United States Consumer List Database with full contact information, including; Addresses, Telephone Numbers, Email Address and Location as well as hundreds of available consumer behavior/buying activity/lifestyle/interest attributes. Attribute categories include; Income, Net Worth, Home Ownership, Vehicle Ownership, Loan and Mortgage, Credit Usage, Buying Activities, Donor History and Lifestyle Interests/Hobbies. Please contact us for a full list of available attributes, list counts, and pricing.

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...

During a December 2023 survey in the United States, roughly ********** (or **** percent) of consumers aged 55 to 64 reported habitually (always or most of the time) opting out of brands' mailing lists. Among interviewees aged 18 to 24, the respective share stood at approximately ** percent.

This statistic depicts the results of a survey conducted in 2015 by the Food Marketing Institute. U.S. consumers were asked if they typically make shopping lists when buying groceries. The findings present that ** percent of Millennial shoppers create a list for their grocery shopping trip.

Grocery shopping - additional information

Consumers who shop with grocery lists are more likely to follow a healthy diet according to a study of shoppers in Pittsburgh, United States. RAND Health’s research findings claim that U.S. shoppers who frequently made grocery lists also made better food choices and had lower body weights. In 2016, the U.S. Department of Agriculture encouraged Americans to think about the meals they want to cook for the week and make a list before going grocery shopping. By doing so, people would buy only the things they need, make fewer shopping trips, and therefore, save time and money. It goes without saying that, having a well-planned grocery list makes shopping easier and more efficient.

According to the Food Marketing Institute, most U.S. consumers made grocery lists. In 2015, more than three-fourths of the respondents aged 37 years and older made lists before going shopping, particularly, the Baby Boomer generation. In addition to that, the most popular time for creating a grocery list was “during the week”.

Over the past five years, the U.S. weekly grocery expenditure fluctuated between **** U.S. dollars to ***** U.S. dollars. In 2015, households in the United States had spent an average of ***** U.S. dollars on groceries per week. That year, the weekly average of grocery trips per household was ***.

With Versium REACH's Contact Append or Contact Append Plus you can add consumer contact data, including multiple phone numbers or mobile-only to your list of customers or prospects. With Versium REACH you are connected to our proprietary database of over 300+ million consumers, 1 Billion emails, and over 150 million households in the United States. Through either our API or platform you can have contact data appended to your records with any of the following supplied values; Email Address Phone Postal Address, City, State, ZIP First Name, Last Name, City, State First Name, Last Name, ZIP

This statistic depicts the results of a survey conducted in 2015 by the Food Marketing Institute. U.S. consumers who typically make shopping lists when buying groceries were asked when they usually create that list. The findings present that ** percent of Millennial shoppers create a grocery shopping list fright before they go to the store.

T-Mobile US, Inc. is a major wireless network operator in the United States, known for its innovative plans and customer-centric approach. T-Mobile Offers a wide range of wireless services, including voice, data, and messaging, to both individual and business customers. T-Mobile's network covers a vast area of the United States, providing reliable connectivity to millions of users. T-Mobile's business model is primarily based on subscription fees from its wireless services. Customers pay monthly fees for their chosen plans, which include a certain amount of data, talk, and text. T-Mobile also generates revenue from device sales, accessories, and additional services like international roaming and premium features. You can download the complete list of key information about T-Mobile locations, contact details, services offered, and geographical coordinates, beneficial for various applications like store locators, business analysis, and targeted marketing. The T-Mobile data you can download includes:

Identification & Location: 


  Store_name, store_is, store_type, address, address_line_2, city, state, zip_code, latitude, longitude, country, country_code, county, geo_accuracy


Contact Information: 


  Phone_number, website_address, 


Operational Details & Services:


  Store_hours,

This statistic shows the results of a survey on the food shopping planning habits of U.S. Gen X consumers in 2015. During the survey, approximately 28 percent of the respondents answered that they made shopping lists right before going to the store.

