Experience intelligence
In the fiercely competitive iGaming landscape, where operators often share similar games, events, and even promotions, customer experience (CX) and user experience (UX) are no longer optional; they are the ultimate differentiators. But are you truly prioritising them, or is your bad UX silently driving customers away before they even convert?
In a recent episode of 15M Mastery, I shared my insights on why so many iGaming brands are struggling with retention due to poor design, unclear user journeys, and a reactive approach to problem-solving. This isn't just about aesthetics; it's about improving customer retention and revenue targets.
One of the most common and devastating UX pitfalls in digital products is unmet expectations. Users anticipate a certain experience, and when there's a disconnect, be it misleading language, inconsistent interface patterns, or small glitches, they disengage.
I highlight that these minor issues, like a weak registration button, unclear call-to-action (CTA) text, or a CTA being below the fold, can compound across a user's journey, creating enough friction to derail a conversion. A shocking 88% of users stop using an app after it glitches, proving that these seemingly minor issues directly drive customer churn. What's more, it costs 5 to 25 times more to attract new users than to retain existing ones, making a proactive focus on the entire customer journey absolutely critical.
When every brand offers similar games and promotions, UX becomes the key to standing out. I emphasise that customers often have multiple accounts across different operators, and even a single negative experience with one can lead them to abandon it permanently. I advocate for several core UX principles in gaming that can transform user journeys:
Ultimately, for most users who aren't bonus hunting, the simplest and fastest brands become their preferred go-to. Removing friction is a must-have.
Many operators rely on reactive analytics, such as session recordings or support tickets, which notify them after a problem has occurred and the customer may have already left. I stress that the focus needs to shift to proactive research. This means:
The goal is to identify and resolve issues before they arise. It’s also crucial to remember that 91% of customers who experience an issue will simply leave without contacting support. Therefore, focusing on quick resolution and improving the recovery experience for those who do encounter problems is key to reducing churn.
While AI and Machine Learning have long been present in iGaming through personalisation and recommendation engines, the rise of Generative AI is creating new opportunities for automating repetitive tasks in UX.
For UX professionals, this means:
This newfound efficiency allows designers to focus on strategic, visionary, and innovative aspects of their roles, leading to faster iteration and more robust testing.
This is exactly why I built Jurnii AI. Our mission is to help UX, CX and product leaders build better digital experiences, starting with AI-powered benchmarking tools to improve customer experience.
Convincing senior leadership to invest in UX can be challenging, as everyone focuses on ROI and acquisition costs. I recommend UX teams to identify what's important to the business and break it down into actionable metrics. While executives care about commercial metrics like GGR, churn, and conversion, few truly understand the causal relationship between these and UX improvements.
The most impactful UX teams understand the relationship between commercial metrics and the behaviorual experience metrics they can influence.
By building a "KPI tree" that demonstrates how micro-interactions impact these experience metrics, which in turn correlate with commercial outcomes, UX teams can prove their value directly to the business's bottom line. At the end of the day, CX is fundamentally a commercially-driven function, enabling the business to hit its revenue targets.
Many iGaming executives operate under a comfortable illusion. They believe they have a clear view of their competitive landscape because they commission a quarterly agency audit, or because they have a team member manually review competitor homepages every Monday. This is not market awareness. It is a snapshot. In a market that moves daily, relying on quarterly snapshots is a commercial liability. It creates a temporary illusion of safety while leaving you systematically uninformed during the weeks and months between reviews. The modern iGaming market does not wait for your quarterly planning cycles. Competitors adjust their promotional mechanics, alter their onboarding journeys, and launch aggressive acquisition campaigns in near-real-time. Operating without continuous, automated visibility means you are making critical product and commercial decisions using stale evidence. To survive margin compression and protect your player base, you must convert periodic reviews into always-on intelligence.
Many iGaming executives are currently making a costly strategic mistake. They are rushing to integrate generic artificial intelligence into their product and marketing workflows. They deploy off-the-shelf Large Language Model wrappers. They adopt vendor-bundled features that promise to automate copywriting or design reviews. They believe this technology provides a competitive edge. It does not. When every operator uses the same underlying public models, the result is not differentiation. It is commodity parity. In a highly regulated, hyper-competitive market, parity is a slow death. To build a durable commercial advantage, you must move beyond generic tools. You need proprietary, domain-specific intelligence infrastructure. The first wave of AI adoption in iGaming has focused on broad, horizontal models. These models are trained on the open internet. They excel at general writing and basic reasoning. However, they fail when applied to the specific, high-stakes requirements of regulated gaming. They do not understand the commercial mechanics of player journeys. They cannot navigate the complex compliance boundaries of regional regulators. They cannot distinguish between a high-performing transactional interface and a compliant but commercially restrictive flow. To survive margin compression and rising customer acquisition costs, operators must invest in specialized intelligence. You must replace subjective opinion and generic automation with structured, domain-specific benchmarking. This is the only way to convert raw data into net gaming revenue.
The gap between identifying a market shift and reacting to it determines whether you lead or follow. In a commoditised market, operators compete on thin margins. The speed of your decision cycle is a commercial differentiator. Many operators mistake speed for rushing. They make reckless product changes or launch reactionary campaigns with poor data. True speed is different. It is about decision velocity. It is about having the structured intelligence to make decisions at 85% confidence, rather than waiting for certainty that never arrives. If you wait for 100% certainty, the opportunity has already passed.
Transform weeks of manual audits into minutes of actionable intelligence with Jurnii AI, empowering your CX, UX, and Product teams to move faster.
Flexible, on-demand expertise in design, analytics, and research. High-level support scaled to your projects, delivered as needed, without the cost of a full-time hire.
