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What the network average hides.

Deployed across 80+ franchise locations. The numbers below are split into two: what we have measured in production, and what we show live in the demo on a real network. The blended average was built to hide every one of them.

Shown live in the demo (modeled network)
Cost spread, same brand
4x to 10x
Cost per lead to cost per won job.
The inversion
Inverts
The cheapest leads convert worst.
Speed-to-lead, medspa
~3x
Consult booking, 10-min vs 96-min.
CAC variance, one ad account
up to 4x
Per-location cost per acquired customer.
Live on a real network. 30 minutes. No data required from you.
Measured in production

The canonical numbers across the systems we serve.

Franchise locations deployed
80+

Live across health and wellness, fitness, home services, and dental. One platform, calibrated to each location's market.

Average system-wide revenue lift
+18%

Across the systems we serve. Codify what the best location does, calibrate it to every market, run it every night.

Franchisees onboarded
40 in 10 days

One rollout. No IT project, no migration. Read-only access at the network level, live in days.

CAC variance within one ad account
up to 4x

Per-location cost per acquired customer varies up to 4x inside the same ad account. The blended average makes every one of those locations look identical.

Marketing tool stack replaced
$90K

The typical fragmented franchise marketing stack. One platform replaces it and answers what no stack could: what each location pays per acquired customer, and why it varies.

Shown live in the demo (modeled network)

This is live, not a mockup.

A multi-location health brand on a modeled network. Same brand, same services, same markets. Four tools, $90K a year in stack costs, zero visibility into what each location actually paid to acquire a customer. Here is what the platform surfaces the first time it runs.

The cost spread
4x to 10x

Cost per lead and cost per won job run 4x to 10x across identical-brand locations. The blended average sits in the middle and calls every location fine. Shown live in the demo on a modeled network.

The inversion
Cost is not performance

Rank the locations by lead cost and the order inverts: the cheapest leads convert worst. The number you optimize toward is the wrong one. Shown live in the demo on a modeled network.

Speed-to-lead, the signature lever
~3x and ~2.8x

Medspa consult booking lifts about 3x on a 10-minute versus 96-minute response. Home services emergency job win rate lifts about 2.8x on fast versus slow dispatch. Shown live in the demo on a modeled network.

The market-adjusted leaderboard
Raw rank inverts

Adjust for each location's market and the raw ranking flips. Your top raw performer is not your best operator, and your operational team can finally see which is which. Shown live in the demo on a modeled network.

The results your franchise development team will feel first.

Networks running ConversionSignal report stronger franchisee validation scores because every franchisee can show prospects their actual performance data.
Franchise development cycles compress when validation calls include real unit economics instead of vague assurances.
Higher-quality franchise candidates self-select into the system because data transparency attracts sophisticated operators, not bargain hunters.

See it live on a network like yours.

How much is the performance variance costing your P&L?

How much is it costing your franchise development pipeline?

Book a demo Free · 30 minutes · Live on a real network