Pydealist

About

Mon, 01 Jan 0001 00:00:00 +0000

I’m Nate Cheever. I build things that predict things.

I’ve done data work since 2013: Excel and macros first, then R, then Python after a data science bootcamp in New York in 2015. NLP has been my favorite part of it ever since. I’m almost entirely self-taught: no CS degree, no grad school, which mostly means I learned the fundamentals the hard way, by needing them.

Resources

Mon, 01 Jan 0001 00:00:00 +0000

A couple of short, free guides are in the works: a donor retention primer and a plain-language guide to knowing who your best supporters really are. Many cool things could be here in the future!

In the meantime, the fastest way to get something specific to your organization is to book 20 minutes and I’ll just tell you.

Search

Mon, 01 Jan 0001 00:00:00 +0000

What is attrition costing you?

Mon, 01 Jan 0001 00:00:00 +0000

Move the sliders to your actual numbers. This is deliberately crude: two inputs, no assumptions about your giving cycle, no model. It’s the back-of-the-envelope version of the question, and it’s usually enough to show whether the real version is worth asking.

Annual donor or member revenue

Estimated annual attrition rate

Lost to attrition this year

Recover 10% of that

Recover 25% of that

Recover 50% of that

A rough estimate, not a model. It sizes the pool; it doesn't name who's in it.