The Importance Of Analysing the Correct Ranking Factors for Effective Predictive SEO

Learn How Predictive SEO Impacts the Future of SEO with Rebecca Berbel 07 December 2021 at 17 H CEST (Paris)

It REALLY matters which factors (or features) you choose to analyse when building a Predictive SEO model. In this clip, Rebecca Berbel tells us that your choice of factors is vital, and that if you miss a key factor, your model will not help you truly understand what affects your rankings (and to what extent).

00:00 Effectiveness depends on factors being analysed
00:13 Importance of key factor analysis
00:35 Analyse and know the contribution

Transcript from: The Importance Of Analysing the Correct Ranking Factors for Effective Predictive SEO

It depends on the factors that you are analyzing. If you are not analyzing a key factor in what makes you rank in the top 10, your results are not going to be good. A little like the line we saw earlier where we didn’t analyze any pages that had a citation flow of over 60. So our results were bad for anything over 60.

So here, if we’ve forgotten to analyze something, we don’t know its contribution. And if we don’t know its contribution, it could be way, way, way more important than citation flow. It might be an E-A-T factor for example, or it might be an entity related factor. Yeah. And that is part of the problem is that we’re going to tend to put in the features or the factors that we traditionally think about, which is this list here.

That’s great information, incredibly insightful, but I was thinking about entities in particular.