By Andy Evers, SVP Commercial
Everyone talks about personalisation, but what does that really mean in a world where we already have access to everything we could possibly want?
Today, consumers are faced with an overwhelming abundance of choice. There are thousands of games available at any given moment, an endless number of sports markets to bet on, and entire libraries of content across multiple platforms. During moments like the World Cup, that choice expands even further. Hundreds of matches, thousands of betting markets, and countless ways to engage with the same event.
In theory, this level of access should empower users. In reality, it often does the opposite creating friction, indecision, and ultimately a reliance on systems to guide us. This is not unique to iGaming, as we see it everywhere. We rely on recommendations to choose what to watch, what to listen to, where to eat, and even where to travel. Faced with too many options, we don’t explore more, we filter more. We trust systems that help us decide.
This is not simply a marketing trend; it is a behavioural shift. Research consistently shows that over 70% of consumers now expect personalised experiences, and more than three-quarters feel frustrated when those experiences are not delivered. At the same time, platforms such as Netflix report that up to 80% of user engagement is driven by recommendation algorithms. The implication is clear: users are no longer just choosing content, they are being guided towards it.
This raises an important question for our industry. Are we still operating in a world of player segmentation, or are we moving towards something fundamentally different?
Traditionally, segmentation has been about classification. Players are grouped into categories such as VIP, casual, sportsbook, or casino-focused, and operators build campaigns and experiences around those predefined segments. While this approach has served the industry well, it is inherently static, assuming that behaviour is predictable and consistent, when in reality it is neither.
Behaviour is dynamic. It changes based on context, outcomes, timing, and emotion. This is especially visible during large-scale events like the World Cup, where player behaviour becomes more intense, more frequent, and less predictable. A casual player may suddenly become highly active. A sportsbook user may explore new markets. A player may shift behaviour within a single session, influenced by a goal, a result, or a moment.
Behaviour is not just shaped by what happens inside the platform. It is influenced by what is happening outside of it as well. Public holidays, weather patterns, major cultural moments, and even time of day all play a role in how players engage. Cold weather, for example, has been consistently linked to increased time spent indoors and higher levels of digital entertainment consumption, which in turn can drive higher engagement and spending. A long weekend or public holiday can shift play patterns entirely, extending session times or changing peak activity windows. These are not planned events in the traditional sense, but they materially impact behaviour. The reality is that player intent is constantly evolving, often in response to factors that cannot be predicted in advance. True player segmentation, and more importantly true personalisation, lies in the ability to detect these shifts as they happen and respond instantly. It is not enough to prepare for known events like the World Cup, the real advantage comes from having the systems in place to adapt to everything else, the unplanned, the contextual, and the unexpected.
Scientific studies into recommendation systems have shown that personalised models do not just respond to behaviour, they actively shape it, reinforcing patterns in real time.This is where the distinction becomes important, with segmentation about grouping what has already happened, where the science is about modelling what is happening now and predicting what comes next.
iGaming, perhaps more than any other sector, is uniquely positioned to operate in this new paradigm. It is an environment defined by real-time interaction, where every action generates immediate feedback and every outcome feeds back into future behaviour. Each bet, each session, and each interaction produces a signal and the question is no longer whether we can collect these signals, but whether we can interpret and act on them in the moment.
Across other industries, this shift is already well established as consumers now expect digital experiences to adapt to them in real time, without effort or delay. These expectations do not exist in isolation, carrying over into every platform a user engages with, including iGaming. For operators, this creates both an opportunity and a challenge to deliver real-time personalisation is not simply a matter of adding new features. It requires a fundamental rethinking of how technology is structured. Fragmented systems make this almost impossible to achieve. When data is separated from decision-making, and decision-making is disconnected from execution, the ability to respond in real time is lost. The result is a reactive system that struggles to keep pace with user behaviour.
At GiG, we have approached this as a systems challenge rather than a feature set. Our platform has been designed as an integrated ecosystem where data, logic, and execution operate as a single architecture.
DataX captures and structures behavioural signals as they occur, providing a continuous, real-time view of player activity. LogicX transforms those signals into decisions, applying rules, automation, and intelligent models to determine the next best action. GRE 2.0, our Game Recommendation Engine, brings this to life at the player level by delivering personalised content and recommendations that adapt continuously as behaviour evolves. This is not segmentation in the traditional sense. It is a live behavioural system.
The distinction matters, particularly as the industry continues to mature. With increasing regulation, rising taxation, and growing competitive pressure, operators need to optimise every aspect of performance. Personalisation is no longer just about engagement; it is about efficiency.
Which brings us back to the original question. In a world where we have access to everything, do we really know what we want? Or are we increasingly relying on systems that understand our behaviour well enough to guide us?
If that is the case, then the role of technology changes. It is no longer about offering more choice. It is about making better decisions on behalf of the user, at the right moment.
Player segmentation was the starting point. What comes next is something far more powerful: a continuous, real-time understanding of behaviour, applied instantly.
It is an evolution of the times that has deeply shaped our industry, and in moments like the World Cup, where choice, intensity, and expectation all peak at once, that evolution becomes impossible to ignore.
