Also known as:Onboarding Abandonment, Verification Drop-off, KYC Abandonment Rate
What is KYC Drop-off?
KYC drop-off is the share of referred users who start account registration but abandon it at the identity-verification stage, typically when asked to upload a passport, national ID, or proof of address. It is the gap between people who sign up and people who become verified, funded clients.
Know Your Customer (KYC) is the regulatory check every licensed broker must run to confirm a client's identity and screen for fraud and money laundering. It is mandatory under regimes like the FCA, CySEC, and ASIC, so it cannot be removed. But how it is presented, the number of documents, the upload experience, the wait for approval, varies hugely between brokers, and that variation is where partners either keep or lose their commissions.
Key takeaways
Drop-off is measured between sign-up and verified account.
Most commissions pay on verified funded clients, not raw sign-ups.
A 200-start, 50-verify funnel means a 75% drop-off.
Much abandonment is confusion, not disinterest, so it is recoverable.
A document checklist and video guide are the cheapest fixes.
The number matters because a partner is usually paid on verified, funded accounts, not on raw sign-ups. Imagine an affiliate sends traffic that produces 200 registrations, but only 50 complete KYC. That is a 75% KYC drop-off, and it means three-quarters of the earned interest, and the CPA that would follow, evaporates at the last step before payout.
Much of that loss is recoverable. A large slice of abandonment comes from confusion (blurry photo rejected, unclear document list, no idea how long approval takes) rather than genuine disinterest. Partners who diagnose the exact stall point and add pre-registration education can convert a meaningful portion of those stalled sign-ups into funded clients.
How it works
KYC drop-off is measured as the number who fail to complete verification divided by the number who started registration, over a set period. You track it by comparing sign-up events to verified-account events, ideally by traffic source so you can see which campaigns produce genuine, compliant clients.
The stall usually happens at a specific micro-step: an unclear document list, a rejected upload for poor image quality, a mismatch between the name entered and the ID, or an approval wait with no status update. Because the cause is often UX and expectation, not eligibility, targeted fixes such as a short document checklist, an explainer video, or a broker with automated liveness verification can recover a real share of lost accounts.
1
Instrument the funnel
Track registration-started and account-verified events separately, tagged by traffic source, so you can measure drop-off per campaign.
2
Calculate the rate
Divide the number who never verify by the number who started. A 200-start, 50-verify funnel is a 75% drop-off.
3
Locate the stall step
Use funnel analytics or session recordings to find whether users quit at document upload, selfie check, or the approval wait.
4
Add pre-registration education
Publish a short list of required documents and a video showing exactly how to photograph and upload them before users hit the wall.
5
Compare broker onboarding
Where drop-off stays high, weigh promoting a broker with faster, automated KYC against one with a slow manual review.
Why it matters for partnership: You are usually paid on verified funded accounts, not raw sign-ups, so a high KYC drop-off silently caps your CPA. Reducing it with document guides and better broker choice directly lifts the commissions you actually get paid.
Formula
KYC Drop-off Rate = (Registrations Started − Accounts Verified) ÷ Registrations Started × 100
Real World Example
An affiliate driving traffic to Exness sees 200 sign-ups in a month but only 50 pass verification, a 75% KYC drop-off that stalls their CPA. Session recordings show most users quit at proof-of-address upload. The affiliate adds a one-page guide listing accepted documents and a 90-second upload walkthrough, and verified accounts climb from 50 to about 90 the next month without buying any extra traffic.
Where KYC drop-off comes from and how to fix it
Stall point
Why users quit
Partner fix
Document list unclear
Users don't know what counts as valid proof
Publish a plain-language accepted-documents checklist
Upload rejected
Blurry photo or wrong file rejected repeatedly
Show a short video on how to photograph the ID
Approval wait
No status update, user assumes it failed
Set expectations and favor brokers with fast auto-KYC
Pro Tip
Record the exact micro-step where users quit, then add a short video showing how to photograph and upload each document correctly.
Common Pitfalls
Assuming the broker owns all onboarding friction; when you skip client-side KYC guidance, verified accounts and your commissions leak away at the final step.
FAQ
What counts as a high KYC drop-off rate?
There is no universal benchmark, but if fewer than half of your sign-ups reach verification, the funnel deserves urgent attention. Compare rates across your own campaigns rather than to public figures.
Can I skip KYC to convert more clients?
No. KYC is a legal requirement for licensed brokers under regimes like the FCA and CySEC. You can only make it smoother and clearer, never bypass it.
Do I get paid if a referred user never completes KYC?
Usually not. Most CPA and RevShare programs pay on verified, funded accounts, so an unverified sign-up typically earns nothing. Check your specific partner terms.
Which brokers have the lowest KYC drop-off?
Brokers with automated document scanning and instant liveness checks tend to convert better than those doing slow manual review. Test a small traffic sample before committing a campaign.
How do I know where users are abandoning?
Instrument each onboarding step as a separate event and review funnel reports or session recordings. The precise stall step tells you whether the problem is documents, selfies, or the approval wait.
Is KYC drop-off the same as bounce rate?
No. Bounce rate covers visitors who leave a page without acting. KYC drop-off is narrower, counting only users who started registration and then abandoned during identity verification.
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