TGM RESEARCH BLOG
Sports Betting Market Research: How Consumer Insights Help Sportsbooks Win Bettors Safely
June 23, 2026
(Updated July 13, 2026)
Sports Betting Market Research Full Guide
When does a sports betting market move from hit-or-miss to a data-backed growth decision?
Not when the headline numbers look big. A stronger decision starts when you can prove real licensed demand, understand bettor trust, and spot the risks before investment moves forward.
Our guide is written for licensed sportsbooks, iGaming companies, betting platform providers, sports media partners, and research teams studying the sports betting market. It explains what sports betting market research is, why the category needs sharper evidence now, which research use cases should take priority, and how bettor insights can support safer market strategy decisions.
Not when the headline numbers look big. A stronger decision starts when you can prove real licensed demand, understand bettor trust, and spot the risks before investment moves forward.
Our guide is written for licensed sportsbooks, iGaming companies, betting platform providers, sports media partners, and research teams studying the sports betting market. It explains what sports betting market research is, why the category needs sharper evidence now, which research use cases should take priority, and how bettor insights can support safer market strategy decisions.
Key Highlights
- Sports betting market research is stronger when market opportunity is assessed through licensed access, bettor demand, trust readiness, and risk exposure.
- Practical use cases, including licensing feasibility, geo-prioritisation, bettor segmentation, trust gap, in-play betting, safer gambling, betting calendar, player prop integrity, sponsorship response, and prediction market crossover research.
- The sports bettor decision journey connects the use cases from awareness and registration to deposit, bet placement, withdrawal, safer gambling, and retention. By mapping each use case to a journey stage, operators know what to measure first, what to check next, and how each research area supports a clearer sportsbook decision.
- A custom sports betting research project can deliver a market access review, bettor demand sizing, audience segmentation, sportsbook trust analysis, product experience findings, safer gambling gap analysis, sponsorship response insight, and a clear action roadmap
What Is Sports Betting Market Research?
Sports betting market research is the process of studying a sportsbook market before a business makes a move. It looks at the people who bet, the platforms they use, the rules that shape access, and the risks that can affect long-term growth.
The real question is not just “how many people bet?” A useful study should show where licensed demand exists, which sports drive activity, and how bettor trust influences platform choice and betting behavior.
Sports betting market research goes beyond sports betting data analysis.
Data analysis usually focuses on odds, match data, player performance, and betting outcomes. According to SportsJobs Online, sports betting data analysis uses historical stats, real-time information, and betting odds to find patterns. That idea is useful, as long as businesses use it carefully.
For market research, betting data is only the starting point. The real value comes from connecting those patterns with the decisions a sportsbook must make: market access, bettor trust, betting behavior, product risk, and long-term sustainability.
The real question is not just “how many people bet?” A useful study should show where licensed demand exists, which sports drive activity, and how bettor trust influences platform choice and betting behavior.
Sports betting market research goes beyond sports betting data analysis.
Data analysis usually focuses on odds, match data, player performance, and betting outcomes. According to SportsJobs Online, sports betting data analysis uses historical stats, real-time information, and betting odds to find patterns. That idea is useful, as long as businesses use it carefully.
For market research, betting data is only the starting point. The real value comes from connecting those patterns with the decisions a sportsbook must make: market access, bettor trust, betting behavior, product risk, and long-term sustainability.
The TGM Sportsbook Decision Framework
Sports betting research should read opportunity through 4 lenses. Unlike many industries, sports betting needs to be assessed through both commercial and regulatory logic. Bettor demand alone is not enough. A market also needs legal access, payment readiness, platform trust, and risk control before a sportsbook team can treat it as a real growth opportunity.
| Lens | What It Measures | Why It Matters |
|---|---|---|
| Licensed Access | Can the business legally operate, advertise and process payments? | Demand is not usable if there is no legal route to market. |
| Bettor Demand | Who wants to bet, on which sports, and how often? | Shows commercial opportunity. |
| Trust Readiness | Do bettors trust the platform, odds, payments, withdrawals and safety tools? | Explains why users convert, hesitate or churn. |
| Risk Exposure | Where could product, sponsorship, payment or player-prop mechanics create harm or backlash? | Protects long-term brand and market sustainability. |
Why Sports Betting Market Research Needs Stronger Evidence In 2026
Sports betting market research needs stronger evidence in 2026 because recent market signals show how quickly a sportsbook opportunity can change. Growth data may look strong on the surface. However, revenue quality and market access can tell a very different story.
Trust Gaps Before The Bet
Trust gaps before the bet start with a basic bettor question: is the risk worth taking?
The same concern appears in TGM’s Global Gambling and Sports Betting study. We conducted an independent CAWI survey across 34 countries with 8,926 respondents. Our findings show clearly why sportsbook trust needs to be studied before users reach the bet slip. The top reasons for being closed to gambling were “I don’t want to lose money” at 28% and “Concerned it will be addicting” at 19%. The same barriers also appeared as the leading concerns across MENA, Europe, and LATAM.
The same concern appears in TGM’s Global Gambling and Sports Betting study. We conducted an independent CAWI survey across 34 countries with 8,926 respondents. Our findings show clearly why sportsbook trust needs to be studied before users reach the bet slip. The top reasons for being closed to gambling were “I don’t want to lose money” at 28% and “Concerned it will be addicting” at 19%. The same barriers also appeared as the leading concerns across MENA, Europe, and LATAM.
For sportsbook teams, the pattern is useful. A user can understand the product and still hesitate because betting feels financially risky or difficult to control. Platform data shows deposits, bet slips, live markets, and withdrawals. Broader consumer insight explains the concerns that stop people earlier in the decision journey.
Sportsbook Revenue Moves Differently From Betting Volume
Sportsbook revenue can rise even when total betting volume weakens.
According to the American Gaming Association’s Commercial Gaming Revenue Tracker, U.S. sports betting revenue reached $4.27 billion in Q1 2026, up 8.6%, while handle fell 0.8%. The revenue gain came from a higher hold rate.
According to the American Gaming Association’s Commercial Gaming Revenue Tracker, U.S. sports betting revenue reached $4.27 billion in Q1 2026, up 8.6%, while handle fell 0.8%. The revenue gain came from a higher hold rate.
For operators and investors, that is a useful warning. Betting handle shows activity. It does not show market health on its own. A good study should look at what sits behind the revenue, especially hold rate and product mix.
Licensing Rules Limit Market Access
Licensing rules decide which sportsbooks enter the legal market and which ones get pushed out.
Brazil makes the issue easy to see. Online betting already had strong consumer activity before the regulated framework took effect. From 2025, the market test changed from “Is there demand?” to “Which operators are legally allowed to capture that demand?”
According to Brazil’s official government portal, only companies authorized by the Secretariat of Prizes and Betting are allowed to operate legally. Non-compliant operators face restrictions on advertising and sponsorship.
