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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Historical chart and dataset showing U.S. consumer spending by year from 1970 to 2023.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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.
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.
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:
Define your target audience criteria
Recommend optimal data selections
Provide sample data for testing
Configure delivery methods and formats
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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Key information about United States Consumer Confidence Growth
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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.
https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required
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.
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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
The overall consumer confidence in the economy, based on direct survey results
https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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?
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.