COMPREHENSIVE ANALYSIS

Who Buys Your Data from Data Brokers?

Your personal information is bought and sold by a vast ecosystem of organizations. Here's who's purchasing your data and what they're doing with it.

1. Government & Law Enforcement

Federal, state, and local agencies routinely purchase commercially available data (CAI)—including precise location, travel/airline, and utility/home records—often to sidestep warrant requirements.

Examples with Evidence:

Venntel/Gravy Analytics: Sold sensitive location data; the FTC took action in Dec 2024 over tracking people to health clinics and places of worship. Buyers included federal agencies.

Source: Federal Trade Commission

LexisNexis Accurint: Contracts used by ICE and other agencies for people-search, license, and utility data; investigations and litigation detail extensive law-enforcement use.

Sources: VICE, Colorado Law Scholarly Commons

Flight Data Sales: 2025 reporting shows flight reservation data sold to CBP/ICE via brokers.

Source: Electronic Frontier Foundation

Supporting Organizations:

Electronic Frontier Foundation POGO

2. Advertisers, Ad-Tech & Platforms

Brands, ad networks, and DSPs buy or license audience segments (interests, behaviors, geolocation, purchase history) to micro-target ads across web, apps, CTV/streaming.

Scale & Evidence:

Granular Targeting: 650,000+ granular audience labels (e.g., "heavy purchasers of pregnancy tests," "depression-prone") illustrate the precision of segments resold through ad platforms.

Source: The Markup

Oracle's Data Empire: Oracle's acquisitions (BlueKai/Datalogix) show how retail purchase data links to ad targeting used by major platforms.

Source: WIRED

Research Source:

New America

3. Retailers & E-commerce

Retailers enrich CRM/loyalty files with third-party attributes to model churn, CLV, and look-alike audiences; vendors like Acxiom market these "people-based" enrichment services.

Key Vendor:

Acxiom: Leading provider of people-based enrichment services for retailers

Source: Acxiom

4. Financial Services & Insurers

Banks and lenders use brokered data for identity verification, fraud, and customer acquisition (sometimes under FCRA constraints). Background-check/people-search brokers have faced FTC actions when acting as CRAs.

Major Case Study:

Auto Insurance Data Sharing: Auto insurers received driving/telematics data (speeding, late-night driving) via automaker data streams and brokers; a 2025 FTC settlement banned GM/OnStar from sharing such data for five years and noted relationships with LexisNexis and Verisk.

Source: AP News

Regulatory Actions:

Federal Trade Commission

5. Health, Wellness & Pharma

Health marketers, pharma, and insurers acquire wearable/app and retail pharmacy–adjacent data from commercial sources to target audiences and model risks—not protected by HIPAA when collected outside covered entities.

Privacy Concerns:

Consumer Warning: Consumer groups warn brokers may share medical-adjacent signals with insurers/retailers, impacting prices and access.

Source: Consumer Federation of America

Research Source:

MDPI

6. Political Campaigns & Advocacy

Data-driven campaigns buy brokered segments and specialized voter files (e.g., TargetSmart, i360) to micro-target fundraising, persuasion, and turnout across platforms; occasional data routing mishaps (Snap/i360) reveal how widely these feeds are integrated.

Key Vendors:

TargetSmart i360

Research Sources:

Electronic Frontier Foundation i360

7. Other Data Firms (Broker-to-Broker Resale)

Brokers frequently license to each other to "enrich" files, making provenance opaque—a long-standing problem identified by the FTC.

Regulatory Concern:

Federal Trade Commission

How Your Data Flows to Buyers

Understanding the journey from data collection to purchase helps reveal the scope of the data broker ecosystem and who ultimately benefits from your personal information.

Data flow infographic showing how personal data moves from collection sources through data brokers to various buyers including government agencies, advertisers, financial services, and other organizations

This visualization shows the complex ecosystem where your personal data is collected, processed, and sold to various buyers across industries.

Multiple Collection Points

Your data is gathered from dozens of sources simultaneously

Broker Networks

Data brokers buy and sell to each other, creating complex webs

Diverse Buyers

From government agencies to advertisers, many industries purchase your data

What's Being Bought (Typical Categories)

Location & Mobility

GPS pings, geofences, venue visits (clinics, houses of worship, military bases).

Source: Federal Trade Commission

Identity & People-Search

Names, aliases, addresses, utilities, licenses, property, relatives, court records.

Source: VICE

Purchases & Loyalty

In-store and e-commerce transactions linked to emails/IDs via Datalogix/retail partners.

Source: WIRED

Telematics & "Smart" Product Data

Vehicle driving behavior, app telemetry, CTV viewing.

Source: AP News

Wearable & App Health Signals

Fitness, fertility, mental-health app events, sleep/heart metrics outside HIPAA.

Source: MDPI

Modeled Traits & Inferences

Psychographics, propensity scores, "life events," political leanings.

Source: The Markup

Why Buyers Purchase (Common Use Cases)

Targeted Advertising & Measurement

Web, mobile, CTV, retail media targeting and campaign measurement.

Source: New America

Risk, Fraud & Identity

For finance, fintech, and government verification and fraud prevention.

Source: Federal Trade Commission

Investigations & Surveillance

Pattern-of-life analysis, skip tracing, immigration enforcement.

Source: VICE

Political Persuasion & Mobilization

Fundraising at household or individual level, voter targeting.

Source: Electronic Frontier Foundation

Insurance Pricing & Eligibility

Auto, health-adjacent insurance pricing and eligibility determinations.

Source: AP News

Buyer Ecosystem (Structured Reference)

Buyer Category Typical Data Acquired Illustrative Vendors Public Evidence
Government & LE GPS pings, airline/PNR, utilities, people-search Venntel/Gravy, LexisNexis
Federal Trade Commission
Electronic Frontier Foundation
Advertisers/Ad-tech/CTV Audience segments, purchase, location Oracle (BlueKai/Datalogix), Xandr
WIRED
Retailers & e-commerce Loyalty, enrichment attributes Acxiom & peers
Acxiom
Finance & insurers Identity, fraud, driving/telematics LexisNexis, Verisk
AP News
Health, wellness & pharma Wearables/app signals, shopping
MDPI
Political campaigns Voter files + commercial segments TargetSmart, i360
Electronic Frontier Foundation
i360
Other brokers/resellers "Enrichment," modeled traits Many
Federal Trade Commission

This structured reference table provides a comprehensive overview of the data buyer ecosystem with verified sources and evidence.

Recent Enforcement & Policy Actions

FTC v. Gravy Analytics/Venntel

December 2024: FTC took action over sale of sensitive location data tracking people to health clinics and places of worship.

Impact: First major enforcement against location data brokers selling to government agencies

FTC–GM/OnStar Settlement

January 2025: Banned sharing of telematics data used by insurers; terminated broker relationships.

Impact: Set precedent for automotive data sharing restrictions

Government Scrutiny Increasing

Watchdog groups and Congress are pressing government agencies to curb purchases of commercially available information (CAI), with new oversight measures being implemented.

Your Data is Big Business

This vast ecosystem of data buyers operates largely in the shadows, purchasing and using your personal information for purposes you may never know about.