Dealer Conquest Audience Design From Scratch

What Exactly Are You Conquesting?

Conquest marketing is easy to describe and easy to get wrong. You want to reach owners of a competing make whose current vehicle is nearing the point where they might trade it, and give them a reason to trade it with you. The hard part is the word "nearing." We would watch the timing as closely as the make, because the right make at the wrong moment can still waste spend.

Start with the competitive set, and keep it short. Pick the competing makes and models that genuinely cross-shop your inventory: same segment, similar price band, similar body style. As a rule of thumb we would start with: if you move midsize SUVs, a list of a competing make's compact-sedan owners is probably a poor fit, however cheap it is. Write the set down as make, model, and a model-year band, because that is the shape the source data takes.

Then define the renewal proxy. If your records carry no exact lease-end or loan-payoff date, you can approximate the window instead. Take the loan, lease, and warranty terms you assume for the competing make, check them against your own store's deal history, and combine them with model year to choose the model years you will test as coming off a lease, finishing a loan, or rolling past warranty.

Treat the result as a window with soft edges. If a vendor's extract does carry ownership tenure or a purchase date, ask for that field's fill rate before you lean on it.

Where Does a Conquest Audience Come From?

Two lanes feed a conquest build. The first is ownership. GSDSI's Auto and Motorcycle Data covers 201M+ U.S. vehicle ownership records with make, model, year, body style, fuel type, and linked owner demographics, refreshed monthly. Filter on your competitive set and model-year band and you have a defined population: households that own the vehicle you want to replace.

Fuel type lets you cut it further, say owners of a competing hybrid for a dealer pushing an electrified lineup. This lane is keyed on people and postal addresses, which suits direct mail, addressable media, and onboarding to ad platforms.

The second lane is behavior. A geofence drawn around a competitor's dealership, and, as a second fence to test, its service center, catches devices that show up there. A car sitting in a service lane can be one whose owner is already thinking about mileage, repair bills, or an expiring warranty. GSDSI's POI and Geofencing data covers 23M+ U.S. POIs, with polygon boundaries and brand-to-parent mapping, so you can fence a competitor's rooftop by its footprint rather than a radius around a pin.

This lane is keyed on mobile advertising IDs, which suits programmatic and mobile activation. Our guide to polygons versus radius geofencing explains why the boundary matters at a dealership, where lots, service drives, and neighbors sit close together.

Neither lane is complete alone. Ownership tells you what someone drives but nothing about whether they are shopping. A service visit hints at timing but says nothing certain about the visitor's own vehicle: that device could belong to a parts runner or a friend giving someone a ride. Use each lane to cover the other's blind spot.

How Do You Combine the Lanes Without Double-Counting?

The lanes do not share a key. Ownership records carry names and addresses, and geofence audiences carry device IDs. Combining them takes a resolution step that maps both to a household, which is the job of an identity graph. Measure that join instead of assuming it: check what share of your geofence devices resolve to a household at all, and spot-check a sample of matches before you act on them.

Once resolved, dedupe at the household level. A home that owns a competing model and also visited that make's service lane is one prospect with two signals, not two prospects. Weight it higher if you like, but count it once, cap frequency across both lanes together, and report reach in households so the plan does not quietly inflate its own size.

Keep the merge small, too. The conquest decision needs a flag ("visited a competitor service lane in the window"), not a visit history. Carry the flag forward and leave timestamps, dwell times, and device trails out of the owner record. That limits what a breach or misuse could expose.

Check your polygons as well, since a service center can sit beside a clinic or another site you should not be fencing. Our piece on the FTC sensitive-location threshold covers what to screen for. And do not assume the join is a permitted use just because each file was licensed on its own. Confirm with counsel and the license terms that linking owner records to location signal is allowed.

What Does the DPPA Gate Mean for a Conquest Build?

The ownership lane carries a legal question the geofence lane does not. Owner records drawn from state motor vehicle registrations fall under the Driver's Privacy Protection Act, and bulk marketing and solicitation uses of personal information from a motor vehicle record sit in 18 U.S.C. 2721(b)(12). That paragraph turns on express consent obtained by the State. A trade-in mailer to a competitor's owners is, plainly, a solicitation.

So before you scope the campaign, map each field in the extract back to its source class: state registration, warranty registration, or commercial partnership. Ask the vendor which 2721(b) paragraph, if any, it relies on for the registration-sourced fields, and take that map to counsel before launch rather than after.

Our walkthrough of DPPA permissible uses for auto data buyers covers the field-level source map and the attestation to request. Nothing here is legal advice, and a targeting license is not a permitted-use opinion.

How Do You Prove It Works Before You Scale?

Conquest lists look good in a spreadsheet. The real test is whether they sell cars you would not have sold anyway. Run three checks before the budget grows.

1. Suppress your own brand. Remove households that already own your make, using the same ownership file filtered on your brand, plus your CRM and service customers. Conquest money spent on your own owners is a loyalty campaign with the wrong message.
2. Suppress anyone who should not hear from you. Honor opt-outs and do-not-contact lists, drop recent purchasers from your own store, and remove any record whose permitted-use status is still unresolved.
3. Hold out a control. Randomly set aside part of the final household audience before launch, sized so the comparison can detect the lift you would need to justify the spend. Match sales from your deal records back to both groups and compare. Without a holdout you are measuring who bought, not who bought because of you.

Then read the result by lane. If the ownership lane lifts and the geofence lane does not, move budget. If households with both signals lift more, raise their weight. Rebuild the audience for each flight, because the model-year window slides forward and visit recency decays. For activation, pair the build with audience targeting so destinations, frequency caps, and suppression rules are locked before spend starts.

A conquest audience built this way is a deliberate selection, not every competing-make owner, and that is the point. It is the slice with a plausible reason to switch now and a clear path through the permission gate. To scope both lanes against your own market area, contact GSDSI for a sample.