What Happens When You Discover Hidden Churn After a SaaS Acquisition
You closed the deal. Then the MRR reports don't match reality. Here's what actually happens when an acquirer discovers the churn was deeper than disclosed — and how to prevent it.
The scenario
You acquire a SaaS business for $500K — 3× ARR of $167K. The seller reported 3% monthly churn. Three months post-close, you discover: the top customer (22% of revenue) cancelled in month 2; 18% of accounts are inactive and their credit cards are about to expire; and the seller's churn calculation excluded involuntary churn (failed payments). Your real churn is 7%, not 3%. At this rate, you'll lose 57% of the revenue you bought within 12 months.
What happens next — the hard path
Post-close discovery of misrepresented metrics typically leads to one of three outcomes: (1) if the purchase agreement included reps and warranties about churn rates, you may have a legal claim — but litigation costs $50K–$150K and takes 12–18 months; (2) if you used an earnout structure, you can reduce or eliminate the earnout payments — but only if the earnout is tied to the metrics that were misrepresented; (3) in most cases, you eat the loss and learn a $500K lesson about pre-close due diligence.
How ChurnLens prevents this scenario
ChurnLens would have surfaced all three issues in the due-diligence phase: (1) the revenue concentration report flags any customer >15% of MRR and estimates the impact of their departure; (2) the zombie-account detector identifies inactive-but-paying accounts and estimates the revenue-at-risk when their payment method fails; (3) the MRR waterfall decomposes churn into its five components — the seller's "3%" only counted voluntary churn, but ChurnLens would have reported the full 7% by including involuntary and silent churn layers.