Snowplow BDP

Additional features

Event-Level Data Collection

Gathers highly granular and detailed behavioral data, capturing every customer interaction as a distinct event.

AI-Ready Data

Transforms raw behavioral data into a clean, governed, and high-fidelity format optimized for use in AI-powered applications like analytics, personalization engines, and AI agents.

Customer Data Infrastructure (CDI)

Provides the robust foundation for collecting, validating, enriching, and securely delivering first-party customer data to your cloud data platform.

Real-Time Capabilities

Processes and delivers data in real-time, enabling immediate insights and the ability to trigger real-time actions and personalized experiences.

Full Data Ownership & Control

Ensures your data remains within your cloud environment, giving you complete transparency, governance, and control over its storage and usage, crucial for privacy compliance (e.g., GDPR).

Shift-Left Data Quality

Identifies, diagnoses, and resolves data quality issues as early as possible in the data pipeline, leading to more reliable data.

Shift-Left Data Governance

Embeds governance practices directly into the data lifecycle from initial design to delivery, ensuring compliance and data integrity from the start.

Customer-Aware AI Agents (Signals)

Equips AI copilots and other agentic applications with real-time intelligence about customer intent and past behavior, enabling more dynamic and relevant interactions.

Unified Identity Resolution

Connects data across different devices and touchpoints to create a single, comprehensive view of each customer.

First-Party Persistent Cookie Management

Reliably identifies users over time, even with browser changes, by managing first-party cookies.

Built-in Data Validation

Includes features for real-time validation, monitoring, and automated testing to ensure the accuracy and integrity of collected data.

Version-Controlled Schemas

Manages and tracks changes to data schemas and tracking definitions, providing a clear history and control.

Data Enrichment & Transformation

Enhances raw data with additional context and transforms it into the desired format for various analytical and operational uses.

Event Forwarding, Reverse ETL, & Signals

Mechanisms to send processed data to third-party tools and applications for real-time activation, personalization, and triggering actions.

Signals Profiles Store

Delivers both real-time and historical user attributes to applications and AI agents for comprehensive customer understanding.

Signals Interventions Engine

Triggers automated actions (e.g., in-app nudges, dynamic content) based on live behavioral inputs, enabling in-the-moment personalization.

Fast-Start Tooling

Provides developer tools, SDKs, QuickStart guides, and accelerators to help teams get started quickly.

AI Agent Event Collection & Analytics

Offers a data model pack specifically designed to understand the impact of generative AI on customer behavior, such as chatbot interactions.

Extensive Integrations

Connects seamlessly with over 35 event trackers and various data destinations like Databricks, Snowflake, BigQuery, and numerous enterprise applications.

Scalable Deployment Options

Allows flexible deployment within your own cloud environment (AWS, Azure, Google Cloud) to match your infrastructure needs.