Clustering of keywords
Clustering is the creation of pages for a group of queries .
For example, a user has started a renovation at home and now needs wallpaper. He will choose them depending on the properties of different types of wallpaper: paper, vinyl, non-woven, fabric, liquid, etc. The page where all the varieties are collected will be a cluster.
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What is clustering
Words collected in the semantic core are divided into groups depending on:
Intent - an intention that is embedded in a request by the user
Similarities. They bring together synonyms and words in different forms
Top 10 results. Suitable for a site that is tailored to a specific region
Phrases are grouped automatically using special software. This is convenient if the core is large. But inappropriate queries will still have to be caught manually.
You can group semantics yourself. It takes time, but the result is better.
Before grouping, from the core - those for mom phone number data no one is actually moving forward.
The division into clusters looks like this:
The columns in the table are called: "Query", "Frequency", "Cluster", "Type".
Semantics are distributed. For example, the first request is "order pepperoni pizza Tyumen". It is sent to the first column, and then characterized as low-frequency and commercial, sent to the "Pizza pepperoni" cluster.
Analyze the remaining queries. Look at commercialization or top lines of search results for these queries in the region
Start optimizing. Work with existing pages or create new ones
You can also distribute words into clusters using special programs.
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Clustering for an online furniture store ➨ 53% increase in organic leads
Resume
Key queries are words and phrases that are used to promote pages in search engines. They are collected into a semantic core, the contents of which are later divided into clusters — thematic groups of queries for different pages.
Queries are divided by frequency into low-frequency, mid-frequency and high-frequency, commercial and informational depending on the user's intentions.
When distributing words across pages, they rely on their type and adhere to the following principles: one page - one request, etc.