Snowplow Signals

Real-Time Intelligence for AI Applications

Build and ship real-time, AI-powered user experiences like personalized recommendations, adaptive UIs, and customer-facing AI agents faster.

Try Signals Sandbox

Watch The Video

Developer-First Infrastructure

Composable, transparent building blocks for real-time personalization and AI agents without the complexity of managing custom data pipelines or fragmented systems.

Real-Time User Intelligence for AI

Give your algorithms access to user attributes computed in real time from in-session behavioral data and historical warehouse data to power your apps with deep user context.

AI Agent Foundation

Build on an extensible foundation that accelerates your rules-based and ML personalization roadmap while preparing you for the next wave of agentic AI applications.

Unified Customer Intelligence Layer

Access comprehensive customer context in milliseconds via an ultra low-latency API that combines real-time behavior with historical data. The Profiles Store integrates streaming and batch engines to compute user attributes from all your customer data sources, making them instantly available to your product applications and AI agents.

Real-Time Profiles API

Query user attributes with 45ms p50 response times through a secure, scalable API designed for product applications and AI agents, for true in-session personalization.

Dual-Engine Architecture

Combine real-time streaming computation for in-session behaviors with batch processing of warehouse data, ensuring your applications have access to both immediate context and deep historical insights.

Diagram showing data flow from an Application using Signals SDK sending events to Snowplow Platform in a Cloud Account with a Pipeline processing events to a Data warehouse, and the Signals component pushing interventions and getting user attributes back to the Signals SDK in the Application.

Proactive Customer Engagement

Identify key customer journey moments and automatically trigger personalized interactions in real time, via the Interventions Engine. Define intervention rules using both real-time behaviors and historical context, enabling your applications to deliver timely, relevant experiences that drive conversion, reduce churn, and increase customer lifetime value.

Intelligent Triggers

Create sophisticated rules-based or ML-powered triggers that recognize crucial customer journey moments, combining both behavioral and contextual signals for precise intervention timing.

Action Orchestration

Seamlessly connect trigger moments to your application's response systems, enabling real-time personalized nudges, dynamic offers, or proactive AI assistance at exactly the right moment.

Complete, No-Code UI

Self-service deployment flows and attribute management directly in Snowplow Console enable product managers to declaratively define customer attributes while engineers focus on building differentiated experiences rather than infrastructure.

Attribute Management & Deployment

Manage your Signals deployment through Snowplow Console without writing code. Configure engines, define attributes, and deploy changes through self-service workflows.

Live Debugging

Validate your personalization logic in production with real-time troubleshooting via Snowplow Inspector. Debug attribute computations and intervention triggers as they happen.

User interface for editing ecom_attributes v1 showing primary owner email, configuration with attribute key and TTL, attribute list with names, event filters, aggregations, and properties, and a button to run preview.

Simplified Developer Experience

Accelerate implementation with powerful, intuitive SDKs designed specifically for product and engineering teams. The Python and TypeScript SDKs provide everything you need to define, compute, and retrieve user attributes and interventions, dramatically reducing the time and complexity of building personalized experiences.

Declarative Attributes

Focus on defining what data you need, not how to process it. The declarative schema lets you specify attributes in code, while the system handles computation, scheduling, and infrastructure management.

Git-Backed Deployment

Manage your attributes and models in a Git repository and deploy changes via CI/CD, aligning with engineering best practices for version control, testing, and collaboration.

See It In Action

This demo walks through how Snowplow Signals calculates and surfaces real-time user attributes, conversion predictions, and interventions based on live website interactions.

Try Signals Sandbox

“Snowplow Signals provides our product and engineering teams with the real-time customer intelligence infrastructure they need to build adaptive, AI-powered experiences into our FindMyPast product...It’s a game-changer for hyper-personalizing each user’s deeply unique and personal experience.”

Anup Purewal

Chief Data Officer at DC Thomson

Snowplow Signals

Real-Time Intelligence for AI Applications

Developer-First Infrastructure

Real-Time User Intelligence for AI

AI Agent Foundation

Unified Customer Intelligence Layer

Real-Time Profiles API

Dual-Engine Architecture

Proactive Customer Engagement

Intelligent Triggers

Action Orchestration

Complete, No-Code UI

Attribute Management & Deployment

Live Debugging

Simplified Developer Experience

Declarative Attributes

Git-Backed Deployment

See It In Action

Resources for your business

Snowplow Signals is Now Generally Available: Real-Time Customer Intelligence for AI-Powered Applications

Building the Real-Time Foundation for AI-Powered Customer Experiences

Agentic AI Applications: How They Will Turn the Web Upside Down

Get Started

Products

Comparisons

Customers

Solutions

Explore

Integrations

Technology

Company

Resources

Get the latest Snowplow news and updates

Follow Us