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.

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
| Measure | Finding |
|---|---|
| Conversions reported for every real one | 7.3 |
| Months of bidding trained on that signal | 8 |
| 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.