The account records 97 conversions and bids on 4
A month inside a small search account: the number in the meeting was 24× the number the machine optimises toward, and budget was never the constraint.
A small clinic’s search account, reviewed properly for the first time. Three findings, each of which contradicted what everyone in the room believed.
1. “Conversions” was two different numbers
In conversation, the account had ~97 conversions. In the bidding configuration, it had 4.
The other ~93 were business-profile actions — calls from the map listing, direction requests, profile website visits — recorded alongside everything else but excluded from the goals the campaign optimises toward. Both numbers are real. They are answers to different questions, and every conversation about “how the ads are doing” was silently mixing them.
The tempting fix — force the map-listing actions into the bidding goals — is wrong: it teaches a search campaign to chase behaviour it does not cause. The right fix is only linguistic discipline. Always state which number you mean. Most arguments about this account dissolved the moment the two figures were separated.
2. Budget was never the constraint
The account spent about ₹47 a day against a ₹500 daily budget — nine percent. When the budget was raised, weekly spend went down.
“Increase the budget” is the default recommendation in every review of an underperforming account, and here it was mathematically incapable of doing anything. The actual constraints were the unfashionable ones: bid limits, quality scores averaging 3.5 out of 10, and a landing page rated below average on every scored keyword. An account that can’t spend its existing budget is telling you the problem is upstream of money.
The one-line diagnostic: spend ÷ budget. If that ratio is low, stop discussing budget.
3. The intent that converts has a shape
Every conversion in the month came from queries combining price, proximity, and speed: “teeth cleaning cost near me”, “tooth cleaning price”, “same day”. Meanwhile the generic profession terms — “dentist near me” and its variants — burned 57% of spend for zero.
The pattern generalises further than dentistry: the person naming a price and a distance is buying; the person naming a profession is browsing. The converting queries became exact-match keywords the same day, and the browsing terms lost their budget.
The honest summary
None of this required a tool, a script, or an agency. It required reading three things the interface already shows: what actually converted, what the machine actually bids toward, and what fraction of the budget actually spends. The gap between an account’s story and its configuration is where most of the money is — and it’s checkable in an afternoon.