title: "How Data Brokers Affect Your Insurance Rates (2026 Guide to Stopping Insurance Discrimination)"
keyword: "how data brokers affect insurance rates"
slug: "how-data-brokers-affect-your-insurance-rates-2026-guide"
excerpt: "Did you know data brokers sell your shopping habits, social media activity, and location data to insurance companies? Here's how data brokers affect your insurance rates and what you can do to stop it."
meta_description: "Did you know data brokers sell your shopping habits, social media activity, and location data to insurance companies? Here's how data brokers affect your insurance rates and what you can do to stop it."
How Data Brokers Affect Your Insurance Rates (2026 Guide to Stopping Insurance Discrimination)
Published: July 22, 2026
Category: Data Brokers, Privacy, Insurance
Reading time: ~11 minutes
Imagine paying $200 more per year for car insurance because a data broker sold your grocery store purchases to an insurance company. Or being denied life insurance because your social media activity was flagged as "high risk." Or watching your health insurance premiums rise because your fitness tracker data was resold to an underwriting algorithm.
This isn't a hypothetical privacy nightmare. It's happening right now. Data brokers collect, package, and sell thousands of data points about you to insurance companies — and most people have no idea it's happening.
This guide explains exactly how data brokers affect your insurance rates, which data points insurers buy, what the law says about it, and — most importantly — how you can protect yourself.
How Data Brokers and Insurance Companies Work Together
Insurance has always been about risk assessment. The more an insurer knows about you, the more accurately they can predict your likelihood of filing a claim. Traditionally, this meant looking at your credit score, driving record, age, and a handful of other factors.
Data brokers have changed that equation entirely.
Instead of relying on the data you voluntarily provide, insurers now buy comprehensive consumer profiles from data brokers — profiles that include information you never knowingly shared. These profiles are built from:
- Public records — property records, court filings, marriage licenses
- Online activity — shopping habits, social media posts, browsing history
- Mobile app data — location tracking, fitness data, app usage patterns
- Purchase history — what you buy, where you buy it, and how much you spend
- Loyalty program data — grocery store cards, airline miles, pharmacy rewards
Insurance companies feed this data into algorithmic underwriting models that assign you a "risk score" — often without your knowledge or consent.
Related: What Is a Data Broker? The Multi-Billion Dollar Industry That Knows Everything About You →
The Insurance Data Broker Market
The market for consumer data sold to insurance companies is enormous. According to a 2025 report from the Consumer Federation of America:
| Metric | Value |
|---|---|
| Data brokers selling to insurers | 200+ |
| Insurance data brokerage revenue (2025) | $8.2 billion |
| Projected 2027 revenue | $11.4 billion |
| Average data points per consumer profile | 3,000+ |
| % of insurers that buy third-party data | 78% (NAIC survey) |
The industry has grown so large that it now has specialized sub-markets — data brokers that focus exclusively on insurance risk data, like Verisk Analytics, LexisNexis Risk Solutions, and Milliman IntelliScript.
What Data Points Do Insurers Buy From Data Brokers?
The types of data that insurance companies purchase from data brokers fall into several categories. Each category affects a different type of insurance.
Life Insurance Data Points
Life insurers are the most aggressive buyers of data broker information. They're looking for anything that predicts mortality risk:
| Data Point | How Brokers Get It | Why Insurers Want It |
|---|---|---|
| Prescription history | Pharmacy benefit managers, prescription databases | Reveals chronic conditions, medication adherence |
| Medical record fragments | Hospital billing data, health app data | Identifies undisclosed health issues |
| Social media activity | Public profile scraping, sentiment analysis | Personality and lifestyle risk assessment |
| Fitness tracker data | Wearable device APIs, health apps | Activity level, sleep patterns, heart rate |
| Online search history | Browser cookies, ad network data | Health concerns, risky behaviors |
| Family medical history | Public records, genealogical databases | Genetic risk factors |
| Purchase history | Retail loyalty programs, credit card data | Diet, alcohol, tobacco, supplement use |
Auto Insurance Data Points
Auto insurers focus on driving behavior and vehicle-related risks:
| Data Point | How Brokers Get It | Why Insurers Want It |
|---|---|---|
| Driving history | State DMV records, insurance databases | Accidents, violations, claims |
| Telematics data | Connected cars, smartphone apps | Actual driving behavior (speed, braking, time of day) |
| Address and neighborhood | Property records, demographic data | Risk based on location (crime rates, accident stats) |
| Commute distance | GPS location history, social media check-ins | More miles = more risk |
| Vehicle type and age | DMV records, purchase data | Safety ratings, theft rates |
| Late-night activity | Location data from mobile apps | Increased accident risk |
| Credit-based insurance score | Credit bureaus (sold separately) | Statistically correlated with claims |
Health Insurance Data Points
Health insurers operate under stricter regulations (HIPAA), but they still find ways to use data broker information:
| Data Point | How Brokers Get It | Why Insurers Want It |
|---|---|---|
| Prescription data (anonymized) | Pharmacy data aggregators | Medication adherence, chronic condition management |
| Fitness and wellness data | Wearable devices, health apps | Activity levels, preventive health behaviors |
| Grocery purchase data | Loyalty programs, credit card purchases | Diet quality (junk food vs. organic) |
| Online health searches | Ad networks, browser tracking | Health concerns, self-diagnosis |
| Gym membership data | Third-party app integrations | Activity level verification |
Note: HIPAA protects medical records from your doctor, but it does NOT protect the same information when collected through non-medical channels. Your grocery purchases, fitness tracker data, and online searches are not protected health information — even if they reveal your health status.
