It’s now easier than ever to track and compare performance between articles and blogs. While Google Analytics shows you pageviews and other key metrics, frequent content comparisons are made difficult by the shifting time frames.
How can I compare a blog post that was published this month vs. a blog post that was posted last month? Sure, we can run two different reports, pull it into Excel and start crunching the numbers, but there’s gotta be a better way!
Enter Cohort Analysis. You may have heard this term thrown around before, usually in relation to users on your site and when they first became users. The idea here is to group users or sessions into common groups, like who first visited in January or first-month visitors. Avinash and Justin Cutroni both love cohorts, so obviously we should, too!
In this case, we’re going to use Google Tag Manager to put content into cohorts so we can analyze how they performed in similar time frames. We’ll pass these into Google Analytics as Custom Dimensions so they’re available for analysis. It’s actually much easier than it sounds! Read More…