A Proposal Digital Marketing Strategy for MarcheluzzoSrl: Training and Evaluating a Prediction Model for the Number of Adv. Impressions
Abstract
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 systemvia 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.
Full Text: PDF DOI: 10.15640/jmm.v8n1a7
Abstract
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 systemvia 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.
Full Text: PDF DOI: 10.15640/jmm.v8n1a7
Browse Journals
Journal Policies
Information
Useful Links
- Call for Papers
- Submit Your Paper
- Publish in Your Native Language
- Subscribe the Journal
- Frequently Asked Questions
- Contact the Executive Editor
- Recommend this Journal to Librarian
- View the Current Issue
- View the Previous Issues
- Recommend this Journal to Friends
- Recommend a Special Issue
- Comment on the Journal
- Publish the Conference Proceedings
Latest Activities
Resources
Visiting Status
Today | 30 |
Yesterday | 45 |
This Month | 200 |
Last Month | 5007 |
All Days | 1486527 |
Online | 8 |