u


Momentum Score: Compares short-term betting intensity to the user’s baseline, helping us detect high engagement


u


Confidence Proxy: Tracks win/loss streaks to measure user confidence and adapt the experience accordingly


u


Engagement Decay: Measures the rate of activity decline, which helps us identify when users are disengaging


u


Event Affinity: Indicates how likely the user is to engage with World Cup events versus non-World Cup ones


For example, if a user’s confidence drops after a loss, BETBY’s AI will surface lower-risk bets or data-driven betting tips to help restore confidence. Based on internal comparisons across our partner operators, the same events attract 126 per cent more players and generate 160 per cent more bets when betting tips are enabled, as they reduce uncertainty and help users engage with markets more confidently.


On the other hand, basic systems tend to ignore confidence levels u


reduces the steps to bet placement, making it easy for users to place quick bets. For longer sessions, especially with hesitation, BETBY surfaces simplified bets and statistical insights to help re- engage users


Timing: BETBY’s AI knows when users are most likely to re- engage and adjusts the UX accordingly. For example, if a user’s activity drops after a controversial match moment, the system will surface timing-sensitive content to encourage them to come back when they’re most receptive


Conversely, AI-powered systems that don't take these factors into consideration will end up surfacing disconnected content, treating all users within a similar demographic situation the same and failing to respond to emotional shifts in real-time.


THE CONSEQUENCES OF BASIC AI-PERSONALISATION During the World Cup, users experience shorter sessions, more intense emotions, and rapid shifts in attention. In the end, this means every UX decision counts. As an answer to that, BETBY’s real-time,


While traditional systems fail to adapt to these shifts,


showing the same content regardless of user engagement, BETBY’s AI system continuously learns from user actions. Tis ensures relevant content is always front and center,


boosting both acquisition and retention. DANIL EMELYANOV Head of AI Labs BETBY


and push high-risk markets, failing to tailor offerings to the user’s current emotional state.


TRANSFORMING UX IN PRACTICAL TERMS Here’s how BETBY’s adaptive UX works in practice: u


state-aware UX provides hyper-personalised experiences, ensuring that users stay engaged whether they’re in a high-intensity moment or a period of hesitation.


Homepage Composition: For high-momentum users, the system prioritises live markets, while for low-momentum users, it simplifies the experience by offering high-confidence markets like penalty bets


Market Ordering: Rather than showing markets based on global popularity, BETBY ranks them by predicted engagement, ensuring that users see relevant options based on their emotional state u Friction Control: For short sessions with high intent, BETBY


u 26


While traditional systems fail to adapt to these shifts, showing the same content regardless of user engagement, BETBY’s AI system continuously learns from user actions. Tis ensures relevant content is always front and centre, boosting both acquisition and retention.


In the next article of this mini-series, we’ll explore how BETBY’s churn prediction system uses these same behavioural insights to predict user disengagement during the World Cup, allowing operators to act proactively and retain users at crucial moments.


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52  |  Page 53  |  Page 54  |  Page 55  |  Page 56  |  Page 57  |  Page 58  |  Page 59  |  Page 60  |  Page 61  |  Page 62  |  Page 63  |  Page 64  |  Page 65  |  Page 66  |  Page 67  |  Page 68  |  Page 69  |  Page 70  |  Page 71  |  Page 72  |  Page 73  |  Page 74  |  Page 75  |  Page 76  |  Page 77  |  Page 78  |  Page 79  |  Page 80  |  Page 81  |  Page 82  |  Page 83  |  Page 84  |  Page 85  |  Page 86  |  Page 87  |  Page 88  |  Page 89  |  Page 90  |  Page 91  |  Page 92  |  Page 93  |  Page 94  |  Page 95  |  Page 96  |  Page 97  |  Page 98  |  Page 99  |  Page 100  |  Page 101  |  Page 102