Author ORCID Identifier
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Economics, Business and Management.
This research aims to describe a digital marketing strategy elaborated to be deployed in the MarcheluzzoSrl Company located in Italy. In addition, it intends to give a wide range of information to the company about its customers, target, competitors, market, digital marketing strategy, and potential recommendations. It is also important to highlight that this strategy is focused on the Brazilian market. Most of the information collected for the situational analysis and many other components for this research were gathered through the author`s perception during his internship in the company. The methodology includes secondary data collected through field observation in the company, documents provided by the organization and internet sources. Finally, the proposal digital marketing strategy was validated through a prediction model using machine-learning system via Python and its tools. The result of the prediction model was addressed and analyzed based on linear regression and correlation matrix methods confirming the efficacy of the proposal strategy, consequently the reliability of the prediction model.
Alves de Castro, Charles, "A Proposal Digital Marketing Strategy for Marcheluzzo Srl: Training and Evaluating a Prediction Model for the Number of Adv. Impressions" (2020). Articles. 172.
Accounting Commons, Advertising and Promotion Management Commons, Business Administration, Management, and Operations Commons, Business Analytics Commons, Business and Corporate Communications Commons, E-Commerce Commons, Entrepreneurial and Small Business Operations Commons, Finance and Financial Management Commons, International Business Commons, Management Sciences and Quantitative Methods Commons, Marketing Commons, Sales and Merchandising Commons