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 $0 — 3 assessments/month
- Pro $19/mo — Unlimited, save history
- Team $49/mo — Shared 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.