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Retention

Win back the cars
you're losing.

VIN-level lifecycle and household identity, with CLV, repeat rate, and RFM segments. See exactly who's slipping away, what it's worth, and export the win-back list to your stores.

The retention board

Who's slipping away, and what it's worth.

Switch between stores to see the service-lifecycle mix, RFM segments, repeat rate, and household CLV, with the overdue households and at-risk revenue front and center.

On-trackVIN Due-soonwindow Overdueat-risk RFMsegments
myAnalystRetentionDemo data
Worked example · Store 4410

$8,400 walking out the door.

At Store 4410, 16% of households are overdue and 9% have lapsed. That's 47 households past due, worth about $8,400 in expected revenue. Retention turns that from a gut feeling into a ranked, exportable list the store can call on Monday.

Store 4410 · Poplar
Service lifecycle
◑ 47 overdue
Overdue
16%
At-risk rev
$8.4K
Repeat rate
55%
How it works

From raw tickets to a win-back list

Retention resolves identity at two grains, scores where every customer sits, and hands your stores a list they can act on.

1

Resolve identity

Tickets are tied together at the VIN level and rolled into households, so a customer is one record, not ten.

2

Score lifecycle & RFM

Each is placed on-track, due-soon, overdue, or lapsed, and segmented by recency, frequency, and value.

3

Export the list

Due-for-service and win-back lists, ranked by CLV, export straight to the store or your marketing tool.

Two grains

VIN and household

Track the vehicle's service cadence and the household's full relationship, not just one anonymous ticket.

RFM + CLV

Know who's worth keeping

Champions, Loyal, At-risk, and Hibernating segments with lifetime value, so outreach goes where it pays.

At-risk revenue

A number, not a worry

The dollars walking out the door, quantified per store, with lists ready to export and act on.

Retention · FAQ

Common questions about retention

What are the service lifecycle stages?

Every vehicle or household is placed in one of four stages based on its service cadence: on-track, due-soon, overdue, or lapsed. The mix shows at a glance how much of a store's base is healthy versus slipping away.

What is RFM segmentation?

RFM groups households by how Recently they visited, how Frequently, and how much Monetary value they bring. myAnalyst rolls that into named segments, Champions, Loyal, At-risk, and Hibernating, so outreach can be tailored to each.

How is at-risk revenue calculated?

At-risk revenue takes the households that are overdue or lapsing and multiplies them by their expected spend, so the cost of doing nothing is a dollar figure, not a vague worry.

Can I export due-for-service lists?

Yes. Every store can export its due-for-service and win-back lists, ranked by household CLV, ready to hand to the team or push into your marketing tool.

See the revenue you're about to lose.

Book a 30-minute demo and we'll run retention on your own data: lifecycle, RFM, at-risk revenue, and a win-back list for every store.