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customer lifetime value (LTV)

Verified · editorial policy

Direct answer

Direct answer

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.

customer lifetime value (LTV) key facts

TL;DR
Metric
customer lifetime value (LTV)
Typical range
$200-$2,000 SMB / $5,000-$50,000 B2B mid-market
Underperforming
Under $200 SMB / Under $5,000 B2B mid-market
Outperforming
Over $2,000 SMB / Over $50,000 B2B mid-market
Top driver
AOV (the load-bearing input)
Last verified
May 20, 2026

Where you fall

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 drives this metric (in order)

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

Common 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.

People also ask

What is a good customer lifetime value (LTV)?

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.

What is the average customer lifetime value (LTV) for indie SaaS?

$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.

Why is my customer lifetime value (LTV) so low?

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.

How do I improve my customer lifetime value (LTV)?

The biggest driver, in order of magnitude, is: AOV (the load-bearing input). Fix that before tuning anything else on this metric.

Questions founders ask

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.

Source attribution

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.

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