We’re really getting into the meat of the content now with our fifth post in Napkyn’s Attribution Blog Series. If you haven’t subscribed already subscribe to receive updates on this series here or through the banner at the top of this post. In this installment I will help you assess if your organization is prepared […]

In my previous posts on Google Analytics 360’s BigQuery export, I outlined the basics of the Google Analytics 360-BigQuery integration, and some introductory lessons on how to query the data once you have it. Now, it’s time to get a little more sophisticated. In that first post, I mentioned that Google Analytics 360’s BigQuery export […]

In a previous post, I covered the basics of setting up the Google Analytics 360 BigQuery Export, and covered some details about the schema that export provides. In this post, I want to start digging in to the fun part: querying the Google Analytics data in Google BigQuery. Now, this post requires a very basic […]

In the previous entry in this series on Roll-Up Reporting for Google Analytics 360, I went over the more strategic considerations of how and why you might build a Roll-Up of existing GA web properties. Now that you have the foundations sorted out, you’re ready to build against your plan. The mechanics of building a […]

Yesterday, Google announced a new feature that it started rolling out to Google Analytics 360 customers in August: data streaming into BigQuery. This offers Analytics 360 customers a great opportunity to start working with more complete near-real-time data much more rapidly than they could before. That’s especially exciting for online retailers nearing their peak season. […]

Over the past few months, Napkyn has helped clients get up-and-running with Google’s new A/B testing tool Optimize 360. In our experience so far, it is a pretty great tool for targeting and optimizing experiments primarily because it features an intuitive interface and plays well with other tools within the marketing suite. Optimize 360 can be […]