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.
Was this article helpful to you? Keep an eye on the MashMetrics blog for more topics like these or follow us on Linkedin and Twitter!
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.
This article will show you how to customize Google Analytics to more adequately measure your online presence or business. This article demonstrates how you can use Goals to determine how effective your marketing, landing pages and others are performing. Furthermore you can add filters to keep your data clean while also assuring it meets various privacy laws like GDPR and CCPA.
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!