Dayparting changes advertising bids or rules by time window. It is an account-specific test, not a standard ACoS improvement. Use seller-authorized reports, state the marketplace and time-zone assumptions, and keep the change only when that seller's evidence supports it.
What to verify before testing
- The report exposes a suitable time grain and the time zone is understood.
- The campaign has enough comparable observations for the client to make a decision.
- Budget exhaustion, inventory, promotions, and seasonality are recorded as possible confounders.
- The proposed bid rule, maximum change, stop condition, and review period are approved in writing.
When the data is too sparse
Do not infer an hourly pattern from a small number of conversions or from one unusual period. Aggregate windows only as far as the account evidence supports, and disclose uncertainty. There is no universal spend threshold, history length, conversion gap, or test duration that proves dayparting will help.
Controlled comparison
Choose a limited campaign scope, preserve a comparable baseline where practical, and change one scheduling hypothesis at a time. Compare ACoS, spend, attributed sales, impression delivery, and relevant account events over the agreed periods. A difference can be an observation without proving that the schedule alone caused it.
Decision rule
Keep a schedule only when its operational cost and account-specific evidence justify it. Otherwise prioritize clearer issues such as campaign structure, search-term relevance, product economics, or inventory. BFarm documents recommendations and applies changes only after client approval; no efficiency result or timing is guaranteed.
See the weekly PPC review framework, budget allocation, and the Advertising Optimization service.