SlideShare a Scribd company logo
1 of 24
RETAIL CUSTOMER
ANALYSIS
Prepared by : Lambert Tan
Date: May 7, 2016
1
Agenda
◦ Background
◦ RFM Analysis
◦ Demographic Information
◦ Purchase Behavior Analysis
◦ Appendix-1 (Hypothesis and results)
◦ Appendix-2 (SAS Code)
2
Background
◦ Introduction
◦ The retail store has gathered customer purchase behavior information to make further
marketing decisions
◦ The purpose
◦ Targeting valuable customers to craft marketing strategy and conclude features of
valuable customers
◦ To profile the valuable customers base on purchasing behaviour
◦ Inclusion
◦ Recency, order frequency and dollar spent
◦ All purchase records, customers’ income, home value, age, sex, travel time and
education level
◦ Exclusion
◦ Rents, Apartment Number, Kids, Car Number, Telemarket, Total Returns, Purchase,
County Code, Marriage Status, Job Category, Race. Heating Type, Value per Mail
◦ Definition
◦ The Most Valuable customers: RFM Groups 1,2
◦ The Medium Valuable customers: RFM Groups 3,4,5
◦ The Least Valuable customers: RFM Groups 6,7,8
◦ RFM: Recency, Order Frequency and Monetary Spent
3
Key Findings
Demographic
◦ There are only 21% customers who are males.
◦ The age level has no significant difference between all RFM Levels, but the last
three levels are intending to be older than others.
◦ The RFM Group 1 has the lowest average travel time.
CUSTOMER PROFILE
◦ Customers in RFM Group1 have contributed 43.79% of the total purchase with
18.57% of the total population.
◦ RFM Group 6 and 8 made nearly 50% of the total purchase during the two
promotions.
◦ RFM Group 7 showed huge individual purchase power during the two
promotions
◦ When a promotion was launched, the RFM Group 6 and 8 will make purchase
dramatically more than usual periods.
4
RFM Clustered Groups
5
Total
1 18.57%
2 7.99%
3 0.97%
4 1.83%
5 10.68%
6 25.69%
7 2.39%
8 31.89%
18.57%
7.99%
0.97% 1.83%
10.68%
25.69%
2.39%
31.89%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
1 2 3 4 5 6 7 8
Demographic Information
6
79%
21%
Gender
female male
30.74
30.15
33.84
29.36
30.37
31.60
31.87
31.19
27.00
28.00
29.00
30.00
31.00
32.00
33.00
34.00
35.00
1 2 3 4 5 6 7 8
Total
0.00
20000.00
40000.00
60000.00
80000.00
100000.00
120000.00
140000.00
1 2 3 4 5 6 7 8
Average ofINCOME AverageofHOMEVAL 1 2 3 4 5 6 7 8
1 2 3 4
7
Geographic Information
19.28
20.42
23.53
20.46
19.33 19.32
20.15
19.47
0.00
5.00
10.00
15.00
20.00
25.00
1 2 3 4 5 6 7 8
Total
Promotion
8
Individual Average Purchase Power for Promotion 1-7
50.63
43.04
46.68
42.25
38.90
29.49
47.06
28.42
0.00
10.00
20.00
30.00
40.00
50.00
60.00
TOTAL
1 2 3 4 5 6 7 8
Promotion
9
Individual Average Purchase Power for Promotion 8-13
30.43
26.22
33.21
26.25
23.27
17.77
34.89
18.84
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
TOTAL
1 2 3 4 5 6 7 8
10
Promotion
Comparison between Two Promotions: Total Purchase
26.13%
9.55%
1.25%
2.15%
11.55%
21.05%
3.13%
25.19%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
TOTAL
1 2 3 4 5 6 7 8
11
Promotion
Comparison between Two Promotions: Total Purchase
25.18%
9.33%
1.43% 2.14%
