Two metrics that should agree — but when they diverge, the gap reveals exactly where the risk is hiding in a SaaS acquisition target.
Logo retention counts how many customers stay. Revenue churn counts how much revenue stays — and the gap between them reveals exactly where risk is hiding. A seller might show 90% logo retention, but if the 10% of lost logos were the highest-value accounts, that number is actively misleading. The divergence between these two metrics is one of the most common traps in buyer-side SaaS due diligence, and ChurnLens flags any gap wider than 5 percentage points automatically.
Logo retention and revenue churn tell two different stories. High logo retention with high revenue churn means customers are downgrading — your base is shrinking from within. Low logo retention with low revenue churn means you lost small accounts but kept the whales — but whale churn will spike when those contracts expire. ChurnLens flags divergence patterns above 5 percentage points automatically.
| Metric | Measures | Tells You | Hidden Risk |
|---|---|---|---|
| Logo Retention | % of customers retained over a period | How sticky the product is | Losing high-value logos looks same as losing $5/mo users |
| Revenue Churn | % of MRR lost to cancellations + downgrades | How the revenue base is trending | Downgrades are invisible; expansion masks decay |
| NRR (Net Revenue Retention) | (Starting MRR + Expansion - Churn) / Starting MRR | Whether the revenue base grows organically | Expansion can hide massive contraction — always check both |
This means you're keeping most customers but losing revenue from the ones you keep. Caused by:
This is the most insidious pattern because the headline retention number looks great. ChurnLens flags it by computing revenue churn side-by-side with logo retention and highlighting any gap wider than 5 percentage points.
You're losing many customers but the revenue impact is small. This usually means the churn is concentrated in low-value accounts — a problematic signal in itself if those low-value accounts are supposed to upgrade over time (the "land and expand" strategy isn't working).
The most dangerous trending pattern. The company has improved product stickiness (fewer people leave) but existing customers are paying less. This often precedes a structural price cut or feature commoditization — and it won't show in a standard CIM.
From a single subscription CSV upload, ChurnLens computes and displays:
Upload a subscription CSV and ChurnLens computes logo retention, revenue churn, NRR, and the divergence delta automatically.
Upload CSV →Sellers hide churn in 7 ways. Most buyers catch 0. Get the full checklist + a sample report on a real $48K MRR case study.
Get the free checklist →Hidden churn is revenue decay that headline metrics conceal: customers on annual plans who have already stopped using the product, paid accounts sitting inactive, or revenue concentrated in a few logos about to leave. A SaaS business can show flat MRR while its real retention is collapsing. ChurnLens surfaces these signals before you buy, so you price the deal on true revenue quality.
ChurnLens analyzes five dimensions: revenue concentration, logo retention, annual-plan churn risk, inactive paid accounts, and MRR decline patterns. Each is weighted into a single 0-100 revenue-quality score benchmarked against comparable SaaS businesses. The score tells an acquirer whether reported MRR is durable or propped up by customers who are one renewal away from leaving, all before the deal closes.
Purchase price is usually a multiple of recurring revenue, so overstated retention directly inflates what you pay. A business with 20% hidden annual-plan churn is worth far less than its MRR implies. Buyers who skip churn diligence discover the decay only after closing, when it is too late to renegotiate. ChurnLens gives that visibility during the evaluation window instead.
Watch for revenue concentrated in a handful of accounts, a widening gap between signups and active users, annual contracts that never renew, and MRR that grows only through discounting. Each pattern signals fragile revenue. ChurnLens automatically flags these red flags from uploaded revenue data and ranks them by how much they threaten the durability of the recurring revenue base.
| Risk dimensions scored | 5 |
|---|---|
| Revenue-quality score range | 0-100 |
| Built for | Acquirers, PE, founders |
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