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What writers find
Substack doesn’t tell you who went quiet. StackStats segments every subscriber by engagement — so you see who’s active, who’s fading, and who’s already gone.
Substack doesn’t rank subscribers. StackStats scores every reader by opens, clicks, comments, and shares — so you know who they are.
Not generic advice — computed from your own post history, with sample-size warnings so you’re not guessing from one data point.
All computed locally. All actionable.
KPIs, 30-day growth, 90-day forecast, latest post performance — all at a glance.
Which sources actually convert — and which posts drove real subscribers.
Engagement segments, churn risk scores, power users, subscribers worth re-engaging before they leave.
Best day and hour to post, top growth posts, resend candidates.
Cohort retention, open rate decay, engagement funnel, top readers scored 0–100.
Page views, follower vs. email growth, audience by country and US state.
Growth analysis, 30-day action plan, and a chat window that knows your data.
Download and open the app on Mac or Windows.
Auto-Sync pulls all your data in one click. No CSVs, no manual exports.
Everything populates. Start exploring.
All analytics work without AI. But if you want a 30-day action plan, growth strategy, or a chat window you can ask “why did my open rate drop last month?” — it’s one setting away.
I write 10+1 Things, a weekly curated links newsletter on Substack with around 3,000 subscribers. I built StackStats because Substack’s dashboard couldn’t answer the questions I actually had. Who stopped reading. Which posts brought real subscribers. How my audience actually behaves over time.
I use it every week to see how my readers are engaged. It’s the tool I wanted and couldn’t find, so I made it.
No subscription. No account. No recurring charges.
Buy it today — it’ll be a better product next month.
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