Score first, act in your CRM
Review the ranked list and the save plays in Churnora, then open the account in whatever tool your team uses for outreach. The two are independent by design.
Product
Know who is about to leave, before they cancel
Churnora scores every customer from real usage data, ranks the accounts worth saving this week, explains each risk in plain language, and drafts the save play. The warning arrives while there is still time to act.
Monday morning
The accounts to work this week, ranked
Every account in your book, scored and sorted by churn risk. The riskiest account is at the top. Revenue-at-risk breaks ties, so a large at-risk account never sits below a small one. The score comes from a behavioral ML model, not a heuristic: the same customer data always produces the same number.
45%and above: at-risk
10%to 44%: worth watching
Below 10%%: healthy
Your book
Harrowgate Systems
$4,200/mo MRR
90%
Merrow Health
$3,100/mo MRR
81%
Corvid Analytics
$1,800/mo MRR
17%
Northgate Robotics
$2,600/mo MRR
2%
Scored from your usage data
Harrowgate Systems
90% at-risk
Sign-in recency
Last sign-in 31 days ago
Usage trend
Sign-ins down 79% month over month
Payment health
2 failed payments in 90 days
Factors
Every number traces to a row in your data
The model scores eight behavioral features: sign-in recency, sign-in volume, usage trend, feature breadth, seat utilization, support load, payment health, and tenure. Each factor shown to a human traces to a concrete number in that customer's own record. "Sign-ins down 79% month over month" is the actual ratio, not an approximation.
Factors are sorted by how much they pushed the score for that specific account, so you know which signal matters most this week, for this customer.
Save play
A drafted email, ready to send or edit
For every at-risk account, Churnora drafts a save play: an email, a retention offer suggestion, and call notes. The language model reads the top factors the ML model computed, not a generic churn description, so the draft references what is actually happening with this account.
The draft is a starting point. Copy it, edit it, or ignore it entirely. The save play never sends itself.
Drafted save playHarrowgate Systems
SubjectQuick check-in, Harrowgate
Hi Marcus,
Noticed your team's activity has been significantly quieter over the past month, and two recent payment hiccups also caught my attention. I wanted to reach out directly rather than wait.
Can we get 20 minutes this week to make sure you're getting value? Happy to bring in our solutions team for a proper review if that would help.
Let me know what works.
CSV columns recognized
companyor account, name
planplan tier on your product
mrror monthly_revenue, amount
signup_dateor created_at, joined
last_login_daysor days_since_login
logins_30logins in the last 30 days
logins_prev_30prior 30-day window
features_useddistinct features, 30 days
seats_paidseats on the contract
seats_activeseats that signed in
tickets_90support tickets, 90 days
payment_failures_90failed payments, 90 days
Column names matched loosely. Most exports from billing or product analytics tools import without renaming headers.
Import
Drop in a CSV, or start with the sample book
Column names are matched loosely, so an export from your billing or product analytics tool usually works without renaming a single header. Scoring runs in-process: no queue, no waiting for an async job. By the time the confirmation screen appears, every account has a score.
Not ready to use your own data yet? Load the sample book: 48 believable accounts covering the full range of behaviors, one click. The same model scores the sample as it would score your real data.
CSV and sample book, both free
Trends and history
Watch risk move, week over week
On Growth, Churnora stores each scoring run. You can see whether an at-risk account is getting riskier or stabilizing, whether a save play worked, and which accounts moved into the watch band this week from healthy.
The weekly saves list on Growth surfaces the accounts that crossed into at-risk since the last scoring run, so your team knows exactly what is new rather than re-reading the whole board.
Risk movement, past 4 weeks
Harrowgate Systems90%
Corvid Analytics17%
Northgate Robotics2%
Growth plan feature
Where it fits
Works alongside your CRM and CS tool
Churnora is not a replacement for Salesforce, HubSpot, Gainsight, or Intercom. It is the early warning layer that tells you who to focus on, so your existing tools can do their job.
Export scores and factors
On Growth, export the full scored book as a CSV: company, risk score, band, top factors, revenue at risk. Import into your CS tool, a spreadsheet, or a dashboard.
API access on Scale
On Scale, scores and factors are available via API so your engineering team can pull them directly into your product, your internal tools, or your data warehouse.
Not opaque, not a black box
Every score is accompanied by the behavioral factors that produced it. A number without a reason is not useful; a number with a reason is a brief for a conversation.
Drafted plays, not required plays
The drafted email and call notes are a starting point, not a script. Your CS team knows the customer better than the model does. The draft saves 10 minutes; the conversation is yours.
Export and delete anytime
Your data is yours. Export your book from Settings at any time, or delete your workspace entirely. No ticket required, no waiting period.
Score your customers free
Up to 200 customers scored per month, full model, every factor, a drafted save play for each at-risk account. No card required.