What to do next with clusters

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Remember that any clustering has an expiration date. After some time, search results will change, so clustering results will become less accurate. Analyze the semantic core every few months, change query groups, delete irrelevant ones, and supplement clusters.

After dividing the keys into clusters, we begin working with them. It is convenient to divide them into several groups:

Branded queries are keywords that mention the company name, for example, in our case it is "Roistat analytics" or "buy Roistat". If such queries have a high frequency, use several keywords for advertising campaigns.

Hot queries convey the actions and needs of the buyer. For example, "buy", "cheap", "how much does it cost". For example, "how much does Roistat cost", "buy end-to-end analytics". After clustering, these phrases viber data can also be used in advertising campaigns.
Product queries. These are low-frequency, specific keys that consist of five or more words. For example, "end-to-end analytics of an online store." You can create separate landing pages for product queries to increase relevant traffic.

High-frequency queries. These are short keywords with general information. They are more expensive than low-frequency or branded ones. Because they are most often entered into the search bar — more than 1,000 times a month. For our company, examples of high-frequency queries are “analytics” or “end-to-end analytics”. We use high-frequency queries to create blog articles. Or we use them for advertisements, but we launch them at low rates. Otherwise, a lot of money will be wasted on advertising for high-frequency queries. Because by the keyword “analytics”, users can search for both end-to-end and web analytics services, as well as the meaning of this word or, for example, training courses on Yandex.Metrica.