Patrick Miles

We recently saw a bump in churn and assumed our pricing was off. But when we looked deeper at the canceled accounts, most of them were users who bought on impulse during a promo and never really fit our core use case in the first place.

It made me rethink whether price sensitivity is the real issue or if we re just attracting the wrong audience.

When your churn spikes, how do you determine if it's a value fit problem or a pricing structure issue?

When a free user bounces, it's a data point. When a paying customer cancels, it feels personal.

We realized most cancellation feedback wasn't about bugs it was about our tool failing become a daily habit. Fixing workflow fit is harder than shipping code.

Does the sting of churn ever go away, or do you just analyze exit feedback faster?