Track & Analyze Unsubscribe Trends
Monitor why people are unsubscribing and fix engagement issues
Tracks unsubscribe rates across all campaigns, identifies patterns (which segments unsubscribe most?), and alerts you if any campaign causes unusual churn. Helps protect list health.
High unsubscribe rates signal content problems. This automation monitors unsubscribe trends daily, comparing new unsubscribes against historical averages by segment and campaign type. If a campaign causes 3x the normal unsubscribe rate, Nora immediately alerts the marketing manager. It also creates a weekly summary: Which customer segments unsubscribe most? Which campaign types have the highest churn? Are unsubscribes concentrated in certain industries or geographies? By identifying patterns early, teams can adjust content, frequency, or segmentation before list quality degrades. For example, if unsubscribes spike after product announcements (typical: 0.5%, recent spike: 2%), the team can switch to softer messaging. A rising unsubscribe rate is the earliest signal that the content has drifted from what people signed up for, and it is only useful if you see it that week.
Runs daily at 9:00 am, weekly summary every monday using Mailchimp and Gmail, run by your Marketing Manager.
How it works
- Query Mailchimp for unsubscribes from past 24 hours
- Calculate unsubscribe rate by campaign type and segment
- Compare against 30-day rolling average per segment
- Flag campaigns with unsubscribe rate > 3x average
- Compile segment-level churn trends for weekly report
- Send alert email if anomaly detected
Frequently asked questions
What does "Track & Analyze Unsubscribe Trends" do?
Tracks unsubscribe rates across all campaigns, identifies patterns (which segments unsubscribe most?), and alerts you if any campaign causes unusual churn. Helps protect list health.
How long does setup take?
Under 5 minutes. Connect your tools and Nora handles the rest.
Which tools does this use?
Uses Mailchimp and Gmail, run by your Marketing Manager.
How much time does this save?
Saves approximately 2 hours/week, running daily at 9:00 am, weekly summary every monday.
Connects to
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