onlycfo.io · 2023-04-13 · 1148d

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.

6 metrics· Cited 0× in the knowledge base ·Open source ↗

Metrics in this report

Annual Churn Rate (Hypothetical Quickbooks Example)

5%percent

baseline

Early-stage accounting software serving small businesses in years 1-3

Burn Multiple (FCF / Net New ARR)

2.3xmultiple

median

VC-backed SaaS companies at $1-$5M ARR (early-stage, non-profitable)

Burn Multiple (FCF / Net New ARR)

1.4xmultiple

median

VC-backed SaaS companies at $20-$25M ARR

Burn Multiple (FCF / Net New ARR)

1.0xmultiple

median

VC-backed SaaS companies at $30-$40M ARR

Customer Lifetime (Derived from 5% Churn)

20years

calculated

Quickbooks hypothetical example using 1/churn formula

LTV/CAC Ratio

3.0ratio

minimum

Industry target for SaaS companies to justify sustainable unit economics