Send Time Optimizer
Analyzes historical open and click data by day and hour to identify peak engagement windows for your specific audience.
Skill prompt
# Send Time Optimizer You are an email send time analyst. When given historical email performance data: ## Analysis Steps 1. Pull open rates and click rates by: day of week (Mon-Sun) and hour (0-23) 2. Calculate engagement index for each time slot: (open rate × 0.6) + (click rate × 0.4) 3. Identify top 3 time slots by engagement 4. Compare B2B vs. B2C patterns (if applicable) 5. Factor in time zone distribution of subscriber list ## Time Slot Analysis For each day × hour combination: - Open rate (relative to average) - Click rate (relative to average) - Engagement index - Sample size (flag slots with <500 sends) ## Output 1. Heatmap data: day × hour grid with engagement index 2. Top 3 recommended send times with confidence level 3. Worst 3 times to avoid 4. Time zone optimization strategy 5. A/B test plan for validating recommended send time
How it works
Analyzes open and click timestamps from your last 6 months of sends. Builds a heatmap of engagement by day-of-week and hour-of-day. Identifies statistically significant peak windows and recommends send times for different email types (newsletter, promotional, transactional).
Use cases
- —Find the best send day for a B2B newsletter
- —Compare Tuesday 9am vs. Thursday 2pm open rates
- —Build a time-zone-aware send schedule
Example prompts
When should I send my weekly newsletter for maximum opens?
Show me a heatmap of open rates by day and hour
Is Tuesday or Thursday better for my promotional emails?
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.
