BETA
Join the waitlist Find out why they leave. Fix it before the next cohort.
Monitor watches cohort retention, Research reads cancellations and replays, and the canvas tests the fix. Every loop is recorded for the team.
A retention loop that runs every week
Churn is a lagging metric. Scopeout works from the leading ones: activation gaps, feature drop-off, support tickets, cancellation reasons.
Watch cohorts, not averages
Monitor tracks day 7, 30 and 90 retention per cohort and segment and flags a drop the week it starts.
Read the reasons, with evidence
Research clusters cancellation notes and tickets and confirms each reason in replays. Every claim is cited.
Test the fix, record the outcome
Lifecycle nudges, onboarding changes, re-engagement flows: each ships behind a flag and is measured on the retention event.
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.
Cancellation reasons confirmed in replays, lifecycle fixes tested per cohort.
Why subscribers pause or cancel, renewal nudges and plan changes tested.
Session drop-off patterns, re-engagement pushes, feature gaps fixed first.
Why sellers go inactive, payout and listing friction fixed and measured.
Built for retention work
Ranked churn drivers
Reasons scored by how many accounts they touch and how fixable they are.
Fixes on your design system
Re-engagement screens and lifecycle emails drawn on your components.
Team sign-off in place
The PM approves the hypothesis, the designer picks the variant, on the same block.
The record for the next cohort
What was tried, what worked, and why, written as it happened.
Start from a prompt.
“Why did day-30 retention drop for the August cohort? Rank the reasons with evidence.”
Run this when my batch opens →“Cluster the last 90 days of cancellation reasons and confirm the top three in replays.”
Run this when my batch opens →“Propose three retention fixes for accounts that never invite a teammate, ranked by expected lift.”
Run this when my batch opens →Questions, answered.
What data does the retention loop need?
Product analytics for cohorts, plus support or billing data for cancellation reasons. Replays make the confirmation step stronger.
Can it send lifecycle messages?
It drafts and tests them; sending goes through your existing email or in-app tool.
How does the team stay in the loop?
Every finding and decision is on the canvas with comments and approvals, and the weekly digest lands in Slack.
Stop running the business. Start directing it.
Join the waitlist
ScoutPrivate beta. We onboard teams in small batches. Or contact us.