AI and software for automotive.
Sales and service records joined with vehicle history, to bring past customers back for service and their next car.
- Customer data
- Vehicle history
- Direct mail
Sound familiar?
Where the time goes.
An automotive business already knows who bought from it and who it has serviced. We join those records with vehicle history data to find the customers who are due, or about to be, and bring them back in with direct marketing timed to their car.
Customers who drift away
They bought here, serviced here once, and then went somewhere else.
Records nobody mines
Years of sales and service history sit in the sales and service systems, unused.
Mail that misses
Offers go to everyone at once, instead of to the people whose car is due.
Example: an automotive business's service and sales records are joined with a vehicle history report into one matched customer, who is due for a service and likely to return. A mailer timed to the car goes out, and the customer books a service appointment. Fictional data.
Use cases
What we would build for you.
- Data
Due for service
- The situation
- Customers who bought a car from you drift to other shops for service, and the records that could bring them back sit unused.
- What we build
- Sales and service history joined with vehicle data to predict who is due, and when, for mail and email timed to each car.
The moment A mailer arrives the month the customer's car reaches 60,000 miles.
- Automation
The showroom-ready score
- The situation
- Online listings with missing photos, wrong options or a vague description sit on the lot longer, and nobody knows which ones.
- What we build
- A daily score for every listing, with what is missing and a drafted fix for the merchandising team.
The moment The car that sat for 40 days had no photo of its interior.
- Marketing & PR
The road trip
- The situation
- A buyer's path runs through search, listing sites, ads and a test drive, but credit for the sale usually goes to the last stop.
- What we build
- Attribution that follows the whole trip, so marketing spend goes to the stops that actually bring buyers in.
The moment The listing site that looked expensive turns out to start most of the trips.
How it works
How past customers come back in.
- 01Bring your records togetherSales and service history from your systems, cleaned up so each customer and each car appears once.
- 02Add outside dataVehicle history and other licensed data added, so you can see mileage, age and when each car is likely due.
- 03Pick who to reachCustomers scored by how likely they are to come back for service or their next car, and when.
- 04Reach them, then measureMail and email timed to each car, with every visit and sale traced back to the message that brought it.
Common questions
What people ask us first.
- What data do we need?
- Your sales and service records. We add licensed outside data, such as vehicle history, where it helps.
- Is this only direct mail?
- No. Mail is often the strongest channel, but the same lists can drive email, text and ads.
- How do we know it worked?
- Every customer reached is tracked through to service visits and sales, compared with customers who were not reached.
How we work
Tell us what is slowing your team down.
A free discovery call, then a written recommendation with one agreed price. A deposit to start, and the rest when it does the job.