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

Blask Team

Latest by Blask Team

KnowledgeBrand’s Accumulated Power (BAP)

BAP in iGaming answers one question: out of all the demand players show for iGaming brands in a country, how much goes to this brand? Blask reports the answer as a percentage. A brand with a 12% BAP holds 12% of its market’s tracked demand. It does not hold 12% of the market’s revenue. That distinction shapes everything below. This page covers the formula, how to read it, how BAP differs from revenue market share, Blask Index and share of search, and how to use it for competitive benchmarking. A UK case, William Hill against Bet365, shows what a falling BAP looks like in real data and what it cannot tell you. Brand’s accumulated power is Blask’s measure of a brand’s share of total market demand in a given country and period. It is built on the Blask Index, which counts demand for iGaming brands from normalized search data. BAP converts that absolute count into a share, so what is BAP in practice? A brand’s slice of the market’s attention. BAP measures attention before it turns into money. A player who searches for a brand is choosing between options, and Blask counts those choices across every tracked brand in the country. The result is a position inside a market: Bet365 holds this share of UK demand, William Hill holds that one. BAP is not a count of players, deposits or revenue, and it says nothing about what happens after the search. Absolute numbers mislead when the market moves. A brand adds 10% to its demand in a month when the whole market adds 25%, and it has lost ground even though its own numbers rose. Brand demand only tells you where you stand when you set it against everyone else’s. Max Tesla, CEO and co-founder of Blask, put the underlying problem plainly: BAP is the demand-side counterpart. It shows relative position while players are still choosing, before revenue reports arrive. The BAP formula is a ratio: The market figure is the sum of the Blask Index across all tracked brands in that country and period, so the BAP values of all brands in a market add up to 100%. The set of tracked brands grows over time. In the UK data used later on this page, the market total covers 294 brands in January 2024 and 444 in September 2026. How to calculate BAP takes three steps. Take a market where tracked brands generated 10,000,000 Blask Index points in a month, and one brand generated 1,200,000 of them. Both numbers must come from the same country and the same period. A monthly brand figure divided by a daily market figure produces a number that means nothing. A BAP percentage reads as a slice of demand: 12% means 12 of every 100 units of tracked demand go to this brand. Context decides whether that is high. In a market with 400 tracked brands, 12% is a large slice. In a market where three brands dominate, it may be third place. Read BAP next to competitors and across periods. Report changes in percentage points. A move from 12% to 9% is a loss of 3 percentage points, or 25% in relative terms. BAP has no data of its own. It divides two Blask Index values, so every strength and limit of the index carries over. The index follows the share of search approach of Les Binet and James Hankins and processes geo-tagged search queries from sources such as Google Keyword Planner and Google Trends. How Blask measures market intelligence describes the full methodology. Raw search counts distort demand, so Blask cleans them before any share is calculated. Sentiment filtering keeps queries like “brand betting” and drops “brand scam” or “brand payout problems”. Variation unification merges spellings, so “merrybet” and “merry bet” count as one brand. Multi-pass normalization re-collects the same periods to catch retroactive revisions by Google, and seasonal adjustment accounts for recurring swings. These steps happen at the Blask Index level. BAP only divides the cleaned values. The Blask platform shows brand data at hourly, daily and monthly granularity. Max Tesla wrote that, “much like a ‘brand ECG,’ BAP can be updated at regular intervals (monthly or even more frequently)”. The period changes the number. A daily BAP and a monthly BAP for the same brand can differ in level and sometimes in direction, because the sum of daily shares is not the share of the monthly total. Pick one granularity per analysis. Recent periods can also change slightly as Blask re-collects data, and the current month is flagged as partial until it closes. Most brand strength metrics rely on surveys or on completed sales. BAP relies on search behavior. The table shows how it differs from the brand performance metrics it is most often confused with. The Blask Index is the numerator of BAP. It counts demand in absolute terms and answers “how much?”. BAP answers “how much compared to everyone else?”. Use the index for operational questions about volume and BAP for strategic questions about position. The two can move in opposite directions, as a later section shows. Revenue market share divides a brand’s GGR or NGR by the market’s. BAP divides demand. A brand that retains players well earns more per unit of demand, so its revenue share can sit above its BAP. Regulators also report completed transactions with a delay, while BAP tracks demand as it forms. Both are valid and answer different questions. Measuring iGaming brand market share covers the revenue side. BAP applies the share of search method to the Blask Index. Classic share of search divides searches for a brand by searches for all brands in a category. BAP does the same on a cleaned, normalized series for the iGaming brands of one country. The two share logic but not necessarily numbers, because providers use different keyword sets, filters and time windows. Share of search as a metric for market volume explains the method in detail. Awareness comes from surveys and asks whether people recognize a brand. BAP records what people search for. A brand can be widely known and rarely searched, or the reverse after a promotion or a major sporting event. Traffic counts visits…

