Email Unsubscribe Root-Cause Analyzer by Sprout24

Root-Cause Report

Explanation, Risk score, Leaderboard, Key metrics, and Signals

Health: –

Overall Unsubscribe Rate: –

Open-adjusted unsub and complaint coupling shown below.

Risk score

How to read this report

About the Risk score: It summarizes the top three detected causes on a 0–100 scale. 0–39 = healthy trend, 40–64 = watchlist, 65–79 = at risk, 80–100 = critical. Use it to compare runs over time, if it drops after your changes, you are improving.

Root-Cause Leaderboard

Why we flagged the top cause

7-Day Action Plan

Key Metrics (last sends)

— Unsubs per send (median)
— Unsubscribe rate (Unsubs ÷ Delivered)
— Open-adjusted unsub (Unsubs ÷ Opens)
— Complaint coupling (Spam ÷ Unsubs)
— Cadence vs promised
— Volatility (σ of unsub rate)

Signals Table

Formulas

Unsub rate = Unsubs ÷ Delivered
Open-adjusted unsub = Unsubs ÷ Opens
Complaint coupling = Spam ÷ Unsubs
Cadence delta = Actual emails/week − Promised emails/week
Volatility = Std. deviation of unsub rate across sends

Benchmarks (guidance)

Healthy unsub rate: 0.1–0.5% per send on small, opted-in lists.
Open-adjusted unsub: < 5% is fine; > 8–10% suggests content/expectation issues.
Complaint coupling: < 0.30 is comfortable; rising values point to trust/UX problems.

Glossary

Open-adjusted unsub: Unsubs among those who saw your email, isolates content fit.
Cadence mismatch: Sending more/less often than subscribers expected.
Volatility: Natural noise (bigger on small lists). Look at multi-send trends.

How this Email Unsubscribe Root-Cause Analyzer (calculator) Works?

Goal: Identify the most likely reasons people are unsubscribing and what to fix next. You’ll add 3–5 recent sends with simple counts (Delivered, Opens, Clicks, Unsubs, Spam) plus a few context fields (cadence, list size, promise, and UX).

What we compute

Root-Cause Leaderboard with explanations and a 7-Day Action Plan.
Key metrics: unsubscribe rate, open-adjusted unsub, complaint coupling, cadence delta, volatility.
A Risk score (0–100) summarizing top causes so you can compare runs over time.

Privacy note: All calculations run in your browser. No data leaves this page.

#	Delivered	Opens	Clicks	Unsubs	Spam	Type	Sent (YYYY-MM-DD)
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Email Unsubscribe Root-Cause Analyzer

Root-Cause Report

Overall Unsubscribe Rate: –

How to read this report

Root-Cause Leaderboard

Why we flagged the top cause

7-Day Action Plan

Key Metrics (last sends)

Signals Table

Formulas

Benchmarks (guidance)

Glossary

How this Email Unsubscribe Root-Cause Analyzer (calculator) Works?

What we compute

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