Our web analytics blog provides a space for us to educate our clients and visitors about how they can use analytics to gain insight into user behavior. As a Google Analytics Certified Partner and Google Tag Manager Certified Partner, our team is highly versed in Google's products, but our knowledge isn't limited to just those! On this blog, our analytics experts share a diverse variety of tips, tricks and techniques for a wide range of analytics platforms, as well as explore big picture concepts for tracking and measuring online success, and answering some of the questions commonly asked by clients and team members. To stay up to date on everything our analytics blog has to offer, subscribe to our feed.
Google Analytics’ Benchmarking Reports allow brands to compare specific aspects of their website data with aggregated industry statistics from other companies who share their data. April Nelson, one of the senior members of our Client Services team, explains the benefits and how to enable this game changing report.
Data Studio makes creating visually appealing and interactive reports a cinch, it can also cause a headache if anyone edits the report or makes changes and accidentally breaks the report or data source. This has been a hurdle to get over when issues arise, until now.
Although “Automated Insights” is not a new tool within the Google Analytics platform, Google continues to invest in its functionality and has now expanded the tool to almost all languages as of March 6, 2019. If you are not familiar with Automated Insights, it is a feature within Google Analytics (part of Google’s overall “Analytics Intelligence”) meant to surface insights and explanations about trends and changes in your data and even some recommendations about what you could consider doing differently. Additionally, these insights are meant to be presented in a conversational manner, rather than just highlighting data points. Ultimately, these insights and recommendations are in line with the larger push by organizations like Google to use Machine Learning and Artificial Intelligence to help augment digital marketers and analytics specialists, making them more efficient at their job.