How to correctly apply econometric/statistical packages in statistics in order to evaluate the effectiveness of Yandex.Direct contextual advertising?

Question

data mining

Good day! Analyzing statistics for all Yandex.Direct contextual advertising campaigns (clicks, average cost per click, cost, CTR), as well as having google analytics and some data on calls-> applications-> sales ... can we create a regression model , make some hypotheses, build a forecast for the future, etc.
The purpose of the graduation project is to understand the effectiveness of investing in Yandex.Direct contextual advertising (it is possible to use it in eviews, statistics, R programming language, etc.). Help deal with this problem. Perhaps someone was engaged in the analysis of these data. Maybe someone has some ideas. Or tell me sources / literature / practical cases, etc.
I would be very grateful for an answer!
Thank you!

Answer 1

What exactly is your problem, there are companies, there is money, there are users, do analytics depending on what you want.

Answer 2

It is unlikely that something powerful will be applied here - you can simply estimate the cost of attracting the final visitor, the maximum is the cost of 1 client.

Answer 3

Of course you can make a prediction. For example, if you have statistics for the last 3 months, then you can build a forecast based on the history of queries. Those. You can identify the seasonal factor for each query and perform monthly adjustments.
You can also use cohort analysis in Google Analytics. Nothing really complicated, just a lot of routine))