Data Driven Game Development The Key to Innovation
Christine Parkhill, Chief Commercial Officer at Just Slots, explores the transformative role of data- driven game development, the hidden risks of neglecting data and the best practices for building the next generation of immersive iGaming experiences.
British economist and author Ronald Coase once said, “Torture the data, and it will confess to anything.” In the fiercely competitive iGaming landscape, leveraging data to gain valuable insights into all aspects of game development has become essential. Today, the industry can harness real-time analytics to create personalised and engaging experiences.
Yet, many in the industry are under-utilising data and as a result are falling behind. Tose who fail to leverage data for continuous improvement risk higher player drop-out rates, missed revenue opportunities and increased exposure to fraud.
THE POWER OF DATA IN IGAMING INNOVATION
Te evolution of data analytics, from simple tracking to AI-driven insights has revolutionised the way iGaming companies develop, launch and refine their games. Data is a valuable commodity that allows developers to fine-tune mechanics, understand player behaviour and streamline the development process in order to give themselves a competitive edge.
Understanding how player data is collected is one of the most important steps of this development process, as knowing its origin can impact how it is applied.
THE WELL OF KNOWLEDGE: UTILISING PLAYER DATA POOLS
Tere are many sources of player data to choose from and all provide nuanced insights into player behaviour, ranging from engagement with the game through to more nefarious interactions within the product ecosystem. Some of these sources include:
Real-time behaviour tracking: Analysing player behaviour in real- time allows personalised experiences and timely interventions by operators to enhance engagement.
Monetisation and market growth: Maximising your Average Revenue Per User (ARPU) helps developers fine-tune in-game purchases and promotions.
Te value of data extends across the entire business. Beyond gameplay, player data also strengthens compliance, customer support and finance. By consolidating data across these functions, businesses not only reduce errors but create a seamless, player-centric ecosystem that drives both trust and profitability.
THE HIDDEN COST OF UNDERUTILISING DATA
Te iGaming industry thrives on data-driven personalisation and immersive social interactions, yet failing to leverage data effectively
47
Engagement metrics: Daily Active Users (DAU) and Monthly Active Users (MAU) provide insights into game popularity. A strong DAU/MAU ratio indicated sustained engagement. A retention rate above 45 per cent on launch day is considered excellent.
Gameplay performance: Te win-loss ratio is useful to track difficulty spikes or design flaws that may hinder progression.
Fraud detection and AI insights: Machine learning algorithms detect suspicious betting patterns, unusual withdrawals and bot activity. AI- driven fraud detection has reduced manual fraud reviews by 20 per cent and manual queries by 40 per cent.
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 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116 |
Page 117 |
Page 118 |
Page 119 |
Page 120 |
Page 121 |
Page 122 |
Page 123 |
Page 124 |
Page 125 |
Page 126 |
Page 127 |
Page 128 |
Page 129 |
Page 130 |
Page 131 |
Page 132 |
Page 133 |
Page 134 |
Page 135 |
Page 136 |
Page 137 |
Page 138 |
Page 139 |
Page 140