Is your challenge priced right? Now you know.
A challenge is a product: it has economics. Funnel analytics show how each program performs across its whole population, so tuning rules and pricing becomes a data decision instead of a gut call.
Built for prop firms.
What you get. In detail.
Pass rate
Passed out of all completed evaluations, per challenge program: the single number that decides whether a program makes or loses money.
Stage conversion
How many accounts progress from phase to phase, and where they drop. A program that fails everyone in phase two is priced wrong or tuned wrong.
Average time to pass
How long passing traders actually take, versus the duration you allow: the input for setting realistic time limits.
Per-program comparison
Compare programs side by side to see which configurations convert and which burn traders, before your competitors’ Discord tells you.
Tune without recreating
Adjust rules on a running program and re-judge active accounts. The funnel updates with them, so you can measure the effect of a change on the same population.
The program looks fine. Phase 2 says otherwise.
One funnel, whole population
Every evaluation this program has ever run, in one picture: 1,240 of them. Not the loudest anecdotes from support tickets or Discord, but what actually happened to everyone who paid the fee.
Phase 2 is where they die
30% of traders pass phase 1, then only 23% of those survive phase 2, against the 45% the pricing assumed. Traders who already proved skill are churning at the second gate: the phase-2 rules are out of proportion, and no overall pass rate would have told you which phase to blame.
The fix is a config edit
Loosen the phase-2 daily drawdown, re-judge the running accounts, and watch the conversion move: same program, same population, measured effect. Program design becomes a loop of small, evidenced adjustments instead of a relaunch.
Why firms switch. And what changes.
A challenge is a product with unit economics
Every challenge program has a price, a pass rate, and a funded-payout liability, which means it has margins, whether you measure them or not. Most firms tune rules by intuition and find out from refund requests or a competitor’s Discord that a program is burning traders or burning money. By then the damage is reputational as well as financial.
What Fxward measures
For every program, across its entire population: the pass rate out of completed evaluations, conversion from phase to phase, and how long passing traders actually take against the duration you allow. The numbers come from the same evaluation engine that judges the accounts, so they are complete by construction, not a sampled export.
What changes for your firm
Program design becomes an iterative, measured process: adjust a rule, re-judge the running population, watch the funnel move. Pricing conversations happen with a real pass rate on the table, new program ideas launch with a plan for what success looks like, and underperforming configurations get caught in weeks instead of quarters.
Gut-feel program design vs. a measured funnel. How firms actually price.
Signal
Refund requests, Discord complaints, and a vague sense that sales dipped.
Pass rate, phase conversion, and time-to-pass per program, always current.
Diagnosis
The program “feels hard.” Nobody can say which rule or which phase.
The exact phase where traders drop, with the population numbers behind it.
Iteration
Clone a new program, wait months, compare anecdotes to anecdotes.
Edit rules on the running program, re-judge, and measure the same population.
Economics
Margins discovered in the accounting, after funded payouts start landing.
Pass rate priced deliberately against challenge fees and payout liability.
Common questions. Straight answers.
Per challenge program: pass rate (passed out of all completed evaluations), conversion between phases, and average time to pass. Together they show whether a program’s rules, duration, and price are tuned correctly, across its whole population, not anecdotes.