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Customer Lifetime Value (LTV): Definition, Formula & Benchmark

Customer lifetime value is the total gross profit an average customer generates over their relationship with your brand. It sets how much you can afford to spend to win them, and which customers deserve your attention. See the formula, an SMB benchmark and how we track it for clients.

Data Analytics Stack Retail Analytics Team 9 min read
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Customer lifetime value (LTV) estimates the total revenue a business can expect from a customer over their relationship with the brand. A simple revenue based estimate multiplies average order value by purchase frequency and average customer lifespan. For Shopify and DTC brands, LTV helps guide acquisition budgets when considered alongside profit margins and customer acquisition cost.

What is Customer Lifetime Value (LTV)?

Most founders track revenue per order. LTV asks a different question: what is one customer worth in total, across every purchase they will ever make?

A customer who buys once for $60 is worth far less than one who buys $60 four times a year for three years, even though the first order looks identical on a sales report. Acquisition decisions made on that first order alone are made blind.

The risk is overstating LTV. Revenue based calculations can make customers look more profitable than they are if they ignore margin, returns, fulfillment and support costs. Estimates can also be misleading when the assumed customer lifespan extends beyond the available data. Use actual customer cohorts where possible, and compare projected LTV with observed results as more data becomes available.

Customer Lifetime Value Formula

  • LTV = Average Order Value × Annual Purchase Frequency × Average Customer Lifespan in Years

Example:

  • $60 AOV × 3 orders per year × 2.5 years = $450 LTV

This gives you revenue based LTV, not profit. For acquisition decisions, apply gross margin and account for relevant variable costs, such as fulfillment, returns and customer support. This estimates customer contribution before acquisition cost and any other excluded expenses.

For a subscription business with a reasonably stable monthly churn rate, estimated customer lifespan can be approximated as 1 ÷ monthly churn rate. This is a simplified model and may not reflect actual customer behavior in stores where purchases are irregular.

SMB/DTC Benchmark

One 2026 analysis of Shopify and Shopify Plus stores reports the following median three-year revenue LTV figures by category. The panel mainly represents mid-market stores, so these figures may not reflect smaller businesses.

  • Food and beverage: $310
  • Health and supplements: $285
  • Pet products: $265
  • Beauty and cosmetics: $220
  • Fashion and apparel: $195
  • Home and garden: $155
  • Electronics: $135

The analysis reports an overall panel average of $168 over three years. These figures measure revenue, not profit, and should be treated as reference points rather than targets. Compare your results with similar businesses using the same measurement period and calculation method.

Why is LTV Important?

LTV helps set the amount a business can afford to spend on customer acquisition. Without a reliable LTV estimate, brands may base ad budgets on average order value alone, overlooking how often customers return and how much they spend over time.

LTV also helps businesses decide how much to invest in customer retention. When customers return more often or spend more over time, their lifetime value can increase. This may give the business more room to acquire customers profitably.

The key decision LTV supports is setting a maximum affordable customer acquisition cost (CAC).

Make Customer Lifetime Value More Useful for Growth

LTV is only useful when it reflects what customers actually spend and the costs of serving them. We connect customer cohorts, repeat purchases, margins and returns so you can estimate customer value more reliably and set acquisition budgets with greater confidence.

We’re a managed Customer Analytics partner, not a dashboard tool you have to build yourself, and not a one off consulting project. Explore our Customer Analytics service to see how we help brands understand customer behavior and lifetime value.

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Frequently Asked Questions

Multiply average order value by purchase frequency and average customer lifespan. For example, a $60 AOV, three orders per year and a 2.5-year lifespan gives $450 in revenue-based LTV. To estimate customer contribution, apply gross margin and subtract relevant variable costs such as fulfillment, returns and support.

There is no single ideal LTV:CAC ratio for every DTC brand. A 3:1 ratio is a widely used rule of thumb, but the right target depends on margins, retention, payback period and growth stage. For a more useful comparison, use margin adjusted LTV rather than revenue alone, and track how long it takes to recover customer acquisition costs.

AOV measures one order. LTV measures every order a customer places over the relationship. A customer can have a low AOV but a high LTV if they buy often. This can support higher acquisition costs for some subscription and consumable brands, but the right amount still depends on margins and retention.

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