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autotrack project preview
MarketingAlternative to Heap AnalyticsAlternative to Segment Analytics.jsAlternative to Mixpanel SDK

autotrack

Automatic and enhanced Google Analytics tracking for common web interactions and outlinks.

View on GitHub
LicenseApache-2.0
GitHub stars4.2k
Last commit6 days ago
Tags5 topics
Scroll Depth AnalyticsAutotrack AnalyticsOutbound Link TrackerMarketingAutomated Event Tracking
Overview

Why consider autotrack?

autotrack is an open-source analytics enhancement suite developed by the Google Analytics team (Philip Walton). autotrack automates outbound link tracking, URL change handling in single page apps, media query breakpoint logging, and scroll depth engagement percentages.

Guided learning

Learn autotrack by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of autotrack

autotrack captures page scroll depths and external link clicks without manual event triggers.

Quickstart

bash
1npm install autotrack
javascript
1import 'autotrack/lib/plugins/outbound-link-tracker';
2import 'autotrack/lib/plugins/pageview-url-tracker';

autotrack is licensed under the Apache License Version 2.0.

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autotrack FAQs

autotrack is listed as a Marketing tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

autotrack is listed under the Apache-2.0 license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

autotrack is listed as an alternative to Heap Analytics. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.