Setting the collection depth

[subornaakter20]

To quickly estimate the semantics of a given set of phrases and see what rules should be used to parse the keys, collect them only from the original list, without expansion. This will allow you to determine the appropriate phrases (perhaps you should change the word forms, specify the keys, etc.).

Activating additional functions makes sense when you need to collect the broadest possible semantics. Here is how many additional phrases you will get by collecting the first initial phrase in Google and Yandex:

all methods – maximum 1320;

regular parsing - up to 20 (10 in each search engine);

phrase [0-9] - maximum 200;

phrase [A-Z] - up to 580;

phrase [AZ] – maximum 520.

It turns out that just one phrase can give 1320 search suggestions. Of course, in reality you will not see so many options, because the keys will not be selected for all numbers and restaurants email list letters (even if for all, there will probably be less than 10). But in any case, this method allows you to quickly and easily go through all possible options, without missing anything.

Choose the parsing depth based on the task at hand:

The first one is that popular keys are collected based on the phrases specified in the original list, as well as those formed as a result of automatic substitutions [A-Z], [AZ], [0-9] (if you have activated these functions).

The second is that the system collects popular keys both by the original phrases and by those obtained as a result of the first-level parsing. The semantics expands, and many mid-frequency and low-frequency variants appear.

The third is the deepest level, used for maximum coverage of the topic. Most often, it is pointless to invest in it, since as a result you will receive tens of thousands of keys that require processing (you need to identify and exclude a lot of "garbage"), for which you need to write content. At the same time, parsing at this level is suitable for large resources with wide coverage and high competition (website promotion, lending, etc.). It is also recommended to use it for deepening into the semantics of a limited range of competitive queries.