Case Study
Cohort Explorer
Filter and segment customer cohorts, then export ready-to-use target lists.
The problem
Multiple brands, multiple cohort types, and constant report pulls. Every time someone wanted to understand a cohort — who's in it, how they're moving, where the opportunity is — it was another report, another analysis pass, another mad dash to make sense of raw data.
How to think about this problem
Cohort work gets messy because people think they are asking for a list.
They are usually asking for a decision.
Who should we target? Who should we suppress? Who moved? Who is eligible? Why did this account land here? What changed since last time?
A spreadsheet can answer some of that.
But every time you rebuild the spreadsheet, you also rebuild the logic. And every time the logic gets rebuilt manually, it can drift.
That is why cohort work needs a brain.
Not just a report. Not just a dashboard. A place where the rules, filters, assumptions, and outputs can live together.
The value is not just slicing the data.
The value is knowing the slice means the same thing tomorrow.
What it does
Connects directly to the raw data in real time and gives you one clean interface to slice the cohorts any way you need. No more pulling reports to figure out where the juice is.
How it works
Instead of exporting a report and rebuilding the analysis in a spreadsheet, it reads the live data and lets you filter the cohorts on demand — by brand, by type, by wherever you want to look.
- 01Live data
- 02Slice the cohort
- 03See where the opportunity is
Why it's helpful
The analysis that used to require multiple report pulls and a spreadsheet now happens in one place, on demand. You stop chasing the data and start using it.
See it
Screenshots and a walkthrough coming soon.