11.08%
20.34%
3.72%
26.78%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
TOTAL
1 2 3 4 5 6 7 8
Total Purchase Distribution
12
Excluding the promotions: Individual Average
41.72
20.63
23.21
13.25
18.82
10.10
23.70
7.70
0.00
5.00
10.00
15.00
20.00
25.00
30.00
35.00
40.00
45.00
TOTAL
1 2 3 4 5 6 7 8
13
Total Purchase Distribution
44.29%
9.42%
1.28% 1.39%
11.50%
14.84%
3.24%
14.04%
0.00%
5.00%
10.00%
15.00%
20.00%
25.00%
30.00%
35.00%
40.00%
45.00%
50.00%
TOTAL
1 2 3 4 5 6 7 8
Excluding the promotions: Group Total
Purchase Break Down
14
Apparel
3.25
1.44 1.37
0.56
0.96
0.52 0.49
0.17
4.83
1.51
1.11
1.50
2.58
1.08
3.89
0.82
1.29
0.42
0.79
0.17
0.60
0.27
0.91
0.16
0.00
1.00
2.00
3.00
4.00
5.00
6.00
1 2 3 4 5 6 7 8
Male Apparel Ladies Apparel Unisex Apparel
Purchase Break Down
15
Luxury and Jewelry
0.48
0.32
0.37
0.47
0.09 0.08 0.06 0.03
2.70
1.50
1.05
0.72
1.23
0.62
1.55
0.44
1 2 3 4 5 6 7 8
Average of LUXURY Average of JEWELRY
16
Purchase Break Down
Total dining
2.67
1.66
2.53
1.00
1.20
0.95
1.96
0.76
TOTAL
1 2 3 4 5 6 7 8
17
Purchase Break Down
Home Products: Lamp and Home Accesory
0.99
0.39 0.37 0.33
0.52
0.31
0.89
0.25
4.20
2.03
1.95
1.11
2.19
1.00
2.74
0.93
1 2 3 4 5 6 7 8
Average of LAMPS Average of HOMEACC
18
Outdoor Products
Purchase Break Down
2.89
1.55
1.84
1.33
1.43
0.72
2.30
0.55
1 2 3 4 5 6 7 8
Total
Total
19
Purchase Break Down
Leisure Products
2.51
1.49
1.58
0.78
0.69
0.50
0.34
0.15
Total
Total
Conclusion and Recommendations
20
Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Group 7 Group 8
Men Apparel 3.25 1.44 1.37 0.56 0.96 0.52 0.49 0.17
Ladies Apparel 4.83 1.51 1.11 1.5 2.58 1.08 3.89 0.82
General Apparel 1.29 0.42 0.79 0.17 0.6 0.27 0.91 0.16
Luxury 0.37 0.47 0.48 0.32 0.07 0.03 0.09 0.08
Jewelry 1.05 0.74 2.7 1.49 1.59 0.43 1.22 0.62
Total Dining 2.53 1.06 2.67 1.64 1.98 0.76 1.2 0.95
Lamps 0.37 0.35 0.99 0.38 0.91 0.25 0.52 0.31
Furniture 1.95 1.18 4.2 2.01 2.78 0.93 2.18 1
Outdoor 1.84 1.15 2.89 1.58 2.35 0.55 1.42 0.72
Leisure 1.58 0.79 2.51 1.48 0.35 0.14 0.69 0.5
Preference Ladies Apparel Ladies Apparel Furniture Furniture Furniture Ladies Apparel Ladies Apparel Furniture
Second Preference Men Apparel Men Apparel Outdoor Dining Ladies Apparel Furniture Furniture Dining
Third Preference Dining Furniture Jewelry Outdoor Outdoor Dining Outdoor Ladies Apparel
Preference Table
21
◦ Conclusion: RFM Analysis showed that the group 1,2,3,4 are
regularly active customers, but the group 7 and 8 showed huge
potential during the promotion periods.
◦ Recommendations:
Focus on female customers
Focus on apparel products
Conduct promotion for home furniture and outdoor products
to boost the sales
Conclusion and Recommendations
Appendix-1
22
◦ According to the RFM Analysis, the customers could be divided
into four segments:
Highly Active Apparel Purchaser (Including Group 1, 2)
Affluent-Medium Active Furniture and Outdoor Products
Purchaser (Including Group 3, 4)
Lady Apparel, Home furniture and Outdoor Light
Purchaser(Including Group 5,7)
Promotion-driving Inactive purchaser(Including Group 6,8)
23
Appendix-2
24

