Definition
The share of visitors who complete a target action, such as registering or making a first deposit.
A conversion rate is a fraction, and both halves of it are choices. Which action counts as a conversion, and which visitors count as the denominator, decide the number — which is why two teams can report different figures for the same week and both be right.
How it works
The useful form is not one rate but a chain: landing page to registration start, start to account created, account to identity verification, verification to first deposit. The single headline number hides which link is failing, and the chain shows it.
Segmentation does the rest. One average across markets, devices and traffic sources conceals more than it reports — a figure that looks stable can be a mobile collapse offset by a desktop improvement.
Statistics are the usual trap. Rates move on their own, weekly cycles are large, and a difference measured over a few days of traffic is generally noise. A test that cannot run long enough to settle will produce an answer anyway, and it will be wrong roughly half the time.
Why it matters in iGaming
The funnel here is longer and more hostile than in most sectors, because much of it is compulsory. Identity checks, source-of-funds questions, deposit limits and age verification are regulatory requirements, not design decisions, and they sit between registration and revenue.
That changes the work. The usual lever — remove steps — is mostly unavailable, so the gains come from making required steps survivable: explaining why a document is needed, accepting a photo that is slightly crooked, saving progress so a person who stops to find their passport does not start again from nothing.
Example
A site reports 3.1% registration-to-deposit and treats it as the problem. Split by step, registration-to-verification is 71% and verification-to-deposit is 44%. The failure is the document upload, not the form — and a rejection message that says which part of the photo was unreadable moves the second figure more than any change to the first ever could.
Common mistakes
- Reporting one rate for everything. Markets, devices and sources behave differently enough that the average describes none of them.
- Calling tests early. Rates fluctuate on a weekly rhythm, and a result read before it settles is a coin toss with a chart attached.
- Optimising the step you control instead of the step that fails. The form is easy to change; the verification wall is where the people are leaving.