Case Study: Activision achieves real-time social media insights and gamertag matching with Elastic

Activision - Customer Case Study

Activision’s Data Hero initiative tackled two analytics challenges: turning vast streams of player conversations on Twitter into actionable instrumentation for customer support and studios, and solving “did you mean…?” searches across tens of millions of noisy, decorated gamertags. The goals were to make social listening more efficient and accurate and to reliably map approximate or obfuscated gamer names to real accounts for troubleshooting and moderation.

The team built an end-to-end pipeline using the Elastic Stack plus Python-based ingestion and NLP, custom Elasticsearch analyzers (the “gamercase” and camelcase tokenizers), fuzzy matching queries, and multiple UIs (Kibana, SQL, client libraries). The solution enabled annotated tweet streams, spike detection and alerts, real‑time dashboards and a gamertag-findernator that returns ranked “did you mean?” candidates with similarity scores—improving monitoring accuracy, speeding support workflows, and scaling to production use.

Activision

Josh Hemann

Director - Analytic Services