What a Prop Firm Trader Is Actually Worth: CAC, LTV and the Numbers That Decide Everything
Most prop firms don’t know what a trader is worth to them. They know what a challenge costs, they know roughly what they spend on ads, and they assume the gap is profit.
It usually isn’t — because the two biggest variables sit outside marketing entirely, and both are set by decisions made before launch.
Here’s how to actually calculate it, and what to do when the numbers don’t work.
The basic model
Four inputs. That’s it.
1. Average order value. Your evaluation price. If you sell multiple account sizes, weight by actual sales mix rather than list price — firms consistently over-estimate this because they anchor on the flagship account nobody buys.
2. Purchases per trader. How many evaluations the average acquired trader buys over their lifetime, including retries. This is the number most firms have never calculated, and it’s the one that moves everything.
3. Payout liability. What you actually pay out to funded traders, expressed per acquired trader — not per funded trader. If 8% of traders get funded and funded traders average $2,000 in payouts, that’s $160 per acquired trader.
4. Variable costs. Payment processing, refunds and chargebacks, support, platform costs per account.
Put together:
Revenue per trader = AOV × purchases per trader
Contribution = Revenue − payout liability − variable costs
Max sustainable CAC = Contribution × target margin
Worked through with illustrative numbers:
- Evaluation price: $300
- Purchases per trader: 1.8 → revenue $540
- Payout liability: $160 per acquired trader
- Variable costs: $65 (processing, refunds, support, platform)
- Contribution: $315
If you want to keep half of contribution as margin, your CAC ceiling is around $155. Below $100 you’re comfortable. Above $250 you’re buying revenue at a loss and hoping volume fixes it. It won’t.
Your numbers will differ. Run yours — the exercise takes an afternoon and it’s the highest-leverage afternoon available to a prop firm operator.
The two levers that aren’t marketing
Here’s the part that catches people out. When the CAC maths doesn’t work, the instinct is to optimise ads. But look at the model again: the two largest terms are pass rate and repeat rate, and neither is a marketing variable.
Pass rate sets your payout liability
Pass rate is the single biggest cost driver in a prop firm, and it’s set by your rule design — drawdown model, profit target, consistency rule, time limits.
Move pass rate by a couple of percentage points and your payout liability per acquired trader moves substantially. That flows straight into your CAC ceiling.
This cuts both ways, and the trap is real:
- Too high and payout costs eat the business.
- Too low and you get refund requests, chargebacks, public complaints, and eventually payment processor problems — which are existential, not annoying.
There’s no universally correct number. There is a correct process: model your intended rule set against realistic trader behaviour before launch, and monitor actual pass rate continuously afterward. Firms that set rules by copying a competitor are copying someone else’s economics onto their own cost base.
Repeat rate sets your lifetime value
Purchases per trader is the highest-leverage number in the whole model, and the most neglected.
Go from 1.5 to 2.2 purchases per trader — plausible with better retention work — and revenue per trader rises from $450 to $660 at a $300 price point. Contribution rises by roughly the same amount, because the incremental purchase carries no new acquisition cost.
That single change can raise your CAC ceiling by more than any realistic ad optimisation. And unlike CAC, it compounds: a higher ceiling makes previously unprofitable channels viable, which widens your acquisition options.
The moment that decides repeat rate is the breach. A trader who fails an evaluation is disappointed and deciding, right then, whether to retry or leave. Firms that handle that moment well — clear explanation of exactly what happened, no ambiguity about the rule, a straightforward path back — see materially better repeat rates than firms where the trader is left suspecting they were cheated.
Which means your breach communication is a revenue system, not a support function. Most firms staff it as the latter.
Where the model usually breaks
Counting funded traders instead of acquired traders. Payout liability must be spread across everyone you acquired, not just the ones who got funded. Firms that compute “payouts ÷ funded traders” get a scary number that tells them nothing useful.
Ignoring refunds and chargebacks. These aren’t rounding errors in this industry. High chargeback rates also threaten your payment processing, so the true cost is higher than the direct loss.
Using list price instead of realised price. Discounts, promotions and affiliate commissions all reduce actual AOV. Use what you banked.
Forgetting affiliate cost is acquisition cost. Revenue share paid to creators is CAC. Firms running large affiliate programmes sometimes report a flattering paid-ads CAC while their blended CAC is much higher.
Assuming a stable pass rate. Pass rate moves with market conditions and with the mix of traders you’re acquiring. A cheap channel bringing in low-skill traders lowers pass rate and looks great; a channel bringing in experienced traders raises pass rate and looks expensive. Both readings are wrong until you account for payout liability by channel.
That last point is worth sitting with: cheap traffic can be your most expensive channel, and expensive traffic can be your cheapest, once payout liability is attributed properly.
Attributing cost by channel
Blended CAC hides everything interesting. What you want is contribution by acquisition source, which means tracking not just conversions but downstream behaviour:
- Cost per acquired trader, by channel.
- Purchases per trader, by channel.
- Pass rate, by channel.
- Payout liability, by channel.
This requires your CRM to retain acquisition source through to funded-account outcomes. If attribution stops at checkout — which is where most setups stop — you can’t compute any of it, and you’ll keep optimising toward whatever channel produces the cheapest signups regardless of whether those signups make money.
Channel-level detail on what’s available: marketing for prop firms.
When the numbers genuinely don’t work
If your CAC ceiling is below what any channel can deliver, you have a product problem, not a marketing problem. The options, roughly in order of how quickly they act:
- Raise price. Prop firm demand is less price-sensitive than operators assume, particularly when the offer is clearly differentiated. Test it.
- Fix retention. The highest-leverage change available, as above.
- Revisit the rule set. If pass rate is unsustainably high, the rules are too loose. If refunds are high, they’re too tight. Both are fixable, and both need modelling rather than guessing.
- Change the mix. Affiliate and creator partnerships are pay-for-performance, so they can’t overspend your ceiling the way paid ads can — which makes them the natural channel when the maths is tight.
- Reconsider the segment. Beginner traders convert cheaply and pass rarely. Experienced traders cost more and behave better. Which one your economics can support is a real strategic choice.
The one number to track
If you only track one thing, make it contribution per acquired trader — revenue minus payout liability minus variable costs, spread across everyone you acquired.
Not signups. Not conversion rate. Not cost per click. Those all move for reasons that have nothing to do with whether the business works.
Contribution per acquired trader is the number that tells you whether growth is helping. If it’s positive and your CAC is below it, more traffic is good. If it isn’t, more traffic makes things worse faster — and a surprising number of prop firms scale their way into insolvency without ever computing it.
Want help modelling this against your actual numbers? PropFirmsTech’s CRM tracks acquisition source through to funded outcomes and payout liability, so contribution by channel is a report rather than a spreadsheet exercise. Book a call and we’ll go through your economics with you.
Related reading: prop firm challenge economics, trader retention strategies, and how prop firms acquire traders.