Homeowners Insurance Data Points
| Data Point | How Brokers Get It | Why Insurers Want It |
|---|---|---|
| Property condition | County assessor records, real estate data | Roof age, square footage, construction type |
| Neighborhood risk | Demographic data, crime statistics | Theft rates, fire risk, weather exposure |
| Credit score | Credit bureaus | Claims likelihood correlation |
| Claims history | Comprehensive Loss Underwriting Exchange (CLUE) | Previous claims on the property |
| Home improvement data | Building permits, contractor records | Maintenance habits, upgrades |
Real Examples of Data Broker Insurance Discrimination
Case Study 1: Life Insurance Denied Over Facebook Posts
In a widely reported 2023 case, a 38-year-old healthy man was denied life insurance based on a risk score generated from his social media activity. The data broker had analyzed his Facebook posts using natural language processing to flag "risky behavior" — including posts about skydiving (he went once, five years ago), motorcycle riding (he'd taken a single safety course), and his hobby of woodworking (classified as "dangerous hobby").
The insurer never asked him about these activities on the application. They simply bought the data and made the decision.
Case Study 2: Auto Insurance Rates Based on Neighbor Data
A 2025 investigation by the Consumer Federation of America found that some auto insurers use "neighborhood risk profiles" built from data broker information. If your neighbors file more claims, have lower credit scores, or live in an area with higher crime — your rates can increase, even if your personal driving record is perfect.
Case Study 3: Grocery Store Purchases Affect Health Premiums
A pilot program discovered by privacy researchers in 2024 showed that a major health insurer was using grocery loyalty card data (purchased from a data broker) to identify members who bought high-sugar or high-fat foods. These members were then flagged for "wellness program intervention" — or saw their premiums increase under employer-sponsored plans.
Is This Legal? The Regulatory Landscape
What's Allowed
In most US states, insurers CAN legally purchase data broker information and use it in underwriting decisions — provided they have a permissible purpose under the Fair Credit Reporting Act (FCRA) or applicable state law.
The key legal frameworks:
| Law | What It Covers | What It Doesn't |
|---|---|---|
| Fair Credit Reporting Act (FCRA) | Regulates "consumer reporting agencies" — requires accuracy, dispute rights, and adverse action notices | Many data brokers claim they're NOT consumer reporting agencies. If the data is used for "marketing" rather than "underwriting," FCRA doesn't apply |
| Health Insurance Portability and Accountability Act (HIPAA) | Protects medical records from healthcare providers, insurers, and clearinghouses | Does NOT cover data collected from non-medical sources like grocery purchases, fitness trackers, or social media |
| State insurance regulations | Vary by state — some restrict certain data uses | Most states have weak or no restrictions on data broker information |
| California Consumer Privacy Act (CCPA) | Gives residents the right to know what data is collected and request deletion | Only applies to residents of one state. Doesn't prevent collection — it's reactive |
| Genetic Information Nondiscrimination Act (GINA) | Prevents insurers from using genetic data for underwriting | Doesn't cover family medical history obtained from non-genetic sources |
What's Restricted
Some states have started to push back:
- California — The Delete Act (SB 362/1125) gives residents the right to delete their data from 665+ registered data brokers, including insurance-focused brokers
- Massachusetts — The 2026 location privacy bill bans the sale of precise location data, which insurers use for commute and lifestyle analysis
- Vermont — First state to require data broker registration, creating some transparency
- Washington — My Health My Data Act restricts health-related data collection, even outside HIPAA
Deep dive: 2026 Data Privacy Laws: What Changed and What's Coming →
But for the vast majority of Americans in most states, there is no law preventing insurers from using data broker information to set your rates.
