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.
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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.
Google Tag Manager is a great way to scale the management of tracking pixels as your marketing needs and sophistication evolve over time. Google Tag Manager also excels when doing a Google Analytics install because it allows you to add custom event tracking consistently. We have built a custom GTM container that has all of our event tracking loaded in it so that we can get our clients consistent event tracking extremely efficiently.