Troy Kirwin的动态

?? New Market Map: AI/ML LiveOps Tools Here are the AI/ML driven LiveOps tools that will help game devs grow, monetize and retain their player base It's been a rough few years for game studios with squeezed margins from IDFA/ATT, increasing production costs, more games than ever to differentiate against, etc Here are 4 ways AI/ML can help studios fight back and build a more profitable biz: 1. Ad creative generation The time and cost to produce ad creatives for User Acquisition is not trivial. Creating and identifying effective ad creatives can lower a publisher's CPI by >10x (no matter the underlying game). The smallest optimizations (color, wording, avatar gender, localization, voiceover, etc) will add even more alpha. Generative AI will unlock a continuous pipeline of ad creative A/B testing, iteration and optimization on autopilot. With lower CPIs, advertisers will be able to buy more users for the same price. Soon, each ad creative may even be personalized 1:1 to the end user See co's Sett, Replai and INCYMO.AI 2. LTV optimization Once a user is acquired, how can a publisher maximize the revenue per user while retaining users longer? F2P games monetizing through IAP can leverage massive data and ML models for personalization to: - deliver the most relevant IAP offer based on in-game contextual information to increase payer conversion - run real-time pricing optimization Games can improve retention through: - dynamic, smart game balancing - more tailored and personalized content - predictive analytics for churn risk and automatic reengagement strategies with special offers or in-game events See Assetario, wappier, UserWise, ByteBrew, Golden Whale, Balancy, NumberEight, Kinoa, 3. Improved fraud / bot detection Fraudsters in gaming get more clever every year as the stakes for deception increase. Cheaters and scammers ruin the player experience and lead to churned users. Examples of fraud in games include: - Automated bots to farm resources and troll - Exploiting game bugs - Fake game installs/UA Fraud - Player theft This will only increase with AI. Though developers can also fight back with AI LiveOps tools of their own for monitoring, protection and intervention. Ensuring safe and fair multiplayer game communities helps retain hard earned players longer See Quago - Game intelligence , Anybrain, Verisoul 4. Toxicity management and moderation In a 2023 report commissioned by Unity, 76% of players said they avoid games known for their harmful communities. AI/ML can help developers protect their community. e.g., Modulate uses ML to monitor in-game voice chat to flag and proactively address bad behavior tl;dr AI/ML LiveOps tools will be used throughout the lifecycle of a game to find an audience, improve monetization and nurture retention through balanced, safe and fair gameplay. We're excited about this AI LiveOps space. If you're building here, reach out and apply to A16Z GAMES SPEEDRUN