More Related Content

Viewers also liked

Data-Driven Lifecycle Email for eCommerce
Data-Driven Lifecycle Email for eCommerceData-Driven Lifecycle Email for eCommerce
Data-Driven Lifecycle Email for eCommerceLitmus
 
RFM Model Conversion Week
RFM Model Conversion WeekRFM Model Conversion Week
RFM Model Conversion WeekAndra Baragan
 
An Introduction to RFM in Analytics
An Introduction to RFM in AnalyticsAn Introduction to RFM in Analytics
An Introduction to RFM in AnalyticsSAS Canada
 
RFM: A Cool Tool for Simple Analytics
RFM: A Cool Tool for Simple AnalyticsRFM: A Cool Tool for Simple Analytics
RFM: A Cool Tool for Simple AnalyticsC.TRAC Inc.
 

Viewers also liked (6)

Data-Driven Lifecycle Email for eCommerce
Data-Driven Lifecycle Email for eCommerceData-Driven Lifecycle Email for eCommerce
Data-Driven Lifecycle Email for eCommerce
 
RFM Model Conversion Week
RFM Model Conversion WeekRFM Model Conversion Week
RFM Model Conversion Week
 
An Introduction to RFM in Analytics
An Introduction to RFM in AnalyticsAn Introduction to RFM in Analytics
An Introduction to RFM in Analytics
 
RFM: A Cool Tool for Simple Analytics
RFM: A Cool Tool for Simple AnalyticsRFM: A Cool Tool for Simple Analytics
RFM: A Cool Tool for Simple Analytics
 
Rfm analysis
Rfm analysisRfm analysis
Rfm analysis
 
RFM Segmentation
RFM SegmentationRFM Segmentation
RFM Segmentation
 

Similar to SAS Project Report

DelMonte Pet Treats Category Review
DelMonte Pet Treats Category ReviewDelMonte Pet Treats Category Review
DelMonte Pet Treats Category Reviewkristin_harris
 
Looking for patterns in the data
Looking for patterns in the dataLooking for patterns in the data
Looking for patterns in the dataRay Poynter
 
Integrating New Products and the Sales Funnel in Demand Planning
Integrating New Products and the Sales Funnel in Demand PlanningIntegrating New Products and the Sales Funnel in Demand Planning
Integrating New Products and the Sales Funnel in Demand Planningfreighthunter
 
Treb Market Watch - January 2016
Treb Market Watch - January 2016Treb Market Watch - January 2016
Treb Market Watch - January 2016Michelle Makos
 
WD-40 Saturday Presentation
WD-40 Saturday PresentationWD-40 Saturday Presentation
WD-40 Saturday PresentationIke Ekeh
 
Retail analytics ASIA workshop_ New perspective on GfK retail analytics
Retail analytics ASIA workshop_ New perspective on GfK retail analyticsRetail analytics ASIA workshop_ New perspective on GfK retail analytics
Retail analytics ASIA workshop_ New perspective on GfK retail analyticsRichard Jo
 
Décima octava encuesta presidencia de la republica
Décima octava encuesta presidencia de la republicaDécima octava encuesta presidencia de la republica
Décima octava encuesta presidencia de la republicaDesde Puebla
 
Dividend Weekly No. 27 2013 - World Yield Report
Dividend Weekly No. 27 2013 - World Yield ReportDividend Weekly No. 27 2013 - World Yield Report
Dividend Weekly No. 27 2013 - World Yield ReportDividend Yield
 
Marketing Research - Study of Shampoos and Hair Conditioners
Marketing Research - Study of  Shampoos and Hair ConditionersMarketing Research - Study of  Shampoos and Hair Conditioners
Marketing Research - Study of Shampoos and Hair ConditionersSanjeev Sahu
 
Macroeconomic and Financial Factors in Hedge Fund Returns_LBRC (July 2016)
Macroeconomic and Financial Factors in Hedge Fund Returns_LBRC (July 2016)Macroeconomic and Financial Factors in Hedge Fund Returns_LBRC (July 2016)
Macroeconomic and Financial Factors in Hedge Fund Returns_LBRC (July 2016)FARROKH EMAMI L.
 
