Read Google Ads performance by geography
Geographic performance via GAQL, compared to what the campaigns claim to target.
IntentWhere the money works: performance by location against the targeting's intent.
- 2
- Steps
- 1
- Tools
- 2
- Rules
- 1
- Failure modes
When to use it
Use it when
- Multi-region accounts, quarterly.
- Before geo bid adjustments or exclusions.
Do not use it when
- Small accounts where geo cuts leave no readable volume per cell.
What it needs first
Required
Preconditions
- The account is ticked in the dashboard, confirmed via list_accounts.
Inputs
window- Analysis window.Default: last 30 days.
Procedure
In order. Every tool named is one the gateway ships, and links to its reference.
Run the geographic view query over the window.
Compare spend share vs conversion share by location.
Decision rules
The observable condition, what it lets you conclude, and what takes the conclusion back.
When
A location takes spend share far above its conversion share, at volume
Conclude
Bid-down or exclusion candidate, sized by the gap.
When
'Presence or interest' targeting shows spend outside the intended market
Conclude
The setting, not the market, is the finding: recommend presence-only where intent requires it.
Evidence every conclusion must carry
- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.
Where the agent stops
- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.
How it goes wrong quietly
The cases where the analysis is wrong and still looks right. Read them before trusting a number.
- Location of interest vs location of presence split the same user differently across reports.
What the answer contains
- 01Readout
- The figures, with windows and accounts named.
- 02Flags
- What deserves a deeper skill or a human decision.