As a result, demand only matters when a legal route exists. Sports betting market research helps understand how much demand sits inside the licensed market before they treat consumer interest as a real business opportunity.
Brazil makes the issue easy to see. Online betting already had strong consumer activity before the regulated framework took effect. From 2025, the market test changed from “Is there demand?” to “Which operators are legally allowed to capture that demand?”
According to Brazil’s official government portal, only companies authorized by the Secretariat of Prizes and Betting are allowed to operate legally. Non-compliant operators face restrictions on advertising and sponsorship.
As a result, demand only matters when a legal route exists. Sports betting market research helps understand how much demand sits inside the licensed market before they treat consumer interest as a real business opportunity.
Athlete Harassment Signals Market Risk
Athlete harassment turns betting growth into a stakeholder trust issue.
According to the NCAA, more than one-third of Division I men’s basketball student-athletes reported harassment from people with a betting interest.
The issue is easy to understand. When bettors lose money on a player’s performance, frustration sometimes moves directly toward the athlete. That puts pressure on leagues, teams, and sportsbook partners, especially around player-specific betting markets.
So, sports betting market research requires a wider risk lens than simple product demand. Betting product demand is only one part of the decision. The sharper test is how player props affect trust in the sport.
According to the NCAA, more than one-third of Division I men’s basketball student-athletes reported harassment from people with a betting interest.
The issue is easy to understand. When bettors lose money on a player’s performance, frustration sometimes moves directly toward the athlete. That puts pressure on leagues, teams, and sportsbook partners, especially around player-specific betting markets.
So, sports betting market research requires a wider risk lens than simple product demand. Betting product demand is only one part of the decision. The sharper test is how player props affect trust in the sport.
A stronger study looks at bettor acceptance and fan reaction to athlete abuse before product expansion creates reputational damage. In this category, risk needs to be studied early because a popular betting format can still become difficult to defend.
Betting Integrity Cases Raise League-Level Concern
Betting integrity cases show how sportsbook risk reaches the competition itself.
In the past, Jontay Porter, was banned from the league in April 2024 after an investigation into gambling rule violations (NBA, 2024). The league said Porter disclosed confidential health information before a March 20 game and also bet on NBA games.
Once betting connects with insider information, trust in the game becomes part of the market risk. Operators and partners need to know where suspicious behavior, player-level information, or unusual betting patterns create concern.
Sports betting market research helps decision makers read these risks before they turn into reputation problems. The study should go beyond bettor demand and show which betting products need stronger integrity safeguards.
In the past, Jontay Porter, was banned from the league in April 2024 after an investigation into gambling rule violations (NBA, 2024). The league said Porter disclosed confidential health information before a March 20 game and also bet on NBA games.
Once betting connects with insider information, trust in the game becomes part of the market risk. Operators and partners need to know where suspicious behavior, player-level information, or unusual betting patterns create concern.
Sports betting market research helps decision makers read these risks before they turn into reputation problems. The study should go beyond bettor demand and show which betting products need stronger integrity safeguards.
Betting Payment Behavior Draws Policy Attention
Betting payment behavior shows when sportsbook growth starts to touch household finance.
Brazil gives a clear example. According to Reuters, Brazil’s central bank said Brazilians were wagering up to 30 billion reais per month on online betting. The same report said the central bank began looking closer after household income rose without the same movement in spending or savings.
Pix makes the issue sharper. Reuters reported that five million Bolsa Família recipients transferred 3 billion reais to gambling sites through Pix in August 2024. That detail turns betting payments from a platform feature into a policy concern.
So, payment speed is not just a conversion advantage. It also affects how regulators read affordability risk. Sports betting market research needs to examine deposit behavior and financial pressure early, before payment convenience becomes the reason the market faces tougher scrutiny.
Brazil gives a clear example. According to Reuters, Brazil’s central bank said Brazilians were wagering up to 30 billion reais per month on online betting. The same report said the central bank began looking closer after household income rose without the same movement in spending or savings.
Pix makes the issue sharper. Reuters reported that five million Bolsa Família recipients transferred 3 billion reais to gambling sites through Pix in August 2024. That detail turns betting payments from a platform feature into a policy concern.
So, payment speed is not just a conversion advantage. It also affects how regulators read affordability risk. Sports betting market research needs to examine deposit behavior and financial pressure early, before payment convenience becomes the reason the market faces tougher scrutiny.
Sportsbook analytics alone cannot explain bettor decisions
Sportsbook analytics alone cannot explain bettor decisions because internal data shows platform activity, not the reasons behind that activity. Sports betting decisions are shaped by money risk, trust in odds, payment confidence, withdrawal expectations, bonus perception, and safer gambling concerns. Consumer research adds the missing layer by showing why bettors choose, hesitate, convert, or churn.
The table below shows where internal sportsbook data stops and where consumer research adds deeper decision value.
The table below shows where internal sportsbook data stops and where consumer research adds deeper decision value.
| Internal Sportsbook Data Shows | Consumer Research Explains |
|---|---|
| How many users registered | Why they chose this sportsbook instead of another |
| How many users deposited | What made them trust or hesitate before depositing |
| Which bet types are used | Whether users understand the risk and mechanics |
| Where users abandon the flow | What emotion, confusion or distrust caused the drop-off |
| Which bonuses drive sign-ups | Whether the bonus attracts valuable or low-quality players |
| Which users churn | Whether they left because of losses, UX, trust, payments or fatigue |
11 Key Use Cases Of Sports Betting Market Research
Sports betting market research can support different sportsbook decisions: licensing feasibility research, geo-prioritisation research, bettor segmentation research, trust gap research, in-play betting experience research, gamified rewards research, safer journey research, betting calendar analysis, player prop integrity research, sportsbook crossover research and betting sponsorship research.
Sportsbook Licensing Feasibility Research
Disclaimer: Sports betting market research does not replace legal advice. Its role is to connect regulatory reality with consumer demand, trust, payment behavior and market feasibility, so sportsbook teams can decide whether a market is commercially worth deeper legal and operational review.
Sportsbook licensing feasibility research answers one basic point: is legal operation realistic and sustainable in this market?
Licensing needs to be checked carefully at the start because sports betting is a highly regulated industry. A license decides if the sportsbook has legal permission to operate, advertise, process payments, and stay active in the country over time.
The study looks at:
These are not small paperwork items. They affect who can manage the sportsbook, which systems can be used, how customer money is handled, and how financial crime risk is monitored. That is why licensing feasibility should be checked early, before a business treats bettor demand as a sustainable market opportunity.
Sportsbook licensing feasibility research answers one basic point: is legal operation realistic and sustainable in this market?
Licensing needs to be checked carefully at the start because sports betting is a highly regulated industry. A license decides if the sportsbook has legal permission to operate, advertise, process payments, and stay active in the country over time.