TREB Market Watch for May 2016
TREB Market Watch for May 2016TREB Market Watch for May 2016
TREB Market Watch for May 2016Michelle Makos
 
Market Watch May 2016
Market Watch May 2016Market Watch May 2016
Market Watch May 2016Chaba Tamasi
 
Optimizing Assortments by Focusing on Attribute-Based Demand Patterns
Optimizing Assortments by Focusing on Attribute-Based Demand PatternsOptimizing Assortments by Focusing on Attribute-Based Demand Patterns
Optimizing Assortments by Focusing on Attribute-Based Demand PatternsG3 Communications
 

Similar to SAS Project Report (20)

DelMonte Pet Treats Category Review
DelMonte Pet Treats Category ReviewDelMonte Pet Treats Category Review
DelMonte Pet Treats Category Review
 
Looking for patterns in the data
Looking for patterns in the dataLooking for patterns in the data
Looking for patterns in the data
 
Integrating New Products and the Sales Funnel in Demand Planning
Integrating New Products and the Sales Funnel in Demand PlanningIntegrating New Products and the Sales Funnel in Demand Planning
Integrating New Products and the Sales Funnel in Demand Planning
 
Etizola brand plan
Etizola brand planEtizola brand plan
Etizola brand plan
 
Treb Market Watch - January 2016
Treb Market Watch - January 2016Treb Market Watch - January 2016
Treb Market Watch - January 2016
 
WD-40 Saturday Presentation
WD-40 Saturday PresentationWD-40 Saturday Presentation
WD-40 Saturday Presentation
 
Retail analytics ASIA workshop_ New perspective on GfK retail analytics
Retail analytics ASIA workshop_ New perspective on GfK retail analyticsRetail analytics ASIA workshop_ New perspective on GfK retail analytics
Retail analytics ASIA workshop_ New perspective on GfK retail analytics
 
ZQK JV
ZQK JVZQK JV
ZQK JV
 
@Coach Report
@Coach Report@Coach Report
@Coach Report
 
COACH
COACHCOACH
COACH
 
Décima octava encuesta presidencia de la republica
Décima octava encuesta presidencia de la republicaDécima octava encuesta presidencia de la republica
Décima octava encuesta presidencia de la republica
 
Dividend Weekly No. 27 2013 - World Yield Report
Dividend Weekly No. 27 2013 - World Yield ReportDividend Weekly No. 27 2013 - World Yield Report
Dividend Weekly No. 27 2013 - World Yield Report
 
Marketing Research - Study of Shampoos and Hair Conditioners
Marketing Research - Study of  Shampoos and Hair ConditionersMarketing Research - Study of  Shampoos and Hair Conditioners
Marketing Research - Study of Shampoos and Hair Conditioners
 
Macroeconomic and Financial Factors in Hedge Fund Returns_LBRC (July 2016)
Macroeconomic and Financial Factors in Hedge Fund Returns_LBRC (July 2016)Macroeconomic and Financial Factors in Hedge Fund Returns_LBRC (July 2016)
Macroeconomic and Financial Factors in Hedge Fund Returns_LBRC (July 2016)
 
Bloomberg Global M&A
Bloomberg Global M&ABloomberg Global M&A
Bloomberg Global M&A
 
June Meeting
June MeetingJune Meeting
June Meeting
 
Mrp ii
Mrp iiMrp ii
Mrp ii
 
TREB Market Watch for May 2016
TREB Market Watch for May 2016TREB Market Watch for May 2016
TREB Market Watch for May 2016
 
Market Watch May 2016
Market Watch May 2016Market Watch May 2016
Market Watch May 2016
 
Optimizing Assortments by Focusing on Attribute-Based Demand Patterns
Optimizing Assortments by Focusing on Attribute-Based Demand PatternsOptimizing Assortments by Focusing on Attribute-Based Demand Patterns
Optimizing Assortments by Focusing on Attribute-Based Demand Patterns
 

SAS Project Report

  • 1. RETAIL CUSTOMER ANALYSIS Prepared by : Lambert Tan Date: May 7, 2016 1
  • 2. Agenda ◦ Background ◦ RFM Analysis ◦ Demographic Information ◦ Purchase Behavior Analysis ◦ Appendix-1 (Hypothesis and results) ◦ Appendix-2 (SAS Code) 2
  • 3. Background ◦ Introduction ◦ The retail store has gathered customer purchase behavior information to make further marketing decisions ◦ The purpose ◦ Targeting valuable customers to craft marketing strategy and conclude features of valuable customers ◦ To profile the valuable customers base on purchasing behaviour ◦ Inclusion ◦ Recency, order frequency and dollar spent ◦ All purchase records, customers’ income, home value, age, sex, travel time and education level ◦ Exclusion ◦ Rents, Apartment Number, Kids, Car Number, Telemarket, Total Returns, Purchase, County Code, Marriage Status, Job Category, Race. Heating Type, Value per Mail ◦ Definition ◦ The Most Valuable customers: RFM Groups 1,2 ◦ The Medium Valuable customers: RFM Groups 3,4,5 ◦ The Least Valuable customers: RFM Groups 6,7,8 ◦ RFM: Recency, Order Frequency and Monetary Spent 3
  • 4. Key Findings Demographic ◦ There are only 21% customers who are males. ◦ The age level has no significant difference between all RFM Levels, but the last three levels are intending to be older than others. ◦ The RFM Group 1 has the lowest average travel time. CUSTOMER PROFILE ◦ Customers in RFM Group1 have contributed 43.79% of the total purchase with 18.57% of the total population. ◦ RFM Group 6 and 8 made nearly 50% of the total purchase during the two promotions. ◦ RFM Group 7 showed huge individual purchase power during the two promotions ◦ When a promotion was launched, the RFM Group 6 and 8 will make purchase dramatically more than usual periods. 4
  • 5. RFM Clustered Groups 5 Total 1 18.57% 2 7.99% 3 0.97% 4 1.83% 5 10.68% 6 25.69% 7 2.39% 8 31.89% 18.57% 7.99% 0.97% 1.83% 10.68% 25.69% 2.39% 31.89% 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% 1 2 3 4 5 6 7 8
  • 6. Demographic Information 6 79% 21% Gender female male 30.74 30.15 33.84 29.36 30.37 31.60 31.87 31.19 27.00 28.00 29.00 30.00 31.00 32.00 33.00 34.00 35.00 1 2 3 4 5 6 7 8 Total 0.00 20000.00 40000.00 60000.00 80000.00 100000.00 120000.00 140000.00 1 2 3 4 5 6 7 8 Average ofINCOME AverageofHOMEVAL 1 2 3 4 5 6 7 8 1 2 3 4
  • 8. Promotion 8 Individual Average Purchase Power for Promotion 1-7 50.63 43.04 46.68 42.25 38.90 29.49 47.06 28.42 0.00 10.00 20.00 30.00 40.00 50.00 60.00 TOTAL 1 2 3 4 5 6 7 8
  • 9. Promotion 9 Individual Average Purchase Power for Promotion 8-13 30.43 26.22 33.21 26.25 23.27 17.77 34.89 18.84 0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 TOTAL 1 2 3 4 5 6 7 8
  • 10. 10 Promotion Comparison between Two Promotions: Total Purchase 26.13% 9.55% 1.25% 2.15% 11.55% 21.05% 3.13% 25.19% 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% TOTAL 1 2 3 4 5 6 7 8
  • 11. 11 Promotion Comparison between Two Promotions: Total Purchase 25.18% 9.33% 1.43% 2.14% 11.08% 20.34% 3.72% 26.78% 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% TOTAL 1 2 3 4 5 6 7 8
