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🛡️ Case study · Finance

How Insurance prices you

Insurance was personalizing prices decades before the word algorithmic pricing existed. The modern version is more aggressive than the old one, drawing on credit scores, driving behavior, education, occupation, and increasingly telematics data collected from the car itself. One quiet consequence is the loyalty penalty, where long-term customers often end up paying more than new ones for reasons that rarely get disclosed.

Typical markup
2-11%
Loyalty penalty / year
Top signal
Credit
Based scoring
Disclosure
Varies
By state

How it works

The mechanics underneath
your premium price.

Insurers build a risk profile for every new policyholder that goes far beyond the things people would guess. Auto insurance in most states uses a credit-based insurance score, which is similar to a normal credit score but weighted differently. Homeowners, renters, and life insurance pull on a parallel scoring system. The argument is that credit-based scores correlate with loss risk, and the data does support that correlation. The concern is that credit scores also correlate with race and class, which loops back to proxy discrimination.

On top of the risk score, insurers layer a separate demand-modeling system. This is where the loyalty penalty lives. The system tries to predict how likely you are to shop around and leave. Customers who haven’t shopped in five years get modeled as less price-sensitive, and their rates quietly creep up each renewal even when nothing on their driving record has changed. The practice was exposed in detail by the New York Department of Financial Services in 2018 and has faced multiple state-level inquiries since.

Telematics is the newest frontier. Progressive’s Snapshot, State Farm’s Drive Safe, Allstate’s Drivewise, and several others pay you to install a plugin or a phone app that watches how you drive. Braking, acceleration, time of day, phone use, and mileage all go into a driver score that can move your premium up or down. The pitch is safer drivers save money. The flip side is that the data lives with the insurer indefinitely, and the scoring is proprietary.

The signals

What they’re actually reading
about you.

Weights are approximate and based on published research, regulatory filings, and reverse-engineering studies. Sources are cited in full on the Sources page.

💳 Credit-based insurance score
+28%

The single largest factor in most states. Weighted differently from a standard credit score, pulled from the same bureaus.

🚗 Driving record
+20%

Violations, accidents, and claims history drive the traditional risk portion of the score. Older infractions decay slowly.

📡 Telematics behavior
+14%

If you opted into a tracking program, braking, acceleration, nighttime driving, and phone handling all shift your premium. These programs are marketed as optional and increasingly become default on new policies.

🎓 Education and occupation
+10%

Still allowed as a rating factor in most states. Some states have banned or are in the process of banning it on fairness grounds.

📍 ZIP code
+14%

Garaging location. Historical loss ratios in your ZIP feed your rate. This is the most criticized signal for proxying race and income.

👥 Marital and household status
+6%

Married policyholders often see lower rates than single ones on auto insurance, independent of driving record.

⏱️ Tenure with insurer
+6%

The loyalty signal. Long-tenured customers get modeled as less price-sensitive, which can quietly inflate renewal rates.

📦 Bundling status
+2%

Bundling home with auto typically earns a visible discount. The discount is real but smaller than most bundling ads suggest.

Real example

Auto insurance renewal after five loyal years

A 2021 Consumer Federation of America study tracked 800 US auto policies over five years. Among policyholders who did not shop their rate, premiums rose an average of 8.2 percent a year with no change in driving record, no claims filed, and no change in vehicle. The same insurers, quoted as new business to identical driver profiles, consistently offered rates more than 19 percent lower than what their existing customers were paying.

Low end
$142.00
High end
$168.97
+19.0%

What you can do

Ways to push back
that actually work.

None of these are silver bullets, but together they can shift the signals enough to meaningfully change the number you see.

01

Shop every year or two

The single most effective defense against the loyalty penalty. Run your exact same driver profile through three competitors every 12 to 24 months. You will almost always find a lower number somewhere.

02

Keep your credit clean

Credit-based insurance scores are the single largest rating factor in most states. Any improvement in your regular credit score flows into your insurance score over time.

03

Bundle carefully

Bundling home and auto with one insurer can save real money, but the savings shrink the longer you stay. Rebuild the bundle with whichever company has the best combined quote, not necessarily the one you’ve had for years.

04

Think twice about telematics

Programs like Snapshot and Drivewise can save money if you drive mostly in daylight and mostly moderately. If you drive late or in stop-and-go traffic, they can raise your premium. Always ask if the opt-in is reversible.

Try it yourself

Watch a premium price get built for you.

The simulator uses the same factor weights shown above. Change any signal and watch the price move.

Launch the Simulator

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