User Behavior Tracking with Google Analytics, Garb, and Vanity
Location: Ballroom IV Level: Novice
The most successful applications start off with a good idea. From this idea, features and services are created to fulfill the needs of users. Determining how users act when given features has proven to be the best method for guiding feature design. Unfortunately, making this determination is often an expensive challenge, especially if done improperly. This talk will provide you with new tools and techniques to aid gathering information to make these decisions.
With the bulk of the talk I will cover all you will need to know to get information back out of Google Analytics (GA), using Garb to access the API provided by Google. In addition, I will discuss, in-depth techniques and examples for gathering the best data using GA. I will touch briefly on the benefits of A/B testing in order to introduce Vanity. Lastly, I will present techniques for combining data gathered with GA and metrics from Vanity to create a vivid picture of user behavior and how this data might be presented to encourage users.
All in all, Google Analytics provides the gateway to a more complete analysis of user behavior, and an invaluable tool for planning the features and growth of your application. Let me show you how to leverage them.
Tony Pitale is a developer at Viget Labs, where he builds Ruby on Rails applications for startups and conventional businesses. He’s been developing with Ruby for nearly 4 years and has built web applications with Rails, Sinatra, and DataMapper. He’s the creator of Garb, a Ruby library for accessing Google Analytics data through its API. When not developing he spends time with his dog (Kona), friends in the DC area, and family in NJ.
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