CUSTOMER SEGMENTATION AND PROFILING FOR E-COMMERCE USING DBSCAN AND FUZZY C-MEANS

Abstract

The Rapid Industrialization has led to a sudden overwhelming boost in business. With growing advancements in technology and the fast-paced growth of users that have access to said technology everything reaches customers faster. Businesses have also tried their hand at being better at technology and thus boosted growth by appealing to a much larger customer base. Market segmentation is an increasingly important part of a strong marketing strategy and can make all the difference for companies in competitive market landscapes, such as e-commerce. To be in business today means much more than quality of the product and a brand name. It involves the right kind of marketing to the right kind of people. This paper focuses on creating a tool to enable businesses to understand the various customers it has, by segmenting them into groups and providing a detailed statistical model for analyzing where the marketing is needed the most and what would be the best offers the company can afford.

Keywords

• customer segmentation
• dbscan
• fuzzy c- means
• clustering
• rfm