Capability

Automotive customer identity resolution

Identity resolution connects fragmented person, household, vehicle and business records under explicit match and survivorship rules.

Identity resolution decides which records belong to the same person. In a dealership, one buyer may appear as a CRM lead, a DMS customer, a service visitor, a website visitor and a marketplace inquiry.

Each has a slightly different name, a different email, or a phone number typed twice. A system links them under explicit match rules.

0 direct answers3 related market mapsSeptember 1, 2026 reviewed

Direct answer

Automotive customer identity resolution

The first thing to ask is how it matches. Some links are deterministic, such as the same email, phone or VIN.

Others are probabilistic, such as similar name and address. Ask which rules apply, how confident each link must be, and how a person can see why two records were joined.

Insist on the ability to split a wrong merge.

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What to check before you decide

Ask how it treats households and businesses. A couple may share a phone number.

A fleet buyer is one company with many drivers. A system that collapses them wrongly will send the wrong message to the wrong person.

Consent travels with the person. If one record has opted out, the unified profile must honor it everywhere.

Ask how consent and deletion requests flow to every connected tool. Some state privacy laws give customers rights to access and delete data, and a unified profile makes those requests easier or harder depending on the design.

Ask about accuracy in numbers. Request the false-match rate and the missed-match rate on a sample of your own data, checked by hand. A vendor's global figure does not describe your records.

Finally, ask what it costs to leave. You should be able to export the unified profile with the links and the reasons, not only the final list.

Test with a hundred known customers, and see what the system finds.

Start with a small, high-value use such as finding duplicate records among customers who purchased in the last two years, review every proposed merge by hand for the first few hundred, and measure how many were right, because the confidence you build from that sample, and the rules you refine from the mistakes, is worth more than any vendor's description of its matching method.

Ask how the system treats a customer who changes a phone number or moves, since a stable person record that survives those changes is what makes service reminders and equity offers reach the right household years later.

Dealer-controlled evaluation