Review Google Ads dayparting against actual performance
Hour-and-day performance against the campaign's schedule settings.
IntentWhether the schedule matches when conversions actually happen.
- 2
- Steps
- 2
- Tools
- 2
- Rules
- 1
- Failure modes
When to use it
Use it when
- Lead-gen accounts with opening hours.
- After 'we should advertise less at night' opinions.
Do not use it when
- Smart bidding campaigns where schedules mostly gate rather than bid: read what the strategy honours first.
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 hour/day segmentation query over a long window.
Read the campaign's current schedule.
Decision rules
The observable condition, what it lets you conclude, and what takes the conclusion back.
When
Conversions cluster in hours the schedule excludes
Conclude
The schedule fights the data: quantify the excluded conversions.
When
Night hours convert at lower CPA than office hours
Conclude
Do not cut them on instinct: cheap hours are often cheap because competitors sleep.
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.
- Conversion time is recorded at click or at conversion depending on the report: name which one the table uses.
What the answer contains
- 01Readout
- The figures, with windows and accounts named.
- 02Flags
- What deserves a deeper skill or a human decision.