Every service business owns a goldmine it mines with a teaspoon: the installed base. The vehicle sold three years ago needs a service this month. The genset under AMC is due its quarterly visit. The warranty expiring in ninety days is an extended-warranty sale waiting to be made. None of this is a mystery — the dates are arithmetic — and yet in most operations, "service marketing" means a back-office person with a spreadsheet, a phone, and a target of forty calls a day.
Why the teaspoon persists
The arithmetic is easy but the data is scattered. The sale lives in a billing system, the warranty in a register, the maintenance schedule in the OEM's manual, the customer's phone number in three places with two variants. Assembling this month's due-list means joining systems that were never introduced to each other — so it happens monthly, partially, and the list is stale before the calls begin.
The three generators
When the sale, the contract and the schedule live on one platform, three generators can run:
- Contracts. Service contracts — warranty, free-service packages, AMCs — are created automatically when the contract item is invoiced, attached to the asset with validity and scope. Contracts falling due within a reminder horizon generate reminder leads: one per asset, with the coverage and the customer attached.
- Schedules. Maintenance schedules fire by days, usage hours or meter readings, in sequence — first service, second service, the 40,000 major. Each asset's next due service is computed from its own readings, captured on previous jobs.
- Campaigns. Service campaigns sweep the installed base — a serial range, a model, a region — and create the wave of leads and jobs for everything matching.
The output is not a report. It is leads — records in the advisor's queue with the vehicle, contract, due context and phone number already on them, each one bookable into a capacity-backed appointment in the same motion.
What changes when the lead writes itself
Three things, in order of visibility. First, coverage: no vehicle falls through because a spreadsheet row was missed — the generator does not get bored. Second, timing: reminder offsets mean outreach starts before the due date, while the customer still intends to come to you rather than the corner workshop. Third, measurability: generated leads have conversion rates — by campaign, by model, by advisor — so service marketing becomes a funnel you can manage instead of an activity you can only exhort.
The honest footnote
The generation is deterministic — dates, readings and horizons, not model guesses. That is a feature: a due-list must be complete and explainable, and "the AI thought this customer seemed due" is neither. Where AI earns its place is delivery and drafting — ranking the queue, drafting the outreach, answering "which of these are also carrying an open complaint?" — with a human approving anything that goes out. The lead writes itself; the relationship still belongs to people.
See it in the product: service contracts and auto service leads, and the rollout playbook: rolling out auto-generated service leads.