The study looks at:
- how sports betting is regulated
- how licenses are issued
- what taxes apply
- which advertising limits affect promotion.
These are not small paperwork items. They affect who can manage the sportsbook, which systems can be used, how customer money is handled, and how financial crime risk is monitored. That is why licensing feasibility should be checked early, before a business treats bettor demand as a sustainable market opportunity.
Geo-prioritisation research
Geo-prioritisation research is used when a sportsbook, iGaming company, supplier, or affiliate needs to decide which country or local market deserves attention first.
Sports betting opportunity is not equal across geographies because each market combines demand, regulation, payment access, and operating risk in a different way. A market can show strong betting interest, but if research shows low trust in online withdrawals and weak awareness of licensed operators, the immediate opportunity is not mass acquisition. The better first move is payment reassurance and education around licensed platforms.
For example, Brazil and Great Britain show 2 very different opportunity profiles. Brazil is a newly regulated fixed-odds betting market, where authorized operation became the key market entry test from 2025. The opportunity sits in market formalization, growing licensed competition, and early positioning under a newer regulatory structure.
Great Britain is a mature regulated market with established license conditions, advertising rules, and stronger operator expectations. The opportunity is less about early entry and more about differentiation, player trust, safer gambling performance, and better retention in a highly monitored market.
Geo-prioritisation helps you compare these differences clearly. Instead of treating every market as equal, you can decide where to launch, where to test, where to monitor, and where to avoid until the conditions improve.
Sports betting opportunity is not equal across geographies because each market combines demand, regulation, payment access, and operating risk in a different way. A market can show strong betting interest, but if research shows low trust in online withdrawals and weak awareness of licensed operators, the immediate opportunity is not mass acquisition. The better first move is payment reassurance and education around licensed platforms.
For example, Brazil and Great Britain show 2 very different opportunity profiles. Brazil is a newly regulated fixed-odds betting market, where authorized operation became the key market entry test from 2025. The opportunity sits in market formalization, growing licensed competition, and early positioning under a newer regulatory structure.
Great Britain is a mature regulated market with established license conditions, advertising rules, and stronger operator expectations. The opportunity is less about early entry and more about differentiation, player trust, safer gambling performance, and better retention in a highly monitored market.
Geo-prioritisation helps you compare these differences clearly. Instead of treating every market as equal, you can decide where to launch, where to test, where to monitor, and where to avoid until the conditions improve.
Sports Bettor Segmentation Research
Sports bettor segmentation research explains who the market is actually made of.
A sportsbook audience is rarely one single group. Some bettors are driven by major matches. Others focus on odds comparison, promotions, live markets, or frequent betting routines. Each group brings a different level of risk exposure and trust expectation.
Low-incidence audiences should also be flagged during segmentation. In TGM’s research projects, we observe that real bettors and VIP players can represent less than 20% of general panels. A segment may look valuable on paper, then become difficult to study if too few qualified respondents can be reached.
Segmentation should therefore show more than audience labels. It should help product and marketing teams understand which bettor groups are worth prioritizing and which groups need more targeted recruitment before the findings can support a serious sportsbook decision.
A sportsbook audience is rarely one single group. Some bettors are driven by major matches. Others focus on odds comparison, promotions, live markets, or frequent betting routines. Each group brings a different level of risk exposure and trust expectation.
Low-incidence audiences should also be flagged during segmentation. In TGM’s research projects, we observe that real bettors and VIP players can represent less than 20% of general panels. A segment may look valuable on paper, then become difficult to study if too few qualified respondents can be reached.
Segmentation should therefore show more than audience labels. It should help product and marketing teams understand which bettor groups are worth prioritizing and which groups need more targeted recruitment before the findings can support a serious sportsbook decision.
Bettor Trust Gap Research
Bettor trust gap research focuses on where a sportsbook loses credibility, rather than grouping bettors by profile.
Trust is extremely sensitive in sports betting because every action involves money and fairness. A bettor may like the product and still stop if the odds feel unclear; the bonus terms feel risky, or the withdrawal process feels unreliable.
Platform data usually shows surface behavior: a stopped deposit, an unfinished verification, or an abandoned bet slip. The deeper issue is the belief behind that action. Did the bettor feel protected? Did the platform feel fair? Did the payout process feel dependable?
The practical output is a bettor trust gap map that shows where credibility weakens, and which journey points need clearer rules or better product design.
Trust is extremely sensitive in sports betting because every action involves money and fairness. A bettor may like the product and still stop if the odds feel unclear; the bonus terms feel risky, or the withdrawal process feels unreliable.
Platform data usually shows surface behavior: a stopped deposit, an unfinished verification, or an abandoned bet slip. The deeper issue is the belief behind that action. Did the bettor feel protected? Did the platform feel fair? Did the payout process feel dependable?
The practical output is a bettor trust gap map that shows where credibility weakens, and which journey points need clearer rules or better product design.
In-Play Betting Experience Research
In-play betting experience research focuses on the pressure of real-time decision-making inside the live betting product.
Mobile and online betting have made real-time wagering a core sportsbook experience. In TGM’s global sports betting study, 67% of respondents said they want to be able to bet on sports in real time, and sports event bets placed online or through apps were the most common betting activity worldwide in the past 12 months.
The decision environment changes once a match is already happening. Bettors have less time to think; odds refresh quickly, markets suspend with limited warning, and cash-out values move while the game is still in play. Lag, slow load times, or unclear messages weaken the experience because live betting depends on speed.
The focus here is the live-match flow. Bettors need to understand why a market is paused, why odds have changed, and how cash-out values are moving. The app also needs to help users stay oriented while the match changes, especially during high-pressure moments.
So, in-play betting research shows where real-time infrastructure, UX, messaging, and promotional timing support confidence or create friction during live events.
Mobile and online betting have made real-time wagering a core sportsbook experience. In TGM’s global sports betting study, 67% of respondents said they want to be able to bet on sports in real time, and sports event bets placed online or through apps were the most common betting activity worldwide in the past 12 months.
The decision environment changes once a match is already happening. Bettors have less time to think; odds refresh quickly, markets suspend with limited warning, and cash-out values move while the game is still in play. Lag, slow load times, or unclear messages weaken the experience because live betting depends on speed.
The focus here is the live-match flow. Bettors need to understand why a market is paused, why odds have changed, and how cash-out values are moving. The app also needs to help users stay oriented while the match changes, especially during high-pressure moments.
So, in-play betting research shows where real-time infrastructure, UX, messaging, and promotional timing support confidence or create friction during live events.
Gamified rewards response research
Gamified rewards response research examines how bonuses, loyalty mechanics, and game-like features influence sportsbook engagement.
Sports betting is moving beyond a simple place-a-bet experience. TGM’s global sports betting trend study shows that over two-thirds of respondents said they would be more inclined to bet on sports if rewards were available. Rewards are therefore part of the player experience, acquisition strategy, and retention model.
