This is how you need to do it with each mask and sum up the demand for all masks for each month.
Total demand of all requests
By calculating the average demand for masks for the year and dividing the demand of each month by the average, you can obtain the seasonal demand coefficient.
Seasonal demand coefficient
Checking basic traffic, adjusting it (if necessary)
At this stage, it is necessary to check whether the growth and kenya cell phone number list decline of the base correlates with the dynamics of seasonal demand. There may be three possible scenarios here.
1. The dynamics of basic traffic are identical to the dynamics of seasonality:
Basic traffic dynamics graph
In this case, we take the previously obtained basic traffic as the truth and move on to the next stage.
2. There are unjustified drops or jumps in base traffic.
Example of a drawdown (a real case where a client deleted a large number of products and product categories):
Example of a drop in base traffic
An example of base jumps (also a real case when a client launched contextual advertising without marking it - all paid clicks were counted as basic traffic):