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RFM Segmentation and CLTV Prediction of retailing brand FLO.

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FLO Retailing Customer Segmentation with RFM

FLO Retailing, which exports to Pakistan, Macedonia, Oman, Iran, Turkmenistan and Bulgaria with the shoes brands within its organization, produces 120 thousand pairs of soles daily at the sole factory it owns and exports to many countries such as France, Italy, Portugal, Russia, Ukraine, Romania, Bulgaria, Jordan, Palestine, Egypt, Algeria and Morocco as well as meeting the demand of the Turkish market. Offering employment to more than 7 thousand individuals directly and almost 30,000 indirectly, FLO Retailing accomplishes the production of more than 3 million 500 thousand pairs of shoes and the sales of 35 million pairs of shoes per year.

This project contains CRM Analytics with RFM segmentation and CLTV prediction.

Dataset

The dataset consists of information obtained from the past shopping behaviors of customers who made their most recent purchases from Flo in 2020-2021 through OmniChannel (both online and offline shopping).

Dataset Information:

  • 13 Variables
  • 19.945 observation
  • 2.7 mb

License

MIT

Acknowledgements

This project completed as a part of Miuul Data Science & Machine Learning Bootcamp. Dataset was provided by Miuul and private.

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RFM Segmentation and CLTV Prediction of retailing brand FLO.

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