Lies of Customer Lifetime Value
The article challenges how SaaS companies calculate customer lifetime value (LTV) and churn rates, arguing that historical churn metrics are misleading predictors of future customer retention due to rapid technological change, increased competition, and AI-driven cost compression. The author emphasizes that companies must properly analyze churn cohorts, distinguish between regrettable and non-regrettable churn, and recognize that churn is non-linear—particularly as products mature and new competitors emerge.
Metrics in this report
5%percent
baseline
Early-stage accounting software serving small businesses in years 1-3
2.3xmultiple
median
VC-backed SaaS companies at $1-$5M ARR (early-stage, non-profitable)
1.4xmultiple
median
VC-backed SaaS companies at $20-$25M ARR
1.0xmultiple
median
VC-backed SaaS companies at $30-$40M ARR
20years
calculated
Quickbooks hypothetical example using 1/churn formula
3.0ratio
minimum
Industry target for SaaS companies to justify sustainable unit economics