The ChurnLens learn hub is a reference library for the metrics, frameworks, and failure modes that matter when you are buying a SaaS business. These are not operator-flavored explainers about 'reducing churn' in a business you already run — they are buyer-side write-ups focused on the question acquirers actually face: is the churn number the seller just showed you real, and if not, how much is the revenue actually worth? Each article covers the definition, the formula, the benchmark range, and — most importantly — the specific way sellers present each metric in a way that flatters the truth.
Every SaaS churn benchmark you have ever read assumes a consistent definition. In a real deal, you do not get one. Sellers define churn in the way that makes their number smallest: annual-plan customers who have not renewed are 'still under contract,' trial-to-paid fall-off is excluded from logo churn, expansion revenue is netted against gross churn without disclosure, and customers who downgraded to a free plan are counted as 'retained.' A 1.5% monthly net revenue churn figure computed under one definition can be a 6% figure under another. Before you benchmark, you have to standardize — and that means understanding exactly which inputs the seller used. The articles below walk through each metric from first principles so you can reverse-engineer the number on the page in front of you, not just compare it to an industry average.
The headline metric sellers quote — and the one most likely to hide logo decay behind expansion revenue.
The metric that tells you whether customers are actually leaving, before expansion revenue masks the loss.
None of them in isolation. Net revenue retention (NRR) is the headline number sellers quote because expansion revenue masks logo decay, but NRR alone tells you nothing about whether growth is coming from your best customers expanding or your worst customers failing to leave. The minimum viable diligence set is: gross logo churn (are customers leaving?), gross revenue churn (are the leavers small or large?), NRR (is expansion covering the loss?), and cohort retention by acquisition vintage (is the product getting better or worse at retaining newer customers?). ChurnLens computes all four from the revenue ledger so the definitions are consistent.
For SMB-focused SaaS, under 3% monthly gross logo churn is defensible; for mid-market, under 1.5%; for enterprise, under 0.8%. But the absolute number matters less than the trajectory and the gap between reported and reconstructed churn. A target reporting 2% monthly churn whose underlying ledger implies 4% is a far worse acquisition than a target honestly reporting 3% with a stable cohort trajectory. The benchmark is a sanity check; the reconstruction is the diligence.
Most SaaS metrics content is written for operators trying to improve their own numbers. The ChurnLens learn hub is written for the person on the other side of the table — the buyer who does not control the data, has a finite exclusivity window, and is relying on a number the seller computed. Every article is framed around verification: how the metric is calculated, how it is commonly massaged, and what raw inputs you need to recompute it independently.
ChurnLens — buyer-side SaaS revenue-quality and churn-risk due diligence. Learn more →