Business Customers

LTV calculator

Average order value
Orders per year
Average customer lifespan
years
Gross margin
%
Cost to acquire a customer
Lifetime value (gross profit) 300
50 × 4 × 3 × 50% margin
Lifetime revenue 600
LTV : CAC 3 : 1
Payback period 1 years
Revenue per year 200
Orders over the lifetime 12
Verdict healthy — 3:1 or better
Margin-based LTV · 3:1 against CAC is the benchmark

The 3:1 rule of thumb exists because lifetime value is a forecast and acquisition cost is a fact. You pay the CAC today; the LTV arrives over years, if the customer behaves as expected, if you stay in business, and if churn does not rise. A 3:1 ratio gives enough room for that forecast to be wrong by a third and still leave a business. At 1:1 you are buying revenue at cost, and at anything below it you are paying customers to leave.

Lifetime value is average order value times orders per year times customer lifespan, times gross margin. A 50 order four times a year for three years at 50% margin gives 300 of lifetime gross profit — a 3:1 ratio against a 100 acquisition cost, which is the usual minimum. The same page works out that CAC and the AOV feeding it.

How to calculate lifetime value

1 Start on the AOV tab if you do not know your average order value: revenue divided by orders for the same period.
2 Work out fully loaded CAC next, including the salaries of anyone whose job is winning customers.
3 On the lifetime value tab, enter order value, frequency, lifespan and gross margin — skipping margin overstates LTV badly.
4 Compare the two. Three to one is the usual minimum, and payback under twelve months is comfortable.

Two conventions make published LTV figures hard to compare. The first is whether margin is applied: a revenue-based LTV is double a margin-based one at 50% margin, and companies quoting the bigger number rarely say which they used. The second is discounting: money arriving in year three is worth less than money today, and a rigorous LTV discounts future contribution back to present value, which is modest over three years and substantial over ten. CAC has its own trap, and it is timing. Spend in January often wins customers in March, so dividing one month spend by the same month customers is noisy at best; a rolling three-month window smooths it. The other judgement there is which customers count — including organic arrivals makes CAC look better but makes it useless for deciding how much more to spend, since organic arrivals do not scale with budget. Average order value sits underneath both and is the cheapest lever of the three, because the extra revenue costs nothing to acquire: raising AOV ten per cent through bundling, a free-shipping threshold or a well-placed upsell drops straight to contribution, whereas winning ten per cent more customers costs ten per cent more acquisition spend. The caveat is that averages hide distributions, so the median order value is worth watching alongside the mean.

What people use it for

  • Setting a maximum acquisition cost
  • Justifying a retention programme
  • Comparing customer segments by value
  • Modelling the effect of reducing churn
  • Comparing acquisition cost across channels
  • Reporting unit economics to a board
  • Deciding whether to increase ad budget
  • Tracking whether merchandising changes are working
  • Setting a free-shipping threshold
  • Watching average basket size after a pricing change
  • Setting a target acquisition cost for one campaign
  • Feeding an average order value into the lifetime value model
  • Comparing average order value between channels or campaigns

Questions

Average order value × orders per year × years retained × gross margin, and it is written CLV as often as LTV. Skipping the margin term overstates it badly.

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