Startup Idea: Dynamic Data Analysis Tool for SaaS Business Payment Systems

Summary for idea #73
Startup idea to develop a software tool for SaaS businesses that brings dynamic, multi-faceted data analysis capabilities to payment systems like Stripe. The tool would allow users to apply various facets, filters and checkboxes to dig deeper into their data, beyond basic reports. For instance, it could help gain insights on customer trends based on time, discounts, LTV (Life Time Value), churn rates and more.
Original submission by someone willing to pay to get a problem solved (not AI)

I own a SaaS app. An important aspect of running my business is to understand the data in my payment system. In my case Stripe.

Services like Baremetrics and Profitwell are excellent for basic reports like LTV by-plan, Churn by-plan etc. but they don't let me dig deep into the data in a dynamic way.

I would like to be able to get unexpected insights by tinkering with the data using facets, filters & checkboxes.

For example, show me all customers who signed up in Jan 2014 and had a 20% discout. The report would then show me various stats about that subset of data such as LTV, Churn etc.

This would help me understand if people who are heavily discounted are likely to provide more revenue in the long term because the churn is lower. OR perhaps they don't take the product as seriously and subsequently churn faster.

This is just one example but there are infinite insights that can be gleaned if you can play with data in a completely dynamic way.

Access over 4k more startup ideas
(Instant, free access. No CC required.)
Saving...