Snowplow on Google Cloud Platform (GCP)

The Customer Context Layer for Google Cloud. Collect, validate, enrich, and deliver behavioral data in real time, natively in your GCP environment. Snowplow is the customer context layer for your customers’ advanced analytics, ML, and AI agent decisioning - built to run end-to-end in your Google Cloud account

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Real-Time Customer Context, Natively on Google Cloud

Snowplow deploys directly inside your GCP account and integrates with the Google Cloud services you already use, from storage and streaming to Gemini Enterprise Agent Platform. Your team gets a behavioral data foundation that powers everything from advanced analytics to context-aware AI agents, without data leaving your environment.

attribution

Real-Time Context for AI Agents

Stream live behavioral customer context into Gemini Enterprise Agent Platform workflows with Snowplow Signals and Google’s Agent Development Kit (ADK). Your agents know what customers are doing right now (pages browsed, time on site, purchase intent) and respond accordingly, not generically.

collaboration

Your Cloud, Your Data, Your Control

Snowplow runs directly inside your GCP project. Your pipeline, your infrastructure, your data — fully owned and controlled. No data leaves your environment. Snowplow’s BYOC model means zero vendor lock-in and total transparency.

Predict

Data Quality AI and Analytics Can Trust

Every event is validated against a schema before it reaches your destination. Bad data is sorted, not dropped, and can be reprocessed at any time. First-party, server-set cookies circumvent ITP to create more accurate data sets and complete user journeys.

managed

Deliver Data in Real Time

Load validated, enriched behavioral data to your downstream destination, ie: BigQuery, Cloud Storage, Pub/Sub, data warehouse or lake, in as little as 5 seconds. Power real-time dashboards, recommendations, and personalization with data that’s always current.

How does it work?

Snowplow Signals
Google ADK
Copilot Kit

Build Context-Aware AI Agents on Google Cloud

AI agents are only as good as the context they have. Snowplow Signals computes live user attributes from behavioral event streams and serves them via a low-latency API. Combined with Google’s Agent Development Kit (ADK) and Gemini Enterprise Agent Platform, your agents get real-time customer context — no custom data pipelines required.

— Capture

Real-time behavioral data from every session

Snowplow's Browser tracker captures behavior across web and mobile in real time. Signals continuously computes session attributes — pages viewed, products browsed, cart value, intent — and serves them via API.

— Deliver

Fresh context on every agent turn

Your ADK agent fetches context on every turn via a before_model_callback, so it always knows what the customer is doing right now. Embed it all in your product with CopilotKit.

💬 Customer asks: "Can you help me understand your pricing?"
Without Signals

"Sure! We offer three plans: Starter, Pro, and Enterprise..."

With Signals

"I can see you've been exploring our Enterprise plan — happy to help. Are you comparing SSO, infrastructure options, or SLA tiers?"

What can you build?

Advanced Analytics

Move beyond packaged analytics tools with Snowplow's customer data infrastructure that delivers high-fidelity behavioral data to your GCP environment. Power Customer 360, product analytics, and multi-touch attribution with governed, schema-validated event data — no sampling, no aggregation, no black boxes.
BigQuery
Looker
Customer 360
Attribution

Composability at Scale

Build a flexible data foundation using Google Cloud’s infrastructure and Snowplow’s real-time event collection. Create unified customer profiles and behavioral segmentation without vendor lock-in, maintaining full control over your data stack. Land data wherever your teams need it, ie: BigQuery, Databricks, Snowflake, Cloud Storage, Pub/Sub, or a lakehouse on GCP, and scale your business.
Databricks
Snowflake
Pub/Sub
Cloud Storage

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.