This document provides an overview of all the developer resources related to Experiments.
The Google Analytics experiments framework enables you to test almost any change or variation to a property to see how it performs in optimizing for a specific goal.
An overview of the Content Experiments feature:
Related Documents
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Platform
- Reference: Experiments For users with advanced requirements and integrations, learn about the details and implementation considerations for running experiments and serving variations.
- Experiment Lifecycle (Help Center) A comprehensive overview about the life of a typical experiment and how to get started with experiments using the Google Analytics web interface.
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Solutions
- Client-side Experiment Without Redirects Learn how to run a Content Experiment without redirects and handle all variation serving in the browser (client-side).
- Running a Server-side Experiment Learn how to run server-side experiments using Google Analytics.
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Collection
- Web Tracking: analytics.js Sending experiment data with the analytics.js library.
- Web Tracking: ga.js Sending experiment data with the ga.js library.
- Measurement Protocol Sending experiment data from almost any environment using the measurement protocol.
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Processing
- Multi-armed Bandit Experiments Learn about the statistical engine that is used by Google Analytics to manage experiments.
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Configuration
- Experiments Developer Guide Learn how to use the Management API to interact with an Experiments resource.
- Experiments API Reference Learn about available methods and the resource representation for Experiments.
- Preparing an Experiment (Help Center) Learn about defining objectives, configuring experiments, parameter propagation, cross-domain tracking, etc.
- SEO Ranking (Help Center) Learn about serving variations and the impact on search engine ranking.
- Website Testing & Google Search (Webmaster Central Blog) Answers to common questions about how testing affects what Googlebot sees on your site.
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Reporting
- Experiments in Reports See the available experiments dimensions and metrics.
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