The main concern is balance. Sign-up bonuses, free bets, achievements, levels, leaderboards, and personalized rewards can increase interest, but aggressive incentives also create regulatory and safer gambling sensitivity. A reward that improves engagement still needs to feel transparent and responsible.
Gamified rewards response research helps teams understand which reward mechanics feel motivating and which ones create pressure or distrust. The use case is useful before launching loyalty programs, event-based promotions, personalized offers, or in-game reward features.
Sports betting is moving beyond a simple place-a-bet experience. TGM’s global sports betting trend study shows that over two-thirds of respondents said they would be more inclined to bet on sports if rewards were available. Rewards are therefore part of the player experience, acquisition strategy, and retention model.
The main concern is balance. Sign-up bonuses, free bets, achievements, levels, leaderboards, and personalized rewards can increase interest, but aggressive incentives also create regulatory and safer gambling sensitivity. A reward that improves engagement still needs to feel transparent and responsible.
Gamified rewards response research helps teams understand which reward mechanics feel motivating and which ones create pressure or distrust. The use case is useful before launching loyalty programs, event-based promotions, personalized offers, or in-game reward features.
Betting calendar pressure analysis
Betting calendar pressure analysis looks at how fixed sports windows affect both research timing and business decisions.
Sportsbook teams often work around tournaments, finals, derby matches, national team events, or league peaks. Data collected after the window can arrive too late for campaign planning. Data collected during peak attention can also make normal demand look stronger than it really is.
A calendar-aware study gives teams a better read on timing. It separates short-term event spikes from behavior that is more likely to continue after the match, tournament, or campaign period ends. The insight is useful for media planning, product launches, sponsorship timing, and acquisition strategy.
A useful calendar-pressure study should separate event demand from durable demand. During a World Cup or major league final, betting intent often rises because attention is unusually high. The consulting task is to decide which part of that demand deserves campaign budget after the event. If the data shows high one-off interest but weak repeat-betting intent, the strategy should prioritise short campaign windows and retargeting. If the data shows strong repeat intent after the event, the strategy can support longer acquisition planning and product onboarding.
Sportsbook teams often work around tournaments, finals, derby matches, national team events, or league peaks. Data collected after the window can arrive too late for campaign planning. Data collected during peak attention can also make normal demand look stronger than it really is.
A calendar-aware study gives teams a better read on timing. It separates short-term event spikes from behavior that is more likely to continue after the match, tournament, or campaign period ends. The insight is useful for media planning, product launches, sponsorship timing, and acquisition strategy.
A useful calendar-pressure study should separate event demand from durable demand. During a World Cup or major league final, betting intent often rises because attention is unusually high. The consulting task is to decide which part of that demand deserves campaign budget after the event. If the data shows high one-off interest but weak repeat-betting intent, the strategy should prioritise short campaign windows and retargeting. If the data shows strong repeat intent after the event, the strategy can support longer acquisition planning and product onboarding.
Player prop integrity research
Player prop integrity research helps sportsbook platforms decide which player-specific betting markets are acceptable, defensible, and scalable.
A player prop is a betting market linked to one athlete’s action, such as points scored or shots taken. The format attracts attention because it makes betting more personal. The risk is also more concentrated because betting attention moves from the match result to one player’s performance.
The bigger issue is the stakeholder trust system around the sport. Player props affect bettors and athletes at the same time. Bettors need clear rules and fair market design. Athletes need protection from excessive pressure when betting attention follows individual actions. If that balance breaks, leagues and sportsbook partners face stronger scrutiny around athlete protection and competition integrity.
Player prop research should therefore look beyond demand. Strong interest in a player-specific market does not automatically mean the bet type is ready for wider use. The better decision is to test whether the market feels acceptable to bettors, defensible for leagues, and safe enough for athletes before expansion.
In-play integrity research adds another useful lens. New research “Betting against integrity: Identifying match-fixing through in-play market dynamics” shows that high-frequency in-play markets support the detection of abnormal betting patterns. The same point matters for player props because player-specific markets create concentrated signals around individual actions. When abnormal betting activity appears around those actions, integrity monitoring becomes part of the product decision.
The output is a player prop risk profile that separates safer product opportunities from bet types that need tighter monitoring before expansion. The goal is to identify which bet types support engagement without weakening trust in the sports ecosystem.
A player prop is a betting market linked to one athlete’s action, such as points scored or shots taken. The format attracts attention because it makes betting more personal. The risk is also more concentrated because betting attention moves from the match result to one player’s performance.
The bigger issue is the stakeholder trust system around the sport. Player props affect bettors and athletes at the same time. Bettors need clear rules and fair market design. Athletes need protection from excessive pressure when betting attention follows individual actions. If that balance breaks, leagues and sportsbook partners face stronger scrutiny around athlete protection and competition integrity.
Player prop research should therefore look beyond demand. Strong interest in a player-specific market does not automatically mean the bet type is ready for wider use. The better decision is to test whether the market feels acceptable to bettors, defensible for leagues, and safe enough for athletes before expansion.
In-play integrity research adds another useful lens. New research “Betting against integrity: Identifying match-fixing through in-play market dynamics” shows that high-frequency in-play markets support the detection of abnormal betting patterns. The same point matters for player props because player-specific markets create concentrated signals around individual actions. When abnormal betting activity appears around those actions, integrity monitoring becomes part of the product decision.
The output is a player prop risk profile that separates safer product opportunities from bet types that need tighter monitoring before expansion. The goal is to identify which bet types support engagement without weakening trust in the sports ecosystem.
Betting sponsorship response research
Betting sponsorship response research shows how the public reacts to sportsbook visibility in sport.
Sponsorship does not only create awareness. It also shapes how fans read the relationship between betting brands and sport. Shirt sponsorship, stadium signage, broadcast ads, sports media partnerships, and influencer content may create different reactions depending on the audience and market.
Before a sportsbook spends on public-facing sponsorship, the brand needs to know how that visibility will be read. A deal that looks strong on reach still creates discomfort if fans feel betting is too close to the sport.
For example, a club sponsorship can deliver high awareness, but fan research can show discomfort when betting visibility appears too close to athletes or youth audiences. In that case, the right strategy is not maximum exposure. The better move is lower-pressure media placement and clearer responsible gaming messaging before expanding visibility.
The result should make the sponsorship decision easier: which placements are worth testing, which ones need careful messaging, and which ones may create too much public pressure for the brand.
Sponsorship does not only create awareness. It also shapes how fans read the relationship between betting brands and sport. Shirt sponsorship, stadium signage, broadcast ads, sports media partnerships, and influencer content may create different reactions depending on the audience and market.
Before a sportsbook spends on public-facing sponsorship, the brand needs to know how that visibility will be read. A deal that looks strong on reach still creates discomfort if fans feel betting is too close to the sport.
