Know who's about to churnbefore they do
You're losing customers before they cancel. Retain flags who's at risk and tells you why, so we can save them in time.
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Everything that had to go right:
About 0.0007% of humans make it this far. This one did.
All of that. For nothing.
You invest heavily to win a customer. Then they leave quietly, for free.
Deeply frustrating.
Retain can help you fix that.
We turn usage data into churn signals and ready-to-send outreach.
Our AI analyzes 10+ behaviour signals to predict customer churn.
Scanning accounts...
Instant churn risk alerts, with context. Sent where you already work.
Win-back messages based on customer changes, ready to send.
Keep more customers, preserving your MRR.
Acme Inc.
Back from High Risk
Globex
Re-engaged after outreach
Initech
Renewed annual plan
Just 10 minutes of setup. Then Retain watches while you sleep.

Just a HTTP (or SDK) call for the features that actually matter.

Connect your payment processor so Retain can track upgrades, downgrades, cancellations, and those “card declined” moments.
Yep, that’s it. The docs have the finer details if you want them.
Flexible pricing to help keep users (and your sanity).
Keep in mind, even a small churn reduction can greatly boost your ARR.
Everything you need to know about Retain.
Still confused? Ping me on X and I'll help you out.
Ping me on X
The bucket isn't going to patch itself.
Retain speaks MCP, so Claude, Cursor, Codex and friends can read your churn data and act on it. No dashboard required if you don't want to.
Before Retain, I was a founder losing customers in the dark. This is the story.
Hi, 👋🏼 Gabriel here.
Before Retain, I built Save Now, a SaaS for aesthetic and beauty clinics.
We were growing, but some customers kept quietly disappearing.
No complaints. No feedback. Just silence and churn.
And that was frustrating as hell.
You work hard for every customer. Spend money to acquire them.
Then they leave without telling you why.
That frustration pushed me deep into retention.
I started analyzing the signals that appear before churn: incomplete onboarding, low activity, unused features, failed payments.
Talk to Retain in natural language from any MCP client.
● get_at_risk_customers(risk_level: ["Critical", "High"]) ⎿ 7 customers7 accounts are slipping. The heaviest by MRR:CustomerRiskMRRHealthInactiveAcme IncCritical$1,2002418dGlobexCritical$9003112dInitechHigh$650449dUmbrellaHigh$480496dHooliHigh$420525d> ▋Once I connected those patterns, everything changed.
I could spot churn earlier, and understand why it was happening.
Even better, those same signals exposed the gaps in my product.
I wasn't just reducing churn.
I was learning what needed fixing.
Turns out, this wasn't just my problem.
A lot of SaaS companies are flying blind, losing customers without knowing why.
That's how Retain was born.
13%
before
6%
after
Churn rate, in 3 months.
After flagging at-risk customers early and reaching out before they disappeared.