Case Study
Reliance Industries Limited, one of India’s largest conglomerates, operates Jio Platforms, which includes JioGames. JioGames provides a diverse gaming experience, accessible through Jio Phones and Jio Fiber set-top boxes, serving millions of users nationwide with an extensive game library.
Engaging users in the gaming sector can be difficult due to high churn rates, which can quickly deplete the user base. Personalization is crucial for maintaining engagement and increasing session durations.
JioGames encountered several key challenges:
CAI Stack deployed its advanced AI platform to personalize JioGames' user experience, focusing on data streamlining and game-specific recommendations to improve engagement.
We integrated all data sources into centralized data lakes, providing a unified view of user behavior and ensuring easy access to essential data.We then trained and tested machine learning models based on efficacy to predict user behavior, helping us to deliver personalized recommendations effectively.
We developed detailed game-specific insights based on user statistics, usage patterns, and churn data. This allowed us to identify user clusters based on game preferences, enabling us to recommend the most relevant games to each player. Additionally, we improved game discoverability with personalized search results, ensuring users could easily find engaging content. We also designed recommendations for an optimal gaming experience, including an auto-switch feature that adjusts between portrait and landscape phone layouts for seamless gameplay.
By implementing CAI Stack’s AI-driven solutions, JioGames achieved significant improvements in user engagement, retention, and overall gaming experience.
CAI Stack provided JioGames with deep insights into user engagement and game-specific metrics, allowing the platform to track and understand user behavior more effectively. This data-driven approach helped identify key engagement trends and areas for improvement, contributing to more informed decision-making.
The AI-powered recommendation engine improved personalization by analyzing user preferences and patterns. By clustering users based on game behaviors, JioGames was able to suggest the most relevant games to each individual, leading to higher engagement and longer session times.
With more relevant search results and personalized game suggestions, game discoverability was significantly improved. This optimization played a key role in increasing user retention, ensuring that players found engaging content quickly, reducing churn and enhancing overall satisfaction.
CAI Stack’s design enhancements, including auto-switching between phone layouts (portrait and landscape), contributed to a smoother and more enjoyable gaming experience. This ensured that users could easily navigate the platform, regardless of their device, leading to higher satisfaction and increased session lengths.
As a result, JioGames was able to significantly improve user engagement and retention through CAI Stack’s personalized solutions. These solutions optimized game discoverability, refined content recommendations, and provided deeper insights, leading to higher user satisfaction and increased revenue.
Million Jio subscribers.
Pre-installed games on Jio phones
Million total user base
Million daily active users
CAI Stack AI personalization solutions helped JioGames optimize user engagement by integrating various data sources and using machine learning models. This approach allowed JioGames to offer personalized experiences, improving game visibility and user retention. The platform’s ability to provide relevant recommendations and insights created a more engaging user experience, helping JioGames stand out in the competitive gaming market.
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