For example, a club sponsorship can deliver high awareness, but fan research can show discomfort when betting visibility appears too close to athletes or youth audiences. In that case, the right strategy is not maximum exposure. The better move is lower-pressure media placement and clearer responsible gaming messaging before expanding visibility.
The result should make the sponsorship decision easier: which placements are worth testing, which ones need careful messaging, and which ones may create too much public pressure for the brand.
Safer gambling journey research
Safer gambling journey research follows the moments when bettors are most likely to need protection, from setting limits to receiving spending alerts or using account controls.
A sportsbook may already have deposit limits, self-exclusion, warning messages, and support resources. The bigger issue is: do bettors actually notice these tools at the right moment? Do they understand what the tools do? Do they trust the platform enough to use them?
Safer gambling also shapes long-term sportsbook credibility. According to the World Health Organization, gambling harm may lead to financial stress and serious personal impact. When a sportsbook grows without checking how users manage risk, the market may face stronger public and regulatory concern.
A useful safer gambling study should turn tool awareness into a clear action plan. If bettors recognize self-exclusion but struggle to understand deposit limits, the gap is not message volume. The gap is timing and clarity. Deposit-limit education should appear earlier in the journey, with simple prompts before betting intensity increases.
The study follows the full user journey, from sign-up and deposit to spending alerts and account controls. The result is a safer gambling gap analysis that shows where protection feels clear and where the journey needs stronger safeguards.
A sportsbook may already have deposit limits, self-exclusion, warning messages, and support resources. The bigger issue is: do bettors actually notice these tools at the right moment? Do they understand what the tools do? Do they trust the platform enough to use them?
Safer gambling also shapes long-term sportsbook credibility. According to the World Health Organization, gambling harm may lead to financial stress and serious personal impact. When a sportsbook grows without checking how users manage risk, the market may face stronger public and regulatory concern.
A useful safer gambling study should turn tool awareness into a clear action plan. If bettors recognize self-exclusion but struggle to understand deposit limits, the gap is not message volume. The gap is timing and clarity. Deposit-limit education should appear earlier in the journey, with simple prompts before betting intensity increases.
The study follows the full user journey, from sign-up and deposit to spending alerts and account controls. The result is a safer gambling gap analysis that shows where protection feels clear and where the journey needs stronger safeguards.
Prediction market and sportsbook crossover research
Prediction market and sportsbook crossover research studies whether users understand the difference between a sportsbook bet and an event-based trading contract.
The use case is relevant because prediction markets are moving closer to sports betting. They allow users to trade on event outcomes, but some platforms describe the product as financial trading rather than traditional betting. So, that creates a grey area for consumers, regulators, sportsbooks, and media partners.
The main business issue is user perception. If users see prediction markets as betting, they become part of the wider sportsbook competition set. If users see them as investing, research needs to test whether they understand the financial risk clearly.
Consumer research should answer four decision points: how users classify prediction markets, whether sports bettors compare them with sportsbooks, which users prefer market-style pricing over sportsbook odds, and whether advertising makes sports-related wagering feel more normal.
The consulting value is the next move. If research shows users confuse prediction markets with regular sports betting, the priority is clearer risk education. If research shows sports bettors are comparing both categories, the priority is stronger positioning and retention strategy.
Your output should be a prediction market crossover map. It shows where prediction markets and sportsbooks compete for the same audience and where clearer risk communication is needed before brands or media partners build campaigns around the category.
The use case is relevant because prediction markets are moving closer to sports betting. They allow users to trade on event outcomes, but some platforms describe the product as financial trading rather than traditional betting. So, that creates a grey area for consumers, regulators, sportsbooks, and media partners.
The main business issue is user perception. If users see prediction markets as betting, they become part of the wider sportsbook competition set. If users see them as investing, research needs to test whether they understand the financial risk clearly.
Consumer research should answer four decision points: how users classify prediction markets, whether sports bettors compare them with sportsbooks, which users prefer market-style pricing over sportsbook odds, and whether advertising makes sports-related wagering feel more normal.
The consulting value is the next move. If research shows users confuse prediction markets with regular sports betting, the priority is clearer risk education. If research shows sports bettors are comparing both categories, the priority is stronger positioning and retention strategy.
Your output should be a prediction market crossover map. It shows where prediction markets and sportsbooks compete for the same audience and where clearer risk communication is needed before brands or media partners build campaigns around the category.
The sports bettor decision journey: what research should measure
Sports betting research becomes stronger when key use cases are placed into one clear decision journey. Trust gap, in-play betting, deposit, withdrawal, safer gambling, etc. should not sit as separate topics. Instead, they should be organized into a logical journey, so sportsbook operators can see what to measure first, what to check next, and how to conduct the research one stage at a time.
| Journey Stage | Bettor Question | What Research Should Measure |
|---|---|---|
| Awareness | Which sportsbook brands do I know? | Brand awareness, ad recall, sponsorship visibility |
| Consideration | Which platform feels worth trying? | Bonus appeal, odds perception, app reputation, trust cues |
| Registration | Is it safe to create an account? | KYC friction, data privacy concern, perceived legitimacy |
| Deposit | Do I trust this platform with my money? | Payment confidence, deposit hesitation, affordability concern |
| Bet Placement | Do I understand the odds and risk? | Odds clarity, bet type understanding, confidence |
| Live Betting | Can I make decisions under time pressure? | In-play UX, cash-out clarity, odds movement comprehension |
| Result/Loss | How do I feel after winning or losing? | Emotional response, regret, control, risk perception |
| Withdrawal | Will I actually get paid? | Withdrawal trust, processing expectations, complaint triggers |
| Retention/Churn | Why would I return or stop? | Loyalty drivers, fatigue, loss sensitivity, switching triggers |
| Safer Gambling | Do I notice and trust protection tools? | Limit awareness, alert acceptance, self-control support |
How To Conduct Sports Betting Market Research
Sports betting market research should follow a clear workflow: define the sportsbook decision, map legal access and market evidence, identify the right betting audience, choose the research method, design sportsbook-specific questions, recruit verified respondents, collect the data, manage fieldwork quality, process the dataset, and turn the analysis into an action roadmap.
1. Frame the sportsbook decision
Framing the sportsbook decision means defining the business point before any research is designed.
A sportsbook team should be clear about the decision it needs to make. The study can support market entry, live betting expansion, player prop review, sponsorship planning, offshore competition analysis, bettor trust diagnosis, or safer gambling improvement.
The brief should clarify:
The brief should clarify:
- The country or market being studied
- The sportsbook product or business area in scope
- The risk that needs closer review
- The action the company wants to take after the research
2. Build the market access and evidence map
Build the market access and evidence map before asking bettors any questions. The step checks if the market is legally workable and if the available data supports the opportunity.
