Using Technology to Price Auto Insurance

Technology has changed the way auto insurers can judge driving risk. Instead of relying only on information such as a driver’s record, annual mileage estimate, vehicle, location and claims history, some insurers now offer programs that measure how a vehicle is actually being driven and use that information as part of the premium calculation.

These programs are commonly called usage-based insurance, or UBI, and the technology behind them is usually referred to as telematics. The basic idea is simple, but the financial consequences are not: a driver may receive a lower price for behavior the insurer associates with lower claim risk, while another driver may receive less of a discount or, in some programs and states, a higher rate. Understanding what is collected and how it can affect the policy matters more than the device or app doing the collecting.

Technology changes the risk information, not the purpose of insurance

Traditional auto insurance pricing is already highly individualized. Insurers consider a mixture of rating variables that can include driving history, claims, vehicle characteristics, where the vehicle is garaged, estimated use, selected coverage limits and deductibles, and other factors permitted by state law. Telematics adds a more immediate stream of information about vehicle use and driving behavior rather than replacing all of those established variables.

The distinction matters because a telematics program is not a separate form of protection. Liability, collision, comprehensive, personal injury protection, uninsured motorist coverage and other policy components still determine what losses the contract covers. Technology is being used mainly to refine underwriting and rating, so the main focus of auto insurance remains transferring defined financial risks that a driver does not want to bear alone.

For insurers, better information can improve the separation of different types of risk. A person who reports driving 8,000 miles a year may pose a different exposure from someone who actually drives 16,000 miles, while two drivers with identical annual mileage can still have very different patterns of nighttime driving, braking or acceleration. Telematics attempts to capture some of those differences directly, although the quality of the result depends on the data collected, the model used and the regulatory rules in the state where the policy is written.

How telematics collects driving data

Early usage-based programs often relied on a small device plugged into a vehicle’s diagnostic port. Those devices are still used in some programs, but insurers can now collect similar information through smartphone apps or technology already integrated into newer vehicles. The National Association of Insurance Commissioners describes UBI as tracking driving behavior through installed vehicle devices or smartphones and notes that the information can include mileage, time of day, location, rapid acceleration, hard braking, hard cornering, phone use and airbag deployment, depending on the technology and program.^[1]

A smartphone-based program can be cheaper and easier to deploy because the policyholder does not need dedicated hardware. The phone’s sensors and location services can estimate movement, speed changes and trip patterns, while software attempts to distinguish driving from other forms of travel. That convenience introduces its own questions, including whether the app correctly identifies who was driving, whether a passenger’s phone use is misclassified as distracted driving, and what happens when location permissions are disabled.

Vehicle-integrated systems create another path. Newer cars can generate large amounts of operating data through connected services, and a manufacturer or technology provider may be able to transmit selected information without a separate plug-in device. The existence of that capability does not mean the data is automatically being used by an insurer, which is why enrollment terms, consent screens and data-sharing disclosures deserve attention before a driver assumes that a connected vehicle and an insurance telematics program are the same thing.

What insurers measure and what the signals mean

Mileage is among the easiest variables to understand. More time on the road generally creates more opportunities for a collision or other claim, so a driver covering relatively few miles may fit well with a mileage-sensitive pricing model. Some products lean heavily on this exposure measure and are described as pay-as-you-drive or distance-based insurance, while others combine mileage with behavioral measurements.

Behavioral programs may examine hard braking, rapid acceleration, cornering, speed patterns, time of day and trip duration. These measurements are not moral judgments about whether a driver is “good” or “bad”; they are inputs into an insurer’s attempt to estimate future loss. Repeated hard braking, for example, may be associated with driving conditions or behavior that the model treats as higher risk, but a single event can have an innocent explanation such as avoiding another vehicle or responding to a traffic signal.

