KKANVASSERSee how it works →
Revenue Diagnostic

Same leads.Different outcome.

You don't have a lead problem. You have one revenue constraint doing most of the damage.

One constraint is costing you the most. Not the biggest number in your CRM. The biggest leak in your revenue chain.

8 inputs·60-second runtime·free to run·calibrated vs $23M verified spend
One real reading

This is what a diagnosis looks like.

One operator. One month. The same eight figures your CRM already tracks. Read for the revenue they conceal.

Revenue Constraint AnalysisPlate 01 / Adversity Marketing
Sales force capacity
53%of capacity
utilized
3 reps run 5.3 appts/wk against a target of 10. 56 appointments short, every month.
Recoverable Revenue / mo
$278K
Recoverable against current spend. $0 in additional ad budget required.
Where the $278K concentratesRecoverable / mo
Marketing conversionPrimaryset rate 26.1% vs 40% benchmark$149,016
Sales executionSecondaryclose rate 33% vs 43% benchmark$82,500
Volume / capacityrep underutilization$46,922
Total recoverable$278,438 / mo · $3.3M / yr
The reading

Close rate looks like the weak point. It is not the first move.

Only 51 appointments reach the close, so repairing it recovers $82K. The set rate is where $149K is hiding, and fixing it first raises the dollar value of every fix after it. The order is not cosmetic. It is the difference between recovering $82K and recovering $278K.

The largest leak happens before a conversation ever starts. This is an activation failure, not a sales-floor failure. A distinction the funnel counts alone will never surface.

The funnel it was read from · $23,550 spend · April 2026
245
LEADS
64
SET
26.1%
51
RAN
80%
17
CLOSED
33%
$16.5K
TICKET
avg
30+ interdependent calculations
Primary constraint isolated
Sample reading · illustrative
Your CRM shows the funnel.
It does not show the $278K.

The constraint exists whether you can see it or not. Kanvasser makes it visible.

↓   The method
How the reading is built

Eight inputs in. One constraint out. No dashboard to learn.

The MethodPlate 02 / Apparatus
Eight figures you already track. One constraint, isolated.8 → 1
01 · MAP THE CHAIN02 · BENCHMARK03 · ISOLATE30+ INTERDEPENDENT CALCULATIONS31 OPERATORS · 9 MARKETS01  MARKETING SPEND02  LEADS03  SET04  RAN05  CLOSED06  CANCELLED07  AVG TICKET08  REPSTHE CONSTRAINTone junction, named8 INPUTS1 OUTPUT01 · MAP THE CHAIN01 MKTG SPEND02 LEADS03 SET04 RAN05 CLOSED06 CANCELLED07 AVG TICKET08 REPS02 · BENCHMARK30+ calculations31 operators · 9 markets03 · ISOLATETHE CONSTRAINTone junction, named
8 inputs received
30+ interdependent calculations
1 constraint isolated
Not a dashboard.
A reading.
OUTPUT 01
Identify the constraint
OUTPUT 02
Quantify the impact
OUTPUT 03
Prioritize the move
Two operators buy the same leads.One outperforms the other by millions.

The difference is never the leads. It is a single junction in the revenue chain where demand you already paid for quietly fails to convert. You have felt this. You have watched it happen to your own numbers, without ever being able to point to where.

Where the reading stops

The reading identifies where the revenue breaks. Determining why requires deeper visibility.

For this operator, the constraint was set rate. Three different things could be causing it, and each one has a different fix. Eight static numbers name the constraint. They cannot tell you which driver is behind it.

If the constraint is set rate · three possible drivers
Lead source quality
Reallocate budget toward higher-converting sources. Retire the channels feeding aged or shared data.
Source-level attribution
Speed to contact
Install a five-minute contact SLA and call monitoring. The lead was good. The response was late.
Time-to-first-contact tracking
Setter execution
Script-test the setter process against benchmark conversion paths. Retrain, or replace.
Rep-by-rep performance variance

That is one branch of the tree. Set rate was this operator's constraint. Yours may be close rate, where the drivers are pricing, financing clarity, or rep-level variance. It may be volume, or speed, or retention, each with its own set of causes. The reading does not assume your pattern. It reads your inputs and resolves to the one that is actually yours.

Your inputs may reveal a completely different constraint. Get the reading.Begin the reading