Agentic AI in action: How DevRev helped a leading gaming studio scale

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The company


A leading global mobile esports platform allows users to join free and paid competitions across more than sixty games spanning fantasy sports, sports titles, puzzles, casual games, and board games. Founded in 2018, the platform runs hundreds of millions of tournaments each month and is trusted by more than ninety million registered users across Asia, Europe, and North America.

The challenge

Prior to DevRev, the company faced critical challenges in understanding and optimizing user behavior across their massive gaming platform. With millions of sessions monthly across more than sixty games, the product team struggled to identify conversion barriers and optimize the user experience effectively.

The engineering organization was overwhelmed by performance monitoring challenges. Manual analysis of user behavior patterns, service call performance issues, and app exceptions consumed valuable resources that could have been directed toward feature development and innovation. Traditional reactive approaches to problem-solving meant that critical user experience issues were often discovered too late, impacting player retention and monetization.

The siloed nature of our analytics tools prevented us from implementing a systematic approach to understanding why users were dropping off and what changes would drive meaningful improvements in engagement and conversion rates.

The solution

In 2024, the company adopted DevRev to revolutionize their approach to understanding and optimizing user behavior. Unlike traditional AI assistants that merely provide suggestions, DevRev's agentic AI takes initiative, conducting comprehensive user behavior analysis from start to finish and proactively presenting actionable insights. This allowed Computer for user insights to act not as just another passive analytics tool, but as a strategic teammate that understands user context, anticipates optimization needs, and drives improvements forward without constant manual intervention.

The company particularly valued DevRev's agentic AI capabilities, which consolidated their fragmented user behavior data sources and enabled intelligent, autonomous analysis of user drop-off patterns. The system identified conversion barriers and automatically generated recommendations for the product and design teams. This shift from reactive to agentic AI resulted in significant business impact, enabling faster decision-making around feature optimizations, reducing manual overhead in user behavior analysis, and scaling positive outcomes across their more than ninety million players.

DevRev gave us the intelligent system we needed, where user behavior insights are generated proactively, and optimization recommendations are surfaced automatically, creating a continuous feedback loop for improvement.

The impact

Since implementing DevRev, the company has experienced transformative results on their gaming platform. The product team used DevRev's intelligent analysis to identify and overcome barriers to conversion, resulting in measurable improvements in user engagement and monetization. This success inspired the design team to adopt Computer for user insights as well, employing it to validate and enhance new in-app features. This agentic AI streamlines traditional user research into automated insights, allowing teams to focus on strategic feature development and creative solutions.

The engineering team also leverages DevRev to autonomously analyze performance metrics from over one million sessions monthly. The system proactively detects service call performance issues and minimizes app exceptions, ensuring optimal platform performance at scale. User experience optimization has accelerated significantly, with AI-driven insights enabling faster feature iterations aligned with actual user behavior patterns. The platform's ability to anticipate user needs and provide relevant optimizations has decreased time to insight and enhanced the quality of product decisions.

The switch to DevRev transformed how our teams operate. We now spend less time manually analyzing user data and more time building features that directly address our players' most pressing needs and preferences

Top features

  • Intelligent performance monitoring across millions of gaming sessions with autonomous exception detection
  • Automated insight generation for product and design teams to validate and enhance features
  • Proactive optimization recommendations that surface without manual intervention
  • Cross-functional intelligence sharing between product, engineering, and design teams
  • Scalable analytics framework that grows with platform expansion and user base growth
  • Real-time performance optimization ensuring seamless gaming experiences across all supported games
  • AI-powered user behavior analysis that proactively identifies drop-off patterns and conversion barriers

The benefits

  • Enhanced conversion rates through AI-identified and addressed user behavior barriers
  • Improved product development velocity with automated validation of new in-app features
  • Proactive performance optimization ensuring optimal service call performance and minimized app exceptions
  • Reduced manual analysis overhead allowing teams to focus on strategic feature development
  • Scalable insights infrastructure supporting analysis of millions of user sessions monthly
  • Unified user behavior intelligence accessible across product, design, and engineering teams
  • Data-driven feature prioritization based on actual user engagement patterns and preferences