|SEO||– 14 min read –||January 31, 2020|
Mass Top Analysis: How To Find Drops, Niches And Best Tricks
Why you need to analyze tops
top 3. The results are very diverse: this happens since the niche is divided into subniches, so you can't see all this domain diversity if you look only at the top 10 or top 100. You need to consider hundreds and thousands of domains.
Serpstat will help you with search analytics - our databases are likely to cover your niche.
How to find dropped domains
Why such drops are better:
How to find such drops:
How it works:
We enter the key, and the script collects all the requests that are in the Serpstat database for this key through API. The service analyzes tops, collects domains, and already checks whois automatically for these domains and forms a table that has:
But not all domains that you find through SERPs are equally useful. Exceptions are:
Traffic and visibility began to fall even before the expiration date.
How to search for new successful sites
Why we need them:
How to find such sites:
What do we check after getting a list of such sites
How to identify subniches by specific sites
What's the profit
How it works
How to divide semantics and optimize texts
How Text Analytics works
Analysis of the importance of keywords in a niche and mass checks
We analyze the importance of words in a niche. You upload several thousand keywords via the API and break them into words. As a result, for each word, we get two metrics: the number of phrases with a word and the total frequency of phrases with a word.
There is no script here. All this can be done through Google Sheets.
There are no blanks for the description, either. Just take the keys for the phrase. For example, we have 40K keys. We divide keys into words. For example, the key "dog toys" has two words "dog" and "toys."
Using the basic capabilities of Google Sheets, you can get a list of such words, and for each count its number in the downloaded 40K keys and their total frequency. So you can highlight the main keys that go together with the central word, for example, "dog."
This is a great way that helps with a quick and lazy crawling of the topic;)
Mass checks of the number of keywords for pages, the number of keywords in the top 10 for domains, the number of keywords with a filter for domains/pages, etc. In general, everything massive, which is not in the interface or checker. This is a mass analysis, which is in the interface for processing domains but is not available for individual pages.
You can find:
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