# Churn Prediction Models: A No-ML Starter for SaaS Founders

DevFeed: [Churn Prediction Models: A No-ML Starter for SaaS Founders](<https://devfeed.tech/articles/churn-prediction-models-a-no-ml-starter-for-saas-founders-9759.md>)

Original publisher: [Read original article](<https://dodopayments.com/blogs/churn-prediction-models-no-ml/>)

Author: Ayush Agarwal

Published: 2026-05-04T00:00:00Z

Content type: tutorial

Language: en

Sources: [Dodo Payments Blog](<https://devfeed.tech/sources/dodo-payments-blog.md>)

Topics: [Software as a service](<https://devfeed.tech/topics/saas.md>), [data](<https://devfeed.tech/topics/data.md>), [SQL](<https://devfeed.tech/topics/sql.md>)

Tags: [churn](<https://devfeed.tech/tags/churn.md>), [data](<https://devfeed.tech/tags/data.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [models](<https://devfeed.tech/tags/models.md>), [retention](<https://devfeed.tech/tags/retention.md>), [saas](<https://devfeed.tech/tags/saas.md>), [sql](<https://devfeed.tech/tags/sql.md>)

## AI overview

A practical guide to building SaaS churn prediction without machine learning. It recommends a weighted score based on observable billing and product signals, producing per-customer risk scores that trigger retention actions before cancellation.

## Source excerpt

Build a working SaaS churn prediction model without machine learning. Signals, scoring, thresholds, and how to act on at-risk accounts before they cancel.