The failed-payment case is the one I would push hardest on. Involuntary churn and voluntary churn look identical in a Stripe export but they need completely different responses: one is a dunning and card-update problem you can usually recover, the other is a value conversation that started weeks earlier. Splitting those two apart is worth more than any blended churn number.
The scheduled-cancellation signal is the other one I would watch closely. The window between someone clicking cancel and the period actually ending is the only time you get a real conversation, and most teams never see it until the subscription is already gone.
Curious whether you surface how long a customer sat in an at-risk state before they churned. That lag is usually where the playbook lives.
Hey StartupBase. I built Bavlio because our own outbound kept failing for the same reason: the tools automate sending, not thinking. Every message read like a mail merge because it was one.
Bavlio researches each prospect first, then writes a message specific to that person, on email and LinkedIn from the same workspace. One subscription also covers the lead database, email finding and verification, and a unified inbox for replies.
Honest about the limits: it is one LinkedIn account per workspace today, so agencies running many senders are better served elsewhere. Happy to answer anything about how the research loop works.