Engage with customers that show intent to purchase, using Snowplow composable CDP with Braze.

Add client-side, server-side, and agent self-tracking to an AI-powered chatbot using Snowplow.

Track events using our Android SDK to better understand your users' behavior on mobile devices.

Set up data modeling for marketing attribution analysis.

Use the Snowplow Console to create and manage tracking plans for a web application.

Use Snowplow CLI and GitHub Actions to manage authoring and publishing for your data structures.

Build a real-time shopper profile for an ecommerce site, leveraging Kafka, Flink and Redis.

Build a real-time viewer profile for a video streaming site, leveraging Kafka and DynamoDB.

Instrument a Python backend with the Snowplow tracker, then compute and act on real-time user attributes and interventions using the Signals Python SDK.

Build a real-time editorial analytics dashboard for a media publisher site, leveraging Snowplow and ClickHouse.

Build a customer-facing AI agent using Strands Agents and AWS Bedrock AgentCore Memory, personalized with real-time behavioral data from Snowplow Signals.

Build a Next.js AI agent that uses Snowplow Signals to deliver contextually aware responses based on live user behavior.

Add Snowplow Signals to a Google ADK agent so it gets real-time user context for every response, and embed it in a React app with CopilotKit.

Get hands-on with Signals interventions and a demo e-shop application.

Try out Signals for live prospect scoring with machine learning.

Set up a demo travel site, and integrate with Snowplow Signals to personalize content and chatbot responses based on user behavior.

Set up Signals to calculate attributes in real time, using Snowplow Console or the Signals Python SDK.

Use the Snowplow CLI MCP tool with Claude or other MCP clients for streamlined data structure management.

Transform your raw web and mobile event data into derived tables.