Metrics 4 min read · · Last updated:
By Mark Ashworth · Founder, ChurnTools

What Is Customer Lifetime Value (LTV)?

Customer lifetime value is the total revenue a customer generates before they churn. It is the single most important number in SaaS unit economics because everything from acquisition budget to product investment scales from it.

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Customer lifetime value (LTV) is the total revenue a customer generates from their first purchase to their last, before they churn.

It is the single most important number in SaaS unit economics because everything else scales from it: your acquisition budget, product investment, hiring plans, and pricing decisions.

The basic formula

LTV = Average Revenue Per Customer per Month × Average Customer Lifetime in Months

Example: A customer paying $200/month with a monthly churn rate of 5% has an average lifetime of 20 months (1 / 0.05). LTV = $200 × 20 = $4,000.

The formula gets more sophisticated when you account for expansion revenue, gross margin, and cohort behavior, but this is the starting point.

Why LTV matters more than revenue

Two SaaS companies with $1M ARR can have wildly different economics:

  • Company A: $200 ARPU × 5,000 customers × 5% monthly churn = $4K LTV. Can spend up to $1,300 to acquire a customer profitably.
  • Company B: $200 ARPU × 5,000 customers × 2% monthly churn = $10K LTV. Can spend up to $3,300 to acquire a customer profitably.

Same revenue. Same customer count. Same average price. But Company B has 2.5x the acquisition budget per customer. It can outbid Company A in every marketing channel and still be more profitable.

This is why retention work has such compounding returns. Every 1% reduction in monthly churn increases LTV meaningfully, which increases every downstream budget.

What affects LTV

Three factors control LTV:

  1. Average revenue per customer. Pricing, expansion revenue, and plan mix. See should you offer annual plans.
  2. Churn rate. The denominator. See how to reduce customer churn.
  3. Time. LTV assumes churn stays constant. In practice, retention curves flatten over time, so long-tenure customers are worth more than the simple formula suggests.

What "good" LTV looks like

LTV varies dramatically by segment:

  • Enterprise B2B SaaS: $100K+ LTV typical
  • Mid-market B2B SaaS: $5K-$50K LTV
  • SMB SaaS: $500-$5K LTV
  • B2C SaaS: $50-$500 LTV
  • Mobile subscription apps: $30-$300 LTV

What matters more than the absolute number is the LTV to CAC ratio. A healthy SaaS targets 3:1 or higher.

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Frequently asked questions

Answers to the questions I get most often about this topic.

What is customer lifetime value (LTV)?

Customer lifetime value (LTV) is the total revenue a customer generates from their first purchase to their last, before they churn. It is expressed in dollars per customer. LTV is calculated by taking the average revenue per customer per month and multiplying it by the average customer lifetime in months.

Why is LTV the most important SaaS metric?

LTV sets the ceiling on everything else. Your customer acquisition cost (CAC) budget can only be a fraction of LTV before unit economics break. Product investment, hiring plans, and pricing all scale from LTV. A SaaS company with a strong LTV can afford to invest more in every function than one with a weak LTV, even at the same revenue.

What is a good LTV for SaaS?

LTV varies dramatically by segment. B2B SaaS: $5K-$50K LTV is typical for mid-market, $100K+ for enterprise. SMB SaaS: $500-$5K is normal. B2C SaaS: $50-$500 is typical. What matters more than absolute LTV is the LTV-to-CAC ratio, which should be 3:1 or higher for healthy unit economics.

How does churn affect LTV?

Churn is the denominator in the LTV formula. Every percentage point of monthly churn reduction meaningfully increases LTV. Going from 5% to 3% monthly churn increases average customer lifetime from 20 months to 33 months, which increases LTV by 65% at the same monthly revenue.
MA

Written by Mark Ashworth

Founder of ChurnTools. I spend my time studying how SaaS companies lose customers and building tools to help them stop. Previously worked in SaaS growth and retention across multiple B2B products. I also write about growth and answer-engine optimization (AEO) at growthpigeon.com.

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