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Determining the Correlation Between User Behaviour Data And SERP Rankings

Rankings is the goal for every SEO campaign. Increased rankings that is. We’ve analysed the manner search engine bots function and their reading abilities and algorithms are a few things we can speculate. With that, we have built our rankings to reach the top of search engines including Google and Bing. But bots aren’t everything SEO uses to determine rankers.

It also uses user experiences. It interprets it in a different algorithm that’s virtually unknown until now.

  1. Click-Through Rate

Analysts measure user experience and behaviour on a page depending on the items they click in the page. Using pixels, SEO experts measure click-through rates and use them to paint a picture about user experience and search engine reactions. CTR is difficult to measure because the position of an item can determine whether users click them or not. However, if presented properly, they can show a bird’s-eye-view on things.

  1. URL Access

User engagement alone is not a direct ranking signal. Time on page, the ability to access the website flawlessly, clicking on forms, filling out forms, looking at documents and highlighting characters in documents show the true behaviour of users. If marketers can collect this information then so could search engines. And analysing this information definitely helps in improving rankings.

  1. Traditional And New Ranking Signals

The traditional ranking signals are determined by page quality through determining the usual SEO suspects (Page rank, anchor text, title, content quality) and combining their results to reflect an accurate image through new ranking signals (trajectory, frequency, duration, day).

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