This is GOLD for subscription-based brands. The breakdown of churn reasons is spot on especially the part about “positive churn” (never thought of it that way before). That 8-10% benchmark is super insightful, but I’m curious, have you seen cases where brands manage to push it even lower without just locking people into longer commitments?
Thanks so much, really appreciate it. I definitely think there are cases where brands have pushed it lower (especially when the subscription price isn't high and it's an ongoing need). Personally I don't think I've ever seen it below 5% monthly churn.
Great insights, Daphne! The breakdown of churn reasons is spot on especially the part about product frequency. The delicate balance between too frequent and too infrequent deliveries really can make or break subscription retention.
Have you seen any innovative strategies where brands use predictive analytics or AI to automatically adjust delivery frequencies based on customer usage patterns? Would love to hear if there are any standout examples you've come across.
Hi Noah, thanks appreciate it. So I've seen ecommerce brands use tools like https://www.reloapp.co/ to recommend reordering, but never automatic delivery adjustments. I think this is tricky with physical products where usage can vary and also you don't know how much stock they have left.
This is GOLD for subscription-based brands. The breakdown of churn reasons is spot on especially the part about “positive churn” (never thought of it that way before). That 8-10% benchmark is super insightful, but I’m curious, have you seen cases where brands manage to push it even lower without just locking people into longer commitments?
Thanks so much, really appreciate it. I definitely think there are cases where brands have pushed it lower (especially when the subscription price isn't high and it's an ongoing need). Personally I don't think I've ever seen it below 5% monthly churn.
Great insights, Daphne! The breakdown of churn reasons is spot on especially the part about product frequency. The delicate balance between too frequent and too infrequent deliveries really can make or break subscription retention.
Have you seen any innovative strategies where brands use predictive analytics or AI to automatically adjust delivery frequencies based on customer usage patterns? Would love to hear if there are any standout examples you've come across.
Hi Noah, thanks appreciate it. So I've seen ecommerce brands use tools like https://www.reloapp.co/ to recommend reordering, but never automatic delivery adjustments. I think this is tricky with physical products where usage can vary and also you don't know how much stock they have left.