Advanced Consumer Segmentation Techniques for Maximizing Campaign Success

Authors

Faiz Mohiuddin Mulla

Abstract

As marketing platforms and technology change with incredible speed, we know that effective segmentation is one essential part of a successful campaign! More sophisticated, data-driven segmentation techniques are rising as traditional methods based only on demographics become less effective. It analyses consumer segmentation in marketing, specifically advanced consumer segmentation methods used during the consumption process, such as behavioral, psychographic, and data-driven (AI & ML-driven) contextualized consumer segments. These methods allow businesses to target consumers more accurately, improve personalization, and optimize marketing campaigns. Engagement and ROI can be optimized by utilizing advanced technologies like big data analytics, predictive modeling, and dynamic customer journey mapping. This paper will discuss these segmentation techniques, with a focus on their application in the modern era of marketing strategies, and elaborate on how they can impact marketing campaign success by becoming game changers.

Keywords

Consumer Segmentation, Campaign Success, Artificial Intelligence, Machine Learning, Behavioral Segmentation, Psychographic Segmentation, Big Data, Predictive Analytics, Personalization, Dynamic Customer Journey Mapping, Marketing Strategy, Data-Driven Marketing

Advanced Consumer Segmentation Techniques for Maximizing Campaign Success. Faiz Mohiuddin Mulla. 2021. IJIRCT, Volume 7, Issue 1. Pages 1-6. https://www.ijirct.org/viewPaper.php?paperId=2411108