As a result, we obtain the dynamics of basic non-branded traffic:

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rumana777
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As a result, we obtain the dynamics of basic non-branded traffic:

Post by rumana777 »

!*didmarko* — we cut off all requests that contain "didmarko": didmarko ru, didmarko.ru, didmarko company , etc.
!*did*marco* — we cut off everything before "did", everything between "did" and "marco", and everything after "marco": did-marco, did marco internet , etc.


Sources summary_Yandex.Metrica
Determining the seasonality coefficient for the site's target areas
Determining seasonality will help when adjusting base traffic and forecasting growth.

To determine seasonality, we use the mask selection method (in Yandex.Wordstat).

[INFO] A mask request is the main request in a cluster, which kazakhstan cell phone number list contains the entire list of loop requests.[/INFO]

The mask is suitable for the site if both the mask itself and all queries from the trail can be taken for promotion by traffic. For example, for the page the mask "buy a refrigerator" is not suitable, since its trail includes requests like "buy a used refrigerator " or "buy an Atlant refrigerator":

Requests_buy_refrigerator_Yandex.Wordstat
In this case, it is necessary to use the “-” operator to cut off such a trail from the mask demand:

Using special operators in Yandex.Wordstat
If the site does not offer refrigerators of a certain color, brand, model, etc., we adjust the demand by excluding the corresponding words. In a similar way, we collect masks for all the main sections of the site.

Then it is necessary to collect the demand for each mask for previous months (also via Yandex.Wordstat):

Demand for each mask in Yandex.Wordstat
The resulting data must be summarized in a table:
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