The Churn Blog

Practical strategies, metrics deep-dives, and hard-won lessons on reducing SaaS churn. No fluff, just stuff that works.

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Why Your NPS Is Lying to You About Churn (2026)

NPS feels like a retention metric. It is not a reliable one. It is lagging, biased by who bothers to respond, and a poor predictor of who actually renews. Here is why, and what to track instead.

Jul 9, 2026 Read more →

Strategy 8 min read

When Should You Hire a Head of Retention? (2026)

Most SaaS teams hire for retention too late, after churn has already compounded, or too early, before anyone can use the role. Here is an honest readiness check and what the role actually does.

Jul 8, 2026 Read more →

Strategy 6 min read

How to Use AI to Write Retention Copy

AI-written retention copy performs 3-5x better than generic templates when done right and worse than templates when done wrong. Here are the specific prompts, guardrails, and workflows that produce copy that actually retains customers.

Jul 7, 2026 Read more →

Strategy 10 min read

Should You Raise Your SaaS Prices? (2026 Guide + Calculator)

Most SaaS founders undercharge and fear a price increase will spike churn. The math usually says otherwise. Here is when to raise prices, how to do it without a churn spike, and a calculator for the breakeven.

Jul 7, 2026 Read more →

Strategy 6 min read

Build vs Buy: Churn Prediction (Decision Guide)

A custom churn prediction model gives you better accuracy but takes 3-6 months to build. Off-the-shelf tools ship in a week but generalize poorly. Here is the decision framework based on your ARR, data volume, and engineering capacity.

Jul 7, 2026 Read more →

Strategy 6 min read

Should You Offer Annual Plans? (SaaS Decision Guide)

Annual plans reduce churn 3-7x but they also delay revenue recognition, lock in customers you might want to lose, and complicate refunds. Here is the framework for deciding, plus how to price the discount.

Jul 6, 2026 Read more →

Strategy 9 min read

How to Predict Churn Without ML (Rules That Work)

You do not need a data science team to predict churn. A weighted rule-based score built from four signals catches most churners 30-60 days out, and your CSMs can actually explain why an account is flagged. Here is how to build one.

Jul 6, 2026 Read more →

Strategy 9 min read

Using AI to Find the Involuntary Churn Bugs Bleeding Your MRR

A big share of SaaS churn is involuntary and technical: a failed webhook, a dropped usage event, a subscription-state bug. Nobody sees it because nobody is looking. Here is how a frontier model finds it.

Jul 5, 2026 Read more →

Strategy 9 min read

How to Build an At-Risk Account Triage Agent (2026)

A frontier model can do the first-pass read on every at-risk account overnight and hand your CSMs a ranked save-list by morning. Here is exactly what to build, what data it needs, and the honest limits.

Jul 5, 2026 Read more →

Strategy 11 min read

Claude Fable 5 for Churn: What Older Models Could Not Do

Claude Fable 5 is Anthropic's most capable model yet. Here is the honest read on what a frontier model like it can actually do for churn work that older models could not, where it changes nothing, and whether it is worth the price.

Jul 4, 2026 Read more →

Strategy 8 min read

The 14 Best SaaS Retention & Growth Newsletters (2026)

The retention, growth, and customer-success newsletters I actually read in my inbox, grouped by what each is good for, with honest notes on who each is for and which are worth paying for.

Jul 1, 2026 Read more →

Strategy 7 min read

How to Predict Churn From Your Stripe Data

Your Stripe billing data already predicts churn 30-60 days before it happens. Most teams never look. Here is the analysis framework, the signals that matter, and how to set up automated alerts without a data team.

Jun 25, 2026 Read more →

⭐ Featured

Tools to put these strategies into practice

The retention tools I recommend most often.

All tools →

ChurnHalt

Analytics & Insights

You're finding out about churn after it happens. ChurnHalt analyses your Stripe history, finds the patterns behind cancelled subscriptions, and flags who you should focus on.

Retention Email Snapshot

resurrection

Retention & Loyalty

A 15-minute diagnostic call that surfaces exactly where your lifecycle emails are losing users. $249 value - ChurnTools users pay $149 with code CHURNTOOLS40.