Ad measurement

Divine Power · For a home-services brand

Eight months of ad bidding, trained on conversions that weren't real.

A home-services brand was paying for leads through automated ad bidding that learned from its own tracking. I orchestrated several existing AI skills as subagents to audit that tracking and work through large Google Analytics and Ads exports, and directed the audit with follow-up questions. The ad platform reported 7.3 conversions for every real one. Separately, the real cost was $946 a lead, against a $91 benchmark. The audit is done; the tracking rebuild is in progress.

Problem
The ad platform reported 7.3 conversions for every real one, and automated bidding learned from that inflated data for eight months.
My role
Founder of Divine Power. I orchestrated several existing AI skills as subagents and directed the audit with follow-up questions.
What I did
Orchestrated existing AI skills as subagents to audit the tracking schema and digest large Google Analytics and Ads exports, then set the conversions the platform reported against the real ones.
Outcome
A real cost of $946 a lead against a $91 benchmark, and a projected ~$700K growth opportunity identified. The tracking rebuild is in progress.
Two bar charts. Cost per lead: $946 real, from the audit, against a $91 benchmark. Conversions reported per real one: 7.3 reported by the ad platform against 1 real.
Built from the audit's figures. The same numbers are in the table below.

Why the numbers misled

Automated bidding spends toward whatever the tracking reports as a conversion. At this brand, the ad platform reported 7.3 conversions for every real one. For eight months the bidding learned from that inflated signal.

How the agents ran the audit

The evidence was spread across a tracking setup and exports too large to read by hand. I orchestrated several existing AI skills as subagents to audit the brand's tracking schema and to digest its Google Analytics and Google Ads exports, and I directed the audit with follow-up questions. The agents made the volume possible.

What the audit found

MeasureFinding
Conversions reported for every real one7.3
Months of bidding trained on that signal8
Real cost per lead$946
Benchmark cost per lead$91
Growth opportunity identified (projected)~$700K

The audit found two separate gaps. The real cost per lead was $946, against a $91 benchmark. Separately, the ad platform reported 7.3 conversions for every real one. The ~$700K is an opportunity identified from the audit, not revenue earned.

Where it stands

The audit is complete. The tracking rebuild is in progress, so that the bidding learns from real leads instead of inflated ones.

Results

$946

real cost per lead, against a $91 benchmark

A real cost, measured in the audit; $91 is the benchmark

7.3x

conversions reported for every real one

Automated bidding had learned from that signal for 8 months

~$700K

growth opportunity identified

Projected, not realized: the tracking rebuild is in progress

Client details are omitted or blurred for confidentiality.