Shift your perspective on customer retention.
We build ML models and dashboards that show you which customers are about to leave, why, and what you can do about it.
Churn is a data problem.
When customers leave, the revenue loss is obvious. What most companies miss is everything else that walks out the door with them. And by the time the pattern is visible in a quarterly report, it's been happening for months.
68%
of customers leave due to perceived indifference
5x
more expensive to acquire a new customer than retain one
$1.6T
lost by U.S. companies each year to customer churn
What we deliver.
We do the modeling, build the dashboards, and train your people to use them.
Custom ML Models
We look at your customer data and pick the right model for the problem. Sometimes that's logistic regression, sometimes it's gradient-boosted trees. Depends on your data and what questions you need answered.
Visual Dashboards
Dashboards your team will actually open every morning. We design them so the person reading them doesn't need to know what a confusion matrix is.
Training & Handoff
One day to walk your team through everything we built. Then a full week working side by side with someone on your team until they can run it without us.
How it works.
Three phases. Usually a few weeks start to finish.
01
Discovery
We spend time with your data and your team. What does churn look like for you? What are you already tracking? What's missing?
02
Build & Deliver
We build the model and the dashboard, then come in for a day and walk your team through everything. What it does, how to read it, where the numbers come from.
03
Train & Support
We stick around for a week and work alongside whoever's going to own this day to day. After that, we're available if you need us, at a lower rate.
Who we are.
We're software engineers. We got tired of watching companies guess at why customers were leaving when the answer was sitting in their data.
Your Name
Co-founder & Engineer
Writes code, trains models, argues about feature importance over coffee. Spent years building data pipelines before deciding to point them at churn.
Partner Name
Co-founder & Engineer
Full stack engineer who's spent too much time watching people ignore dashboards nobody asked for. Now builds the ones they actually open.
Let's talk.
Tell us what you're dealing with. We'll tell you if we can help.
We'll get back to you within 24 hours.