  • 12. Total Purchase Distribution 12 Excluding the promotions: Individual Average 41.72 20.63 23.21 13.25 18.82 10.10 23.70 7.70 0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 45.00 TOTAL 1 2 3 4 5 6 7 8
  • 13. 13 Total Purchase Distribution 44.29% 9.42% 1.28% 1.39% 11.50% 14.84% 3.24% 14.04% 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% 40.00% 45.00% 50.00% TOTAL 1 2 3 4 5 6 7 8 Excluding the promotions: Group Total
  • 14. Purchase Break Down 14 Apparel 3.25 1.44 1.37 0.56 0.96 0.52 0.49 0.17 4.83 1.51 1.11 1.50 2.58 1.08 3.89 0.82 1.29 0.42 0.79 0.17 0.60 0.27 0.91 0.16 0.00 1.00 2.00 3.00 4.00 5.00 6.00 1 2 3 4 5 6 7 8 Male Apparel Ladies Apparel Unisex Apparel
  • 15. Purchase Break Down 15 Luxury and Jewelry 0.48 0.32 0.37 0.47 0.09 0.08 0.06 0.03 2.70 1.50 1.05 0.72 1.23 0.62 1.55 0.44 1 2 3 4 5 6 7 8 Average of LUXURY Average of JEWELRY
  • 16. 16 Purchase Break Down Total dining 2.67 1.66 2.53 1.00 1.20 0.95 1.96 0.76 TOTAL 1 2 3 4 5 6 7 8
  • 17. 17 Purchase Break Down Home Products: Lamp and Home Accesory 0.99 0.39 0.37 0.33 0.52 0.31 0.89 0.25 4.20 2.03 1.95 1.11 2.19 1.00 2.74 0.93 1 2 3 4 5 6 7 8 Average of LAMPS Average of HOMEACC
  • 18. 18 Outdoor Products Purchase Break Down 2.89 1.55 1.84 1.33 1.43 0.72 2.30 0.55 1 2 3 4 5 6 7 8 Total Total
  • 19. 19 Purchase Break Down Leisure Products 2.51 1.49 1.58 0.78 0.69 0.50 0.34 0.15 Total Total
  • 20. Conclusion and Recommendations 20 Group 1 Group 2 Group 3 Group 4 Group 5 Group 6 Group 7 Group 8 Men Apparel 3.25 1.44 1.37 0.56 0.96 0.52 0.49 0.17 Ladies Apparel 4.83 1.51 1.11 1.5 2.58 1.08 3.89 0.82 General Apparel 1.29 0.42 0.79 0.17 0.6 0.27 0.91 0.16 Luxury 0.37 0.47 0.48 0.32 0.07 0.03 0.09 0.08 Jewelry 1.05 0.74 2.7 1.49 1.59 0.43 1.22 0.62 Total Dining 2.53 1.06 2.67 1.64 1.98 0.76 1.2 0.95 Lamps 0.37 0.35 0.99 0.38 0.91 0.25 0.52 0.31 Furniture 1.95 1.18 4.2 2.01 2.78 0.93 2.18 1 Outdoor 1.84 1.15 2.89 1.58 2.35 0.55 1.42 0.72 Leisure 1.58 0.79 2.51 1.48 0.35 0.14 0.69 0.5 Preference Ladies Apparel Ladies Apparel Furniture Furniture Furniture Ladies Apparel Ladies Apparel Furniture Second Preference Men Apparel Men Apparel Outdoor Dining Ladies Apparel Furniture Furniture Dining Third Preference Dining Furniture Jewelry Outdoor Outdoor Dining Outdoor Ladies Apparel Preference Table
  • 21. 21 ◦ Conclusion: RFM Analysis showed that the group 1,2,3,4 are regularly active customers, but the group 7 and 8 showed huge potential during the promotion periods. ◦ Recommendations: Focus on female customers Focus on apparel products Conduct promotion for home furniture and outdoor products to boost the sales Conclusion and Recommendations
  • 22. Appendix-1 22 ◦ According to the RFM Analysis, the customers could be divided into four segments: Highly Active Apparel Purchaser (Including Group 1, 2) Affluent-Medium Active Furniture and Outdoor Products Purchaser (Including Group 3, 4) Lady Apparel, Home furniture and Outdoor Light Purchaser(Including Group 5,7) Promotion-driving Inactive purchaser(Including Group 6,8)
  • 24. 24