Analyze historical data to find optimal email frequency based on unsubscribe rates and engagement
The approach involves analyzing historical data to identify optimal frequency:
This method uses historical performance data to determine the best frequency to maximize engagement while minimizing unsubscribes.
| Frequency | Open Rate | Unsub Rate | Engagement Score | Recommendation |
|---|---|---|---|---|
| 1/week | 25% | 2% | 23 | Good |
| 2/week | 28% | 2.5% | 25.5 | Best |
| 3/week | 22% | 3% | 19 | Good |
| 4/week | 18% | 4.5% | 13.5 | Fair |
| 5/week | 15% | 6% | 9 | Poor |
Engagement vs Unsubscribe Rate
Based on your historical data, sending emails 2 times per week yields the best balance between engagement and retention.
Optimizing email frequency helps you: