Analytics
One set of numbers the whole store agrees on.
The analyst who builds the numbers your managers argue over, from one model everyone shares.
Sales, service, marketing and web in one model, so the meeting is about what to do rather than whose report is right.
The job today
Every vendor reports on itself and every report flatters its author. Nobody can reconcile them, so nobody trusts any of them.
Right now this job belongs to the monthly spreadsheet assembled by hand.
Model
Metrics you define, not ones you inherit
Build the measures your store actually runs on, from the data every app already writes.
- Any datapoint you track becomes a metric
- Scoped by store, location and department
- Shared definitions so nobody argues the maths
Watch
Goals with a number attached
Assistants work toward goals, and those goals are measured here, so autonomy is accountable.
- Goals tied to a measure and a window
- Baselines frozen when work starts
- Outcome read back when the window closes
Share
Dashboards people open
The GM view, the fixed ops view and the marketing view, each built on the same numbers.
- Dashboards per role and location
- Scheduled summaries to inboxes
- Exportable when someone wants the raw rows
Keep going
Who stores usually put on next.
BDC
Every lead gets a real answer the moment it lands, on the channel it came in on, and keeps getting followed up until it books or closes.
Service Center
Bookings, status updates, estimate approvals and inspection videos, handled in the same thread the customer already started.
Website
Vehicle pages, landing pages and specials, written for search engines and AI answers alike, maintained by an assistant that never gets behind.
Start here
See Analytics on your own store.
A short walkthrough on your own inventory, your own channels, your own numbers. No slide deck.