MashMetrics weekly Analytics Jam features Mayo Racek as he extracts Google Analytics landing page data at scale with R to perform analysis on large sets of content. We then take out the noise, hone in on a single directory, rank content by day launched (or it first appearing), and more. To allow the content and marketing teams to perform their own analysis, we extract to DOMO and or Google Data Studio.
Creating Custom Channel Groups within Google Analytics is essential to quickly and accurately reporting your marketing efforts. While source / medium may be too granular to show your boss, channel groups allow you to organize various source / medium combinations, campaign types, landing pages and more. This article explains how to best take advantage of this, shows examples of how to use CASE dimensions in Google Data Studio to use these channel groups, and more.
While UnBounce and Google Analytics may share names like pageview, conversion rate and goals, they are different tags, tools and purposes. We describe what metrics may be different within the tools as well as how to normalize your analysis between the two.
Keep an eye on the MashMetrics blog for more topics like these. If you have any questions, you can leave a comment here or follow us on Linkedin and Twitter!
Understanding the performance of your data over a series of time is pretty much the most popular way we look at out Web Analytics, and most other digital data as well. Google Data Studio has many ways to slice and dice by date, check them out here.
As with all our DIY content, this started with a challenge on our team, we dug in, and are now sharing our findings with you!
At MashMetrics, it is our job to deliver data. Sometimes we get to be uber creative when we deliver a custom analysis or use visual best practices if building a Google Data Studio Marketing Dashboard. Neither of these takes the place of anomaly reporting and alerts which is getting more and more sophisticated of course…
Attribution: The difficult answer to where your marketing dollars are best spent. This has been a challenge for as long as marketers have been using more than one marketing method. Why does it continue to be so hot now? I believe it is because we expect there to be an easy software solution since this…