Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

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Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

description

Improper customer segmentation Inadequacy of customer data Customer retention decreasing Y-o-Y

Transcript of Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Page 1: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Presented By:Abhinav Arya (08EM-002)

Ajay Kant Sehgal (08EM-005)Amandeep Singh (08EM-007)

Page 2: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

London Jets Hockey franchise facing low sales.

Management planning to sell off.

Mediocre results from high budget ad Campaign

Chris Harris, Marketing Manager, facing the challenge to revive the sales.

Page 3: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Improper customer segmentation

Inadequacy of customer data

Customer retention decreasing Y-o-Y

Page 4: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

R – Recency, F – Frequency, M - Monetary

The basic premise of RFM is that customers who have purchased more recently, more frequently and have spent more with your

company are your best prospects for future direct marketing campaigns.

Page 5: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

RFM analysis is commonly performed using the Arthur Hughes method

helps marketers visualize and quickly identify important customer segments

explore the RFM segments in relation to other customer attributes

It is based on three simple customer attributes: Recency of purchase, Frequency of purchase, and Monetary value of purchase

Page 6: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

This approach involves scoring customers based on each RFM factor separately. It begins with sorting your customers based on Recency, i.e., the number of days or months since their last purchase. Once sorted in ascending order (most recent purchasers at the top), the customers are then split into quintiles, or five equal groups.

Page 7: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

20% of the Top customers through Basic RFM ranking

Avg Age - 37 yearsAvg Sales - $312Avg Income - $44272

Page 8: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

This approach is advocated by Arthur Middleton Hughes – one of the biggest proponents of RFM analysis. It begins like the one above, i.e., all customer are initially grouped into 5 cells based on Recency. The next step takes customers in a given Recency cell – say cell number 5, and then ranks those customers based on Frequency. Then customers in the 55 (RF) cell are ranked by monetary value.

Page 9: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)
Page 10: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Recency Frequency Monetary RFM5 5 4 5545 5 3 5535 4 5 5455 3 3 5335 3 3 5335 3 3 533

Similarly, we code the other quintiles and combine the scores to obtain RFM values.

“555” is the best score.

Page 11: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Sum of Total Sales RFMIncome 445 453 533 545 553 554 Grand Total15762-35761 0.00% 83.33% 16.67% 0.00% 0.00% 0.00% 100.00%35762-55761 0.00% 0.00% 41.42% 0.00% 14.20% 44.38% 100.00%55762-75761 48.84% 0.00% 0.00% 51.16% 0.00% 0.00% 100.00%Grand Total 25.87% 10.27% 16.43% 27.10% 4.93% 15.40% 100.00%

As pre RFM, The highlighted income group should be the segment where more concentration is to be done.

Page 12: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Our most recent customers are 90% vehicle owners

Count of Trans Per Year RFMVehicleOwnership 445 453 533 545 553 554 Grand TotalNo 1 1Yes 1 1 2 1 1 1 7Grand Total 1 1 3 1 1 1 8

Page 13: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Count of Cust ID   Recency          

Sex Marital Status 1 2 3 4 5Grand 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%

Married customers are high. More concentration should be on add-ons.

Page 14: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Issue discounts for the club memberships

Sum of Total Sales RFMJets Fanx Club Member 445 453 533 545 553 554 Grand TotalNo 25.87% 10.27% 16.43% 27.10% 4.93% 15.40% 100.00%Grand Total 25.87% 10.27% 16.43% 27.10% 4.93% 15.40% 100.00%

Page 15: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

Die HardTouristMiserFlirter

Page 16: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

For Married customers, couple passes, and play area for there kids. Happy meal are other good options.

Promotional giveaways by sponsoring companies that are announced at the game

To waive the membership fee to the fan club after so many games are attended.

Cross-sell merchandise

True fans of the London Jets

Page 17: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

On arrival to the game VIPs could receive free valet parking and a coat check.

VIP section of the arena created specifically for higher paying customers

Complementary food and drinks be offered to the VIPs by a wait staff so that the fans would not have to leave their seats

We believe that the above strategies will help to get this potentially profitable segment to attend more games, and from there we can hopefully build some long-term loyalty.

Page 18: Presented By: Abhinav Arya (08EM-002) Ajay Kant Sehgal (08EM-005) Amandeep Singh (08EM-007)

THANK YOU