The Exeechain blog
Practical guides on SaaS churn, retention benchmarks, customer health scoring, and net revenue retention - written for the CS leaders, founders, and RevOps people who actually ship the work.
What renewal management means, the renewal lifecycle as a five-stage pipeline (review at 90 days, classify at 60, resolve, commercial at 30, confirm), how to run it in Salesforce and what Salesforce cannot see, the four renewal KPIs with formulas, and the three ways a renewal process looks fine while losing accounts.
Read the postHow to build a SaaS retention curve from billing data (cohorts from first payment, one row per acquisition month), the three shapes (drop then flat, steady decline, cliff at renewal) and what each means, the customer curve against the revenue curve, and the four mistakes that produce a false curve.
Read the postThe seven SaaS onboarding metrics worth tracking (time to first value, activation rate, setup completion, time to activation, early active use, breadth of adoption, 90-day cohort retention), which two predict churn and which five explain it, why setup completion is not activation, and why the numbers only mean anything by cohort.
Read the postWhat churn management means, the four churn types a programme has to split (voluntary, involuntary, downgrade, silent) with the signal, owner and fix for each, the measure-predict-act-attribute loop, seven strategies ranked by return on effort, and the three numbers that show whether it is working.
Read the postGross revenue retention is the share of a cohort's recurring revenue still paying at the end of a period after cancellations and downgrades, with expansion left out. Why it can never exceed 100%, whether it includes downsell, upsell and new customers, how it differs from net dollar retention, the formula with a worked example, and the benchmarks by segment.
Read the postHow to calculate customer retention rate (CRR) correctly, the difference between customer retention and revenue retention, the six retention KPIs worth tracking and the formula for each, what a healthy SaaS retention curve looks like by cohort, and the two mistakes (new customers in the numerator, trials in the cohort) that inflate the number.
Read the postThe cost of retaining a customer against the cost of acquiring one, with the formulas for each, a worked example on a real-looking SaaS book, what the widely quoted 5x figure actually rests on, when acquisition is still the right spend, and how to compute the cost of a churned customer so the two can be compared on the same line.
Read the postA quarterly business review agenda built around the customer's outcome rather than the vendor's roadmap: executive summary, the goal and where it stands, wins the customer can repeat internally, risks with owners, the next-quarter plan, and the renewal. With timings, the questions to ask, the slide-by-slide outline, the cadence by account size, and the three mistakes that make QBRs get cancelled.
Read the postAggregate churn hides when customers leave; a cohort table shows it. How to build one from billing data (columns, rows, what goes in each cell), how to read the retention curve it produces, the three shapes the curve takes and what each means, which metrics to derive from it, and a template structure you can reproduce in a spreadsheet or SQL.
Read the postMost SaaS churn that happens in the first 90 days was decided in the first 30. The four causes of early-life churn (no activation, wrong buyer, single-user adoption, silent billing failure), the signal for each that shows up days before the cancellation, what to do in the first week and the first month, and how to measure whether it worked.
Read the postThe KPIs a customer success manager should be measured on, why most CSM scorecards measure activity instead of outcomes, the formula and a target range for each of the eight, how responsibilities differ from account management and support, and the ratio question (accounts per CSM) with the honest answer.
Read the postRevenue leakage is recurring revenue a company earned and never collected, or lost without a decision: failed payments that were never retried, cards that expired before renewal, discounts that never ended, seats used but never billed, and renewals that lapsed unnoticed. The seven causes, the formula, a worked example, and how each one shows up in Stripe or any billing system.
Read the postA complete customer success plan for a single B2B SaaS account, filled in: the outcome the customer bought the product for, stated as a metric with a baseline, a target, a unit and a deadline; the three milestones on the way; who owns what on both sides; the risk register; and the 30, 60 and 90 day checkpoints. Plus the blank template, and the three mistakes that make most success plans decorative.
Read the postExpansion revenue is the recurring revenue existing customers add through upgrades, seats, usage and price, and it is the only term in net revenue retention that can push the number above 100%. The definition, the formula and its rate, how it differs from new business and reactivation, and the four signals that find it before a customer asks: a seat gap, team growth, a feature limit hit, and a goal achieved.
Read the postThe eight churn terms SaaS teams use interchangeably and should not: churn rate and retention rate, customer (logo) churn and revenue churn, gross and net, monthly and annual, negative churn, attrition, and how churn rate feeds customer lifetime value. Each with its formula, the conversion between them, and the mistake each one invites.
Read the postThe net dollar retention figures Snowflake, Figma, Datadog, Cloudflare, Atlassian, DocuSign, Asana and CrowdStrike reported in their most recent 2026 results, each with its source and as-of date, and the definition behind each one. Figma counts only customers above $10K ARR. Snowflake uses a two-year cohort. DocuSign counts direct customers only. The spread from 97% to 139% is partly definition, and this post shows how much.
Read the postThe definitional questions about NRR that every SaaS team argues over at least once: does it include churn, new customers, price increases, can it be over 100%, how it differs from gross revenue retention and net dollar retention, how to calculate it on a cohort, and what good looks like by stage. With the formula, a worked example, and the three ways the number gets inflated.
Read the postStripe knows exactly who cancelled, who stopped paying, and who downgraded, but the churn rate you read off the dashboard is subscriber churn over a trailing window, which is rarely the number a SaaS team needs. How to compute logo churn, revenue churn and involuntary churn from Stripe data, the six mistakes that quietly distort each, and one API change that silently broke renewal dates for everyone.
Read the postThe 29 decline codes that decide what happens next on a failed subscription payment, sorted into five classes: retry it, ask for a new card, the bank refused without saying why, stop entirely, or unknown. What each one means in plain English, whether to retry, when, and which ones must never get an automated email.
Read the postThe five dunning emails a subscription business should send after a card fails, on day 0, 3, 7, 14 and 21, with the exact copy for each, three variants depending on what the bank actually said, and the rules that stop a recovery sequence turning into harassment.
Read the postShield, Multiplier, Command, or Enterprise - a detailed guide to who each Exeechain plan is built for, the exact benefit each one delivers, and how to pick by your team size, customer count, and what's actually costing you revenue right now.
Read the postStripe-only, no integrations at all, migrating from Gainsight, PLG with thousands of accounts, spreadsheet-run CS: whatever your stack looks like, here is how to evaluate the sample book, choose a paid plan for your own data, and connect the right sources in 10 situations.
Read the postCustomer success automation has moved past reminder emails and CRM rules. Here is what an Retention Agent actually does, watch every account, decide, act through a veto window, then learn, and how to know it works before you trust it.
Read the postA practical look at Exeechain, the customer success platform for SaaS teams that names every failed payment, expiring card and slipping renewal on your own book, then drafts the save, automates QBRs, and proves the recovery against billing.
Read the postLogin frequency, NPS drift, champion role changes, support tone, billing failures, competitor mentions. The six signals that surface SaaS churn risk weeks before cancellation, and how to act on each.
Read the postThe published SaaS churn and retention benchmarks, each with the organisation that measured it, the sample size and the date. Why the two biggest samples disagree, and how to calculate your own number correctly.
Read the postWhat customer health scores are, what signals to include, why most homemade scores get abandoned within a quarter, and how AI changes the math. A practical guide for SaaS CS teams in 2026.
Read the postCompare directly
If you're evaluating customer success platforms specifically, the comparison pages below have the side-by-sides.
First scores in 15 minutes. Every connected signal read within 24 hours. From $299/mo. AI churn prediction, retention playbooks, QBR automation.
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