Results · Case studies

Results, in the company's own numbers.

Every ServiceScout result is measured the same strict way: briefed jobs that sold, divided by briefed jobs that ran, on the same techs and job types Before and After. No modeled lift, no booked-call vanity. Here's what that looked like.

Case study
The Trust leak
HVAC · 508 visits · Sun Belt · names changed
Anonymized
HVACSales PlaysDispatch
Company close rate
47% on 508 ran visits · $7,400 average sold ticket
Most common play
Trust · 53% of briefs · closed at 41% — the biggest lever in the business
The gap
On Trust visits: two techs at 46–52%, two at 13–15%. Same play, same market, 35 points apart.
Two decisions
Route Trust to the strong closers whenever free · three weeks of ride-alongs for the weak ones
What it's worth
Trust from 41% → 50% on the same visits ≈ $130,000 a month
Honest math, every time

How we measure a result

A case study here is built from the same reports the company sees: Performance › Close Rate and Reports › Sales Plays.

Close rateSold ÷ Ran
Briefed jobs that sold divided by briefed jobs that actually ran. Canceled and not-yet-run visits never count.
Before / AfterSame techs, same job types
Before is your close rate from your software's history, on the same technicians and job types you count today. It's frozen on purpose.
Enough visitsAbout 8 per cell
Under about eight ran visits for a tech on a job type or play, the number is noise. We fade those cells and we don't quote them.
Time range90 days for rules, Lifetime for renewal
Dispatch rules are made on 90 days. The renewal math — Lift × briefed visits that ran × average sold ticket — is Lifetime.
What one point is worth

The math behind every result

$28K
per month, per point — 400 visits × $7,000
$336K
per year, per point
$1.7M
five points, per year
0
canceled visits counted

A point of close rate is free visits: sales on appointments you already paid to book and already sent a truck to. Do the math on your numbers.

FAQ

Questions people ask

Are the case-study numbers real?

Yes. They come from the company's own outcomes in ServiceScout — the same Performance and Sales Plays reports the company reads. Names and identifying details are changed where the company asked.

Why 'names changed'?

Because contractors compete locally and the numbers are theirs. What's published is what a reader needs: the share of visits by play, the spread between techs, the decisions made, and what they were worth.

Do you publish modeled lift?

Not as a result. The only lift we quote is Before / After on the same techs and job types. Modeling is what the demo does against your numbers, and it's labeled that way.

Can I see a result on my own schedule?

The demo builds a brief on a recent sales visit from your software and models your close-rate math honestly. Book a demo.

Know Before You Knock

See a Scout Brief built on a real appointment from your schedule.

A 30-minute walkthrough. We pick a recent sales visit, build the brief and the audio, and walk through Today's Play as if your tech were about to knock. You decide if it changes the call.