Games

Build Player Experiences That Adapt in Real Time

The real-time customer context layer for games. Understand every player, across every platform, inside the infrastructure you already own.

Snowplow interface showing details for the event 'account_confirmed' with event properties like jobFunction, companyName, companyCountry, primaryDomain, and destinationName, and an event map displaying related entities including spiders_and_robots, web_page, ua_parser_context, and yauaa_context with additional properties.

Trusted by the studios behind the world's biggest games

Unify Player, Game, and Operational Data

Capture behavioral signals from players, in-game systems, and marketing touchpoints in a single governed event stream. One schema, one pipeline, every team

Accelerate AI and Real-Time Use Cases

Feed validated, enriched event data to Snowflake, Databricks, BigQuery, or any stream. Power churn prediction, dynamic balancing, and personalized player experiences without building the infrastructure yourself.

Maximize Engagement and Monetization

Connect real-time behavioral context to retention campaigns, in-game recommendations, and monetization strategies. First-party, privacy-compliant, running inside your cloud.

Behavioral Data Collection Across the Player Ecosystem

Collect and unify behavioral signals across the full player ecosystem:

Player Behavior: In-game actions, social interactions, purchases, and progression.

Game Systems: Real-time telemetry, feature performance, and system metrics.

Player-Game Interactions: Movement patterns, feedback loops, and engagement with in-game economies.

Snowplow dashboard showing biz1 collection volumes as a stacked bar chart with event data grouped by app ID over 30 days and table listing app ID, trackers, platform, event count, and last seen date.

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Works with the Infrastructure You've Already Built

Deliver validated, enriched event data wherever your teams work. Whether you run on Snowflake, Databricks, BigQuery, or AWS, data lands in your warehouse or lakehouse in real time, consistent, schema-compliant, and ready for analytics and AI.

FanDuel deploys Snowplow directly within its AWS environment using Amazon Kinesis and EC2, integrating natively with its Kafka backbone and Databricks lakehouse.

Any destination, no lock in: Route enriched events to Snowflake, Databricks, BigQuery, Amazon S3, Delta Lake, Kafka, or any HTTP endpoint.

Real-time and batch, unified: A streaming engine handles in-session behavior; batch processing pulls from your full warehouse history. Both land in the same store

Production-ready data models: Six out-of-the-box dbt packages for web, mobile, ecommerce, media, attribution, and normalization — so your teams skip months of modeling work and go straight to analysis

Know Who Your Players Are Across Every Platform

Resolve player identities sub-second on the event stream using graph-based stitching and first-party deterministic matching. No probabilistic scoring, no third-party cookies, no fragile SQL workarounds.

Supercell uses this to join client-side web behavior with server-side game data on a shared player ID, unlocking cross-platform journey analytics that were previously impossible.

Cross-platform identity resolution: Stitch identities across web, iOS, and Android using any combination of identifiers

Real-time, not batch: User identities are resolved the moment an event is collected, so every downstream system works from a unified, current profile

Handles every scenario: Cross-domain, shared devices, and repeated logins are all resolved automatically

Diagram displaying five labeled boxes representing event and entity types: EVENT add_to_basket with location, mechanism, quantity; ENTITY user with userid, firstName, premiumUser, email; ENTITY product with sku, style_code, name, category_code; ENTITY web_page with id; ENTITY PerformanceTiming with navigationStart, redirectStart, redirectEnd, fetchStart.

Give Your AI Agents the Player Context They Need to Act

In-game and support agents are only as good as the context they operate on. Signals Agents transforms your real-time event stream into structured behavioral context so agents respond to what a player is doing right now, not a static profile.

Session Summary Agent: Generate a natural-language summary of what a player is doing, what they want, and how they're navigating, ready to inject directly into an agent's context window

Classification Agent: Auto-categorize players by intent, sentiment, and churn risk, defined in natural language, learned from behavioral patterns

Decisioning Agent: Fire on meaningful behavioral shifts like drop-off risk, purchase intent, or live ops triggers, turning reactive agents into proactive ones

Full Data Ownership. No Black Boxes

Run entirely inside your own cloud infrastructure. Define every schema, audit every event, and own the context that powers your player experiences.

Privacy-first by design: Align with GDPR, CCPA, and global data regulations without giving your data to a third party

Transparent architecture: Every enrichment, validation, and transformation is visible and configurable

Composable, not rigid: Full control over schema, payload, and destination routing, built for the stacks enterprise game studios actually run

Get Started

See how Snowplow gives companies the real-time user data foundation and context layer to make better business decisions while powering the AI initiatives that will define the next era of media.

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