Lead Scoring in using Artificial Intelligence and Network Ranking Methods

This research project works to improve the industry partner’s customer engagement prediction by using advanced analytics. The project focuses on understanding which contacts are most likely to engage with a customer’s marketing campaign, such as opening emails, clicking links, or making transactions. By analyzing a large amount of data, the research team will develop models and techniques to accurately predict customer behavior. This will help the industry partner provide targeted and effective communication strategies for their customers, enhancing their overall experience. The project will also contribute to the academic discourse on data analysis and predictive modeling, potentially offering new insights and strategies for improving customer engagement in the digital marketing domain.

Faculty Supervisor:

Stanko Dimitrov

Student:

Partner:

Constant Contact

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Waterloo

Program: