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Analyzing data to gain insights into your business and marketing efficacy is just step one. Taking action on that data is the all too important next step. The Google Analytics team continues its focus on making analytics actionable with the latest additions to the Content Experiments Platform. Together, these new features make Google Analytics A/B testing engine more powerful than ever! Google Analytics users who have linked their accounts to AdSense can now select AdSense Revenue as an experiment objective. Once set, Google Analytics Multi Armed Bandit optimization algorithms will shift traffic among the experimental variations to achieve maximum revenue in the shortest amount of time. This feature has been a top request among AdSense publishers and Google Analytics is excited to provide a tool to further empower our publisher ecosystem.   For our most sophisticated Content Experiments users, we’ve added an advanced option to allow even traffic distribution across all experime...

We want to share an exciting update to the earlier post about the new Analytics access controls.  As we mentioned in that earlier post, we have built a more powerful access-control system to help you better manage who on your team can access what entities in your Analytics accounts. These access controls are now enabled on all Analytics accounts. The feedback from our early users highlighted a clear need to let report viewers collaborate with teammates, and in response we created the new Collaborate permission that lets users not only create but also edit shared assets like dashboards and annotations. Open the Admin page for your Analytics account, and click User Management. You can see the new Collaborate permission listed along with the others. Learn more about our new access-control system, and gain more precise control over your Analytics accounts. Posted By Tim Thelin and Matt Matyas, Google Analytics Team

Our constantly connected world presents a great opportunity for marketers to be more effective and relevant to customers by optimizing for context -- device, location and time. Earlier this year, we launched enhanced campaigns to help advertisers take advantage of these new opportunities and manage their ad campaigns more effectively. Bid adjustments make it easy to raise or lower your bids based on user context. To help you optimize your bid adjustments, we're introducing bid adjustment reporting in Google Analytics, allowing you to analyze performance for each of your bid adjustments across devices, locations, and time of day. You can access the new report by going to Traffic Sources > Advertising >AdWords and clicking the Bid Adjustments link. With the new Bid Adjustments report, you can take advantage of the full range of visitor metrics available in Google Analytics to optimize your bid adjustments. This provides a window into your users’ behavior, allowing you to ...

One of the most popular and powerful features in Google Analytics is Advanced Segmentation . It lets you isolate and analyze subsets of your traffic. You can select from predefined segments such as "Paid Traffic" and "Visits with Conversions" or create your own segments with a flexible, easy-to-use segment builder. Then, you can apply one or more of these segments to current or historical data, and even compare segment performance side by side in reports.   We’ve recently re-imagined segmentation to make it even easier for new Analytics users, yet also more powerful for seasoned analysts and marketers. Some of the key updated features include:  User segmentation Previously, advanced segments were based on visits. With the new segment, a new option is provided to create user segment. In a user segment, all visits of the users who fit the segment criterias will be selected (such as specific demographics or behaviors). It will be a useful technique when you need to per...