I built Beatchurn to fight churn at my SaaS job and I'm opening it up for early access
Hey everyone đź‘‹
I’ve been working as a Manager of Operations at a logistics SaaS company for the past few years. One of the biggest silent killers we deal with? Customer churn.
So I built something to fix it—first for my team, and now for anyone who wants it.
👉 Beatchurn is a lightweight customer success tool that:
Shows you which users are at risk
Helps you understand what’s going wrong
Gives you clear actions to reduce churn
I’m keeping it simple, no bloat or 10-seat Salesforce-style dashboards. Just clarity and insights for lean SaaS teams or solo founders.
🚀 It's live at https://beatchurn.com — happy to give feedback-driven access to anyone here!
I’d love any feedback, questions, or ideas you might have 🙏
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Good on ya
Thank you Akoviantech.
good luck with this project! One of the most important metrics in a business, churn...
I suffered a lot on my previous company and made me even questioned if the product we were selling had any value at all.
The value you can show from a service or product while selling it, it can totally be different than the one it really gives to an onboarded client.
The UI looks amazing! Is there a way to integrate the tool with manual entries? Like, some of our clients pay manually and we entry it into our accounting software. Can we integrate it into your software?
Thanks! Appreciate the kind words 🙏
Right now Beatchurn works best with tools that have automated usage or billing data, but I totally get where you're coming from. For manual payment entries, we could definitely look at creating a simple API or even a spreadsheet upload to handle that.
Out of curiosity—how do you usually track those manual payments or client activity? If you’re open to sharing a bit more, I’d love to explore how we could support it directly.
Great job with this. Worked on a churn prevention tool in a previous role, and they can bring a lot of value to businesses if done right. Just curious, what are you basing the churn risk on? payments, usage, time,...
Really appreciate that — and great to hear you've worked on churn tools too.
Right now, Beatchurn mainly looks at usage patterns + time-based behavior, with payment status as a fallback signal. For example:
I'm working on making this logic more flexible, so teams can define what “at-risk” means for their product.
If you’re up for it, I’d love to hear how you approached churn detection in your previous role. Always curious what signals worked best in the wild.
Sounds interesting. Like the flexibility aspect. One thing I've seen is identifying effective churn indicators improves as general platform usage grows; ie. as you get more data and experience.
In the role in question, we built a tool to help Shopify merchants retain churning subscribers. We approached churn detection at 2 levels, cohort(grouping per initial order period) based and individual based.
For cohort, we looked at time elapsed since first order as well as past churn rates per cohort. On the individual level, we looked at factors like subscription reorder period and order value, customer LTV, products per order(some product combos had higher churn rates), past payment issues, order cancellation reasons(collected via cancellation surveys), among others