Blog

Definitional and how-to posts that help search engines and humans understand ChurnGuard.

What it does

Answer a few questions about your SaaS and get a churn-risk score with the top 3 levers to pull. Built for founders who'd rather prevent churn than explain it to investors.

Who it's for

Founders who want an early, explainable churn read and a short action list.

Input → output

MRR, customers, churn %, NPS, tickets → 0–100 risk score + top 3 retention levers.

Pricing
  • Free $03 assessments/month
  • Pro $19/moUnlimited, save history
  • Team $49/moShared workspace
Definitional · FAQPage

What is ChurnGuard?

ChurnGuard asks a few questions about your SaaS and returns a 0–100 churn-risk score with the top three retention levers to pull. It is built for founders who want an early, explainable read on churn rather than a black-box model.

How-to

What the ChurnGuard risk score means

The score combines MRR, customer count, churn %, NPS, and ticket volume into one number framed against similar SaaS, with a low, moderate, or high verdict. It is an explainable estimate you can track over time, not a forecast of cancellations.

How-to

What are the ChurnGuard retention levers?

ChurnGuard returns the three highest-leverage actions for your inputs, each with a plain-English reason. Typical levers cover onboarding, NPS and feedback loops, and support load — the “what to do next” without a retention textbook.

How-to

How many questions does ChurnGuard ask?

Only five light inputs: monthly MRR, active customers, monthly churn %, NPS, and support tickets per customer per month. The form is quick by design, and rough numbers still produce a usable read.

How-to

Is the ChurnGuard result explainable?

Yes. Every lever ships with a plain-English reason, and the score shows which inputs pushed risk up, such as high churn % or low NPS. You can see why the number moved, which helps in co-founder and investor conversations.

Comparison

ChurnGuard vs a full churn model

ChurnGuard is for founders who want a fast, explainable churn check and a short action list. A full churn model needs historical event data and engineering; ChurnGuard trades that depth for speed and clarity, for gut-checks rather than production modeling.