Improving Customer Engagement via Segmentation Empowered by Machine Learning

11 pages•Published: August 6, 2024

P.D. Mahendhiran, Harini Manickam, Bavana Sadhanantham and Swetha Duraisamy

Abstract

Customer segmentation is a critical component of any marketing strategy for contemporary companies that are ready to compete in a market that is fiercely competitive today. The goal is to use segmentation of customers methodologies to better decision-making, marketing tactics, and customer satisfaction levels in general. The project will get started by gathering and studying various client data, including comments, purchase history, online activity, and demographics. The consumer base will be segmented into various segments based on shared traits and preferences using data analytics as well as machine learning algorithms. The primary objective is to leverage these segments to optimize various facets of business operations, such as marketing campaigns, product development, and customer support. Enterprises can position themselves for enduring expansion and triumph in the constantly evolving and fiercely competitive commercial sphere by adeptly segmenting their consumer demographics and adjusting their approaches accordingly. Through these insights, businesses can achieve more efficient resource utilization and improved ROI (Return On Investment). Emphasizing the significance of customer segmentation as a strategic tool enhances business performance.

Keyphrases: customer analytics, customer classification, customer clustering, customer segmentation

In: Rajakumar G (editor). Proceedings of 6th International Conference on Smart Systems and Inventive Technology, vol 19, pages 206-216.

Links:	https://easychair.org/publications/paper/m4C1
	https://doi.org/10.29007/wx1m

BibTeX entry

@inproceedings{ICSSIT2024:Improving_Customer_Engagement_via,
  author    = {P.D. Mahendhiran and Harini Manickam and Bavana Sadhanantham and Swetha Duraisamy},
  title     = {Improving Customer Engagement via Segmentation Empowered by Machine Learning},
  booktitle = {Proceedings of 6th International Conference on Smart Systems and Inventive Technology},
  editor    = {Rajakumar G},
  series    = {Kalpa Publications in Computing},
  volume    = {19},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2515-1762},
  url       = {/publications/paper/m4C1},
  doi       = {10.29007/wx1m},
  pages     = {206-216},
  year      = {2024}}

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