address [Dataset]. https://datarade.ai/data-categories/consumer-data/datasets
    Explore at:
    .csv, .xlsAvailable download formats
    Dataset updated
    Nov 14, 2023
    Dataset authored and provided by
    Allforce (formerly Solution Publishing)
    Area covered
    United States of America
    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.

  2. U.S. consumer satisfaction with chatbot customer service 2022

    • statista.com
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    Statista, U.S. consumer satisfaction with chatbot customer service 2022 [Dataset]. https://www.statista.com/statistics/657148/united-states-consumer-satisfaction-with-chatbot-service/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2022
    Area covered
    United States
    Description

    During a 2022 survey carried out among consumers from the United States, a ******* of respondents stated they were happy or very happy to communicate with an AI chatbot when contacting a business. However, ** percent said they were not happy or not happy at all to do so.

  3. M

    U.S. Consumer Spending

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). U.S. Consumer Spending [Dataset]. https://www.macrotrends.net/global-metrics/countries/usa/united-states/consumer-spending
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Time period covered
    Jan 1, 1970 - Dec 31, 2023
    Area covered
    United States
    Description

    Historical chart and dataset showing U.S. consumer spending by year from 1970 to 2023.

  4. T

    United States Consumer Credit Change

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 6, 2025
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    TRADING ECONOMICS (2025). United States Consumer Credit Change [Dataset]. https://tradingeconomics.com/united-states/consumer-credit
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jun 6, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 1943 - Apr 30, 2025
    Area covered
    United States
    Description

    Consumer Credit in the United States increased to 17.87 USD Billion in April from 8.60 USD Billion in March of 2025. This dataset provides the latest reported value for - United States Consumer Credit Change - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  5. U.S. annual consumer expenditures 1990-2023

    • statista.com
    Updated Oct 23, 2024
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    Statista (2024). U.S. annual consumer expenditures 1990-2023 [Dataset]. https://www.statista.com/statistics/247455/annual-us-consumer-expenditures/
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    Dataset updated
    Oct 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, the average annual expenditures of consumer units in the United States totaled to 77,280 U.S. dollars. This is an increase from the previous year, when the average annual expenditures of consumer units totaled to 72,967 U.S. dollars.

  6. U.S. annual consumer spending 2023, by type

    • statista.com
    Updated Oct 23, 2024
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    Statista (2024). U.S. annual consumer spending 2023, by type [Dataset]. https://www.statista.com/statistics/247407/average-annual-consumer-spending-in-the-us-by-type/
    Explore at:
    Dataset updated
    Oct 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    United States
    Description

    In 2023, the average consumer unit in the United States spent about 9,985 U.S. dollars on food. Americans spent the most on housing, at 25,436 U.S. dollars, reflecting around one third of annual expenditure. The total average U.S. consumer spending amounted to 77,280 U.S. dollars.

  7. d

    US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct...

    • datarade.ai
    Updated Jun 13, 2025
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    Giant Partners (2025). US Consumer Marketing Data - 269M+ Consumer Records - 95% Email and Direct Dials Accuracy [Dataset]. https://datarade.ai/data-products/consumer-business-data-postal-phone-email-demographics-giant-partners
    Explore at:
    Dataset updated
    Jun 13, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States
    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 targeting requirements and receive custom pricing for your marketing objectives.

  8. U.S.: consumer satisfaction in cleaning and personal care companies...

    • statista.com
    Updated Jun 25, 2025
    + more versions
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    Statista (2025). U.S.: consumer satisfaction in cleaning and personal care companies 2022-2023 [Dataset]. https://www.statista.com/statistics/1445240/consumer-satisfaction-cleaning-and-personal-care-products-companies-us/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2023, Clorox and Procter & Gamble scored highest on the consumer satisfaction index for personal care and cleaning product manufacturers in the United States with a rating of **, five points above Johnson & Johnson.

  9. United States Consumer Confidence Growth

    • ceicdata.com
    • dr.ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States Consumer Confidence Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/consumer-confidence-growth
    Explore at:
    Dataset updated
    Nov 27, 2021
    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
    Description

    Key information about United States Consumer Confidence Growth

    • United States Consumer Confidence dropped by 6.2 % in Feb 2025, compared with a decrease of 5.0 % in the previous month.
    • US Consumer Confidence: YoY Change is updated monthly, available from Feb 1968 to Feb 2025, averaged at 1.2 %.
    • The data reached an all-time high of 116.9 % in Dec 1975 and a record low of -66.9 % in Feb 2009.
    • In the latest reports, Retail Sales of US grew 1.0 % YoY in May 2023.

    CEIC calculates Consumer Confidence Change from monthly Consumer Confidence Index. Conference Board provides Consumer Confidence Index with base 1985=100.

  10. U

    USA Consumer confidence survey, June, 2025 - data, chart |...

