Reference
Budget Optimization Model
Data-driven budget allocation recommendations across platforms.
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Category: Integration. Difficulty: Advanced. Estimated time: 1 hour. Estimated time saved: 8h/month. These estimates depend on your account and task.
Platforms
Best for
Prerequisites
- 60+ days of cross-platform 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 |
|---|---|
meta_get_insights | Performance data |
google_ads_run_gaql | Performance data |
linkedin_get_analytics | Performance data |
tiktok_get_report | Performance data |
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.
Budget Optimization
Analyze my cross-platform performance and recommend optimal budget allocation. Consider diminishing returns at scale, platform-specific CPA curves, and my overall targets. Provide a recommended monthly budget split.
Expected output: Budget optimization model with recommended allocation
Automation
This recipe is intended for an interactive run. Review the result with your assistant before proceeding.
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