Broadcasting and Content Providers2024Machine Learning (classification)NLPPredictive AnalyticsRecommendation SystemsB2C
Square Enix Holdings

Square Enix lifts overall email marketing performance 20% and game retention 10% with AI-driven Customer Data Platform

Square Enix built a proprietary AI-driven Customer Data Platform (Single Gamer View) on Google Cloud, achieving a 20% overall increase in email marketing performance and a 10% increase in game retention and completion rates through personalized communications.

Email Marketing Performance20% increase
Game Retention & Completion10% increase
Campaign Peak Performance150 % increase (certain campaigns)
4 min read

Background

Square Enix's player data was scattered across game platforms, marketing systems, and regional databases, making it impossible to build a coherent long-term view of player engagement. GDPR preparation in 2017 catalyzed a decision to consolidate first-party data into a unified platform rather than continue relying on third-party tracking.

What Was Implemented

  • Built Single Gamer View (SGV) on Google Cloud using BigQuery, Vertex AI, PubSub, and Dataflow
  • Unified data from game telemetry, website analytics, sales, advertising, emails, and surveys into a single player profile
  • Deployed contextual bandit ML model for marketing email automation (timing, content, offers)
  • Built self-optimizing recommendation system triggered by in-game player milestones using BigQuery ML
  • Implemented Marketing Mix Modeling (MMM) using centralized SGV data for ROI measurement across channels
  • ML-based player segmentation by play style, character preferences, and content interests (e.g., PvP-focused content for PvP players)

Results

Square Enix's SGV platform delivered a 20% overall increase in email marketing performance , with some campaigns reaching as high as 150% improvement when the recommendation engine effectively addressed long-tail player needs. Game retention and completion rates improved by 10% . The system also dramatically accelerated Marketing Mix Modeling data preparation, which previously took months.

Lessons

  • A unified first-party customer data platform is a prerequisite for meaningful personalization at scale in gaming, where player journeys span years and multiple touchpoints
  • Contextual bandit models enable continuous self-optimization of marketing communications without requiring manual campaign management
  • In-game behavioral data (milestones, play style, character preferences) is a richer segmentation signal than demographics alone for personalizing player engagement
  • Privacy regulations (GDPR) can function as a forcing mechanism to accelerate first-party data strategy investment

Ready to implement AI in your commerce operations?

McFadyen Digital helps teams move from case study to live implementation.

Talk to an expert →