Understanding SEO Like a Professional Data Scientist

Summary

The website content discusses the importance of understanding keyword intent for SEO professionals and introduces a Google Data Studio classifier for the direct mail niche, which helps in identifying content opportunities and refining keyword research.

Abstract

The article emphasizes the complexity of handling data in SEO and showcases the effectiveness of Google Data Studio in charting query intent for direct mail keywords. It explains the concept of keyword intent, the necessity of aligning content with user search intent, and the four major search intent categories: informational, navigational, commercial, and transactional. The article highlights the use of a Direct Mail classifier in Google Data Studio to segment topic clusters, discover content opportunities, and create relevant content. This classifier, which is based on a template developed by Lazarina Stoy and modified by MadX, is presented as a dynamic tool that evolves with the addition of more keywords and refined intent filters. Readers are encouraged to bookmark the data studio link for ongoing inspiration and to consider using an AI service recommended in the article.

Opinions

The author expresses excitement about using Google Data Studio for visualizing keyword intent, suggesting it as a valuable tool for SEO professionals.
There is a clear emphasis on the importance of matching content with search intent to gain visibility in Google search results.
The article implies that understanding search intent is foundational for a successful content strategy in SEO.
The author suggests that the Direct Mail classifier in Google Data Studio is a powerful resource for content creators and SEO specialists in the direct mail niche.
By recommending an AI service, the author endorses the use of AI tools as cost-effective alternatives to existing platforms like ChatGPT Plus (GPT-4).

Keyword intent

SEO professionals break their heads trying to figure out keyword intent.

Sure, you can invest time in ranking a “How long does first class mail take” article for the “send first class mail” keyword. If you don’t match the intent, Google will ignore your content piece.

Search intent is off in the above example. Both keywords contain the “first-class mail” keyword” but don’t answer the same query.

“Send first class mail” is a keyword with strong transactional intent. And our article falls under a different category — a category that’s miles away from people who’re looking for a mail provider today.

Google constantly changes its algorithms to improve how they serve user-search intent. If the search engine thinks you’ve nailed the intent and have enough domain authority, Google may push your page in front of relevant eyes — aka people searching for your solution.

Search intent is broken down into four major categories:

Fractioned, overlapping, and local intent can be added to the mix as your understanding of search intent grows. For now, the four main categories are more than enough to launch your content strategy.

Let’s look at data. We’ve fed Ahrefs-generated keywords that include the term Direct Mail to Google Data Studio.

The Direct Mail classifier segments direct mail topic clusters that help:

Understand topics in the direct mail niche

Discover exciting content opportunities

Find relevant keywords

Create relevant content

The above classifier will evolve over time as we feed more keywords and refine the intent filters.

Bookmark the data studio link. And every time you need inspiration in the direct mail niche, come back to check the latest version of the direct mail report.

The template was originally developed by LazarinaStoy and later modified by MadX.

Understanding SEO Like a Professional Data Scientist

Search intent meets Google Data Studio

Keyword intent