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Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling

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SejalKankriya/customer-insight-clustering

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Precision Market Segmentation

This project utilizes advanced analytics in R to delineate market segments within retail, optimizing targeted marketing strategies through detailed customer behavior and demographic profiling. By applying hierarchical clustering and other statistical techniques in R, this project aims to optimize targeted marketing strategies through comprehensive customer behavior and demographic profiling.

Features

  • Data Exploration: Initial analysis of demographic and transactional data to understand baseline trends.
  • Hierarchical Clustering: Detailed segmentation of customer data to identify distinct groups based on purchasing behavior and demographics.
  • Visualization: Graphical representations of data and clustering results to illustrate segment characteristics.
  • Strategic Insights: Recommendations for marketing strategies tailored to each customer segment.

Prerequisites

What you need to install the software:

  • R (Version 3.6 or later recommended)
  • RStudio (for managing R projects)

License

This project is licensed under the MIT License.

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Advanced analytics in R to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling

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