Know which revenue you’re about to lose. And why.
Prolpy connects your billing, CRM and product data to surface at-risk accounts, show the evidence behind each one, and tell your team who to call first.
What Monday morning looks like with Prolpy
One weekly report: how much revenue is at risk, why each account is on the list, and who to contact first. Shown here with sample data.
The data exists. The answer doesn’t.
Scattered by default
Billing lives in Stripe, relationships in HubSpot, product usage in PostHog. Each tool shows a slice. None of them can tell you why an account is drifting.
Three teams per answer
Answering “why did they churn?” takes a data pull, three teams and a week of Slack threads. So it happens quarterly — after the damage, not before it.
Late by definition
By the time the analysis lands, the decision inside your customer’s company has already been made. You hear the real reason in the offboarding call, when it can’t change anything.
How it works
01
Connect
Read-only access to Stripe, HubSpot and PostHog. Or start with a CSV export.
02
Investigate
Prolpy links accounts across sources, detects risk signals, and builds an evidence-backed case for each flagged account.
03
Act
A weekly Revenue at Risk report tells your team who to contact first — and tracks whether it worked.
Evidence, not black-box scores.
A risk score you can’t interrogate is a guess with a confidence problem. Every conclusion Prolpy shows comes with its case attached: the source data it rests on, the exact time range it covers, a stated confidence level — and the alternative explanations we considered, including the ones we couldn’t rule out.
If the evidence wouldn’t convince your CS lead, we don’t show the flag.
Stop finding out about churn from cancellation emails.
Now onboarding design partners — B2B SaaS, $2–30M ARR.