Revenue X-Ray
Find the revenue between your best and worst locations.
Two dealers score the same NPS. One sells 160 units a month, the other 68. The gap between them is not luck, it is behavior, and it is the largest pool of revenue most enterprises never measure. Three numbers you already know, and the X-Ray shows yours.
The estimate is calibrated to results, not to the size of the gap: it applies the surfacing rate we have actually delivered in your sector. Nothing leaves your browser.
Your variance X-Ray
01 · Sector
Where you operate
Sets the typical spread between similar locations and the sector surfacing rate.
02 · Locations
How many units
Products, locations, or services you run. Rough is fine.
03 · Revenue
Average revenue per unit
Annual. This is the base every gap is measured against.
04 · Spread
2.4xHow far apart are similar units?
Your best quartile against your worst, on the same footprint and market.
Why this works: the score you already track (NPS, CSAT) is flat across these units. The revenue is not. Resultid finds the behaviors behind the difference and delivers them weekly.
Revenue Resultid would expect to surface from your network
$65.2M/ yrYour sector’s realized surfacing rate of 0.40%, applied to $16B across 1,051 units. The behavior-driven share of the gap below.
The pool it comes from
$1.4B
Sits between your bottom half and your own median of $15.0M every year. Most of it is market and footprint. The headline is the share behavior explains.
$21.3M
Your top-quartile unit, per year. This is what the footprint can do.$10.8M
Your bottom-quartile unit, same footprint, same market.$10.6M
The gap per unit. Across 1,051 units, that is the pool. Resultid surfaces a calibrated share of it.What it would take
Your number, next to the one we already delivered.
The $107M+ at a Fortune 500 OEM came from the same mechanism: dealers with identical scores and very different results. Here is how your network compares.
Connect what you already have
CRM, surveys, call transcripts, reviews, service records. 500+ source types so far, integration is free. No new collection.
Find the behaviors behind the gap
The engine compares your top and bottom units on everything they do, not what they score, and isolates the handful of behaviors that separate them.
Deliver the brief to every unit
Each location gets its own prioritized actions, tied to revenue, every week. Operators act on 92% of them.
Take it further
Turn this estimate into a number you can defend.
A 30-day diagnostic on one KPI using the data you already have. We show the variance in your real data, name the behaviors behind it, and put the first weekly brief in front of your operators. If we can’t show you revenue you didn’t know was there, you’ll know in the first meeting.
Keep this X-Ray
Copy a summary for your notes, or send it to a colleague. Nothing is stored; the numbers live only in your browser.
GDPR-compliant · nothing leaves your browser · no list
Methodology. Your units are modeled as a ranked distribution whose top-to-bottom quartile ratio equals the spread you chose (or your sector’s benchmark), scaled so the average matches the revenue you entered. The chart shows the pool: the sum of every unit’s shortfall below your own median. The headline applies your sector’s realized surfacing rate (0.30% to 0.45% of revenue, the rate behind Resultid’s $107M+ at a top-5 global OEM), adjusted up or down by how wide your spread is against the sector benchmark. Most variance is market and footprint; the headline counts only the behavior-driven share we have actually recovered.