Sports betting is highly regulated, so active bettor demand is not enough. You should first review:
Sports betting is highly regulated, so active bettor demand is not enough. You should first review:
| Area to Review | Recommended Source | What to Check |
|---|---|---|
| Licensing Availability and License Costs | National gambling regulator, government betting portal | Licence types, application process, fees, renewal rules, local entity requirements |
| Tax Rules and Margin Pressure | Tax authority, finance ministry, gambling regulator | Betting tax, gross gaming revenue tax, reporting duties, payment deadlines |
| Advertising and Sponsorship Limits | Gambling regulator, advertising standards authority, league rules | Ad restrictions, sponsorship limits, influencer promotion rules |
| KYC, AML and CFT Controls | Gambling regulator, financial intelligence unit, AML authority | Identity checks, source-of-funds checks, suspicious transaction monitoring |
| Age Verification and Customer Fund Protection | Gambling regulator licence conditions | Minimum betting age, verification timing, player fund segregation |
| Safer Gambling Duties and Regulator Reporting | Gambling regulator, responsible gambling authority | Deposit limits, self-exclusion, warning messages, reporting format |
After that, collect the market signals that show what is already happening:
| Market Signal | Recommended Source | What to Check |
|---|---|---|
| Sportsbook Revenue, Betting Handle and Hold Rate | Gambling regulator reports, industry revenue trackers | Market size, betting volume, revenue quality |
| Licensed Operator Activity | Official licence register, regulator announcements | Active operators, new licences, suspended licences |
| Sports Calendar Peaks | Official league websites, federation calendars, event organizers | Major tournaments, finals, derby matches, national team events |
| Payment Behavior | Central bank, payment regulator, finance ministry, financial news | Deposit methods, withdrawal behavior, payment restrictions |
| Regulatory Updates | Government gazette, regulator news, legal updates | New rules, consultation papers, enforcement actions |
| Sponsorship News | League announcements, club statements, sports business media | Sponsorship restrictions, public reaction, betting brand visibility |
The purpose is to avoid building the study only on respondent opinion. If handle is high but revenue quality is weak, the research should test why. If payment behavior is under policy attention, the study should include deposit and withdrawal questions.
3. Define the betting audience
Defining the betting audience means deciding who answers the research questions.
Different sportsbook decisions need different respondent groups, and audience definition should not be rushed. If the wrong people answer the survey, the findings may look organized but still mislead the business.
Useful respondent criteria can be organized like this:
Different sportsbook decisions need different respondent groups, and audience definition should not be rushed. If the wrong people answer the survey, the findings may look organized but still mislead the business.
Useful respondent criteria can be organized like this:
| Respondent Criteria | What to Screen For | Example of Qualified Respondent |
|---|---|---|
| Legal Market Location | Lives in the target country or state where the sportsbook decision is being studied | A respondent who currently lives in São Paulo, Brazil, is legally allowed to bet, and has access to licensed or regulated sportsbook options in that market. |
| Betting Frequency | How often the respondent places sports bets | A respondent who placed at least 4 sports bets in the past 30 days, or a major-event bettor who placed bets during the latest World Cup, Champions League, etc. |
| Licensed Sportsbook Usage | Use of regulated sportsbook platforms | A respondent who has used a licensed sportsbook in the past 3 to 6 months, completed account verification, deposited money, placed at least one bet, and tried to withdraw winnings. |
| Offshore Platform Familiarity | Awareness or past use of offshore betting sites | A respondent who has visited or compared offshore sportsbook sites, understands why bettors use them, and can explain differences in bonuses, odds, verification. |
| Live Betting Experience | Use of in-play betting during a match | A respondent who has placed an in-play bet during a live match, watched odds change in real time, experienced market suspension, or used a cash-out feature before the match ended. |
| Exposure to Betting Sponsorship | Awareness of betting ads, shirt sponsorship, stadium signage, or sports media partnerships | A respondent who regularly watches sports and has noticed sportsbook brands on team shirts, stadium boards, broadcast ads, sports media content, or influencer promotions. |
4. Choose the research method
Choosing the research method means matching the method to the sportsbook decision. Not every decision needs the same approach. For instance:
- Market entry often needs desk research, competitor review, and consumer surveys.
- Live betting research may need interviews or app journey review.
- Sponsorship research may need message testing or fan reaction analysis.
- A survey is useful for sizing demand or comparing bettor groups.
- Interviews are better for understanding hesitation, trust problems, or emotional reactions during betting moments.
5. Design sportsbook-specific questions
Designing sportsbook-specific questions is about asking real betting situations instead of general consumer opinions.
The best questions should be specific and tied to a real action. Instead of asking broad preference questions, ask what the respondent did, what made them hesitate, and what would change their decision next time. For examples:
The best questions should be specific and tied to a real action. Instead of asking broad preference questions, ask what the respondent did, what made them hesitate, and what would change their decision next time. For examples:
| Research Focus | Weak Question | Better Sportsbook-Specific Question |
|---|---|---|
| Platform Trust | Do you trust this sportsbook? | Before placing your most recent bet, what made the sportsbook feel safe or unsafe to use? |
| Deposit Behavior | Was depositing easy? | Did anything make you hesitate before depositing money into your sportsbook account? |
| Withdrawal Confidence | Are withdrawals important to you? | After winning a bet, how confident were you that the sportsbook would process your withdrawal without problems? |
| Live Betting | Do you like live betting? | During your last in-play bet, did odds changes or market suspension make the experience clear or stressful? |
| Player Props | Are player props interesting? | Do player-specific bets feel acceptable to you, or do they create concern about athlete pressure? |
| Offshore Usage | Do you use offshore sportsbooks? | What makes an offshore sportsbook feel more or less attractive than a licensed sportsbook? |
| Sponsorship Response | Do you notice betting ads? | When you see a betting brand on a team shirt or stadium board, does it make the brand feel more trusted or too close to the sport? |
| Safer Gambling | Do you know safer gambling tools? | Have you noticed deposit limits, spending alerts, or account controls while using a sportsbook? |
Question wording also needs care. Terms like cash-out, player props, deposit limits, and self-exclusion should be clear to respondents. If the wording is confusing, the answers will not be reliable.
6. Recruit verified betting respondents
Recruiting verified betting respondents is finding people whose real experience matches the sportsbook question being studied. A larger sample does not always make the research stronger if the respondents are not relevant to the decision. In market research, the first priority is respondent fit.
