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Zupeng Deng/ Benita Vaz / Limai Wu/ Siting Zhang
Team 6
Business Objective
Key
Finding
01
Geographic
➢ CA consists of maximum percentage of our
customers at 37.34% followed by NY
(10.63%), NJ (6.62%), FL (5.10%) and TX
(4.22%)
02
03
04
Demographic
➢ Bigger families with children
➢ Completed college Education
➢ Professionals/Technical and clerical
Home-ownership
➢ 92% of customers are home-owners
Lifestyle
➢ Luxury lifestyle
➢ Higher inclination to outdoor activities,
gardening, family activities, dining
➢ Travel for business as well as leisure
Customer
Analysis
Concentration in industrial cities
Leverage marketing budget in Houston, CA, Chicago.
•Highest number of customers (>450) belong
to comparatively crowded industrial cities
• Houston
• Los Angeles
• Brooklyn
• San Francisco
• Chicago
• San Jose
Married well settled professionals
• In comparison with the
population, a higher
number of our customers
are married.
• Design a new marriage
trust and promote its
benefits. For example,
rich people can avoid
certain amount of tax by
building trust fund for
their spouses.
Additionally, the marriage
trust can reduce the
divorce conflicts on
property by designing
related articles.
• In comparison with the
population, a higher
number of our customers
are Professionals either
working in the
Management cadre or
medical services or self-
employed.
Higher probability of home-ownership
92% of customers are home-owners or probable owner
• Comparing with
population, our
current customers are
more likely to own a
home.
• Trust fund
departments can
provide a bundle trust
and house especially
in California area,
where earthquake is
frequent. ???
High-end luxury and healthy lifestyle
Gourmet Cooking, Health/natural Foods, Wines, Fashion Clothing, Home Décor, Etc.
• The customers who have bought
trust are tend to live a luxury
lifestyle. They are more into
gourmet cooking, organic foods and
high-end wines. They also have
high standard on aesthetics for
clothing and home décor.
Moreover, they enjoy outdoor
activities.
• Trust fund department can offer 1-
on-1 customized high-end service
as the complement of trust product.
Moreover, banks can collaborate
with outdoor or fitness clubs to offer
customers free club memberships.
High interest in recreational activities
Interested in family actives and gardening
Trust fund customers value
family activities and gardening
more than the population do.
Travel for business as well as leisure
Our customers travel a lot. Trust fund can
corporate with airline alliance to give
more mileage points to customers.
Segment
Analysis
Customer Segment
High-flyers
• Commonly known as Generation X (Age group 36-51)
• Bigger families Health freaks
• Family oriented
Dynamos
• Commonly known as Millennial (18-35)
• Smaller families
• Career focused
Strategic
Recommendation
❖ Product
❖Diversify product offering - marriage trust fund
❖ Price
❖ Premium pricing strategies
❖ Placement
❖ Leverage resource in Houston, Los Angeles, Brooklyn, San Francisco, Chicago.
❖ Promotion
❖ “Live Life” campaign for highflyers
❖ “Dwell safe” campaign for dynamos
Membership Benefits
• Free Club Celebrity Membership
• Fitness centers, Outdoor sports,
weekend getaways
• Social Events with other Members
• Family get-togethers
• Global Travel Opportunities and Discounts
• Travel Certificates, gift-coupons
Marketing Campaign – “Live Life”
Targeting Highflyers generation X- “Because you deserve to enjoy“
❖ Bundling home insurance and trusts
As more people become educated about estate
planning, trusts become an attractive option for
homeowners interested in passing along their homes
and other property to loved ones and heirs without
subjecting them to the public, expensive, and time-
consuming probate process.
