The methodological framework introduced in this paper, MECOVMA, is a novel framework
that guides the application of Machine Learning specifically for marketing predictions within …

In a contemporary context characterised by shifts in macroeconomic conditions and global
uncertainty, predicting the future behaviour of demanders is critical for management science …

In a contemporary context characterised by shifts in macroeconomic conditions and global
uncertainty, predicting the future behaviour of demanders is critical for management science …

Marketers may use the power of advanced investigation and arrangement of data
incorporating algorithms for learning into the modelling of the marketing mix (MMM). This …

This study at ScanmarQED focusses on developing the AutoForecaster, an automated
system for predicting a marketing Key Performance Indicator (KPI) while incorporating …

Ensemble methods have received a great deal of attention in the past years in several
disciplines. One reason for their popularity is their ability to model complex relationships in …

Predictive analytics has revolutionized marketing practice. It involves using many techniques
from data mining, statistics, modelling, machine learning and artificial intelligence, to …

Make personalized marketing a reality with this practical guide to predictive analytics
Predictive Marketing is a predictive analytics primer for organizations large and small …

Machine learning (ML) refers to the study of methods or algorithms designed to learn the
underlying patterns in the data and make predictions based on these patterns. 1 ML tools …

The dynamic nature of contemporary markets demands adaptive strategies that can
anticipate and respond to changing consumer behaviors. Traditional reactive approaches …