Every brand answers the phone the way it did before you bought it.
1 call in 55 ended with a written recap.
55 calls · Jul 16–25, 2026 · scenario-controlled · limitations in the report
call 51 · Jul 25 · Sat night · active roof leak · could not price · could not book · callback offered Monday morning
The problem
One brand names tomorrow morning. A sister brand takes a message.
Tuesday morning, the weekly revenue call. Marketing spend is up. Booked jobs are flat in two brands and fine in the rest, and nobody on the call can say why. Every company you bought came with its own way of answering the phone: its own scripts, its own after-hours service, its own habits at the moment a caller hesitates. The deal integrated the accounting, the brand, and the software. It never touched the phones. The failures cluster after hours, when no manager is watching, and every new tuck-in resets the problem, sometimes losing good habits the company arrived with. The same Saturday call gets booked under one flag and taken as a message under another, and no report you see shows the difference.
One more layer: platforms consolidating their tech stacks are installing answering tools nobody has independently tested, and an untested tool fails the same scenarios people do.
The evidence
55 calls, 48 PE-owned brands, 10 days in July.
Each call was me as a homeowner with a real problem: a leak, a dead furnace, a competitor’s quote in hand.
- 55 calls placed.
- 6 of 55 never reached a live voice, all 6 at brands running paid ads that week.
- 9 of 49 answered calls could not price a visit.
- 11 of 49 reached someone who could only take a message.
- 36 of 49 never asked for an email address.
- Only 8 of 49 tried to keep me when I hesitated.
- 1 of 55 ended with a written recap.
- In the 13 calls where a sister brand did the work I needed, none referred me.
The Saturday call
On the last Saturday night of the study I called a roofing brand about an active leak. The answering service could not price the visit, could not book it, and offered a callback for Monday morning. The person who answered was never given a path to the schedule; the system fails, and the frontline doesn’t.
Your numbers
Put a number on your own gap.
Opportunity calls are new-work inquiries. Confirmations, existing jobs, and vendor calls don’t count.
Your guess at the gap; I measure the real one.
If your gap is 5 points, that’s about $2,448,000 a year in unbooked jobs across your 6 brands.
For scale: your inputs describe about $48,960,000 a year of opportunity calls at your ticket. The figure above is the 5-point slice of it.
monthly opportunity calls × brands × gap ÷ 100 × average ticket × 12
Translate to enterprise value
At 20% flow-through and 8x, that’s roughly $3,917,000 of enterprise value in your scenario.
Both sliders are yours to set. I publish no multiple.
You just guessed your most important number. The operating review replaces the guess with a measured one.
Why you can’t see it
An answered call that takes a message looks fine on a dashboard.
This reads like something your answer rate would have caught. It will miss it every time. A company cannot mystery-shop itself. Dashboards count answered calls. I count booked jobs, from call notes taken the same way at every brand: same problem, same hesitation, same competitor quote. A call that ends as a message slip still counts as answered.
The engagement
Shop, price, playbook.
The engagement is an operating review of every front door you own. Three moves.
Shop. I call every brand in your portfolio as a customer: the Saturday 9 PM call, the price shopper, the caller holding a competitor’s quote. If a brand runs an AI answerer, it gets shopped too. Each brand gets a scorecard across the intake stages, so you see where each front desk stops.
Price. The gap between your best and worst brand gets priced from your own call volume and your own average ticket. Every dollar figure on the table is yours.
Playbook. Your best brand’s habits become a written intake playbook, applied to the weakest brands first and to the next company you buy.
By Day 90 you know where every brand stands, and you hold the playbook.
The first 30 days after the shop: one habit, one weak brand, counted before and after. After that, each acquisition gets a re-shop, so the playbook is what the next tuck-in inherits.
Fit
Built for multi-brand platforms still acquiring. Wrong for owner-operators.
This is for the CEO of a PE-backed home services platform, mid-hold, several brands, still acquiring, with a board asking why bookability differs across the portfolio. It is a bad fit for single-brand operators, for companies done acquiring, and for owner-operators who answer their own phone. If that is you, the report’s self-test will get you most of the way for free.
For sponsors: your deal team can run the same shop pre-close on a target’s brands. Post-close, it runs on platforms you already own.
Founder

Zaha Al-Hmoud
Founder of ZTS Advisory
I’m in Vancouver. My career is the layer between a customer’s inquiry and a booked, paid job, including intake and contact-centre work at Deloitte Digital and Doblin. I placed all 55 calls in the study myself. One specialist: the person who measures the gap writes the playbook.
Start here
Book the operating review.
You bring your brand count and your average ticket, I bring what 48 PE-owned brands taught me about where booked jobs go missing, and 30 minutes later you know whether your portfolio needs this.