How Data Brokers Get Your Insurance-Relevant Data
Understanding the collection pipeline helps you see where to cut it off.
Source 1: Public Records
Your property records, court filings, marriage licenses, and voter registration are all public. Data brokers scrape them automatically and sell them to insurers for property and identity verification.
Source 2: Loyalty Programs
Every time you scan a grocery store loyalty card, the store's data broker partner logs your purchases. Over a year, that's 300+ purchase records — enough to build a detailed profile of your diet, health habits, and lifestyle.
Source 3: Mobile Apps
Apps request access to your location, contacts, photos, and health data far beyond what they need. This data is resold through SDKs embedded in the app code. A 2025 study found that 73% of free Android apps share data with third parties that includes identifiers trackable to individuals.
Source 4: Connected Devices
Your car, fitness tracker, smart home devices, and even your smart TV generate data that ends up with brokers. Connected cars alone are expected to generate $750 million in data revenue by 2027 — much of it sold to insurance companies.
Source 5: Social Media
Public social media profiles are scraped for personality analysis, lifestyle signals, and relationship data. Even private posts can sometimes be accessed through app permissions and third-party integrations.
Source 6: Data Breaches
When a company gets hacked, your data ends up on the dark web — and then in data broker databases. A breach-exposed email address or password can be cross-referenced with other data to build a more complete (and valuable) insurance risk profile.
Related: What to Do After a Data Breach: The Complete Step-by-Step Recovery Guide →
The Cost: How Much More Are You Paying?
Quantifying exactly how much data broker information increases your insurance premiums is difficult — insurers don't disclose their proprietary underwriting models. But available data points to significant impacts:
| Insurance Type | Estimated Premium Impact | Source |
|---|---|---|
| Life insurance | 20-50% higher for "data-flagged risk" profiles | Consumer Federation of America, 2025 |
| Auto insurance | $100-$400/year more in "high-risk" neighborhoods | NAIC consumer complaint analysis |
| Health insurance | 5-15% employer premium variation based on lifestyle data | Kaiser Family Foundation employer survey |
| Homeowners insurance | 10-25% variation based on property data profiles | Insurance Information Institute |
The total cost? A 2026 study estimated that the average American household pays $340-$780 more per year across all insurance types due to data broker-influenced pricing.
How to Stop Data Brokers From Affecting Your Insurance Rates
Step 1: Remove Your Data from Data Broker Sites
This is the single most effective step you can take. When data brokers don't have your information, they can't sell it to insurance companies. The challenge is scale — there are 237+ data broker databases that may hold your information, and removing yourself manually from each one takes 50-100 hours.
Services like CyberForget automate the entire process:
- Scan — CyberForget checks 237+ data broker databases in under 60 seconds to find where your information is listed
- Remove — It submits verified opt-out requests to every broker that has your data
- Monitor — It continuously re-scans and re-removes your data as brokers refresh their databases
The result: your personal information — including the data points insurers buy — is removed from the data broker ecosystem.
Start your free scan → cyberforget.com/scanning
Step 2: Opt Out of Data Sharing at the Source
Reduce the amount of data brokers can collect in the first place:
- Grocery loyalty programs — Use a separate email or phone number. Don't scan your card if you don't need the discount.
- Connected car data — Check your car's privacy settings. Many automakers allow you to opt out of data collection (though some bury the setting).
- Smart home devices — Turn off data sharing in your smart speaker, thermostat, and security camera settings.
- Fitness trackers and health apps — Review app permissions. Revoke access for any app that doesn't need your data to function.
Step 3: Lock Down Your Digital Footprint
| Action | Impact | Time |
|---|---|---|
| Use a VPN to mask IP and location | Prevents location-based profiling | 5 min setup |
| Disable mobile advertising ID | Stops cross-app tracking | 2 min |
| Use privacy-focused browser (Brave, Firefox) | Blocks tracking cookies | Instant |
| Review app permissions monthly | Limits data collection at source | 10 min |
| Use temporary emails for signups | Prevents email-based profiling | Instant |
Step 4: Exercise Your Legal Rights
If you live in California, submit a deletion request through the CPPA's centralized data broker portal. This sends opt-out requests to all 665+ registered data brokers in the state simultaneously.
