The intent behind the numbers

Adam, everyone expected record betting volumes from the World Cup, but where did operators’ assumptions prove right and wrong once you’d analysed player behaviour at scale?

The industry handled the scale of the World Cup extremely well. But value was still left on the table. Player expectations are changing faster than the sportsbook experience itself. Consumers increasingly expect experiences to be real time, relevant and individual, while much of sportsbook marketing and UX remains relatively static.

One interesting signal is the speed at which prediction markets have gained traction. I wouldn’t overstate the comparison, but they do point to something important: consumers are increasingly comfortable with experiences that feel immediate, dynamic and event-led.

The underlying expectation is worth paying attention to. Players increasingly expect digital products to respond to what is happening now, rather than simply present a static set of choices. The new reality is that engagement needs to become a continuous decision-making process.

Every meaningful moment in every World Cup match created a new opportunity to understand intent, inspire action and shape the next interaction, and that is where I think the next competitive advantage will come from. Future growth will increasingly be driven by intelligence, understanding the customer, understanding the moment, and acting on both in real time.

How quickly could your models identify which World Cup customers would become long-term players?

From a customer’s first few interactions, you can start identifying signals around intent: what they bet on, how frequently they return, whether they bet in-play, how they respond to different moments and how their behaviour develops between matches. But the model should then continuously update its understanding as that behaviour changes.

The interesting question isn’t simply, “Will this customer stay?” It is actually what would make this particular customer want to come back tomorrow, or next week, and how do we give them the experience that inspires them and compels them to transact?

That is where AI changes the equation. Instead of waiting until games, tournaments or weeks are over and running a retention campaign, operators can recognise intent while it is forming and adapt the experience in real time. By the time you know somebody has churned, you’ve already lost the opportunity.

What player behaviour did you detect that would have been virtually impossible for an analyst or CRM team to identify manually?

The biggest thing is the sheer speed and complexity of behavioural change. The same moment in a match can mean something completely different to thousands of individual customers.

A yellow card might push one player towards the next booking market, reduce another player’s confidence in a goalscorer bet, trigger someone else to cash out, and lead another towards an in-play Bet Builder.

Then the game changes again, a substitution, a goal, a red card, and intent shifts with it. Traditional CRM can see that customers are active, whereas behavioural AI can understand how and why each individual customer’s intent is changing and decide what the next best interaction should be in real time.

That is the part no analyst or CRM team can do manually at scale, and the difference is between analysing what customers did yesterday and understanding what they want now.

Looking back across the tournament, which interventions genuinely changed player behaviour?

The biggest lesson was simple: timing beats incentive. For example, a £5 free bet delivered at the wrong moment is worth less than the right recommendation delivered when intent is peaking.

That is where AI changes the game. A goal, red card or substitution can reshape customer intent instantly. The winning intervention is the one that recognises that shift and acts before the window closes. The best-performing interactions were not necessarily the richest offers. They were the most relevant, delivered at the right moment.

That is a fundamental shift for sportsbook engagement: less blanket promotion and more intelligence, less campaign thinking and more real-time decisioning. The opportunity is not to communicate more, but to act at the exact moment a customer is most likely to care.

How much value was lost because operators reacted late?

Probably far more than most operators realise. In live sport, the value of a moment decays incredibly quickly. A goal, red card or substitution can change customer intent in seconds. Yet many traditional engagement systems still react in hours or even days.

By then, the opportunity hasn’t simply become less valuable. It has often disappeared entirely.

That was one of the clearest lessons from the World Cup: latency has a direct commercial cost. Every gap between understanding what a customer wants and acting on it is value being left on the table.

The bigger change, however, is that behavioural AI doesn’t simply identify declining engagement earlier; it can react to it in real time. Traditional KPIs are retrospective, telling you what happened, whereas behavioural AI continuously understands how an individual customer’s behaviour is changing (reduced exploration, shorter sessions, different market preferences, declining interaction) as those signals emerge.

It can then decide the next best action, create the appropriate experience and execute it immediately. That is a completely different dynamic. Instead of identifying a declining segment weeks later and building a retention campaign, the system can recognise changing intent at an individual level and respond while there is still an opportunity to influence the outcome. It moves the operator from measuring decline to acting on it in real time.

Did your data identify player segments that represent a much bigger long-term opportunity than operators assume?

Yes, but I think the more important point is that AI starts to make traditional segmentation much less relevant. Customers do not behave like fixed segments. Their intent changes constantly depending on the sport, the match, the moment, the market and their own recent behaviour.

So rather than asking, “Which segment is this customer in?”, the better question is, “What does this individual want right now, and how is that changing?” That reveals opportunities traditional segmentation can easily miss.

A customer who looks relatively low-value on historical averages may show very strong signals around in-play, certain competitions, player markets or specific live moments, so the long-term opportunity is not to create more segments, but to understand what matters to each customer as their behaviour changes and act on those signals in real time.

Are operators measuring the wrong things?

Traditional KPIs still matter; NGR, contribution margin, active days, conversion. But they mostly tell you what happened. The competitive advantage now comes from understanding why it happened, and what is likely to happen next.

Why is one player becoming more engaged? Why is another drifting away? What is changing in their behaviour before the revenue number moves?

Take two customers with the same NGR over a month. One is broadening into more markets, betting more in-play and returning more frequently. The other is visiting less, exploring fewer markets and focusing more around major fixtures and bigger bets. On a traditional dashboard they may look similar, but their underlying drivers are completely different. Behaviourally, they are moving in completely opposite directions.

That is the difference. The future is not just measuring performance, it is understanding the intent underneath it. Delivering this at scale, in real-time on a 1:1 player basis isn’t something legacy technology and analytics can deliver.

What’s the single biggest World Cup insight the industry still underestimates?

The World Cup didn’t simply create more betting activity; it created millions more behavioural decisions. Every substitution, yellow card, red card, injury, VAR review and momentum swing changed player intent differently for millions of individuals.

The sporting event is only half the story, and the real opportunity is understanding how each customer reacts to that event, in real time. That is why I think the next generation of operators won’t compete on campaigns. They’ll compete on intelligence.

The organisations that win won’t simply have more AI features, they’ll continuously understand every customer, make millions of intelligent decisions every day and act before the opportunity disappears.