A comprehensive roundtable discussion around leveraging data for continuous improvement and success in live service games.

• Design Innovation through Data - Discuss how data influences game design choices. Explore case studies where player feedback and gameplay data shaped design updates.
• Gaining and Utilizing Audience Insights - Techniques for collecting and analysing player data. How insights from data help tailor the gaming experience to meet player expectations.
• Strategies for Effective Rollouts - Best practices for using data to determine rollout phases for new features or content. Discuss the impact of data on minimizing risks during launch.
• Managing Content Cadence and Monetization - Balancing content release schedules based on player engagement data. Data-driven strategies for monetization without compromising player satisfaction.

Harris Kaldis

Director of Product
FM GAMES

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• Starting with your audience: How and from where do you gather insights about your audience, what they care about and defining a cadence for this
• Prioritizing feedback, running A/B tests and building your roadmap; with examples/case studies.
• How do you engage and maintain a dialog with your community and improve player sentiment while continuing to monetize your game.

Anila Andrade

Head of Operations
Socialpoint

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Targeted at game development professionals, this workshop provides practical insights and strategies for enhancing product roadmaps and achieving go-to-market success with live service games. The session will delve into data management, community building, monetization tactics, and risk management.

• Identifying and Understanding Your Audience: Utilize data capabilities to gather insights on demographics that resonate with your game, enabling targeted marketing and engagement strategies.
• Packaging the Monetization of the Game: Explore innovative monetization models that align with user expectations and market trends, ensuring profitability while maintaining player satisfaction.
• Data-Led Decision-Making and Risk Management: Establish robust data governance frameworks to support decision-making and manage risks associated with tech infrastructure and team resourcing.
• Content Cadence for Community Growth: Develop a sustainable content delivery strategy that keeps the community engaged and helps grow your market presence.
• Exploring Future Business Models and Improving Perceptions: Investigate potential business models beyond the prevalent free-to-play economy, addressing negative perceptions around "game as service" or "live service" models by emphasising value, transparency, and player-centric innovations to counter the association with exploitative practices.

• Understand where these two key platforms differ when it comes to launching a live service title.
• Learn the unique challenges that each face and the clear and visible impact that mobile gaming has had on the live service model in regard to analytics, content delivery and more.
• Gain insights from experienced industry professionals on how to compete with larger publishers with vast resources as an indie studio in the live service space on both mobile and PC and how small studios develop live service games, often competing against developers and publishers with large teams.

Aaron Ludlow

Product Director
Playstack

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Matthew Wiggins

CEO
Mojiworks

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• Real-time data capabilities: Enabling live ops teams to get insights in the moment for key events and releases. Delivering personalization which is fresh using real-time targeting and analytics capabilities.
• Data-informed culture: Building approaches that provide strategic analyses with more experimentation.
• No more silos: cross-cloud capabilities with our ingestion capabilities, data exchanges, and live service tools (player messaging, delivery, and testing), along with improving data team bandwidth.
• Data governance: Enabling central data governance teams to support studies with the data catalog.

• Automating Game Updates and Patches: Utilize AI to automate the deployment of game updates and patches, ensuring smooth rollouts and minimizing disruptions, thereby enhancing player satisfaction and retention.
• Dynamic Content Adjustment: Employ machine learning algorithms to analyse in-game behaviour and preferences, allowing for real-time adjustments to game content, difficulty levels, and player matchmaking to maintain engagement and balance.

• Better experimentation, personalization, and live service tools: Upgrading the usability of live ops and life cycle management tools, including player messaging, experimentation, recommendation services, and ML deployment platform. Addressing issues in onboarding, player data ingestion, and experimentation monitoring and tracking features.
• Custom Events: Flexible event design so teams could easily create the metrics and features they wanted rather than create larger, heavily rigid events with fixed dimensions.