Snowplow Event Tracking enables granular, customizable behavioral data collection across platforms, supporting real-time analytics and AI applications.
Vendor
Snowplow Analytics
Company Website


Snowplow Event Tracking is a software solution that provides comprehensive tools and SDKs for collecting, managing, and validating behavioral event data from web, mobile, and server-side sources. It supports both out-of-the-box and custom event types, allowing organizations to capture detailed, structured, and unstructured data tailored to their business needs. The platform emphasizes data quality, offering real-time alerting and debugging to ensure accuracy and reliability for downstream analytics and AI-powered applications.
Key Features
Comprehensive SDK Library Enables event data collection across diverse platforms and environments.
- Supports web, mobile, and server-side sources
- Specialized developer tools for rapid integration
Custom and Out-of-the-Box Event Tracking Tracks a wide range of event types, both predefined and user-defined.
- Out-of-the-box support for page views, transactions, media events, and more
- Customizable self-describing events with user-defined schemas
Real-Time Data Quality Monitoring Ensures high-quality data collection with proactive issue detection.
- In-production real-time alerting
- Bad data debugging tools
Contextual Data Enrichment Enhances events with additional contextual information.
- Context entities for reusable data enrichment
- Support for device, browser, geolocation, and session data
Flexible Event Modeling Allows businesses to tailor data collection to their specific requirements.
- Structured and self-describing event models
- Schema management for custom events
Benefits
Accurate and Reliable Data Collection Delivers high-integrity data for analytics and AI.
- Reduces engineering complexity
- Enables smarter, data-driven customer experiences
Customizable to Business Needs Adapts to unique organizational requirements.
- Supports proprietary event types
- Flexible schema definitions
Improved Data Governance and Compliance Facilitates better control over data assets.
- Real-time monitoring and alerting
- Debugging tools to resolve data issues quickly