    • theglobaleconomy.com
    csv, excel, xml
    Updated Aug 7, 2024
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    Globalen LLC (2018). USA Consumer confidence survey, June, 2025 - data, chart | TheGlobalEconomy.com [Dataset]. www.theglobaleconomy.com/USA/consumer_confidence_survey/
    Explore at:
    csv, excel, xmlAvailable download formats
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Jan 31, 1978 - Jun 30, 2025
    Area covered
    United States
    Description

    Consumer confidence survey in the USA, June, 2025 The most recent value is 60.5 points as of June 2025, an increase compared to the previous value of 52.2 points. Historically, the average for the USA from January 1978 to June 2025 is 84.43 points. The minimum of 50 points was recorded in June 2022, while the maximum of 112 points was reached in January 2000. | TheGlobalEconomy.com

  11. United States Consumer Confidence: Current Index

    • ceicdata.com
    Updated Jan 15, 2023
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    CEICdata.com (2023). United States Consumer Confidence: Current Index [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-survey/consumer-confidence-current-index
    Explore at:
    Dataset updated
    Jan 15, 2023
    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
    Feb 1, 2022 - Jan 1, 2023
    Area covered
    United States
    Variables measured
    Consumer Survey
    Description

    United States Consumer Confidence: Current Index data was reported at 38.471 Index in Jan 2023. This records an increase from the previous number of 38.436 Index for Dec 2022. United States Consumer Confidence: Current Index data is updated monthly, averaging 46.474 Index from Jan 2002 (Median) to Jan 2023, with 253 observations. The data reached an all-time high of 57.063 Index in May 2018 and a record low of 27.208 Index in Mar 2009. United States Consumer Confidence: Current Index data remains active status in CEIC and is reported by Ipsos Group S.A.. The data is categorized under Global Database’s United States – Table US.IPSOS: Consumer Confidence Survey.

  12. Data from: Consumer Complaint Database

    • catalog.data.gov
    • datalumos.org
    • +1more
    Updated Aug 16, 2024
    + more versions
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    Consumer Financial Protection Bureau (2024). Consumer Complaint Database [Dataset]. https://catalog.data.gov/dataset/consumer-complaint-database
    Explore at:
    Dataset updated
    Aug 16, 2024
    Dataset provided by
    Consumer Financial Protection Bureauhttp://www.consumerfinance.gov/
    Description

    The Consumer Complaint Database is a collection of complaints about consumer financial products and services that we sent to companies for response. Complaints are published after the company responds, confirming a commercial relationship with the consumer, or after 15 days, whichever comes first. Complaints referred to other regulators, such as complaints about depository institutions with less than $10 billion in assets, are not published in the Consumer Complaint Database. The database generally updates daily.

  13. F

    Consumer Opinion Surveys: Composite Consumer Confidence for United States

    • fred.stlouisfed.org
    json
    Updated Jun 16, 2025
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    (2025). Consumer Opinion Surveys: Composite Consumer Confidence for United States [Dataset]. https://fred.stlouisfed.org/series/USACSCICP02STSAM
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Opinion Surveys: Composite Consumer Confidence for United States (USACSCICP02STSAM) from Jan 1960 to May 2025 about , and composite.

  14. F

    Consumer Price Index for All Urban Consumers: Durables in U.S. City Average

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
    + more versions
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    (2025). Consumer Price Index for All Urban Consumers: Durables in U.S. City Average [Dataset]. https://fred.stlouisfed.org/series/CUUR0000SAD
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Consumer Price Index for All Urban Consumers: Durables in U.S. City Average (CUUR0000SAD) from Mar 1935 to May 2025 about durable goods, urban, consumer, goods, CPI, inflation, price index, indexes, price, and USA.

  15. United States CES: 25 to 34Yrs: AAE: Housing: Utilities: Water & Other...

    • ceicdata.com
    Updated Mar 29, 2018
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    CEICdata.com (2018). United States CES: 25 to 34Yrs: AAE: Housing: Utilities: Water & Other Public Svcs [Dataset]. https://www.ceicdata.com/en/united-states/consumer-expenditure-survey-by-age-group
    Explore at:
    Dataset updated
    Mar 29, 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
    Dec 1, 2005 - Dec 1, 2016
    Area covered
    United States
    Variables measured
    Household Income and Expenditure Survey
    Description

    CES: 25 to 34Yrs: AAE: Housing: Utilities: Water & Other Public Svcs data was reported at 453.000 USD in 2016. This records an increase from the previous number of 421.000 USD for 2015. CES: 25 to 34Yrs: AAE: Housing: Utilities: Water & Other Public Svcs data is updated yearly, averaging 234.000 USD from Dec 1984 (Median) to 2016, with 33 observations. The data reached an all-time high of 453.000 USD in 2016 and a record low of 109.000 USD in 1985. CES: 25 to 34Yrs: AAE: Housing: Utilities: Water & Other Public Svcs data remains active status in CEIC and is reported by Bureau of Labor Statistics. The data is categorized under Global Database’s USA – Table US.H040: Consumer Expenditure Survey: By Age Group.

