Customer Lifetime Value Calculator

Most ecommerce businesses obsess over first-sale metrics - conversion rate, ROAS, CAC. These matter, but they only tell you the cost of acquiring a customer, not the value that customer delivers over time. Customer Lifetime Value (LTV) is the metric that bridges that gap. It tells you how much revenue a customer generates from their first purchase to their last, giving you the full picture of whether your acquisition economics make sense.

When you understand LTV, your entire approach to growth changes. You stop optimising purely for the cheapest acquisition and start thinking about the most valuable acquisition. A channel that brings in customers with three times the LTV is worth paying triple the CAC for. Without LTV data, you cannot make that calculation.

LTV is the total net revenue (or profit, depending on the formula) a customer generates over their entire relationship with your business. The simple formula - AOV multiplied by purchase frequency multiplied by lifespan - gives you a useful starting point. The advanced formula, which discounts future cash flows and accounts for annual churn, gives you a more conservative and financially accurate number.

For most ecommerce businesses, the advanced formula is worth using because it accounts for a critical reality: not every customer who buys once will buy again next year. The retention rate reflects the probability a customer returns in any given year. A 70% retention rate means roughly 70 out of 100 customers from year one will purchase again in year two, 49 in year three, and so on. Discounting adjusts for the fact that $100 today is worth more than $100 three years from now.

The LTV:CAC ratio is one of the most important metrics in ecommerce. The general benchmark is 3:1 - for every dollar you spend acquiring a customer, you should earn three dollars back over their lifetime. Below 1:1 and you are losing money on acquisition. Between 1:1 and 3:1 and you are recovering your costs but with little margin for error. Above 3:1 and you have healthy unit economics. Above 5:1 suggests you may be underinvesting in growth.

These benchmarks shift by category. Subscription businesses and high-repurchase categories like consumables, supplements, and pet products often sustain 5:1 or higher because retention is structurally built into the product. Fashion and home goods typically operate closer to the 3:1 baseline. Single-purchase, high-ticket categories need different benchmarks entirely because the LTV is concentrated in fewer transactions.

LTV has three levers: average order value, purchase frequency, and retention. Improving any one of them increases LTV, but the biggest leverage is almost always retention. Increasing your retention rate from 60% to 70% does not just add 10% more customers in year two - it compounds across every subsequent year, dramatically increasing the cumulative LTV. The sensitivity table in the premium analysis shows exactly how this plays out for your specific numbers.

Practical tactics for each lever: boost AOV through product bundling, upsells at checkout, and minimum order thresholds for free shipping. Increase frequency through email flows triggered by predicted repurchase windows, loyalty programmes, and subscription offers for consumable products. Improve retention by investing in post-purchase experience - unboxing, onboarding emails, proactive customer service, and win-back campaigns for lapsed customers.

Acquiring a new customer is expensive. Keeping an existing one costs a fraction of that. Yet most ecommerce budgets are weighted heavily toward acquisition channels - paid social, search, influencers - while retention marketing is underfunded. This is backwards from a unit economics perspective.

Existing customers already know and trust your brand. They convert at higher rates, return fewer items, and require less convincing than cold audiences. They are also the most receptive recipients for cross-sell and upsell offers. Every percentage point of improved retention rate multiplies across your entire customer base simultaneously, making it one of the highest-leverage activities available to a growing ecommerce brand.

The most common mistake is using revenue LTV instead of profit LTV. A customer who spends $500 over their lifetime but generates only $50 in gross profit after COGS is far less valuable than a customer who spends $200 but generates $120 in gross profit. Always calculate LTV on a margin-adjusted basis when making acquisition decisions.

A second mistake is using average LTV across all acquisition channels when making channel-level spending decisions. A customer acquired through branded search may have three times the LTV of a customer acquired through a discount code campaign. When you blend these together, neither channel is being evaluated accurately. Cohort analysis by acquisition source is the antidote - it breaks LTV down by exactly where customers came from.