The LTV Models You'll Actually Use

FAQ

• What is the difference between revenue churn LTV and user churn LTV for SaaS businesses?

  Revenue churn LTV measures how long customer revenue lasts, while user churn LTV measures how long individual subscribers stay active before cancelling.
  
  The distinction matters because the two models serve fundamentally different business structures. Revenue churn LTV is the right choice for B2B SaaS companies with tiered pricing, upsells, and expansion revenue, where a single customer can shrink or grow their spend over time without technically churning. User churn LTV works better for B2C subscription products or flat-rate pricing, where every active subscriber contributes roughly the same monthly amount. Picking the wrong model distorts your unit economics and can cause you to misallocate acquisition or retention budget across pricing tiers.
• How do you calculate LTV for a SaaS or subscription business?

  The core LTV formula for a subscription business is ARPU multiplied by average customer lifetime, where average customer lifetime equals one divided by your monthly churn rate.
  
  For example, if your ARPU is $200 and your monthly churn rate is 2%, average customer lifetime is 50 months and LTV is $10,000. From there, you can layer in two refinements:

  • Margin-adjusted LTV: multiply by gross margin to see the true profit contribution per customer, not just top-line revenue.
  • Discounted cash flow LTV: apply a discount rate to future cash flows to account for the time value of money, which matters most for investor diligence.

  Baremetrics calculates these figures automatically from your Stripe data, so you are not rebuilding this in a spreadsheet every month.
• When should a SaaS company use a discounted cash flow LTV model instead of a standard LTV calculation?

  Use a discounted cash flow LTV model when you need a realistic measure of what future customer revenue is actually worth today, not just what it adds up to on paper.
  
  Standard LTV models treat a dollar received in month one the same as a dollar received in month 36. That overstates the real value of long-term customer relationships because of inflation and opportunity cost. The DCF LTV model applies a discount rate to each future cash flow period, giving a more defensible number for unit economics conversations. This approach is most useful for late-stage SaaS companies with predictable recurring revenue, and for founders or finance leads preparing LTV to CAC ratios for investor diligence.
• How do you use LTV by customer segment to sharpen your ideal customer profile?

  Segmenting LTV by pricing plan, billing interval, or acquisition channel reveals which customer groups generate the most long-term revenue and stay the longest before churning.
  
  Start by dividing your subscriber base into cohorts based on plan tier or company size. Compare average LTV and churn rate across each segment to identify your stickiest user groups. Then look at what your highest-LTV customers have in common and use that pattern to tighten your ideal customer profile. Lower-priced plans typically carry higher churn and lower lifetime value, so shifting acquisition focus toward segments that already show strong retention is usually more efficient than trying to repair high-churn cohorts after the fact. Baremetrics customer segmentation dashboards make this comparison straightforward without manual data wrangling.
• What is a margin-adjusted LTV model and why do SaaS investors prefer it over standard LTV?

  A margin-adjusted LTV model calculates customer lifetime value after accounting for gross margin, showing the true profit contribution of each customer rather than just top-line subscription revenue.
  
  Standard LTV ignores the cost of delivering your service, which means it can look healthy even when the business is barely profitable on a per-customer basis. Multiplying LTV by gross margin corrects for this and gives a more accurate view of what each subscriber actually contributes to the bottom line. This matters for two reasons:

  • It produces a more defensible LTV to CAC ratio when presenting unit economics to VCs or investors.
  • It helps SaaS founders and finance leads prioritise customer segments that are genuinely profitable, not just high in revenue volume.