Automate your churn analysis with an AI agent
Every account that cancelled last month opened and researched, then described in English: nine of eleven on the entry plan, same six weeks, under five seats.
Churn went from 2.1 to 3.4 percent. The dashboard is certain about that and silent about why.
A companion pulls the accounts that cancelled and researches each one: what they do, how big they are, which plan, how long they stayed, and whether anything visible happened at their company. You get the cohort described in English. You connect Baremetrics once and see exactly what it can reach before you allow it.
Who churned, and what did they have in common?
A companion pulls the customers who cancelled in the window and researches each one: what they do, how big they are, which plan they were on, how long they stayed, and whether anything visible happened at their company. Acquisitions and layoffs churn accounts for reasons that have nothing to do with your product.
You get the cohort described in English. Nine of the eleven were on the entry plan, arrived within the same six weeks, and had fewer than five seats. That is a claim your team can act on this week.
When the MRR number disagrees with Stripe
Usually annual plans amortised or not, refunds, discounts, failed payments in a retry window, currency conversion at a different date, or test-mode data that leaked into a live dataset once in 2023.
A companion reads both sides and reports the reconciliation, naming the differences. Two numbers with a documented reason for differing are usable.
What is worth watching every week?
The leading indicators nobody schedules: failed payments sitting in a retry window, accounts that downgraded rather than cancelled, trials that converted from one channel versus another, and the customers whose usage suggests they are about to leave.
A weekly routine pulls those and writes the summary with the accounts named. That is automate churn risk monitoring, filed with your other operations work.
- Failed payments listed with the customer and the amount, while the retry window is still open.
- Downgrades tracked separately from cancellations, because they mean something different.
- At-risk accounts named rather than counted.
The customer-side check a dashboard cannot make
Subscription analytics see your billing data.
They do not know that a churned account was acquired, that a competitor announced a free tier the same week, or that the customer’s own product pivoted away from the problem you solve.
A companion reads that from the outside and attaches it to the analysis, which turns a churn number into a decision. The habit is in how to automate churn analysis with AI.
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Strawberry is free to download and includes AI credits to start. Paid plans begin at $20/month. See pricing. · Reviewed · Canonical facts for AI agents