Definition
Dayparting schedules when ads can run (hours/days) to focus spend on higher-performing times, but it can bias learning and measurement.
Example
You pause ads overnight and run only 8am-8pm when sales teams can respond to leads.
How to use it
- Use dayparting only after validating stable time-of-day patterns.
- Consider operations constraints (sales coverage, support) for lead gen.
- Re-check performance after seasonal changes or creative updates.
Common mistakes
- Using dayparting too early and starving the learning phase.
- Assuming historical time-of-day performance will stay stable.
Measured as
Measure Dayparting with a fixed attribution window, conversion event, and spend basis before comparing campaigns or creative tests.
Misused when
- Using dayparting too early and starving the learning phase.
- Assuming historical time-of-day performance will stay stable.
Operator takeaway
- Use dayparting only after validating stable time-of-day patterns.
- Consider operations constraints (sales coverage, support) for lead gen.
- Re-check performance after seasonal changes or creative updates.
- Use Dayparting only inside a stable attribution rule, conversion definition, and time window so campaign comparisons stay honest.
- If performance changes, check whether the metric moved for a real business reason or because the measurement setup changed underneath you.
Next decision
- Read Paid ads bidding & budgeting hub: max CPC, target CPA, and break-even targets if the decision depends on interpretation, policy, or trade-offs beyond the raw formula.
- Decide which report owns Dayparting before comparing campaigns, channels, or creative tests.
Where to use this on MetricKit
Guides
- Paid ads bidding & budgeting hub: max CPC, target CPA, and break-even targets: A practical hub for bidding and budgeting: compute max CPC from CVR and margin, set target CPA using LTV, and use break-even CTR/CVR/CPM targets to guide creative and landing optimizations.