Predictive campaigns
from your store data

GRIP finds buyers whose equity, timing and activity make a campaign worth running now.


Campaigns start with buying power

The best list is not the biggest list. The best list is the group of customers with a reason to act.

GRIP models equity, lease timing, service history, garage data and recent conversion patterns before a campaign reaches a send button.


Segment tests

Campaign segments are checked for timing, buying power and store relevance before a recommendation appears.

Message evals

Messages are tested against intent, compliance and dealership tone before they reach customers.

Approval path

The campaign recommendation moves through a human approval step unless the store has approved a rule.


From signal to send

GRIP turns live store data into a campaign recommendation your GM can approve, adjust or hold.

Modeled from your store

The campaign is built from the customers, inventory and conversion patterns inside the dealership.

Ranked by buying power

Every customer is scored before the campaign is recommended.

Approved before send

The recommendation goes to the right person before the campaign runs.


FAQ

How does GRIP choose a campaign?

GRIP scores store data for equity, timing, service history, garage context and recent conversions, then recommends the segment worth running.

Do campaigns send automatically?

Not by default. GRIP recommends the campaign, and your GM or marketing director approves the send.

What makes predictive campaigns different from a normal email blast?

A normal blast starts with a broad list. GRIP starts with buying power, timing and customer context.

Where do predictive campaigns run?

Predictive campaigns run inside Campaign Lab, where the segment, message and attribution stay together.

Turn buying power
into motion