Everyone uses Google Analytics, but hardly anyone knows how to use it to improve SEO. This isn’t surprising. Google Analytics is a powerful tool, but extracting valuable and useful insights can often feel like pulling teeth—especially for beginners. But it doesn’t have to feel this way. You just need to know what data to look at, how to interpret it, and then take action. In this guide, we’ll go through seven actionable ways to use Google Analytics to improve SEO and cover some common mistakes to avoid. But first, let’s go over the basics.
Getting started with
Google Analytics When you first log in, you’ll see the “Home” dashboard. This is vanity metric central, and there aren’t a lot of useful insights here. You’re better off looking at executive data individual reports, which you can find on the left of the screen grouped by topic. Reports show two things: dimensions and metrics. Dimensions are attributes of data, and metrics are quantitative data points associated with that dimension. Confused? Don’t be. It’s quite simple. Take a look at the data in the landing pages report: Here, the dimension is the landing page. The other columns show metrics associated with each landing page, like the number of sessions over your selected period.
How to Use granular
You can add a secondary dimension to any of these reports. Let’s add “Country” as our secondary dimension here. But, you might be wondering, what if you only EO Leads care about seeing a subset of data, like organic traffic from the UK? That brings us onto segments and filters. Segments are a way to see data for only a subset of users or sessions across reports. For example, you can segment by organic traffic, like so.
We updated and republished the post to bring it back to its former glory. The question is, how do you find pages ripe for republishing? While you can use Ahrefs’ Site Explorer or the Performance report in Google Search Console, it’s best to use Google Analytics. Why? Because it gives you conversion data, which you can use to tie SEO efforts to business metrics. Select a time frame for comparison.
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