Event Tracking

Effortlessly Track Behavioral Data Across All Platforms and Channels

Define, track, validate, and manage granular customer behavioral data with control and accuracy.

Illustration of a data warehouse table showing event logs with columns for timestamp, event name, user ID, and marketing medium, connected to icons for web, mobile, cloud, video, and chatbot sources.

Manage Your Behavioral Data

Access a comprehensive SDK library for collecting behavioral data across any platform or environment, supported by tools for developers.

Accelerate Data Time-to-Value

Quickly and easily implement accurate event tracking across sources with specialized developer tools.

Improve Customer Data Quality

Identify and resolve data quality issues before and in production, supported by in-production real-time alerting and bad data debugging.

Accelerate Event Tracking Instrumentation

Easily implement custom Snowplow tracking SDKs based on your data design with Snowtype. Reduce manual configuration and ensure data consistency with type-safe, inline documentation, reducing time spent writing custom code.

Enable developers to focus on business logic rather than manual tracking code

Enhance client-side validation across nine platforms, including web, mobile, and server environments

Eliminate common data quality issues by generating strict tracking code upfront

Screen showing instructions to implement tracking with Snowtype, including a command to generate the latest code and a copy button.

Diagram showing Claude Desktop (MCP Host) connecting via MCP Protocol to Snowplow CLI, Filesystem, Git, and GitHub MCP Servers on your computer; Snowplow CLI, Filesystem, and Git access a Local Git Repository via local access; GitHub accesses a GitHub Remote Service via web APIs.

Design Tracking with AI Assistance

Accelerate tracking design from months to minutes with the Snowplow MCP Server for Tracking Design. Collaborate with any AI assistants (Claude, GPT-4, Llama) to design, validate, and iterate on tracking plans through natural conversation, automatically generating production-ready schemas.

Create comprehensive data structures through natural language conversation with AI

Receive intelligent recommendations for tracking patterns tailored to your specific use case

Integrate with Git-backed workflows and deploy through standard review processes

Simplify Local Testing

Easily inspect tracked event data in a development environment called Snowplow Micro. Developers can familiarize themselves with the data collected using Snowplow and set up automated tests, which test and debug builds that would break Snowplow event tracking.

Enable easier development environment testing

Receive, validate, and enrich events before production

Automate tests to help maintain data accuracy at every step

Snowplow Micro web app interface showing a table of event tracking data with columns for status, timestamp, event name, and page URL, and a timeline with colored bars indicating event activity.

Screenshot of an analytics dashboard showing event details including a Pageview event with timestamps, application ID, event ID, platform, and tracker information, along with JSON schema validation status.

Enable Real-Time Validation of Web Tracking Setup

Ensure an event has passed validation according to rules codified in the corresponding schema using the Snowplow browser extension, Snowplow Inspector. Easily QA event tracking in real time to identify why an event is not appearing in your data warehouse or if the event has passed validation.

Validate your Snowplow event tracking code

Test, diagnose, and debug the data in real time

Enable detailed visibility by parsing HTTP requests into readable formats

Support First-Party Persistent Cookie Management

Track customer behavior for up to two years with specialized cookie extension services that maintain tracking capabilities even in environments with browser limitations like Intelligent Tracking Prevention (ITP).

Generate and manage a unique browser identifier from the same IP as your main web application

Mitigate the impact of third-party tracking restrictions across Safari and iOS browsers

Enable more accurate marketing attribution, customer journeys, product analytics, and personalized recommendations

Sequence diagram showing interactions between ID Service Endpoint, Snowplow Tracking Code, and Snowplow Collector with steps for requesting an ID, setting cookies, and event tracking.

Frequently Asked Questions

What documentation and developer resources does Snowplow provide?

Snowplow provides comprehensive documentation for implementing, customizing, and maintaining behavioral data pipelines across all major platforms.

Developer Resources:

Resource Type

Description

Official Documentation

docs.snowplow.io covers setup, trackers, enrichments, loaders, and data modeling

35+ Trackers/SDKs

JavaScript, iOS, Android, React Native, Flutter, server-side (Node, Python, Java, Go, etc.)

Snowtype

Automated code generation for type-safe tracking implementations

Snowplow Micro

Local testing environment for validating tracking before deployment

GitHub Repositories

Open-source components, example implementations, and community contributions

dbt Packages

snowplow-web, snowplow-mobile, snowplow-ecommerce for out-of-the-box data models

Iglu Central

Public schema registry with standard event and entity definitions

Signals Sandbox

Lightweight sandbox environment for building real-time applications with Snowplow Signals

Community Forum

discourse.snowplow.io for questions, best practices, and community support

‍

Getting Started:

Quick start guides for cloud-specific deployments (AWS, GCP, Azure)
Tracking design recipes for common use cases
API references for all pipeline components
Video tutorials and webinars

With Snowplow, developers access production-ready resources built from 12+ years of behavioral data expertise—enabling faster implementation with fewer errors and better long-term maintainability.

Event Tracking

Effortlessly Track Behavioral Data Across All Platforms and Channels

Manage Your Behavioral Data

Accelerate Data Time-to-Value

Improve Customer Data Quality

Accelerate Event Tracking Instrumentation

Design Tracking with AI Assistance

Simplify Local Testing

Enable Real-Time Validation of Web Tracking Setup

Support First-Party Persistent Cookie Management

Resources For Your Data Journey

The Power of Snowplow SDK Trackers for Data Collection

Data quality starts with data collection

Server-Side vs Client-Side Tracking: A Simple Guide

Frequently Asked Questions

What documentation and developer resources does Snowplow provide?

Get Started

Products

Comparisons

Customers

Solutions

Explore

Integrations

Technology

Company

Resources

Get the latest Snowplow news and updates

Follow Us