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Presented By: Abhinav Arya [email_address]
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Similarly, we code the other quintiles and combine the scores to obtain RFM values.  “ 555” is the best score. Recency Frequency Monetary RFM 5 5 4 554 5 5 3 553 5 4 5 545 5 3 3 533 5 3 3 533 5 3 3 533
As pre RFM, The highlighted income group should be the segment where more concentration is to be done.
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Married customers are high. More concentration should be on add-ons. Count of Cust ID   Recency           Sex Marital Status 1 2 3 4 5 Grand Total B (blank) 0.00% 50.00% 50.00% 0.00% 0.00% 100.00% B Total   0.00% 50.00% 50.00% 0.00% 0.00% 100.00% F Married 50.00% 0.00% 0.00% 0.00% 50.00% 100.00%   Single 42.86% 14.29% 14.29% 0.00% 28.57% 100.00% F Total   44.44% 11.11% 11.11% 0.00% 33.33% 100.00% M Married 0.00% 37.50% 12.50% 25.00% 25.00% 100.00%   Single 18.18% 9.09% 27.27% 36.36% 9.09% 100.00% M Total   10.53% 21.05% 21.05% 31.58% 15.79% 100.00% Grand Total   20.00% 20.00% 20.00% 20.00% 20.00% 100.00%
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London Jets Case Study Solution , RFM Analysis

  • 1. Presented By: Abhinav Arya [email_address]
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  • 10. Similarly, we code the other quintiles and combine the scores to obtain RFM values. “ 555” is the best score. Recency Frequency Monetary RFM 5 5 4 554 5 5 3 553 5 4 5 545 5 3 3 533 5 3 3 533 5 3 3 533
  • 11. As pre RFM, The highlighted income group should be the segment where more concentration is to be done.
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  • 13. Married customers are high. More concentration should be on add-ons. Count of Cust ID   Recency           Sex Marital Status 1 2 3 4 5 Grand Total B (blank) 0.00% 50.00% 50.00% 0.00% 0.00% 100.00% B Total   0.00% 50.00% 50.00% 0.00% 0.00% 100.00% F Married 50.00% 0.00% 0.00% 0.00% 50.00% 100.00%   Single 42.86% 14.29% 14.29% 0.00% 28.57% 100.00% F Total   44.44% 11.11% 11.11% 0.00% 33.33% 100.00% M Married 0.00% 37.50% 12.50% 25.00% 25.00% 100.00%   Single 18.18% 9.09% 27.27% 36.36% 9.09% 100.00% M Total   10.53% 21.05% 21.05% 31.58% 15.79% 100.00% Grand Total   20.00% 20.00% 20.00% 20.00% 20.00% 100.00%
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