byBlask Team
KnowledgeAffiliate commission tier

An affiliate commission tier is a milestone rule inside an affiliate program: when a partner hits a predefined performance threshold, the operator increases the CPA per FTD or the RevShare percentage. The concept is partner-side commercial logic, not a player VIP tier or a game jackpot ladder. A tier can apply in two ways, and the contract has to say which. An incremental band pays the higher rate only on the volume above the threshold. A retroactive band reprices the whole month once the threshold is crossed. Carryover and the qualification rule sit in the same clause. Industry surveys in 2026 report hybrid and tiered structures on a growing share of new affiliate contracts as operators balance acquisition volume against margin. Tier design determines whether that balance holds. A commission tier escalates payout rates as volume or revenue crosses defined bands within a measurement window (usually a calendar month). Thresholds are measured in: Tiering can apply to the CPA component, the RevShare component, or both. It sits inside the broader commission model choice an operator makes at program level. A flat rate pays the same CPA on every qualified FTD in the month. A tier changes that CPA, or the RevShare percentage, when the count crosses a threshold. The threshold is usually qualified FTDs or partner-attributed NGR. Calendar-month windows dominate. Rolling 30-day periods appear at smaller programs but complicate finance forecasting. Tier status usually resets each period unless the contract specifies rolling qualification. Tiers should count qualified FTDs only: minimum deposit met, fraud flags cleared, hold period elapsed. Tiering on gross registrations invites low-quality cliff-chasing at month-end. Hold periods of 30–45 days before FTDs enter tier counts are standard where bonus abuse is material. FTDs reversed for fraud within the clawback window drop out of the tier calculation retroactively. CPA tiers increase the fixed payment per qualified FTD as monthly volume rises. Market context for absolute CPA levels sits in the CPA knowledge article. Directional acquisition benchmarks place affiliate CPA between $80 and $300 per FTD depending on GEO and traffic source. The critical design choice is whether crossing Tier 2 reprices all FTDs in the month or only FTDs above the threshold. That distinction is covered in the retroactive vs marginal section below. RevShare tiers raise the NGR percentage as partner volume or attributed revenue grows. Illustrative RevShare ladder (not a Blask rate card): Headline RevShare percentages are meaningless without the NGR formula. Deductions for bonuses, payment fees, chargebacks, and taxes can shift effective partner earnings by double-digit points. The NGR definition article covers what belongs in the base. Negative carryover still applies on tiered RevShare unless the contract specifies no-negative-carryover (NNCO) terms. A Platinum-tier partner can still net zero commission in a month where referred players win heavily. This is the highest-impact design decision in tiered commission structures. Retroactive example. A partner at 49 qualified FTDs in March earns $120 each ($5,880). One additional FTD under retroactive Tier 2 at $135 reprices all 50 FTDs to $6,750 — a $870 swing from a single conversion. That cliff motivates volume but also incentivises last-day low-quality sign-ups. Marginal example. The same 50th FTD earns $135 while the first 49 remain at $120 ($6,015 total). The partner still gains from the milestone; finance retains tighter control. Mature operators with finance scrutiny often prefer marginal models. Recruitment offers and smaller programs frequently use retroactive tiers for simplicity and partner motivation. Finance teams modelling retroactive tiers should stress-test month-end scenarios: a partner moving from 99 to 100 qualified FTDs can shift total commission by more than the marginal value of the hundredth player alone. That spike belongs in accrual forecasts, not as a reconciliation surprise. The most common hybrid pattern keeps CPA fixed and tiers only the RevShare tail — for example $80 CPA plus RevShare rising from 15% to 25% by NGR band. Less common: tier both components simultaneously. That adds negotiation complexity and reconciliation load without always improving partner behaviour. Full hybrid mechanics sit in the hybrid deal article. Track360’s 2026 sample estimated hybrid terms on 41% of new affiliate contracts, making tiered hybrids a default consideration at program design stage. Operator checklist before publishing a tier table: Cliff chasing. Retroactive tiers near month-end correlate with incentivised and multi-account traffic. Fraud teams should flag partners whose FTD velocity spikes in the final 48 hours of each period. Registration-tiering. Counting sign-ups instead of qualified FTDs inflates apparent volume while LTV collapses. Headline-rate competition. Partners compare published Platinum rates across operators without reading NGR definitions. Operators who publish tiers without deduction schedules attract rate shoppers, not long-term partners. Ignoring sub-affiliate volume. A primary partner may route tier-inflating volume through undisclosed downstream publishers — a compliance and quality blind spot. Static tiers. A table negotiated in 2023 at $120 CPA may be underwater by 2026 if GEO competition shifted. Affiliate managers should tie tier reviews to cohort economics, not calendar inertia. An affiliate commission tier converts flat commission tables into performance-linked escalation. CPA tiers fix per-FTD economics by volume band; RevShare tiers align percentage payouts with partner scale; hybrid programs often tier only one leg. Retroactive vs marginal mechanics matter more than the headline rates on the tier table. Operators who define qualification rules, clawbacks, and NGR bases before publishing Bronze-to-Platinum ladders avoid the margin leaks that flat-rate programs hide until…

