Nigeria45.33M
Rwanda3.09M
Ecuador6.51M
Bhutan13.42K
Zambia17.72M
Switzerland1.84M
Brazil8.09M
Mauritania130.1K
Somalia461.3K
Bosnia and Herzegovina3.32M
Cyprus1.09M
South Africa84.21M
Serbia8.23M
Belarus3.09M
Mongolia78.99K
Cambodia540.7K
Nepal2.09M
Netherlands6.42M
Bolivia478.6K
Czech Republic2.81M
El Salvador1.02M
Israel350.2K
Dominican Republic984.8K
Egypt1.19M
Argentina16.27M
Kuwait63.42K
Pakistan5.17M
Cameroon17.75M
United Arab Emirates731.8K
Liberia1.97M
Vietnam66.06M
Chad2.98M
Greece8.79M
Belgium2.94M
Iceland47.27K
Lithuania796.7K
Kazakhstan3.52M
Panama833K
France4.01M
Slovenia941.9K
Philippines180.8M
Armenia4.44M
Mali1.28M
Brunei22.14K
Norway1.09M
Latvia851.5K
Ethiopia6.7M
Senegal1.08M
Singapore2.83M
Australia3.82M
Malaysia5.37M
Japan613.9K
Tunisia2.59M
Croatia5.21M
Bulgaria18.74M
Costa Rica389.9K
Colombia15.18M
South Sudan349.7K
Laos482.9K
Jordan178.5K
Moldova408.9K
Kenya38.4M
Montenegro1.43M
The Republic of the Congo4.83M
Georgia13.97M
Sudan7.36K
South Korea905.9K
New Zealand2.35M
Bangladesh46.89M
Turkey108.2M
United Kingdom40.17M
Uzbekistan1.02M
Haiti11.14M
Slovakia3.04M
Austria3.29M
Thailand7.3M
Namibia3.17M
Turkmenistan13.71K
Russia0
Portugal3.22M
Lebanon415.5K
Gabon1.64M
Uganda27.13M
Zimbabwe7.34M
Finland6.05M
Italy35.61M
Uruguay223.7K
Gambia2.93M
Honduras1.04M
Yemen11.46K
Canada7.65M
Guinea2.55M
Indonesia19.36M
Ghana9.81M
Poland12.66M
Burkina Faso271.2K
Bahrain115K
Myanmar1.39M
Venezuela13.25M
Paraguay2.22M
Sierra Leone1.25M
Algeria711.1K
Azerbaijan3.46M
Botswana7.87M
Angola7.66M
Togo261.6K
Madagascar1.28M
Tajikistan2.1M
Peru29.23M
Saudi Arabia493.6K
Malawi9.36M
North Macedonia833.2K
India38.27M
Denmark1.95M
Luxembourg66.85K
Romania12.09M
Sri Lanka433.4K
Spain7.94M
United States7.77M
Jamaica242.8K
Guatemala349.3K
Kyrgyzstan355.8K
Democratic Republic of the Congo34.55M
Albania390.5K
Qatar370.3K
Germany23.32M
Ivory Coast5.77M
Mozambique29.38M
Tanzania41.19M
Benin2.95M
Ireland3.43M
Libya9.34K
Hungary2.79M
Morocco2.26M
Chile5.45M
Nicaragua255.7K
Burundi309.2K
Ukraine6.45M
Mexico7.36M
Estonia347.9K
Niger159.4K
Sweden7.74M

