Predictive SEO analytics

Why predictive analytics?

It is very difficult to find a more flexible and universal tool for analyzing the quality of a particular request. When working with semantics, SEO experts very subjectively assess the keywords in it, their quality and significance, reducing all indicators simply to the frequency of impressions. But this is a fundamentally wrong approach, since the request has a lot of other indicators that determine how “targeted” it is and how profitable it is for promotion. All these nuances are taken into account in the calculations using this method.

Predictive analytics is the only tool with which you can design a site growth model, taking into account query parameters, promotion goals, budget spent, and seasonal trends. No tool and no service will give you such information, since there is no single template for all sites. Each analysis is created individually for a specific site. There are, of course, standard works, but they end at the stage of collecting requests for the semantic core and data for them. The entire calculation methodology changes based on the subject matter, goals set, promotion budget, etc.

How the whole process of creating an analysis happens

Collecting semantics

All work begins with the collection of the core on the priority pages of the site. Semi-commercial queries are allowed to enter this core (queries with a low commcommerciality index will still be filtered out during calculations). Sometimes there is such a situation that, at first glance, the request is informational, but when checking it for issuance, all sites in the TOP are commercial. And such a request is also very valuable for website promotion. (Without predictive analytics, an SEO could skip it because it would be considered informational, and in a multi-thousand core it is very difficult to check all queries)

Clustering semantics

Next, this core should be correctly clustered if necessary – to separate requests that go to the same page, but should lead to different ones. This is done completely manually or by a combined method – primary clustering – using services, and the final one is performed by an SEO specialist. Proper clustering of requests by TOP results will make it easier to promote them and get faster results.

Statistics collection

In the next step, we collect the maximum amount of data that can be collected using various services for each individual request. We divide all data into groups that can characterize the request, for example:

• Popularity
• Commercial
• Competitiveness
• Traffic
• Seasonality
• etc

It all depends on how deeply you need to analyze and what goal we are pursuing.

Basic calculation and preiretization

Next, we make calculations and amend our formulas if the result does not suit us. It is in the process of adjusting the final issue that all the correctness of the analysis as a whole lies. Depending on the goals that we are pursuing, we can give different keys more or less weight in order to get the most fair forecast.

After all the calculations and adjustments in the document, we present all the calculations we made in one table, understandable for the customer, so that you can simply explain what affects what and where it comes from. Then the leading SEO specialist starts working closely with this document.

If necessary, you can apply a similar calculation technique for many purposes. For example, you need to predict how traffic for a “request to buy a washing machine” will change in the future. This can easily be done with the help of analytics. And there are many such examples. For example, for a huge online–shopа, you can make sales analytics and benefit from the sale of certain goods, taking into account the demand for them and the seasonality of the goods.

One of the first to order the service of Predictive Analytics in SEO in Ukraine from the WEDEX agency and get an advantage over your competitors.