---
title: "customer lifetime value (LTV) – directional benchmark"
summary: "Indie SaaS lifetime value sits between $200 and $2,000 for SMB self-serve products and between $5,000 and $50,000 for B2B mid-market tiers. The LTV calculation is extremely sensitive to the churn rate used – a 1 percentage point change in monthly churn shifts LTV 20 to 40%. Use cohort-based LTV where possible."
canonical: https://unlocksaas.com/benchmarks/lifetime-value
updated: 2026-05-20
publisher: "Unlock SaaS"
author: "Maryan"
license: All rights reserved. Quotation with attribution permitted.
---

# customer lifetime value (LTV) – directional benchmark

> Indie SaaS lifetime value sits between $200 and $2,000 for SMB self-serve products and between $5,000 and $50,000 for B2B mid-market tiers. The LTV calculation is extremely sensitive to the churn rate used – a 1 percentage point change in monthly churn shifts LTV 20 to 40%. Use cohort-based LTV where possible.

## Bands

### Underperforming: Under $200 SMB / Under $5,000 B2B mid-market

Either the AOV is too low (price-stack problem) or the churn rate is too high (positioning or activation problem). LTV is the output; the inputs are the levers.

### Typical range: $200-$2,000 SMB / $5,000-$50,000 B2B mid-market

Standard indie SaaS LTV. Compounding work on AOV (Stack Slide, OTO, annual plans) and retention (activation, re-engagement) moves the band.

### Outperforming: Over $2,000 SMB / Over $50,000 B2B mid-market

Premium positioning, high expansion revenue, or specialty niche. Verify the LTV math against actual cohort retention, not modeled projections.

## What this metric is influenced by (ordered by magnitude)

- AOV (the load-bearing input)
- Monthly churn rate (small changes compound massively)
- Annual plan mix (lifts AOV and reduces churn simultaneously)
- Expansion revenue (upsells over time)
- Customer cohort retention curve shape

## Common founder misreadings

- Using a single monthly churn number to project LTV. Real churn curves are non-linear; early-cohort churn is higher than steady-state.
- Projecting LTV from cohorts under 12 months old. The math is unstable on short data.
- Comparing LTV to CAC without normalizing for sales cycle length. Long sales cycles inflate apparent LTV unfairly.

## Source

Range based on ProfitWell's 2024 SaaS retention research, OpenView Partners' annual SaaS benchmark report, Lenny Rachitsky's retention survey, and the founder's observed range across teardowns. Cohort-based LTV calculations recommended over flat 1/churn projections.

## FAQ

### How do I calculate LTV correctly?

Cohort-based, not flat. Take a cohort of customers from month X, track their retention monthly, project to a 24-month horizon, multiply by AOV. Avoid the '1 / churn rate' shortcut for indie SaaS – it assumes flat churn, which isn't true.

### What's a good LTV:CAC ratio?

3:1 minimum, 5:1 healthy, over 7:1 means you should probably invest more in acquisition. Below 3:1 means the business is unprofitable per customer; the fix is either lower CAC or raise LTV.

### How does annual vs monthly impact LTV?

Significantly. Annual plans churn 3 to 5x less than monthly. A customer on monthly might churn at 7%/month (LTV ~14 months); the same customer on annual churns 25%/year (LTV ~4 years). Annual plans are the highest-leverage LTV move available.

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Canonical URL: https://unlocksaas.com/benchmarks/lifetime-value
Publisher: Unlock SaaS (https://unlocksaas.com)
Contact: maryan@unlocksaas.com