Context is one of the limitations of raw driving data. A driver in dense urban traffic may brake and accelerate more often than someone on an open rural road, and a hospital worker may drive late at night because of a work schedule rather than because of recreational risk-taking. More sophisticated models can incorporate additional context, but consumers rarely see every detail of the scoring formula, and the significance of a particular event varies by insurer and program.

Location can be especially sensitive because it can reveal much more than insurance exposure. GPS data may help identify where and when trips occur, but it can also disclose repeated visits to workplaces, homes, medical facilities or other private locations. A program that collects precise location therefore raises a different privacy question from one that uses only aggregate mileage or a small set of driving events.

How telematics can change the price you pay

There is no universal telematics discount. Some programs provide an enrollment discount and later adjust the amount based on measured driving, while others price coverage more directly from mileage or behavior. The NAIC warns consumers that UBI can affect premiums in either direction and advises drivers to understand exactly what data is collected and how it is used before enrolling.

That makes the program rules more important than the advertised maximum savings. A driver should distinguish between a guaranteed participation discount, a variable discount that can shrink, and a rating plan that permits an actual surcharge or higher renewal premium. The same driving pattern can also be treated differently by competing insurance companies because their filed models, risk tolerances and rating structures are not identical.

Telematics also does not freeze the rest of the premium. A policyholder can earn a favorable driving score and still face a higher renewal price because repair costs, bodily injury losses, local claim trends, vehicle changes or other rating factors moved in the wrong direction. Conversely, a general rate increase does not necessarily mean the telematics program penalized the driver, so renewal documents should be read carefully rather than attributing every price change to the app.

New York’s Department of Financial Services illustrates the state-specific nature of these programs. It notes that some insurers offer discounts based on telematics or UBI data such as mileage, time of day, acceleration, braking patterns and GPS location, while also emphasizing that the final auto premium depends on many separate factors that vary among insurers.^[2] Other states can permit different structures, including programs in which unfavorable telematics results can increase the premium.

Who may benefit from usage-based pricing

Low-mileage drivers are the most intuitive candidates for usage-based pricing because traditional rating methods often estimate mileage rather than continuously measuring it. Someone who works from home, uses public transportation for most commuting or keeps a second vehicle that is driven infrequently may be able to demonstrate lower exposure more directly. The actual savings still depend on the insurer’s formula and the other characteristics of the policy.

Drivers with smooth, predictable habits may also find behavioral telematics attractive if the program rewards the patterns they already have. A person does not need to become an unnaturally cautious driver merely to satisfy an app, and doing so can be counterproductive if attention shifts from traffic conditions to maintaining a score. The better use of feedback is to identify recurring habits, such as unnecessary hard acceleration or frequent phone interaction, that are both measurable and realistically changeable.

Other drivers may discover that the model fits them poorly even when their accident record is clean. Regular nighttime work, long commutes, stop-and-go urban driving or a vehicle shared among household members can produce data that looks different from the pattern most rewarded by a particular program. The decision should therefore be based on the actual scoring factors rather than on confidence that being a careful driver will automatically produce the largest discount.

A trial period can be useful when the insurer clearly explains what happens afterward. The important questions are whether a low score can raise the premium, whether leaving the program affects an enrollment discount, how much data is required before a score is considered valid, and whether the policyholder can see enough detail to understand the result. A voluntary program is most useful when the consumer knows the downside as clearly as the potential savings.

Privacy and consent are part of the financial decision

Telematics turns driving behavior into personal data, and that creates a trade-off that does not exist in the same form with a conventional rating plan. A driver may receive a more individualized premium in exchange for allowing an insurer, app provider or other party to collect information about vehicle use. The financial value of a discount should therefore be weighed against the scope of the data collection and the rules governing storage, sharing and deletion.