Marketing Campaign – “Dwell safe”
Targeting dynamos – Assured and Insured for life
Appendix
Cluster Analysis
marital_status num_of_children child7_9 child10_11 child13_18
1 1.694289 1.463078 1.067115 1.088119 1.076633
2 1.911861 4.022125 1.635473 1.640189 1.281103
great_outdoors health_fitness luxury_life gardening family
1 1.486052 1.562028 1.496882 1.583361 1.486872
2 1.644178 1.761697 1.637287 1.776569 1.797606
R code
Part A Data cleaning
R code
Part A Data cleaning
R code
Part B Cluster Analysis

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MKT_SIGMA

  • 1. Zupeng Deng/ Benita Vaz / Limai Wu/ Siting Zhang Team 6
  • 3. Key Finding 01 Geographic ➢ CA consists of maximum percentage of our customers at 37.34% followed by NY (10.63%), NJ (6.62%), FL (5.10%) and TX (4.22%) 02 03 04 Demographic ➢ Bigger families with children ➢ Completed college Education ➢ Professionals/Technical and clerical Home-ownership ➢ 92% of customers are home-owners Lifestyle ➢ Luxury lifestyle ➢ Higher inclination to outdoor activities, gardening, family activities, dining ➢ Travel for business as well as leisure
  • 5. Concentration in industrial cities Leverage marketing budget in Houston, CA, Chicago. •Highest number of customers (>450) belong to comparatively crowded industrial cities • Houston • Los Angeles • Brooklyn • San Francisco • Chicago • San Jose
  • 6. Married well settled professionals • In comparison with the population, a higher number of our customers are married. • Design a new marriage trust and promote its benefits. For example, rich people can avoid certain amount of tax by building trust fund for their spouses. Additionally, the marriage trust can reduce the divorce conflicts on property by designing related articles. • In comparison with the population, a higher number of our customers are Professionals either working in the Management cadre or medical services or self- employed.
  • 7. Higher probability of home-ownership 92% of customers are home-owners or probable owner • Comparing with population, our current customers are more likely to own a home. • Trust fund departments can provide a bundle trust and house especially in California area, where earthquake is frequent. ???
  • 8. High-end luxury and healthy lifestyle Gourmet Cooking, Health/natural Foods, Wines, Fashion Clothing, Home Décor, Etc. • The customers who have bought trust are tend to live a luxury lifestyle. They are more into gourmet cooking, organic foods and high-end wines. They also have high standard on aesthetics for clothing and home décor. Moreover, they enjoy outdoor activities. • Trust fund department can offer 1- on-1 customized high-end service as the complement of trust product. Moreover, banks can collaborate with outdoor or fitness clubs to offer customers free club memberships.
  • 9. High interest in recreational activities Interested in family actives and gardening Trust fund customers value family activities and gardening more than the population do.
  • 10. Travel for business as well as leisure Our customers travel a lot. Trust fund can corporate with airline alliance to give more mileage points to customers.
  • 12. Customer Segment High-flyers • Commonly known as Generation X (Age group 36-51) • Bigger families Health freaks • Family oriented Dynamos • Commonly known as Millennial (18-35) • Smaller families • Career focused
  • 14. ❖ Product ❖Diversify product offering - marriage trust fund ❖ Price ❖ Premium pricing strategies ❖ Placement ❖ Leverage resource in Houston, Los Angeles, Brooklyn, San Francisco, Chicago. ❖ Promotion ❖ “Live Life” campaign for highflyers ❖ “Dwell safe” campaign for dynamos
  • 15. Membership Benefits • Free Club Celebrity Membership • Fitness centers, Outdoor sports, weekend getaways • Social Events with other Members • Family get-togethers • Global Travel Opportunities and Discounts • Travel Certificates, gift-coupons Marketing Campaign – “Live Life” Targeting Highflyers generation X- “Because you deserve to enjoy“
  • 16. ❖ Bundling home insurance and trusts As more people become educated about estate planning, trusts become an attractive option for homeowners interested in passing along their homes and other property to loved ones and heirs without subjecting them to the public, expensive, and time- consuming probate process. Marketing Campaign – “Dwell safe” Targeting dynamos – Assured and Insured for life
  • 18. Cluster Analysis marital_status num_of_children child7_9 child10_11 child13_18 1 1.694289 1.463078 1.067115 1.088119 1.076633 2 1.911861 4.022125 1.635473 1.640189 1.281103 great_outdoors health_fitness luxury_life gardening family 1 1.486052 1.562028 1.496882 1.583361 1.486872 2 1.644178 1.761697 1.637287 1.776569 1.797606
  • 19. R code Part A Data cleaning
  • 20. R code Part A Data cleaning
  • 21. R code Part B Cluster Analysis