byBlask Team
KnowledgeWhat is a betting limit

A customer opens a bet slip, types $1,500 on a football match and sees the stake cut to $1,000. The account has the money. The sportsbook simply will not take more on that selection. That is a betting limit at work. Some limits are fixed rules of a game. Others move with the market, the odds and the account. Some are set by the player, not the operator at all. This guide separates them. A betting limit is the smallest or largest amount an operator accepts on a wager, or the most it will pay out on it. So the short answer to “what is a betting limit” is: a ceiling or a floor on stake or return. Limits can apply to one bet, one market, one event or one account. A separate group of limits, the ones a player sets for deposits, losses or time, belongs to responsible gambling. The betting limit meaning in everyday use often blurs the two, so this article treats them separately. For a bookmaker, every accepted bet is a possible loss. Limits keep that loss within an amount the business can carry on any single outcome. Limits also protect prices. A thin market with a mispriced line can be hit hard before traders correct it. On the customer side, regulators use stake and deposit caps to reduce gambling harm. Betting limits in gambling therefore serve three goals at once: financial control, pricing quality and player protection. Four parties can set them. The operator sets market and account limits through its trading and risk teams. Game suppliers and casino operators configure minimum and maximum wagers for each game or table. Regulators set some limits by law, such as the UK cap on online slot stakes. Players set their own through deposit, loss or stake limit tools. When several apply to the same bet, the strictest one decides what goes through. A sportsbook checks each bet against its limits at the moment of placement. The system looks at the stake, the odds, the market, the potential return and the account’s settings. If everything fits, the bet is accepted. If not, the sportsbook rejects it, offers a smaller stake or sends it to a trader for review. Which response the customer sees depends on the operator. The minimum bet limit is the smallest stake accepted. It keeps tiny bets from costing more to process than they are worth. Many online sportsbooks set it low, but the exact figure varies by operator, currency and market. The maximum stake is the largest amount accepted on a selection. It is the limit customers notice most, because it is the one they hit. Limits attach to the selection and the bet type, not just to the account. A customer may get a large stake on the match winner and a much smaller one on the correct score in the same game. Multiple bets add another layer. On an accumulator, the total odds can be very high, so a payout cap often binds before any stake limit does. Most online sportsbooks show an error or a reduced maximum stake on the bet slip. The customer can accept the lower amount or cancel. Some books offer a “request a bet” route where a trader decides on the excess. Placing the same selection again in pieces usually does not help. Many operators count all stakes on one selection toward the same limit. Six types cover most of what customers see. They differ in what they control: a single stake, a single return, a market, an account or a period of time. This limit sets the floor for a wager. Online sportsbooks often keep it low to welcome casual customers. Casino tables use minimums to set the tone of a table, with low-stake tables for casual play and high-stake tables for bigger budgets. This cap is the largest stake accepted on one selection or bet. It usually depends on the sport, the market and the odds. Two customers on the same selection can see different maximums if their accounts carry different settings. A betting payout limit caps the total return on a bet, whatever the stake and odds. It matters most on accumulators and long-shot bets. Example: a $10 accumulator at total odds of 15,000.00 would return $150,000. If the operator’s payout cap is $100,000, the customer receives $100,000. Payout caps are set in the operator’s terms and differ between brands and markets. Operators set different limits for different markets. Main markets on popular events usually get the highest limits. Player props, exotic markets and lower leagues usually get lower ones, because prices there are harder to set and easier to exploit. An account can carry its own limit, separate from the posted market maximum. Operators apply these after reviewing account activity. They may raise limits for some customers and reduce them for others. Time-based stake limits cap the total a customer can wager over a period. Players usually set them as a responsible gambling tool. In the UK, operators may offer stake limits as an option alongside the mandatory deposit limit, under RTS 12. No single formula sets sportsbook betting limits. Each operator weighs the same inputs differently, depending on its trading model, its risk appetite and its customer base. The factors below appear in most setups. High-volume markets absorb large bets better. When many customers bet on both sides, one large stake moves the book’s position less. Prices on these markets also settle faster, so the operator trusts them more. Low-volume markets lack both. A single informed bet on a minor league can cost more than the market earns in weeks. The point applies beyond prediction markets. Where liquidity comes from many participants trading against each other, the operator carries less risk on each bet and can accept larger stakes. Liability is what the operator loses if the bet wins. At the same stake, higher odds mean higher liability. That is why maximum stakes usually fall as odds rise. A $1,000 stake at 1.50 risks $500 of the operator’s money. The same stake at 11.00 risks $10,000. Top leagues and major tournaments attract the most betting and the most pricing attention. Operators usually allow higher limits there. Niche…

byBlask Team

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