Colt Sliva goes past frequency statistics in web optimization

In part One, we talked about how Colt Sliva became an SEO engineer and some topics related to search chart visualization. In Second part We’ve talked more about entities, Python for SEO, and recruiting developers. In part three we will now go into frequency statistics, improve these models and carry out proper A / B tests in SEO. Frequency statistics For the frequency of an event, i is the number n_ {i} of observations / recordings in an experiment or a study.

The frequency statistic was cheap, quick, and easy to calculate, and that’s why we used it earlier. But we have faster computers, we are smarter, we should use more advanced methods to predict changes and their benefits through machine learning and AI-based methods.

So he hopes SEOs will use more sophisticated methods. For smaller SEO consultants, or even smaller websites, websites with very limited traffic, it’s more difficult.

The big question is whether the new, more advanced models work better than the cheaper method of frequency statistics? It’s unclear at the moment.

I mentioned that at the end Keyword planner tool added trending data, with details, worth checking out if you haven’t seen it.

iPullRank hires, so if you’re looking for a job give them a call.

More next week, but you can find out more about Colt Sliva @SignorColt.

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Forum discussion at Youtube.