Abstract
Conversion in advertising – the ratio of the number of ad impressions to the number of hits to the advertiser; Conversion in Internet marketing is the ratio of site visitors who performed the desired action (clicked on a link, voted, bought) to the total number of site visitors. As a result of the work of an advertising company, many indicators are recorded in an organization. The datasets collected in this way can be further processed by means of mathematical modeling and tools for working with big data. The result is unique predictive and classification models that are the physical representation of error correction. The current work presents econometric data analysis using the RStudio correlation and regression analysis tools. As a result, it is expected to obtain a model for assessing the results of advertising campaigns or their intermediate stages for the prompt adjustment of the product promotion policy. Data analysis collected during the period of advertising campaigns is an indepth study of advertising using web analytics and established metrics. Tools such as Google Adwords or Yandex.Direct provide a number of tools for analyzing the effectiveness of advertising for company products (in our case, these are educational services) on the Internet.
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