This statistic depicts the usage share of different types of grocery shopping lists among U.S. consumers in 2013, by generation. Some 64 percent of Generation X consumers reported to use a paper shopping list, while 25 percent of Gen X shoppers prefer a digital list for grocery shopping.

In May 2022, just over ** percent of consumers in the United States reported using smart assistants such as Alexa to create their shopping lists. A total **** percent of these consumers were creating shopping lists with their smart assistant devices on a weekly basis.

With the phone book era far in the past, database and directory publishers have been forced to transform their business approach, focusing on their digital presence. Despite many publishers rapidly moving away from print services, they are experiencing immovable competition from online search engines and social media platforms within the digital space, negatively affecting revenue growth potential. Industry revenue has been eroding at a CAGR of 4.4% over the past five years and in 2024, a 3.9% drop has led to the industry revenue totaling $4.4 billion. Profit continues to drop in line with revenue, accounting for 4.7% of revenue as publishers invest more in their digital platforms. Interest in printed directories has disappeared as institutional clients and consumers have continued their shift to convenient online resources. Declining demand for print advertising has curbed revenue growth and online revenue has only slightly mitigated this downturn. Though many traditional publishers, such as Yellow Pages, now operate under parent companies with digital resources, directory publishers remain low on the list of options businesses have to choose from in digital advertising. Due to the convenience and connectivity that Facebook and Google services offer, traditional directory publishers have a limited ability to compete. Many providers have rebranded and tailored their services toward client needs, though these efforts have only had a marginal impact on revenue growth. The industry is forecast to decline at an accelerated CAGR of 5.2% over the next five years, reaching an estimated $3.4 billion in 2029, as businesses and consumers continually turn to digital alternatives for information and advertising opportunities. As AI and digital technology innovation expands, social media company products will likely improve at a faster rate than the digital offerings that directory publishers can provide. Though these companies will seek external partnerships to cut costs, they face an uphill battle to boost their visibility and reverse consumer habit trends.

Resident/Occupant Database

Alesco Data's Resident/Occupant Database includes over 143 million addresses and reaches virtually 100% of every U.S. household in every Zip Code throughout the country. With newly added business addresses, you now have the option to reach every postal delivery point in the country.

This address file is updated every month in conjunction with the U.S. Post Office, making it the freshest, most deliverable mailing list available. You have the ability to order addresses by Carrier Route, ZIP, County or State.

Our Resident/Occupant Database contains names of residents on approximately 80% of the file and are available when requested. Otherwise, records are addressed to "Resident" or “Boxholder”. This file is ideal for saturation mailings. Each list is “walk sequenced” at the time of order and qualifies for the lowest available postage rates.

Abstract

The Consumer Expenditure Survey (CE) program provides a continuous and comprehensive flow of data on the buying habits of American consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. These data are used widely in economic research and analysis, and in support of revisions of the Consumer Price Index. The Consumer Expenditure Survey (CE) program consists of two surveys, the Quarterly Interview Survey and the Diary Survey, that provide information on the buying habits of America's consumers, including data on their expenditures, income, and consumer unit (families and single consumers) characteristics. The survey data are collected for the Bureau of Labor Statistics by the U.S. Census Bureau. The CE is important because it is the only Federal survey to provide information on the complete range of consumers' expenditures and incomes, as well as the characteristics of those consumers. It is used by economic policymakers examining the impact of policy changes on economic groups, by the Census Bureau as the source of thresholds for the Supplemental Poverty Measure, by businesses and academic researchers studying consumers' spending habits and trends, by other Federal agencies, and, perhaps most importantly, to regularly revise the Consumer Price Index market basket of goods and services and their relative importance.

Geographic coverage

National

Analysis unit

Consumer Units

Universe

Eligible population includes all civilian non-institutional persons.

