Tool · Illustrative model
Registration-to-FTD Calculator
Start from monthly organic visitors who reached your landing pages, then apply registration, verification and first-deposit rates. The calculator rounds each stage and multiplies by the months you choose. It is a planning aid built on your inputs, not a forecast.
Calculator
Registration-to-FTD Calculator
Model how changes at each stage after the landing page affect the number of first-time depositors.
Illustrative: rates you enter, rounded at each stage. Not a forecast.
How it calculates
- Registrations = visitors × registration rate, rounded.
- Verified accounts = registrations × verification rate, rounded.
- First-time depositors = verified accounts × first-deposit rate, rounded.
- Each count is then multiplied by the months modeled.
With 68,000 visitors and the default rates of 18%, 71% and 48%, one month gives 12,240 registrations, 8,690 verified accounts and 4,171 first-time depositors. Those defaults are illustrative and match the site's funnel explorer.
Why verification sits in the middle
Great Britain puts identity checks before gambling, and Australia puts them before an account is created, so the first deposit rate should be measured on verified accounts. For Australia, set the verification rate to 100% and treat the registration rate as the share of visitors who complete sign-up including identification. The verification paper explains the outcomes worth recording at that stage.
Limits
Multiplying by months assumes the same visitors and rates every month, which real sites rarely see. The calculator does not include deposit amounts or revenue, on purpose: the funnel counts people, and deposit values belong in finance reporting with its own controls.
Questions
Should visitors be Search Console clicks or analytics sessions?
Use landing visits from your analytics tool, because the registration rate is measured from them. Search Console clicks belong one stage earlier, in the funnel explorer.
What does months modeled do?
It multiplies the rounded monthly counts by the number of months, from 1 to 24. It assumes the same visitors and rates each month, so it does not model seasonality or growth.
Can I model a new market with it?
You can enter assumed rates, but label the result as a scenario. The scenario library is built for that comparison.
Sources
Each source was read on October 27, 2026. How we choose sources is set out on the sources and reading list page.
- Gambling Commission, New age and identity verification rules: changes to the LCCP from Tuesday 7 May, published May 3, 2019, updated August 27, 2021.
- AUSTRAC, Strengthened customer identification procedures for online gambling service providers, no date shown.