If you live in Virginia, Colorado, Connecticut, Massachusetts, or another state with privacy laws, use your state's deletion rights to demand that insurers and data brokers delete your information.
Related: California Just Made Deleting Your Data From 665+ Data Brokers a One-Click Process →
Step 5: Ask Your Insurer What Data They Use
Under the Fair Credit Reporting Act, you have the right to know if an insurer took "adverse action" (denied coverage, charged a higher rate) based on information from a consumer reporting agency. Request an adverse action notice and ask which data sources were used.
You can also request your LexisNexis Consumer Disclosure Report and Milliman IntelliScript report — two of the most common insurance data broker reports. These are free once per year under FCRA.
How CyberForget Helps Protect Your Insurance Rates
CyberForget was built to solve exactly this problem. By automatically removing your personal information from 200+ data broker sites and continuously monitoring for re-appearance, CyberForget helps ensure that insurers can't buy a comprehensive profile of your personal data.
What CyberForget removes:
- Your address history and location data
- Phone numbers and email addresses
- Family member connections
- Purchase history signals
- Online activity profiles
- Property and asset records
- Court and legal records
What that means for your insurance rates:
- Life insurers can't find your social media activity or purchase history
- Auto insurers can't buy neighborhood risk profiles connected to your address
- Health insurers can't access your fitness tracker or grocery purchase data
- All insurers face higher friction in building a risk profile on you
Start your free scan → See which data brokers have your information right now — for free, no credit card required.
Frequently Asked Questions
Can data brokers really affect my insurance rates?
Yes. Data brokers sell consumer profiles to insurance companies, which use them in algorithmic underwriting models. These models can raise your rates, deny coverage, or flag you for "wellness interventions" based on data you never knowingly shared.
Is it legal for insurers to buy data broker information?
In most US states, yes. The Fair Credit Reporting Act (FCRA) provides some protections, but many data brokers operate outside its scope by claiming they're not "consumer reporting agencies." State privacy laws like California's CCPA and the Massachusetts location privacy bill are beginning to change this, but the federal landscape remains largely unregulated.
How do I find out what data brokers have sold to my insurance company?
Request an adverse action notice from your insurer if you've been denied or charged higher rates. You can also request a free annual report from major insurance data brokers like LexisNexis Risk Solutions and Milliman IntelliScript.
Will removing my data from data brokers lower my insurance rates?
Removing your data prevents insurers from accessing the additional data points that data brokers sell. Your rates will continue to be based on traditional factors (driving record, credit score, age, etc.), but they won't include the behavioral and lifestyle data that data brokers have been selling.
How often do I need to remove my data from data brokers?
Data brokers refresh their databases from public records and new sources every 30-90 days. A one-time opt-out isn't enough — you need continuous monitoring and re-removal. Services like CyberForget automate this ongoing process.
Does the California Delete Act protect my data from insurance companies?
California's Delete Act (SB 362/1125) gives residents the right to delete their data from 665+ registered data brokers. If a data broker is registered in California and sells insurance data, you can request deletion. However, the law doesn't prevent brokers from re-collecting your data from public records.
Can I opt out of my insurance company buying data?
Not directly — insurers don't typically offer an opt-out for their underwriting data sources. However, you can remove the data at the source by opting out of data brokers, which limits what insurers can purchase.
What's the difference between credit-based insurance scoring and data broker profiling?
Credit-based insurance scoring uses your credit report (regulated by FCRA) to predict claims risk. Data broker profiling uses thousands of non-credit data points (purchase history, social media, location data, fitness data) that are largely unregulated. Both can affect your rates, but data broker profiling is far less transparent.
Bottom Line: Data Brokers Are Costing You Money
The insurance industry spends over $8 billion annually on data broker information — and that cost is passed directly to you through higher premiums, denied coverage, and discriminatory risk scoring. The system is designed to be invisible: you'll never receive a notice saying "your rates were increased because a data broker sold us your grocery store purchases."
The only effective protection is to remove your data from the broker ecosystem — and keep it out.
Here's your action plan:
- Today: Run a free data broker scan to see which sites have your information
- This week: Start removal — manual or automated
- Monthly: Re-scan to catch new data collection
- Quarterly: Review app permissions and privacy settings
Your insurance rates shouldn't be determined by data you never agreed to share. Take control of your personal information — and stop data brokers from profiting at your expense.
Updated: July 22, 2026. This article is for informational purposes and does not constitute insurance or legal advice. Laws and regulations vary by state; consult a qualified professional for advice specific to your situation.
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