OpportunityMeta · Account Architect
4 campaigns overlap on the same objective.
$310/ mo, the model's estimate
Ready to apply.Fix with Adgent
The conversion isn't on the internet.
Google models store visits from a panel, with thresholds it doesn't disclose. Since September 2025 they count as conversions by default, at a value Google sets.
Your AI employee keeps each account separate: Adgent reads a location or client account against its own history, remembers its confirmed operating context, and does not compare one account with another.
The platform reports
a store visit, as a conversion1 visit- Countedby default
- Valueset by Google
- How it was obtained (not in the ad account)modelled
- Thresholds (not in the ad account)not disclosed
Walk-ins you can verify from the ad account0
The other half happens on a phone, or at the front desk.
Each was paid for by a click. None of it is in the ad account.
At the front desk, 59% of callers reach a person and only 43% of those are asked to book.
- Reach a person and are asked to book
- Reach a person, and nobody asks them to book
- Never reach a person
59% / 43%of callers reach a person; of those, the share asked to book
7.4% + 15.5%of appointments lost to no-shows and advance cancels
26%of weekly restaurant bookings fall on Saturday
Invoca healthcare report, 2025 · Clerri, 1.6 million appointments, 2025 · Toast, Q3 2025.
Agents on every location, every day.
Read every location
Every connected account, every day, including the ones nobody opened this month.
DecisionsSpot locations bidding against each other
Account Architect finds campaigns chasing the same objective.
SpecialistsReport on a schedule
Set an agent to watch a metric across locations and report back on its own.
Agents & workflowsA card from the runOne live account
One lead-generation account (not multi-location), 4 Sep 2026. Translated; ₺15,000 at 48.4069 per USD.
Whether anyone walked through the door.
Two limits that survive whichever tool you buy.
Store visits are modelled, and Adgent can't verify a model whose thresholds aren't published. Calls, bookings and the till aren't in the ad account.
Near full capacity, more budget buys no-shows. The rota is yours.
Running these accounts for clients? How Adgent works across a book of client accounts
Settings that teach the bidding the wrong thing.
Each one gets worse with time rather than staying flat, because each one trains the algorithm.
Call length as the conversion.
Count any call over thirty seconds as a conversion and the bidding learns to buy long calls: wrong numbers, reschedules, vendors, job applicants. It does exactly what it was told. Across more than 60 million calls, only 61% of callers to businesses spoke with a person at all.
Source: Invoca, Call Conversion Industry Benchmarks Report, June 2025.
Locations bidding against each other.
Campaigns built by service rather than by location can put several of your own offices into the same auction. You pay a premium to compete with yourself, and the account report shows nothing unusual because in aggregate it is fine. Account Architect looks for campaigns chasing the same objective inside an account; comparing one location's account with another's is roadmap.
Presence or interest, on by default.
Google's default location option reaches people in your area and people who have only shown interest in it. For a clinic with a ten-mile catchment, an out-of-area click is rarely a patient, and it is the setting nobody checks.
Nobody in this vertical says ROAS.
Operators say cost per new patient, cost per booked appointment, show rate, chair utilisation. Near full capacity, more budget tends to buy leads booked into distant slots, and distant slots no-show more. That number lives in your booking system, not the ad account.
What multi-location operators ask first.
We have twelve locations. Does it read all of them or just the biggest?
All of them, one at a time. Every connected account is read daily, including the ones nobody opened this week, each against its own history, so a healthy group average can't hide three sites losing money. It doesn't rank one location against another; that needs cross-account reading, which is roadmap. Decisions
Can it move budget from a weak location to a strong one?
Not across accounts. Adgent opens one company's data per session, so there is no blended judgment across the group. Within a location it prepares budget and bid moves from that account's own numbers, while the workspace shows which account needs attention first.
Google says we got store visits. Should I trust that number?
Treat it as a model, not a count. Google estimates store visits from a panel, with thresholds it doesn't publish, and since September 2025 they count as conversions by default at a value Google sets. Adgent shows which conversion actions are primary and actually driving your bidding, and a metric window the Trust Gate can't trust never raises an action. Trust Gate
What about show rate and the calls nobody answers?
Adgent can't see either: show rate and revenue per patient live in your booking or practice-management system, and there's no connection to it. What it can see is what your bidding is trained on: a short call counted as a conversion, a radius running past your catchment, placement and demographic waste. Fixing what the account counts comes first. Ground truth
Find out what each location's account is actually buying.
Each location keeps its own account history. Adgent carries the recommended move and result into that location's next read without blending the group.