Prop firm churn and trader retention statistics

The lead number in trader retention, observed across retail brokerages, prop trading firms, and crypto exchanges. It shifts a few points by market and by how you define quitting, but the pattern holds: churn concentrates in the first 90 days, which is why retention efforts that activate at month six miss the at-risk traders.

Honesty note: no single canonical 90-day figure exists. Industry-cited estimates range from 63% to 90%. ~75% is the most widely cited working number, and it is industry-cited, not regulator-published. The structural forces behind it are unpacked in why traders quit.

ESMA’s 2018 product intervention analysis, drawn from EU national regulators, found that “74-89% of retail accounts typically lose money on their investments, with average losses per client ranging from €1,600 to €29,000.”

The distinction matters: this is a loss rate, not churn. It measures money lost, not people leaving. The two get conflated across aggregator sites. When most accounts lose money, most accounts also leave, but the regulator measured the first, not the second. The churn side of the equation, what it costs a broker and what changes it, is the subject of behavioural retention for brokers.

ASIC’s Report 828 reviewed 52 licensed Australian CFD issuers between October 2024 and December 2025. It returned nearly $40 million to more than 38,000 retail investors after finding more than half the sector had breached the product intervention order. In the Australian 2023-24 financial year, 133,674 of 195,386 retail clients, or 68%, realised a net loss after fees, totalling $458 million including $73 million in fees.

One caveat worth stating because it cuts against the behavioural reading: ASIC notes that 5% of retail clients would have made a net profit but for fees. Part of that loss rate is cost structure rather than trading behaviour.

The line prop firm operators should read twice: as a result of the review, 42 firms built or upgraded systems to monitor client trading behaviour. Client-outcome monitoring is now a documented regulatory expectation. Our full read of the report is in retention you can defend. Like ESMA’s figure, this is a loss rate, not churn.

We pulled a major prop firm’s public Trustpilot reviews, 3,000+ in total, and categorised each sampled negative review by primary complaint. 30% described behavioural patterns: drawdown breaches under pressure, tilt, and repeat account purchases after failure. The remaining 70% described operational issues: platform bugs, payout delays, KYC problems, support failures.

The 70% is infrastructure the firm can already see in tickets and logs. The 30% is psychology, unmeasured at almost every firm. The behavioural share is likely understated: tilted traders tend not to name the mechanism, so treat 30% as the visible floor. Full analysis in the 3,000-review study and the free report.

The full distribution behind the 30/70 split. Two buckets make up the behavioural share: rule violations driven by emotional trading (23%) plus explicit tilt and emotional trading complaints (7%). The five operational buckets sum to 70%.

One detail worth sitting with: revenge trading had zero explicit mentions in the sample. The pattern still surfaced, as repeat purchase behaviour. Traders act out the mechanism without naming it.

No regulator or industry body publishes an audited prop firm churn rate, so any monthly figure you see is an estimate. This is ours, and we label it as such everywhere it appears, including inside the financial models in the churn report. A firm’s true churn rate comes from its own cohort data, which is the number worth knowing.

Firms spend $200 to $2,000 acquiring each trader, depending on the segment and channel: paid ads, affiliate commissions, influencer deals, SEO content, and the sales team’s time. When a trader churns, that spend is gone. Not reduced. Gone.

The full unit economics, including onboarding, compliance, and departure costs, are worked through in the real cost of trader churn.

Average trader lifetime value sits between $1,200 and $3,500 across most retail brokerage models. The number assumes the trader stays long enough to generate meaningful volume, which is exactly what the 90-day churn concentration prevents. Lost lifetime value is the largest component of churn cost: in every model we have examined, it exceeds acquisition cost by 2x to 4x.

Count the firms offering paid evaluations and funded accounts and the list stops somewhere past 250, offering near-identical rules, fee structures, and platforms. A market that crowded cannot differentiate on product, which is why retention has become the remaining competitive edge. The durable firms run a behavioural playbook for how prop firms retain funded traders without re-pricing the offer.

Our industry-wide estimate for the behavioural share of negative prop firm reviews. The firm in the 3,000-review study came in at 30%, the conservative end, which suggests it scores better than average on this benchmark. The estimate is orientation, not gospel: it exists so a firm can compare its own categorised review base against something, and it is labelled a Discentra estimate everywhere it appears.

Reichheld and Sasser found that cutting customer defections by 5% raised profits by 25% to 85% across the service businesses they examined. The spread is industry-dependent, and the working is worth stating plainly: the 85% figure comes from a single bank’s branch system, with 50% in an insurance brokerage and 30% in an auto-service chain. Reichheld’s later work at Bain puts the financial-services figure at more than 25%. The floor of that range is enough to redirect every retention budget worth running.

A widely circulated version of this statistic gives the range as 25% to 95%. We do not use it. The 95% ceiling does not appear in Reichheld and Sasser’s paper or in the Bain material it is usually sourced to, and the 2014 Harvard Business Review article it is often attributed to was written by Amy Gallo, who was summarising Reichheld’s earlier work rather than reporting a new finding.

A composite mid-size prop firm: 10,000 active traders, 10% monthly churn, $500 average CAC, $1,200 annual LTV. That firm loses 12,000 traders a year, and the total annual churn cost lands at $24,540,000 across acquisition waste ($6M), lost remaining lifetime value ($11.4M), onboarding, departure support, review damage, and replacement acquisition ($6M).

Every assumption is disclosed so you can run it on your own numbers. In the same model, a 5-point churn reduction saves over $12 million a year. Calculate your own churn cost.

A trader who makes it past 90 days has 4x the lifetime value of one who does not. Traders who pass that filter tend to stay for 12 to 24 months. This is why the 90-day concentration in statistic 1 is the expensive kind of churn: every trader pulled back from quitting in month two represents $950 to $3,000 in preserved lifetime value.