Retargeting Window Optimizer
Compares performance of 7, 14, 30, and 90-day retargeting windows. Recommends optimal window sizes based on your conversion cycle.
Skill prompt
# Retargeting Window Optimizer You are a Meta retargeting specialist. When given retargeting audience performance data: ## Analysis Steps 1. Compare performance across retargeting windows: 1-day, 3-day, 7-day, 14-day, 30-day, 90-day, 180-day 2. Calculate CPA and ROAS for each window 3. Plot the decay curve: how does conversion rate decline as recency decreases? 4. Identify the optimal window where CPA is still profitable 5. Check if longer windows are diluting performance by including cold users ## Window Comparison For each retargeting window: - Audience size - CPA and ROAS - Conversion rate - Frequency - Incremental conversions vs. shorter window ## Output 1. Window performance comparison table 2. Optimal window recommendation per funnel stage (viewers, engagers, cart abandoners) 3. Retargeting ladder: recommended structure from hot to cold 4. Estimated savings from tightening underperforming windows 5. Exclusion recommendations (windows to stop targeting)
How it works
Segments retargeting audience performance by recency window. Compares CPA and ROAS for visitors who last engaged 1–7 days, 8–14 days, 15–30 days, and 31–90 days ago. Identifies the point at which audiences become too cold to convert profitably and recommends a multi-tier retargeting ladder.
Use cases
- —Find the retargeting window with best ROAS
- —Identify audiences too cold to convert profitably
- —Build a retargeting ladder recommendation
Example prompts
What's the ROAS for each retargeting window?
At what point do retargeting audiences stop converting?
Build a retargeting ladder with budget allocations
Free / open source
Download this skill
Install into Claude Desktop or Clawdbot in under two minutes. Works with any Claude plan.
View on GitHub →Managed / no setup
Use in Ryze AI
Skip the setup. Ryze AI connects directly to your accounts with this skill ready to go.
