What the platform is optimising
An ad platform optimises toward the event you told it to value. If that event is 'form submitted', it will get very good at finding people who submit forms — including people who submit forms in the wrong city, about the wrong service, or with a phone number they never answer.
This is not a flaw. It is doing exactly what was asked. The problem appears when the reported success of that event is read as business success, because nothing in the platform's data can tell the difference between a good form and a bad one.
What revenue attribution measures instead
- Qualified leads — contacts that were reachable, in area, and wanted work you actually do.
- Booked and held appointments — the first point where the business spent real capacity.
- Sold jobs and contract value — the first point where the money is genuinely at stake.
- Collected revenue and margin — the only number that pays wages.
Reading the two side by side
The useful analysis is the ratio, campaign by campaign. Campaign A reports sixty conversions and produced two sold jobs. Campaign B reports twenty and produced six. Cost per conversion says A is three times better; cost per sold job says B is roughly nine times better.
That ratio is also the fastest lead-quality diagnostic available. A campaign whose submissions-per-sold-job ratio is drifting upward is degrading before the revenue report notices, usually because the targeting has widened or the creative is attracting the wrong intent.
Why revenue attribution alone is not enough
Revenue is a lagging measure. A campaign launched this week may not produce a sold job for six weeks, so early revenue reporting on it says nothing. Platform metrics are the only signal available in that window, which is exactly why they should be watched — as a leading indicator, not as a verdict.
The practical division: platform metrics decide whether an ad is functioning this week. Revenue attribution decides whether the campaign deserves next quarter's money.