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The Client`s Qualification Model Development on the Paid-for Advertising Market

Student: Kriuchkov Maksim

Supervisor: Olga Yur'evna Andreeva

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Smart-Marketing: Data, Analysis, Insight (Master)

Year of Graduation: 2019

The research is aimed to assess the qualification approaches of the client on the paid advertising market, which are based on the estimation of the clients marketing environment. This paper describes the methodology of mathematics model development, which is based on automatic data mining. The data is closely connected with the client's web environment and the main features of the marketing environment. Besides this paper describes the methodology of data grabbing and getting the marketing environment features. The final part of the study is the regression within the client's qualification model and the validation of the obtained values, using coefficients that characterize the predictive power of the model.

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