The group was mailing trade-in and conquest offers to customers who had already bought three vehicles from it. One customer view across twelve rooftops ended the waste and showed Ancira who its loyal buyers really were.
INDUSTRY
Automotive retail (franchised dealership group)
BUSINESS PROFILE
12 dealerships · San Antonio & South Texas · 700+ employees · Family-owned since 1972
Ancira Auto Group is a family-owned franchised dealership group founded in San Antonio, Texas, in 1972. Across twelve rooftops in San Antonio, Boerne, Eagle Pass, Floresville, and Alvarado, the group sells and services thirteen vehicle brands with more than 700 employees. It was among the first Hispanic-owned dealership groups in the United States and remains in the founding family's hands today.
Ancira Auto Group spent more than fifteen million dollars a year inviting people to become its customers. A meaningful share of that budget reached people who already were.
The group had grown by acquisition since 1972, and its rooftops did not all run on the same dealer management system. Two DMS platforms, a separate CRM the sales teams worked in, and a service-scheduling tool each kept their own version of the customer, each under its own ID. A household that bought a truck at one store, leased a car at another, and serviced both was four different customers to Ancira's data.
The marketing cost was the most visible. Conquest campaigns built to win new buyers went out to households that had already purchased three vehicles from Ancira, and the same person often received the same mailer twice under slightly different names. Loyalty offers that should have rewarded the group's best customers never reached them, because no single record showed they were the best customers.
The service blind spot cost more, though it was harder to see. The group could not reliably tell which buyers had stopped servicing with it, because a customer who bought at one rooftop and serviced at another looked like two unrelated people. High-margin service and parts revenue walked out the door without anyone noticing a customer had gone quiet.
The problem reached the manufacturers, too. One of the group's brands measured customer retention through a loyalty scorecard that drove co-op marketing dollars, and Ancira's reported retention had slipped for two straight quarters. When Ray Sandoval, the group's Director of Marketing and Customer Retention, pulled the list of so-called defectors, many of them had not defected at all.
They had simply bought their next vehicle at a sibling Ancira rooftop, under a new customer ID, and the scorecard counted them as lost. A data problem the group had lived with for years had become a budget problem with a deadline.
Ancira did not set out to buy a data-matching platform. It set out to answer a question both of its software vendors kept calling impossible: across all twelve rooftops, who is the same customer?
Each of the group's two DMS vendors offered a customer-360 add-on, and each could see only the rooftops running on its own platform. Neither reached the CRM or the service-scheduling tool. Ancira ran MatchLogic head-to-head against both DMS-native options on its own data, and only MatchLogic treated the customer, rather than the rooftop, as the thing being matched.
The group licensed MatchLogic on the Server tier and used the Workflow Scheduler to refresh a unified customer master every night, feeding it back into the CRM and the marketing platform. Five capabilities decided the choice.
MatchLogic sat above all four sources, the two DMS platforms, the CRM, and the service scheduler, and matched customers across them rather than within each one.
Anchored by Jaro-Winkler distance and phonetic encoding, the engine absorbed thirteen years of misspellings, abbreviations, and the accented and maternal-surname variants common across South Texas without falsely linking different people.
Using cross-column matching and its own rule definitions, the marketing team rolled individuals into households at a shared address while keeping unrelated co-residents apart, so a campaign reached a family once rather than four times.
High-confidence matches on a shared phone or email plus a strong name link merged automatically, middling matches queued for review, and the rest waited for batch review, because wrongly merging two real customers was a worse outcome than missing a link.
The platform ran on a server inside Ancira's own network, which under the FTC Safeguards Rule for auto dealers kept sensitive customer data out of a new cloud vendor review.
A dealership never really closes, so nothing could touch the live systems. Everything ran against nightly exports from the two DMS platforms, the CRM, and the service tool, with the unified master written to a separate table that fed reporting and campaigns.
The team worked in sequence rather than all at once. It first standardized and matched customers within each DMS platform, then across the two, then folded in the CRM and service records, and finally rolled individuals into households. The messiness was the kind only real dealership data produces: the same store phone number entered on hundreds of unrelated records by front-desk staff at signup, and a single customer's name spelled four different ways across thirteen years.
The team validated the rules against a sample of customer pairs it had checked by hand, where MatchLogic returned two false matches in a thousand-pair set. From the first export to a nightly master feeding every rooftop's campaigns, the work took about nine weeks.
3.6 million records, 460,000 households
The match drew on 3.6 million records, thirteen years of sales deals, service repair orders, and customer rows across the four systems, and resolved them into 460,000 unique customer households. The marketing master alone, the list that fed mail and email, fell from 590,000 contact records to those 460,000 households, a 22% cut. Every original record kept its link to the unified household ID, so each rooftop's own reporting kept working unchanged.
With duplicates gone and existing customers flagged, Ancira stopped mailing conquest offers to people who already bought and serviced with the group, and stopped paying to reach the same household two and three times. The recurring waste came to roughly $2.6 million a year, redirected into loyalty and service-retention campaigns aimed at customers the group could now actually identify.
Unifying the record also showed Ancira which buyers had quietly stopped coming back for service. The view surfaced about 19,000 households that had purchased a vehicle but not booked service in eighteen months or more, an estimated $4.3 million in annual service and parts revenue the group had no way to target before. A service-retention campaign now runs against that list every month.
The loyalty scorecard that started the project told a different story once customers were matched across rooftops. Repurchases that had counted as defections, because the buyer returned to a sibling store under a new ID, now resolved to the same household, and the group's reported retention rose about six points. That corrected number restored Ancira's standing in the manufacturer's co-op program.
Ancira now builds every campaign, service reminder, and loyalty offer from one customer record rather than four. The marketing team is extending the matching pipeline to the group's RV and used-vehicle operations and to the finance records that still sit in their own system. For a family business that has sold cars in South Texas since 1972, recognizing a returning customer at any rooftop is less a new capability than the way the founder ran a single store, restored at the scale of twelve.
Founded in 2003, MatchLogic has matched over 2 billion records across 4,500+ enterprise installations, powering production-scale entity resolution pipelines.
MatchLogic combines deterministic and fuzzy matching with visual profiling and drag-and-drop cleansing workflows to identify duplicates and maintain trusted golden records.
Built for fintech, healthcare, insurance, and government teams, the platform provides REST API integrations, cross-platform deployment, and full auditability across every match operation.
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