Customer Lifetime Value (CLV)
Also known as: LTV, CLTV, LCV, Customer LTV
The total revenue a business expects to generate from a single customer account over the entire duration of the relationship. CLV is both a backward-looking measure of realized value and a forward-looking model for deciding which customers warrant deeper investment.
Formula
Average Annual Contract Value × Average Customer Lifespan (years)Who Is This Metric For?
Use CLV to validate your growth model. If CLV is not meaningfully higher than CAC, scaling sales spend destroys value rather than creates it.
CLV shapes how you segment customers, allocate CS resources, and set expansion targets. High-CLV segments deserve disproportionate investment.
Use CLV by cohort to assess whether your CS motions are extending customer lifespan and growing account value. Segment-level CLV trends reveal where your team's time has the highest leverage.
Priority by Stage
Too early to model reliably. You don't have enough retention history for CLV estimates to be accurate. Focus on keeping customers alive before projecting their value.
Useful as a strategic framing exercise, but don't optimize for it yet. Churn and expansion patterns aren't stable enough for CLV to drive decisions reliably.
Start building CLV models by segment. Use them to justify CS headcount investment, inform tiering decisions, and prioritize accounts for high-touch coverage.
Benchmarks
| Segment | Good | Great | World Class |
|---|---|---|---|
| SMB | 3–5× ACV | 5–8× ACV | 8× ACV+ |
| Mid-Market | 4–6× ACV | 6–10× ACV | 10× ACV+ |
| Enterprise | 5–8× ACV | 8–12× ACV | 12× ACV+ |
Common Mistakes
- Using a single blended CLV number across all segments. SMB and Enterprise CLV are structurally different and should never be averaged together
- Treating CLV as a finance-only metric. CS directly influences lifespan and expansion — CLV should live on the CS dashboard, not just the board deck
- Confusing CLV with ARR. CLV accounts for the full customer relationship including expansion, contraction, and eventual churn; ARR is a point-in-time snapshot
- Building CLV models before you have reliable churn data. Inaccurate retention inputs produce CLV estimates that mislead rather than inform