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Customers don't quit overnight. They show signals, but without proper monitoring you only discover the problem when it's too late.
If you're the type who loves...
Paying $$$ to acquire users… and letting them leave for free.
Burning nights coding, marketing, and firefighting while customers quietly ghost you.
Running your SaaS like a leaky bucket, admiring this relaxing waterfall.
Keep enjoying the chaos… or let churn signals do the talking.
Just 10 minutes of setup. Then Retain watches while you sleep.
Just a HTTP call for the features that actually matter.
Link your payment processor so Retain can track payments, upgrades, downgrades, cancellations, and those “card declined” moments.
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.
Confused? Ping me on X and I'll help you out.
Ping me on XThe bucket isn't going to patch itself.
Turn usage data into churn signals and personalized outreach.
Usage drops. Key features go untouched. A credit card gets declined. Retain scores every account in real time.
Email, Slack, Discord, or the dashboard. The alert names the reason. The exact signals that tripped the score.
Retain drafts a personalized re-engagement message based on the account's signals. Copy it, tweak it, send it from your tool of choice.
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 management.
Things were going well, at least on the surface. Customers signing up every week, but some clinics would explore the product for some days, then go quiet.
No complaints. I never understood why.
And that was killing my growth. Acquiring customers wasn't enough if I couldn't understand why existing ones were leaving.
So I went deep into the problem.
I started studying churn, retention, and customer behavior while analyzing usage patterns for signals that appeared before churn: incomplete onboarding, low activity, key features never used, incomplete payments.
Track which customers re-engaged after your action, and how much MRR Retain just saved.
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> ▋As I started connecting those signals, things became clearer. I could finally identify struggling customers early enough to reach out before they quietly disappeared.
And at the same time, those same signals started exposing the holes in my product itself.
I wasn't just reducing churn anymore. I was finally understanding what needed to improve.
And when I started talking to other founders, I realized the problem wasn't unique to me. So many SaaS companies were flying blind, losing customers without understanding why.
Literally setting money on fire. Incredible business strategy, honestly.
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.