Start with clear screening rules. The research team should verify:
Start with clear screening rules. The research team should verify:
- Legal age and location in the target market
- Recent sports betting activity
- Use of licensed sportsbook platforms
- Experience with the product being studied, such as live betting or player props
- Familiarity with offshore platforms, if offshore competition is part of the study
- Exposure to betting sponsorship, if brand visibility is being tested
The screener should also include behavior proof. You can follow this:
| Research Objective | Screening Question | Qualified Respondent |
|---|---|---|
| Market Entry Research | Have you placed a sports bet in this market within the past 3 months? | Lives in the target market, meets legal age rules, and has recent betting experience |
| Licensed Sportsbook Trust | Have you deposited or withdrawn money on a licensed sportsbook in the past 6 months? | Has real platform experience beyond account browsing |
| Offshore Leakage Research | Have you compared a licensed sportsbook with an offshore betting site before placing a bet? | Has direct comparison experience between licensed and offshore options |
| In-Play Betting Research | Have you placed a bet after a match had already started? | Has direct live betting experience |
| Player Prop Research | Have you placed or seriously considered a bet linked to one player’s performance? | Understands player-specific betting markets |
| Sponsorship Response Research | Have you noticed sportsbook brands during a sports match, broadcast, or team-related content? | Has real exposure to betting sponsorship visibility |
| Safer Gambling Research | Have you seen or used betting limits, alerts, or account controls on a sportsbook? | Has enough platform experience to comment on safer gambling tools |
For sensitive topics such as betting losses, offshore usage, safer gambling tools, or athlete harassment, screening should stay focused on behavior and decision-making. The goal is to confirm relevant experience without asking respondents to share unnecessary personal details.
For example, the screener does not need to ask how much money a respondent lost. It only needs to confirm if they have used betting limits or experienced situations that relate to the research objective. This keeps the study relevant while making respondents feel safer and more willing to answer honestly.
For example, the screener does not need to ask how much money a respondent lost. It only needs to confirm if they have used betting limits or experienced situations that relate to the research objective. This keeps the study relevant while making respondents feel safer and more willing to answer honestly.
7. Manage fieldwork quality
Managing fieldwork quality means monitoring responses to make sure the right respondents are being reached and poor-quality answers are removed early.
Sports betting research needs close monitoring because the audience may be niche or some respondents may try to pass screening without real betting experience. The research team should track quality from the first responses, rather than wait until the sample is complete.
During fieldwork, the team should monitor:
Sports betting research needs close monitoring because the audience may be niche or some respondents may try to pass screening without real betting experience. The research team should track quality from the first responses, rather than wait until the sample is complete.
During fieldwork, the team should monitor:
- Quota progress by market and respondent type
- Screening pass rate
- Survey completion time
- Drop-off points in the questionnaire
- Duplicate or suspicious responses
- Response quality by sample source
Quality control also needs to protect against weak or unreliable answers. The research team should validate location, review repeated answer patterns, remove inconsistent responses, and check if respondents understand key sportsbook terms such as odds, cash-out, player props, deposit limits, and self-exclusion.
8. Process and validate the betting dataset
Processing the betting dataset is turning raw survey responses into clean, structured data that is ready for analysis.
After fieldwork, the research team should not move straight into charts. Instead, you review the raw data and check if the responses match the study objective.
The processing stage should include:
After fieldwork, the research team should not move straight into charts. Instead, you review the raw data and check if the responses match the study objective.
The processing stage should include:
- Removing incomplete or low-quality responses
- Checking response speed and repeated answer patterns
- Validating location, age, and screening answers
- Reviewing inconsistent responses across related questions
- Coding open-ended answers into clear themes
- Preparing tables or dashboards for analysis
9. Analyze data and create the sportsbook action roadmap
Analyzing the data means turning cleaned responses into clear sportsbook decisions.
Start by reading demand and risk side by side. Demand shows where bettors show interest. Risk shows where the business may face trust problems, regulatory pressure, product concern, or safer gambling weakness. A sportsbook should not move forward only because one number looks strong.
Use the right chart for each decision:
Start by reading demand and risk side by side. Demand shows where bettors show interest. Risk shows where the business may face trust problems, regulatory pressure, product concern, or safer gambling weakness. A sportsbook should not move forward only because one number looks strong.
Use the right chart for each decision:
| Decision Question | Useful Chart | How to Read It |
|---|---|---|
| Which Sports Drive Demand? | Ranked bar chart | Sort sports from highest to lowest betting activity |
| When Does Demand Rise? | Calendar heatmap | Show peaks around tournaments, finals, or major match days |
| Where Does Trust Weaken? | Journey funnel | Track drop-off at deposit, verification, bet placement, or withdrawal |
| Which Products Need Caution? | Demand vs risk matrix | Compare user interest with concern level |
| How Strong Is Offshore Competition? | Side-by-side comparison chart | Compare licensed sportsbook users with offshore-aware bettors |
| Are Safer Gambling Tools Visible? | Awareness vs usage chart | Compare tool awareness with actual use |
Each chart should answer one business question. Keep labels simple, sort data clearly, and avoid showing too many segments in one visual. If a chart needs a long explanation, split it into two smaller charts.
After the charts are reviewed, turn the findings into a data story:
After the charts are reviewed, turn the findings into a data story:
- Signal: What does the data show?
- Meaning: Why does it affect the sportsbook decision?
- Action: What should the business do next?
For example:
Live betting interest may be high among regular bettors. If the same group reports confusion when odds change quickly, the roadmap should not only recommend promoting live betting. It should also recommend clearer odds explanations, better cash-out messaging before scale.
The final roadmap should translate the analysis into decisions such as entering the market, delaying investment, improving payment trust, adjusting sponsorship, reducing exposure to risky products, or strengthening safer gambling controls.
What a custom sports betting research project can deliver:
Live betting interest may be high among regular bettors. If the same group reports confusion when odds change quickly, the roadmap should not only recommend promoting live betting. It should also recommend clearer odds explanations, better cash-out messaging before scale.
The final roadmap should translate the analysis into decisions such as entering the market, delaying investment, improving payment trust, adjusting sponsorship, reducing exposure to risky products, or strengthening safer gambling controls.
What a custom sports betting research project can deliver:
| Output | Business Use |
|---|---|
| Market Entry Scorecard | Compare countries by demand, trust, payment readiness, legal access and risk |
| Bettor Segmentation Model | Identify casual bettors, bonus hunters, live bettors, VIPs, lapsed bettors |
| Trust Gap Map | Show where users hesitate across signup, deposit, bet placement and withdrawal |
| Sportsbook Brand Funnel | Measure awareness, consideration, usage, preference and switching intent |
| Product Risk Matrix | Compare demand vs concern for live betting, player props, cash-out, rewards |
| Sponsorship Response Analysis | Identify which placements build trust vs create public discomfort |
| Safer Gambling Journey Audit | Find where users notice, understand or ignore protection tools |
| Action Roadmap | Prioritize what to launch, improve, delay or test further |
In practice, the research scope depends on the business objective, internal research capacity, market complexity, and timeline. A sportsbook team does not always need to run every step internally.
Use sample-only support when your team already has the survey platform, questionnaire, and analysis plan. In this model, the research partner focuses on recruiting verified bettors, sportsbook users, sports fans, or other qualified respondents. Your team keeps control of the survey and analysis while the partner supports respondent quality and fieldwork delivery.
