Unit economics

Customer Lifetime Orders Calculator

How many orders — and how many dollars — the average customer relationship will produce end to end.

Lifetime orders = purchases per year × years retained; lifetime revenue = lifetime orders × average order value. A customer who buys 3 times a year and stays for 2 years places 6 lifetime orders — at an $80 average order value, $480 of lifetime revenue. Framing lifetime value in orders makes the levers concrete: getting that customer to stay six months longer adds 1.5 orders ($120), while a $10 AOV lift adds $60 across the same 6 orders. Enter your three inputs to project both numbers.

Customer Lifetime Orders Calculator — your numbers

Lifetime orders

6

Lifetime revenue

$480.00

Estimate only. Results reflect exactly the numbers you enter — verify against your own accounting before making pricing decisions.

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Worked examples

Typical repeat customer

Purchases per year 3
Years retained 2
Average order value $80.00
Lifetime orders 6
Lifetime revenue $480.00

6 orders and $480 of revenue over the relationship.

Loyal consumable buyer

Purchases per year 8
Years retained 3
Average order value $45.00
Lifetime orders 24
Lifetime revenue $1,080.00

24 orders worth $1,080 — frequency compounds harder than order size.

Frequently asked questions

How is this different from a lifetime value (LTV) calculator?

This projects lifetime revenue and order count; an LTV calculator applies your gross margin on top to show lifetime profit contribution. Use lifetime orders when planning operations — inventory depth, support load, packaging costs scale with orders — and margin-based LTV when setting acquisition budgets. The order count here times your margin per order reproduces LTV exactly.

Where do I get reliable inputs for frequency and years retained?

From cohort data: purchase frequency is last year’s orders divided by unique customers, and years retained can be approximated as 1 ÷ annual churn rate. A store losing 50% of a cohort each year has a two-year expected lifetime. New stores should start with conservative placeholders — 1.5 purchases a year, 1 year retained — and revise as real cohorts age.

Why think in customer lifetime orders instead of just lifetime revenue?

Because several real costs scale per order, not per dollar: pick-and-pack fees, shipping subsidies, packaging, payment fixed fees and support tickets. A customer worth $480 across 6 orders costs meaningfully more to serve than one worth $480 across 2 orders. Order-count projections also drive inventory planning — 6 lifetime orders of a consumable tells you exactly how much stock a cohort will consume.

Which of the three inputs is most worth improving?

Test the sensitivity right in this calculator, but for most stores retention wins: it multiplies every future year of orders, and small churn improvements compound. Frequency is usually the cheapest to move (replenishment emails cost almost nothing), while AOV lifts arrive instantly but do not compound. The best programs move frequency and retention together with the same lifecycle flows.

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Part of the Unit Economics collection.