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automotive

Your best dealer outperforms your worst by $890K. Find out why.

Resultid surfaces what drives dealership performance across every product, location, and service, from sales floor to service bay, with intelligence your teams can act on weekly.

Dealers Activated3,500+
Revenue Surfaced$107M
Dealer Activation Rate92%
Sales Lift at Top CX125%

One top-5 global OEM. Identical CSI scores, very different results. The difference was operational, and it was sitting in the voice data nobody was reading.

Aerial view of a dealership at night: showroom, service bay, and lot
Showroom67% test-drive rate
Sales desk3.2x conversion
Service bay$890K wait gap
LoungeNPS 89 when < 20min
Lot12-day turn rate
Dealership 2847 · Sacramento · Week 34
Five signals from one store, read together. The service-bay wait explains the gap the CSI score could not.Units / mo 160NPS 90Gap to peer $890K

3,500+

Dealers Activated

$107M

Revenue Surfaced

92%

Dealer Activation Rate

125%

Sales Lift at Top CX

In production at

StellantisBMW
Isometric showroom cutaway: delivery, service counter, and sales desk
DeliveryAdvisor introduced at handover
Service counter30-day follow-up run
Sales deskFixed-ops hand-off scripted

Close the gap

Close the gap between your best and worst dealers.

Customer scores summarize. They don't explain why dealer A outperforms dealer B. Resultid surfaces the operational story behind the numbers.

At one top-5 global OEM, Resultid surfaced $107M in invisible revenue across 3,500+ dealers. The gap wasn't in pricing or inventory: it was in which service complaints reached which dealer, which advisors ran the 30-day follow-up, and which stores treated the fixed-ops hand-off as an afterthought. None of that shows up in CSI. All of it shows up in the unstructured voice data nobody was reading.

What regional leaders get

01Weekly revenue-gap briefs for every dealer in the region
02Service and warranty risk alerts 30 days before they hit the scorecard
03Operational signals paired with verbatim customer and advisor voice
04Cross-brand comparisons at the individual store level

Platform

Close the revenue gap between your best and worst dealers.

Three things the platform does for a dealer network, each delivered to the people who can act on it, every week.

01

Dealer Network Intelligence

One dealer in Sacramento ends the quarter $890K ahead of one in Phoenix selling the same vehicles. The gap lives in service-bay handoffs, advisor behavior, and which complaints reach which manager. We surface the signals that explain the difference, at the individual dealer, every week.

Weekly briefPer dealerService bayAdvisor behavior
02

Customer and Staff Voice Synthesis

Post-sale surveys, online reviews, service reports, mystery shops, advisor notes, unified into one operational view. You see why one showroom converts and another doesn't, not just that CSI moved half a point.

SurveysReviewsService reportsMystery shopsAdvisor notes
03

Warranty and Service Risk Alerts

Warranty cost spikes, service bottlenecks, and churn signals surface 30 days before they cascade across the network. Proactive service saves two things at once: reputation and margin.

30 days earlyWarrantyBottlenecksChurn

In practice

How dealer groups close the gap between their top and bottom-decile stores.

Regional leaders see why dealer A outperforms dealer B at the same volume (service load, rep behavior, and warranty patterns), not just which satisfaction scores moved this quarter.

As a leader in dealer operations, you understand that dealership performance depends on understanding what customers and teams actually experience, not just what scores suggest. Your team manages feedback from surveys, reviews, warranty claims, service reports, and sales interactions across thousands of locations.

Yet connecting these signals into a single intelligence layer that explains performance differences at the individual dealer level remains an unsolved challenge. Without it, decisions are made on regional averages that hide the specific actions that would move the needle at individual dealerships.

Find the $107M hiding between your best and worst dealers.

Surface the revenue gaps and operational blind spots across every dealer and service department.