The privacy issue became concrete in a 2026 Federal Trade Commission action involving General Motors and OnStar. The FTC finalized an order settling allegations that the companies collected, used and sold precise geolocation and driving-behavior data without adequate notice and affirmative consent; the agency stated that the information had been provided to consumer reporting agencies, and that such data had been used in insurance decisions. The final order imposes consent, access, deletion and opt-out requirements and bars disclosure of covered data to consumer reporting agencies for five years.^[3]

That case does not mean every telematics program shares data in the same way. It does show why a driver should identify who is collecting the information, who receives it and whether the data is being gathered through an insurance program, a vehicle manufacturer’s connected-car service, a third-party app or some combination of them. Consent to one service should not be assumed to explain every downstream use unless the disclosure actually says so.

Privacy policies can be lengthy, but a few distinctions are financially important. A driver should know whether precise location is collected, whether trip-level data is retained, whether the information is shared with affiliates or outside data companies, how long it is kept and whether opting out later changes the insurance rate. If the answers are unclear, the potential premium reduction is difficult to evaluate because part of the cost is being paid in data rather than dollars.

Telematics does not eliminate traditional rating factors

One of the older promises surrounding telematics was that direct observation of driving would eventually replace broad statistical classifications. In practice, usage-based data usually supplements traditional rating rather than wiping it away. Insurers still need to price the vehicle being insured, the coverage being purchased, the geographic exposure, the driver’s history and other legally permitted characteristics that affect expected claim costs.

State regulation also places boundaries around what can be used. Auto insurance is regulated primarily at the state level, and insurers generally must follow the applicable rate-filing and rating-factor rules in each jurisdiction. A telematics model that is allowed in one state may need to be modified in another, and a factor that appears in one insurer’s program may be absent from a competitor’s offering.

The result is that technology makes pricing more granular without making it perfectly individualized. An insurer is still estimating future losses from a model built on groups of prior observations, even when the model contains thousands of data points from one driver. More data can improve prediction, but it does not eliminate uncertainty, measurement error or the need to interpret events in context.

Drivers should also separate telematics from advanced vehicle safety technology. Automatic emergency braking, lane-keeping assistance and other safety features can affect insurance pricing or discounts in some markets, but they are not the same as a program that monitors the policyholder’s behavior. One technology changes how the vehicle operates; the other produces information that may be used to classify risk.

How to evaluate a telematics program before enrolling

The most important document is the program description that explains how participation changes the premium. Before enrolling, determine whether the telematics result can only produce a discount, can remove an initial discount, or can directly increase the rate. Marketing often emphasizes the best possible savings, while the policyholder’s real exposure depends on the full range of outcomes.

Next, identify the measurements that actually count. A program focused mainly on mileage creates a different decision from one that scores braking, acceleration, nighttime driving, speed and phone interaction. If the insurer cannot explain the major rating inputs in understandable terms, it becomes difficult to know whether the program fits the way the vehicle is used.

Phone-based monitoring deserves extra scrutiny in multi-driver households. The app should have a practical way to correct trips when the policyholder was a passenger, rode in another vehicle or used another form of transportation. A scoring system that relies on inaccurate trip classification can produce a result that says more about the software than the insured driver, so access to trip history and a correction process can be valuable.

Data rights belong in the same review. Check whether you can view the collected information, how long it remains available, whether it can be deleted, and what happens to historical data after you leave the program. If the telematics service is connected to a manufacturer account or another third party, review that service separately rather than assuming the insurer’s privacy disclosure controls every participant in the data chain.

Finally, compare the resulting policy with non-telematics alternatives. A strong discount is not necessarily a good deal if the insurer’s underlying price is much higher, and a modest discount can still be worthwhile if the total premium and coverage are competitive. Shopping should be based on equivalent limits, deductibles and optional coverages, not on the percentage discount displayed by the telematics program.

Technology can make auto insurance pricing more responsive to how a vehicle is actually used, which is a meaningful improvement over relying entirely on estimates and historical classifications. It also asks the driver to accept monitoring and a scoring model that may not interpret every trip perfectly, so the sensible choice is not simply to opt in or opt out. The better decision is to understand the data, the pricing rules and the privacy terms, then judge whether the likely savings are worth the information being exchanged.