Post by account_disabled on Mar 4, 2024 19:39:53 GMT -7
The its time to boldly go where no SEO has gone before. Thats what Ive attempted to do in this post. Lets look at some new data. The search for RankBrain New Data What youre about to look at is organic search clickthrough rate vs. the average organic search position for three separate day periods ending April July and September of this year. This data obtained from the Google Search Console tracked the same keywords in the Internet marketing niche.
I see some of the most compelling evidence of RankBrain andor Greece Mobile Number List other machine learning search algorithms at work. The shape of CTR vs. ranking curve is changing every month for the days ending April the average CTR for top position was about percent. July the average CTR rose to about percent. By September the average CTR increased to about percent. The top most prominent positions are getting even more clicks. Obviously they were already getting a lot of clicks. But now theyre getting more clicks than they have in recent history. This is the winnertakeall nature of Googles organic SERPs today.
Its coming at the expense of Positions which are being clicked on much less over time. Results that are more likely to attract engagement are pushed further up the SERP while results with lower engagement get pushed further down. Thats what we believe RankBrain is doing. us something very interesting. A couple thoughts This is exactly the fingerprint you would expect to see for a machine learningbased algorithm doing query interpretation that impacts rank based on user engagement metrics such as CTR. Essentially machine learning systems move away from serving up blue links and asking a user to choose one of them and toward providing the actual correct answers further eliminating the need for lower positions. Could anything else be causing this shift to the click curve Could it have been.
I see some of the most compelling evidence of RankBrain andor Greece Mobile Number List other machine learning search algorithms at work. The shape of CTR vs. ranking curve is changing every month for the days ending April the average CTR for top position was about percent. July the average CTR rose to about percent. By September the average CTR increased to about percent. The top most prominent positions are getting even more clicks. Obviously they were already getting a lot of clicks. But now theyre getting more clicks than they have in recent history. This is the winnertakeall nature of Googles organic SERPs today.
Its coming at the expense of Positions which are being clicked on much less over time. Results that are more likely to attract engagement are pushed further up the SERP while results with lower engagement get pushed further down. Thats what we believe RankBrain is doing. us something very interesting. A couple thoughts This is exactly the fingerprint you would expect to see for a machine learningbased algorithm doing query interpretation that impacts rank based on user engagement metrics such as CTR. Essentially machine learning systems move away from serving up blue links and asking a user to choose one of them and toward providing the actual correct answers further eliminating the need for lower positions. Could anything else be causing this shift to the click curve Could it have been.