MashMetrics weekly Analytics Jam features Priscilla Neto demonstrating how we combine Google Analytics, Google Search Console, Google Ads, Keyword Hero, Onpage Hero and more with Google Data Studio. She also walks through our various CASE statements that we create to make the data more comprehendable.
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!
Defining what metrics to watch to see how you are performing against your marketing goals in 2020 can be a challenge. It seems like thousands of metrics scattered around the galaxy for most marketing teams and even agencies. This post will walk you through our iron-clad process to start turning your data into dollars!
Query string parameters (or name\value pairs) such as “fbclid” from Facebook or “_hsenc” if you are using HubSpot are likely killing your ability to do page level reporting in Google Analytics and perhaps even other tools you have connected to your Google Analytics data. Considering the problem lurks way down at the bottom of your…