All but two of our top pages have above average time on page.

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Machine learning algorithms.In today’s experiment, we’re going to measure time on page. To be clear: time on page isn’t the same as dwell time or a long click (or, how long people stay on your website before they hit the back button to return to the search results from which they found you).We can’t measure long clicks or dwell time in Google Analytics. Only Google has access to this data.Time on page really doesn’t matter to us. We’re only looking at time on page because it is very likely proportional to those metrics.Time on Site & Organic Traffic (Before RankBrain)To get started, go into your analytics account. Pick a time frame before the new algorithms were in play (i.e., 2015).


Segment your content report to view only your organic traffic, and then sort by pageviews. Then you Benin WhatsApp Number want to run a Comparison Analysis that compares your pageviews to average time on page.You’ll see something like this: on site behavior targetingClick image to enlargeThese 32 pages drove our most organic traffic in 2015. Time on site is above average for about two-thirds of these pages, but it’s below average for the remaining third.See all those red arrows? Those are donkeys – pages that were ranking well in organic search, but in all honestly probably had no business ranking well, at least for the search queries that were driving the most traffic.





They were out of their league. Time on page was half or a third of the site average.Time on Site & Organic Traffic (After RankBrain)Now let’s do the same analysis. But we’re going to use a more recent time period when we know Google’s machine learning algorithms were in use (e.g., the last three or four months).Do the same comparison analysis. You’ll see something like this: time on site google analyticsClick image to enlargeLook at what happens now when we analyze the organic traffic.