Reference
Dayparting Optimization
Find the best hours and days to run your ads based on performance data.
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Category: Optimization. Difficulty: Intermediate. Estimated time: 30 minutes. Estimated time saved: 2h. These estimates depend on your account and task.
Platforms
Best for
Prerequisites
- At least 30 days of campaign data
Connect the required accounts and your AI assistant, then confirm the workspace and client context. Open a recipe for its prerequisites, prompts and expected output. Treat durations and time savings as editorial estimates, not guarantees. Check proposed writes before approving them. Recipes involving another service need a separate connection to that service.
Tools used
| Tool | Purpose |
|---|---|
google_ads_run_gaql | Hour/day performance |
meta_get_insights | Time breakdown |
The tools available to your assistant depend on account connections, workspace permissions and client support. Browse the tool catalog.
Prompts
Use these prompts in your connected AI assistant. Replace account names, dates and targets as needed. Read the result before following a recommendation or approving a write.
Dayparting Analysis
Analyze my ad performance by hour of day and day of week over the last 30 days. Identify the best and worst performing time slots. Recommend a dayparting schedule to improve efficiency.
Expected output: Heat map of performance by day/hour with scheduling recommendations
Automation
This recipe is intended for an interactive run. Review the result with your assistant before proceeding.
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