  16. d

    Consumer Confidence

    • prosper.datapostie.com
    csv, excel, json, xml
    Updated Jan 15, 2024
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    Prosper (2024). Consumer Confidence [Dataset]. https://prosper.datapostie.com/dataset/1
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    Dataset updated
    Jan 15, 2024
    Dataset authored and provided by
    Prosper
    License

    https://storage.googleapis.com/prosper-datapostie-public/DATA%20SUBSCRIPTION%20AGREEMENT%20FOR%20PROSPER%20INSIGHTS%20%26%20ANALYTICS%20THROUGH%20THE%20DATAPOSTIE%20PLATFORM.pdfhttps://storage.googleapis.com/prosper-datapostie-public/DATA%20SUBSCRIPTION%20AGREEMENT%20FOR%20PROSPER%20INSIGHTS%20%26%20ANALYTICS%20THROUGH%20THE%20DATAPOSTIE%20PLATFORM.pdf

    Time period covered
    Jan 1, 2005 - Sep 1, 2024
    Area covered
    US East, US Midwest, US West, US South, US North, United States of America
    Description

    The overall consumer confidence in the economy, based on direct survey results

  17. F

    Industrial Production: Consumer Goods

    • fred.stlouisfed.org
    json
    Updated Jun 17, 2025
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    (2025). Industrial Production: Consumer Goods [Dataset]. https://fred.stlouisfed.org/series/IPCONGD
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 17, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Industrial Production: Consumer Goods (IPCONGD) from Jan 1939 to May 2025 about IP, production, consumer, goods, industry, indexes, and USA.

  18. T

    United States - Consumer Price Index for All Urban Consumers: Information...

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 18, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - Consumer Price Index for All Urban Consumers: Information Technology, Hardware and Services in U.S. City Average [Dataset]. https://tradingeconomics.com/united-states/consumer-price-index-for-all-urban-consumers-information-technology-hardware-and-services-fed-data.html
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Feb 18, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - Consumer Price Index for All Urban Consumers: Information Technology, Hardware and Services in U.S. City Average was 6.82000 Index Dec 1988=100 in March of 2025, according to the United States Federal Reserve. Historically, United States - Consumer Price Index for All Urban Consumers: Information Technology, Hardware and Services in U.S. City Average reached a record high of 100.00000 in December of 1988 and a record low of 6.72100 in December of 2024. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Consumer Price Index for All Urban Consumers: Information Technology, Hardware and Services in U.S. City Average - last updated from the United States Federal Reserve on June of 2025.

  19. d

    Phone Number Data | USA Coverage | 765 Mil+ Numbers

    • datarade.ai
    .csv
    + more versions
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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

  20. U

    United States CSI: Government Economic Policy: Good Job

    • ceicdata.com
    Updated Apr 12, 2018
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    CEICdata.com (2018). United States CSI: Government Economic Policy: Good Job [Dataset]. https://www.ceicdata.com/en/united-states/consumer-sentiment-index-unemployment-interest-rates-prices-and-government-expectations
    Explore at:
    Dataset updated
    Apr 12, 2018
    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
    Apr 1, 2017 - Mar 1, 2018
    Area covered
    United States
    Description

    CSI: Government Economic Policy: Good Job data was reported at 28.000 % in May 2018. This records a decrease from the previous number of 30.000 % for Apr 2018. CSI: Government Economic Policy: Good Job data is updated monthly, averaging 19.000 % from Jan 1978 (Median) to May 2018, with 485 observations. The data reached an all-time high of 49.000 % in Mar 1999 and a record low of 4.000 % in Dec 2008. CSI: Government Economic Policy: Good Job data remains active status in CEIC and is reported by University of Michigan. The data is categorized under Global Database’s USA – Table US.H030: Consumer Sentiment Index: Unemployment, Interest Rates, Prices and Government Expectations. The question was: As to the economic policy of the government -- I mean steps taken to fight inflation or unemployment -- would you say the government is going a good job, only fair, or a poor job?

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Allforce (formerly Solution Publishing) (2023). Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase, Shopper, Lifestyle Data | Verified Email, Phone, Address [Dataset]. https://datarade.ai/data-categories/consumer-data/datasets

Audience Targeting Data I US Consumer | Behavioral Intelligence | Purchase, Shopper, Lifestyle Data | Verified Email, Phone, Address

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.csv, .xlsAvailable download formats
Dataset updated
Nov 14, 2023
Dataset authored and provided by
Allforce (formerly Solution Publishing)
Area covered
United States of America
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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