Platform · Analytics & reporting
Prop firm analytics and reporting.
The numbers an operator actually runs a prop firm on: revenue, signups, pass rates per phase, payout exposure, and cohort behavior — computed from live platform events and exportable when they need to leave the building. Part of the platform, not a bolt-on dashboard.
What you measure
The numbers the business runs on.
Every metric here is computed from the same events that drive the platform — purchases, trades or picks, phase transitions, breaches, payout requests. Nothing is keyed in by hand, so the numbers describe the firm as it is, not as someone remembered it.
Revenue
Sales by challenge variant, account size, and payment method — tied to real orders in the back office, so finance and marketing read from the same ledger.
Signups
New traders over time, split by source and challenge type. See whether a campaign brought buyers or browsers, and how quickly signups turn into active evaluations.
Pass rates per phase
The funnel from purchase through every phase to funded. Per-variant rates show whether a configuration is priced and tuned the way you intended — not just whether it sells.
Payout exposure
The aggregate amount you would owe if every eligible funded account requested a payout today. The number most firms meet for the first time when it is already a problem.
Cohort behavior
Traders grouped by signup period, source, or variant, followed through phases, breaches, retakes, and payouts. Aggregates hide mix shifts; cohorts reveal them.
Exportable reports
Every view leaves the platform as a report. Hand it to your accountant, reconcile it against your payment processors, or load it into your own warehouse.
The hard truth
Payout exposure is the metric most firms discover too late.
Revenue is visible at the moment of sale. Exposure is not. Most prop firm dashboards are built around the first number; the firms that fail are usually surprised by the second.
Exposure accumulates quietly, one funded account at a time, as traders who passed their evaluations build eligible profit. Nothing on a sales chart warns you. The promotion that produced your best revenue month is also producing, a few phases downstream, your largest payout queue — and by the time it arrives as payout requests, the decisions that could have shaped it were needed months earlier.
PropXO treats exposure as a first-class metric. The platform already knows every funded account's balance, profit split, and payout eligibility, because it enforces those rules — so exposure is computed from the same live account state the risk engine acts on, not reconstructed later from spreadsheets. You can watch it move as accounts pass phases, breach, or cash out, and segment it by challenge variant to see which configurations generate liability fastest relative to the revenue they bring in.
What the number does not do is make the decision for you. How much cash to hold against exposure, when to tighten a configuration, when a spike is seasonal and when it is structural — those are operator judgments. Analytics makes sure you are making them with the real figure in front of you, early enough for it to matter.
Challenge economics
Pass rates per phase are the price of your product.
A challenge is a priced structure of rules. The fee, the profit target, and the drawdown model together imply a pass rate — and the pass rate decides whether the configuration is sustainable.
A firm that tracks only an overall pass rate is averaging away the information. Phase-by-phase rates show where traders exit the funnel, whether a rule change moved the number you meant to move, and whether a discount attracted a different kind of trader than your model assumed. The overall figure can hold perfectly still while everything underneath it shifts.
Because PropXO runs multiple challenge variants concurrently — with existing participants locked to the rules they bought — analytics reports rates per variant, not just per product. Adjust a drawdown type in the challenge builder and you can watch the new variant's funnel diverge from the old one on live data, without the two populations contaminating each other.
When an aggregate looks wrong, you drill down. Every rate decomposes into the individual accounts behind it, with full customer context — orders, notes, verification, activity — in the CRM & back office. Analytics tells you that something changed; the back office tells you who, and why.
Cohort behavior
Aggregates hide mix shifts. Cohorts show them.
Most metric problems in a prop firm are mix problems. On an aggregate chart they look like mysteries; on a cohort chart they look like causes.
Overall pass rates drift because an affiliate started sending a different kind of trader. Payout requests cluster because a discount pulled forward a wave of signups that is now, in lockstep, reaching funded. Neither shows up in a headline number until well after the cause — which is exactly when cohort views earn their keep.
PropXO groups traders by signup period, acquisition source, and challenge variant, then follows each group through the lifecycle: progression through phases, breach patterns, retakes, repeat purchases, payout requests. Source attribution comes from the same affiliate and referral tracking the back office runs on, so the marketing view and the finance view are built on identical data.
The practical output is a sharper set of questions. Which sources send traders who pass and stay? Which variants attract buyers who never place a trade? Which cohorts generate payout exposure out of proportion to their revenue? These become answerable when behavior is tracked per group from the moment the cohort forms.
Reporting
Reports that leave the building.
Dashboards answer your daily questions. Reports answer everyone else's — your accountant's, your partners', your risk reviewer's.
Exportable by design
Any view exports as a report. Finance closes the books, partners get their numbers, and your analysts work in the tools they already use. Your firm's data is yours — no tickets, no gatekeeping.
One source of events
Revenue, risk, and trader metrics are computed from the same platform events the challenge engine and risk engine act on. There is no second system to reconcile against — the report is the record.
Every vertical
The same analytics across every firm you run.
Trading, futures, crypto, and sports betting firms share one platform, so revenue, pass rates, exposure, and cohorts read the same way in every vertical — with the metrics each market actually needs layered on top.
FAQ
Frequently asked questions
PropXO · Demo
See your numbers before you need them.
A walkthrough of the operator console and analytics views, configured for the vertical you want to run. Commercial terms are scoped privately for the deployment.