Use full-service research when the study needs end-to-end execution, such as market entry, multi-country comparison, licensing feasibility, bettor segmentation, or safer gambling research. In this model, the research specialist handles the design, sampling, data collection, processing, analysis, and reporting. Your team can focus on bettor insight, commercial impact, and the final business decision.
Use sample-only support when your team already has the survey platform, questionnaire, and analysis plan. In this model, the research partner focuses on recruiting verified bettors, sportsbook users, sports fans, or other qualified respondents. Your team keeps control of the survey and analysis while the partner supports respondent quality and fieldwork delivery.
Use full-service research when the study needs end-to-end execution, such as market entry, multi-country comparison, licensing feasibility, bettor segmentation, or safer gambling research. In this model, the research specialist handles the design, sampling, data collection, processing, analysis, and reporting. Your team can focus on bettor insight, commercial impact, and the final business decision.
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Disclaimer:
TGM Research is not a gambling operator, sportsbook, betting affiliate or gambling promotion website. We provide market research and consumer insight services for business, academic, and industry research purposes. We do not accept or place bets, and we receive no affiliate revenue from businesses that do. There is no monetary incentive for our readers or subscribers to place bets.
We discuss gambling on our website solely for editorial purposes. We do not participate in or encourage gambling. We also make no claim to understand the local laws governing sports betting in our readers' jurisdictions. All visitors to our website must conduct their own research into local laws in their respective countries.
We do not encourage gambling participation. Our role is to provide independent research, consumer insight, and data collection services to help organizations understand markets, behavior, trust, risk, and responsible engagement.
TGM Research is not responsible for our readers' actions after they leave our site. Our sports betting data is only provided for editorial purposes. By visiting our website, you agree that TGM Research will not be held liable for your gambling/betting decisions or any losses that may result from those decisions and activities after you leave our site.
We discuss gambling on our website solely for editorial purposes. We do not participate in or encourage gambling. We also make no claim to understand the local laws governing sports betting in our readers' jurisdictions. All visitors to our website must conduct their own research into local laws in their respective countries.
We do not encourage gambling participation. Our role is to provide independent research, consumer insight, and data collection services to help organizations understand markets, behavior, trust, risk, and responsible engagement.
TGM Research is not responsible for our readers' actions after they leave our site. Our sports betting data is only provided for editorial purposes. By visiting our website, you agree that TGM Research will not be held liable for your gambling/betting decisions or any losses that may result from those decisions and activities after you leave our site.
FAQs
1. Can sports betting market research be used in grey markets?
Yes, but the objective should be clear. In grey markets, research should not treat active betting demand as a simple entry signal. It should examine bettor behavior, offshore usage, payment habits, platform trust, and possible regulation changes.
2. How should sportsbook teams handle country-level regulation differences?
Country-level regulation should be treated as a core research variable, not background context. A sportsbook study should separate markets by licensing access, tax pressure, advertising limits, payment rules, and safer gambling obligations before comparing bettor demand.
A demand score becomes useful only when it is read beside the country’s operating conditions. Moderate demand in a market with clearer rules and stronger payment systems gives teams a stronger base for planning.
A demand score becomes useful only when it is read beside the country’s operating conditions. Moderate demand in a market with clearer rules and stronger payment systems gives teams a stronger base for planning.
3. How should risk be built into the research design?
Risk should be defined before fieldwork starts. You should decide which risks matter most for the decision, such as licensing risk, payment risk, offshore leakage, sponsorship backlash, player prop integrity, or safer gambling exposure.
Each risk should have a signal to measure. Payment risk may be measured through withdrawal confidence and deposit friction. Sponsorship risk may be measured through fan discomfort and perceived closeness between betting brands and sport.
Each risk should have a signal to measure. Payment risk may be measured through withdrawal confidence and deposit friction. Sponsorship risk may be measured through fan discomfort and perceived closeness between betting brands and sport.
4. How should sports calendar pressure be managed in research?
Sports calendar pressure matters because bettor behavior changes around major events. A survey run during a World Cup, derby week, or finals period may capture unusually high attention.
The study should mark the timing of fieldwork clearly and avoid treating event-period behavior as normal monthly demand. For event-driven research, compare pre-event interest, in-event behavior, and post-event retention signals when the scope allows.
The study should mark the timing of fieldwork clearly and avoid treating event-period behavior as normal monthly demand. For event-driven research, compare pre-event interest, in-event behavior, and post-event retention signals when the scope allows.
5. How should multi-country sports betting research stay comparable?
Multi-country research needs one consistent core questionnaire and a small layer of local adaptation. The core questions allow to compare demand, trust, and product interest across countries. Local questions capture market-specific issues such as regulation, payment habits, popular sports, or sponsorship sensitivity.
Without this structure, each country may produce interesting findings, but the results become difficult to compare at board level.
Without this structure, each country may produce interesting findings, but the results become difficult to compare at board level.
References
- American Gaming Association. (2026, May 26). Commercial gaming revenue tracker. https://www.americangaming.org/resources/commercial-gaming-revenue-tracker/
- Gambling Commission. (2026, April 6). Extract of Licence Conditions and Codes of Practice (LCCP) for betting. https://www.gamblingcommission.gov.uk/licensees-and-businesses/lccp/print/betting
- Gambling Commission. (n.d.). Gambling licence information, guidance and advice for businesses and individuals. Retrieved June 17, 2026, from https://www.gamblingcommission.gov.uk/licensees-and-businesses/
- National Basketball Association. (2024, April 17). Jontay Porter banned from NBA for violating league’s gaming rules. NBA.com. https://www.nba.com/news/jontay-porter-banned-from-nba
- National Collegiate Athletic Association. (2025, November 18). NCAA study finds over one-third of DI men’s basketball student-athletes harassed by bettors. NCAA.org. https://www.ncaa.org/news/2025/11/18/media-center-ncaa-study-finds-over-one-third-of-di-mens-basketball-student-athletes-harassed-by-bettors.aspx
- Reuters. (2025, April 8). Brazilians wager up to $5.1 bln a month on online betting, central bank says. https://www.reuters.com/world/americas/brazilians-wager-up-51-bln-month-online-betting-central-bank-says-2025-04-08/
- Secretaria de Comunicação Social. (2024, December 26). Regulations introduced by the Secretariat of Prizes and Betting will place Brazil in a regulated betting market by 2025. GOV.BR. https://www.gov.br/secom/en/latest-news/2024/12/regulations-introduced-by-the-secretariat-of-prizes-and-betting-will-place-brazil-in-a-regulated-betting-market-by-2025
- SportsJobs Online. (n.d.). A guide to sports betting data analysis. Retrieved June 17, 2026, from https://www.sportsjobs.online/blogposts/46
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