Signals

Real-Time Intelligence for AI Applications

Transform your customer data into real-time, AI-ready signals that power personalized experiences, adaptive UIs, and agentic applications.

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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

Access attributes computed in real time from both in-session behavior and historical data to create truly personalized customer experiences.

Unify Your Data for AI

Seamlessly combine streaming behavioral data with warehouse data to power your AI applications with comprehensive customer context and understanding.

Unified Customer Intelligence Layer

Access comprehensive customer context through a 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 ultra low latency response times through a secure, scalable API designed for product applications and AI agents, with built-in authentication using JWTs and RSA auth for warehouse connections.

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.

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.

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.

“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

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Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.

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Signals

Real-Time Intelligence for AI Applications

Developer-First Infrastructure

Real-Time User Intelligence

Unify Your Data for AI

Unified Customer Intelligence Layer

Real-Time Profiles API

Dual-Engine Architecture

Proactive Customer Engagement

Intelligent Triggers

Action Orchestration

Simplified Developer Experience

Declarative Attributes

Git-Backed Deployment

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