Stopping Subscription Churn with Charles Rosenblatt, CEO of Butter | Episode 478 - Leaders In Payments

Topics in this episode

fintech Churn payments recurring payments

Episode notes

Your churn dashboard might be accusing your product of something your payments stack actually did. When a renewal charge fails, customers can disappear even if they still want what you sell, and that “involuntary churn” quietly drains ARR, wrecks retention analysis, and forces teams to make the wrong fixes. In this episode I sit down with Charles Rosenblatt, CEO of Butter , to unpack how subscription businesses can recover revenue from failed card payments using machine learning. We get specific about why many dunning programs rely on simple retry schedules, and how an ML-driven approach can choose the right moment for each invoice based on patterns in card and issuer behavior. Charles also shares how Butter works globally and plugs in as an abstraction layer on top of existing processors, so merchants can improve recovery without ripping out their current setup. Then we look ahead: Butter is expanding from reactive recovery to predictive modeling that helps companies anticipate payment failures before they happen.

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