Turning a “failing” account into one of our best performers
CASE STUDY – LEAD GENERATION | HOUSEHOLD STAFFING | US MARKET
When we onboarded this household staffing agency in late 2024, the account was doing well – at least on the surface. CPA was below target, conversion volume was climbing month on month, and the numbers looked healthy.


Discovery
In a routine client check-in, we asked which lead type was stronger – a call or a form fill. The client said form fills. They also mentioned they regularly received calls from job seekers and people trying to reach a competitor.
We pulled the search term report for calls from ads. Almost every query driving those calls was either a job-seeking term or a competitor brand name.
The pattern made sense. Someone searches, sees the ad, calls directly without visiting the site, realises they’ve reached the wrong business, and hangs up. Google records that as a conversion.
What we changed
We made three structural changes:
- Moved calls from ads to a secondary conversion action so Google would stop treating them as a primary optimisation signal
- Tightened the negative keyword list to exclude all job-seeking terms
- Isolated competitor search terms into a separate campaign to control how much budget was being spent there, and to measure those terms clearly
The immediate result looked alarming. Overall conversion volume dropped significantly. CPA climbed. If we had been measuring the account on top-line conversion numbers alone, it would have appeared to be going backwards.
It wasn’t.

The Results
By end of 2025 comparing year on year:
More Spend. Fewer total conversions. Far more of the right conversions, at a lower cost.
Form Fill Conversions
Up 55%
– from 795 to 1,237
Form Fill CPA
Down 24%
from $225 to $170
Overall conversions
Down 26%
from 2,397 to 1,774
Overall CPA
Up 59%
from $75 to $119
Total ad spend
Up 18%
from $178,685 to $210,515
The Takeaway
This account is a good example of why conversion volume is one of the least useful performance metrics in isolation. Google will optimise toward whatever you define as a conversion – and if that definition includes junk, the algorithm will find more of it.
The fix here wasn’t a major rebuild. It was a conversion audit, a honest conversation with the client, and the willingness to let the headline numbers get worse in order to make the actual results better.

