Bring back the users who left.
Who is worth winning back, why they left, and which product change or message brings them home. Scopeout runs the win-back loop and reports what it recovered.
Win-back starts with why
Most reactivation is a discount email. Scopeout starts with the reason they left, fixes it where it can, and only then reaches out.
Rank who is worth winning back
Dormant and churned accounts scored on past value and the fixability of why they left.
Fix the reason first
If they left because of a product gap, the fix ships behind a flag before anyone is emailed.
Then reach out, and measure
Win-back messages tested on return and reactivated revenue, with the reason for leaving in the copy.
The same loop, your metrics.
The method does not change by business model. The evidence, the tests and the number that has to move do.
Churned accounts scored on value and fixability, fix first, then win-back.
Why they stopped buying, replenishment and win-back offers measured on reorders.
Dormant users by reason, product fixes shipped before the win-back push.
Inactive sellers by reason, listing friction fixed, then outreach.
Built for win-back
Churn reasons, confirmed
Cancellation notes, tickets and replays clustered into reasons with evidence.
Messages that name the fix
Win-back copy written from the record: what they hit, what changed.
Reactivated revenue
Recovered MRR per campaign, per reason, per segment.
Learning for retention
Every win-back reason feeds the retention loop so fewer leave next time.
Start from a prompt.
“Which churned accounts from the last six months are worth winning back, and why did they leave?”
Run this when my batch opens →“The top churn reason is missing CSV import. Design and build it behind a flag, then draft the win-back message.”
Run this when my batch opens →Questions, answered.
Does it email churned users on its own?
Only after approval. Messages are drafted from the record and sent through your tool once a person signs off.
What if the reason is price?
It says so, with the numbers, and proposes a packaging test rather than a discount by default.
How does it measure success?
Reactivated accounts and recovered revenue per campaign, against a control group.
Stop running the business. Start directing it.
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