Not "SaaS buyers." Not "M&A professionals." One specific person with a name, a role, a fear, and a next deal on their mind. Here's who.
Alex, 38
Indie SaaS Acquirer • $500K–$5M deal range
Alex has bought two SaaS businesses before. The first one worked out. The second one had "2.3% reported churn" that turned out to be 9.4% — a $340K mistake they caught too late. Now they know: the seller's churn number isn't the truth, it's a negotiation starting point.
5 Fears
Overpaying by 6 figures because they trusted a seller-computed metric
Buying a dying SaaS where flat MRR masks declining cohorts
Discovering churn after close when there's no recourse
Missing concentration risk — 3 customers = 60% of MRR
Looking foolish to investors or partners for missing what was in the data
5 Desires
Confidence in the number — raw-data analysis, not seller summaries
A repeatable process for evaluating any SaaS deal in hours
Negotiation leverage — real churn data to push the price down
Revenue quality signal — is this MRR durable or fragile?
Speed — analysis in minutes, not a week of spreadsheet work
Three faces of the same buyer
Marc — The Solo Acquirer
Full-time professional, evaluating his first SaaS acquisition
"I have the cash and the conviction, but I don't have a finance team. I need a tool that does the deep-dive analysis for me."
ChurnLens fit: High. Alex's story (the $340K gap) is exactly what Marc needs to hear to justify buying a tool before his first deal.
Priya — The Micro PE Operator
Run a small holding company, evaluates 3-5 SaaS deals per year
"I've been burned by seller math before. Now I want a standardized tool every deal runs through — no exceptions."
ChurnLens fit: Very high. Recurring usage, dealflow pipeline. Needs the paid tiers for volume analysis.
David — The M&A Advisor
Advises clients on SaaS acquisitions, needs buyer-side analysis in his toolkit
"My clients ask me to verify the seller's churn claim. I need a professional-grade tool I can put my name behind."
ChurnLens fit: High. White-label potential. Needs the professional plan for multiple concurrent analyses.
You fit one of these avatars? Then ChurnLens was built for you.
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.
How does ChurnLens score 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.
Why do SaaS acquirers need due diligence on churn?
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.
What red flags should I check before buying a SaaS business?
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.
Key facts
Risk dimensions scored
5
Revenue-quality score range
0-100
Built for
Acquirers, PE, founders
Key terms, defined
Revenue concentration
The share of total revenue coming from the largest customers — high concentration is a churn and valuation risk.
Logo retention
The percentage of customers (logos) retained over a period, independent of expansion revenue.
Net revenue retention (NRR)
Revenue retained from existing customers including expansion and contraction, expressed as a percentage.
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