Blask Team

Latest by Blask Team

KnowledgeClick-to-registration rate (Click-to-Reg) in iGaming

The click-to-registration rate (Click-to-Reg) is the percentage of tracked clicks that end in a completed player registration. It sits between the ad click and the first deposit in the iGaming acquisition funnel. Operators and affiliates use it to check whether landing pages, traffic sources, and sign-up flows turn interest into accounts. Click-to-Reg is the share of eligible tracked clicks that lead to registrations under a defined set of attribution and measurement rules. It answers one question: of the people who arrived, how many created an account? Three components define the number: Some reports, however, divide by unique clicks or landing-page sessions instead. Every report should name its denominator. A registration is not a verified account and not a first-time depositor. Click-to-Reg (%) = (Attributed Registrations ÷ Eligible Tracked Clicks) × 100 For example, a campaign generates 2,000 tracked clicks and 200 attributed registrations. Click-to-Reg = 200 ÷ 2,000 × 100 = 10% Thus, the campaign produced 10 registrations for every 100 eligible tracked clicks. Also, count both numbers under the same attribution rules and observation window. Google Ads, for example, credits conversions within a conversion window after the ad interaction, 30 days by default. An affiliate campaign for a casino brand delivers these results over one month: Four problems distort the result. For example, bot clicks inflate the denominator. Duplicate registration events inflate the numerator. Unattributed registrations vanish from the count. Finally, tracking changes make two periods incomparable. Timing matters too. A player can click on October 30 and register on November 2. If the October report closes on October 31, that registration falls outside it. As a result, the newest campaigns look weaker than they are. Click-through rate (CTR) measures engagement before the click: how often an impression turns into a click. Click-to-Reg, in contrast, starts where CTR stops. It measures what happens after the click, when the visitor decides whether to create an account. For example, the illustrative campaign has 100,000 impressions → 2,000 clicks → 200 registrations. A high CTR does not guarantee a high Click-to-Reg. For example, a loud bonus banner can collect clicks from people who never planned to sign up. However, reading both shows where visitors drop. Still, each metric is a form of conversion rate for its own step of the funnel. Click-to-Reg covers one step. Next, two more metrics carry the funnel through to the first-time deposit (FTD). The three formulas are: Click-to-Reg = Registrations ÷ Clicks × 100 Reg-to-FTD = First-Time Depositors ÷ Registrations × 100 Click-to-FTD = First-Time Depositors ÷ Clicks × 100 Also, some teams calculate Reg-to-FTD against verified registrations or another eligible population, not all registrations. State which one. Illustrative funnel: The three rates connect: Click-to-FTD = Click-to-Reg × Reg-to-FTD Still, the equation holds when both stage rates use consistent populations and attribution rules. First, convert percentages to decimals before multiplying. For example, 0.12 × 0.20 = 0.024, or 2.4%. It also shows why registrations alone mislead. For instance, a campaign can double its Click-to-Reg and still deliver fewer depositors if Reg-to-FTD falls by more than half. No single Click-to-Reg benchmark fits every iGaming campaign. The same landing page can convert very differently depending on where the traffic comes from and whom it reaches. These factors move the baseline: Public benchmarks rarely disclose sample, GEO, product, period, and definition together. Because of this, one publisher’s number can’t serve as an industry standard. Instead, your own data gives a better benchmark. Group campaigns with the same GEO, channel, device mix, product, and attribution rules, and judge each group against its own history. Seven factors explain most changes. Each, however, gives you a hypothesis to test, not a verified cause. So a drop right after a landing-page change makes that change a suspect. Only a controlled test confirms it. Six practices help performance marketing and product teams lift registration conversion without hurting traffic quality. In affiliate marketing, Click-to-Reg is one of the first numbers operators and affiliates review together. Several mechanics shape it: Two click types often get mixed up. A click from an ad to the affiliate’s page is one funnel stage. A click-out from that page to the operator is the next stage. Each needs its own denominator. Otherwise, two conversions merge into one number. However, a high Click-to-Reg can still mean weak results if registrations don’t verify, deposit, or qualify. Campaign A generates twice as many registrations as Campaign B and half as many first-time depositors. By contrast, Campaign B converts 2% of clicks into depositors, against 1% for Campaign A. Also, at the same price per click, Campaign B’s cost per FTD is half of Campaign A’s. As a result, judging by registrations alone would scale the wrong campaign. Instead, read registration volume together with acquisition cost, traffic validity, and deposit conversion. However, low downstream conversion doesn’t automatically mean fraud. For example, mismatched offers, a different GEO mix, or missing payment methods can cause it too. First, Click-to-Reg comes from internal data: ad platforms, affiliate trackers, and the operator’s registration events. It shows what happened inside your funnel, not in the market around it. Blask Index also adds that outside view. It is an AI-enhanced indicator of iGaming demand built from search activity, tracked by country and brand. Take an operator whose registration conversion in Brazil declines in the third quarter of 2026. The team first checks landing pages, traffic composition, tracking, and registration friction. Then it looks at the market. For example, Brazil’s monthly Blask Index fell from 239.2M in June 2026 to 156.13M…

byBlask Team

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