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Thom Craver

Google Analytics Finally Gives Developers Content Experiments API

  |  June 11, 2013   |  Comments

Google Analytics revamped Content Experiments last summer. Now, nearly a year later, they've announced a new round of improvements, including API calls.

google-analytics-content-experiments-overview

Last week, Google announced the launch of a specific API for Content Experiments. The same tool that allows users to use A/B content tests on their site is now available through an API. The new content experiments API allows developers to pick and choose from all the features available within Google Analytics Content Experiments and create a custom solution that fits their needs.

Several advantages include:

  • Testing Without Redirects: When performing A/B tests with Content Experiments, the snippet of code you place on your "A" page redirects users to the "B" page. This can, in select cases, take away from the end-user experience. Using the Content Experiments API, you are able to test content without using redirects.
  • Server-Side Testing: Content Experiments in Google Analytics currently only allows for client-side testing. That is to say, they show changes the visitors would see in their browsers. With the new Content Experiments API, developers can now run tests server-side to test experimentations with different page-dependent elements like a database query. Google offers technical documentation that involves sample Python code through Google's App Engine.
  • Additional Variation Selection Logic: Applying the multi-armed bandit approach to your Content Experiment allows you to serve variations of your A/B testing. Using the new Content Experiments API, developers can bypass Google's programmatic optimization while still reporting the results of your tests within Google Analytics.

The full details of the new Content Experiments features can be found on Google's Developers site.

Does your web team use APIs to interact with Google Analytics? If your team will be using this, sound off in the comments below.

This article was originally published on Search Engine Watch.

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ABOUT THE AUTHOR

Thom Craver has been coding HTML since 1993 and has been involved in search marketing since 1999. He led one of the first web marketing firms in Rochester, NY for eight years until successfully merging with an interactive agency in 2004.

His employment experience also includes a senior search position at nationally renown TopRank Online Marketing and US News Top-Ranked Rochester Institute of Technology. Thom led all Web and social presences for the Saunders College of Business and led analytics strategy efforts for RIT's mobile initiative. He still serves as an adjunct professor for Saunders College and tutor for National Technical Institute for the Deaf.

Part of the ClickZ Academy faculty, Thom is a regular contributor to Search Engine Watch and has authored training manuals published by SVI Training Products and Technical Learning Resources. His book on web analytics drops in 2013.

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