Kind of data

Sample survey data [ssd]

Sampling procedure

Samples for the CE are national probability samples of households designed to be representative of the total U.S. civilian population. Eligible population includes all civilian non-institutional persons. The first step in sampling is the selection of primary sampling units (PSUs), which consist of counties (or parts thereof) or groups of counties. The set of sample PSUs used for the 2012 and 2013 samples is composed of 91 areas. The design classifies the PSUs into four categories:

? 21 "A" certainty PSUs are Metropolitan Statistical Areas (MSA's) with a population greater than 1.5 million. ? 38 "X" PSUs, are medium-sized MSA's. ? 16 "Y" PSUs are nonmetropolitan areas that are included in the CPI. ? 16 "Z" PSUs are nonmetropolitan areas where only the urban population data will be included in the CPI.

The sampling frame (that is, the list from which housing units were chosen) for the 2012 survey is generated from the 2000 Census of Population 100-percent-detail file. The sampling frame is augmented by new construction permits and by techniques used to eliminate recognized deficiencies in census coverage. All Enumeration Districts (EDs) from the Census that fail to meet the criterion for good addresses for new construction, and all EDs in nonpermit-issuing areas are grouped into the area segment frame. Interviewers are then assigned to list these areas before a sample is drawn. To the extent possible, an unclustered sample of units is selected within each PSU. This lack of clustering is desirable because the sample size of the Diary Survey is small relative to other surveys, while the intraclass correlations for expenditure characteristics are relatively large. This suggests that any clustering of the sample units could result in an unacceptable increase in the within-PSU variance and, as a result, the total variance. The Interview Survey is a panel rotation survey. Each panel is interviewed for five consecutive quarters and then dropped from the survey. As one panel leaves the survey, a new panel is introduced. Approximately 20 percent of the addresses are new to the survey each month.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The CE program is comprised of two separate components, each with its own questionnaire and independent sample: (1) the quarterly Interview Survey, and (2) the Diary Survey.

Consumer Price Index CPI in the United States increased to 322.56 points in June from 321.46 points in May of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

As of April 2022, Millennials in the United States were the most likely to use voice assistants to create shopping lists, with over ** percent reporting such. Generation Z consumers followed, with just under ** percent creating shopping lists with voice assistants.

This statistic shows the results of a survey conducted in the United States in October 2018. U.S. consumers were asked if they were using the holiday promotions to make a purchase on which they had previously held off. During the survey, ** percent of the respondents aged 18 to 29 years said that they planned to use the promotions to purchase consumer electronics.

This is a complete list of U.S. Cellular locations, along with their geographic coordinates. U.S. Cellular is a wireless telecommunications network in the United States. US Cellular was founded in 1983 and is headquartered in Chicago.

Available only on the web, provides information for airport pair markets rather than city pair markets. This table only lists airport markets where the origin or destination airport is an airport that has other commercial airports in the same city. Midway Airport (MDW) and O'Hare (ORD) are examples of this. All records are aggregated as directionless markets. The combination of Airport_1 and Airport_2 define the airport pair market. All traffic traveling in both directions is added together. https://www.transportation.gov/policy/aviation-policy/competition-data-analysis/research-reports

In 2021, ** percent of respondents of a survey conducted in the United States stated that when shopping for food or beverages, they seek information about the product's ingredients on the ingredients list of the food package.

This is the collection associated with list S22 EPACONS on the NORMAN Suspect List Exchange.

https://www.norman-network.com/?q=suspect-list-exchange

S22

EPACONS

US EPA Consumer Product Suspect List

Original File XLSX (1/03/2018)
Merged Suspects XLSX (1/03/2018)
Merged Suspects CSV (1/03/2018)

CompTox EPACONS List

Merged Consumer Product InChIKeys (1/03/2018)

Suspects in supporting information from Phillips et al. 2018, DOI: 10.1021/acs.est.7b04781 - Suspect Screening Analysis of Chemicals in Consumer Products with GCxGC-TOF/MS matched with NIST.