SlideShare a Scribd company logo
1 of 33
Merchandisers
in a
Personalized
World
UNBXD
2
FASHION & APPAREL
PERSONALIZED COMMERCE
SITE SEARCH * CATEGORY PAGES * PRODUCT RECOMMENDATIONS
2
BOOTH #200/202 © 2017 Unbxd Inc., All rights reserved.
 Personalization and its limitations
 Power of Segmentation & Targeting
 Types of Customer Segments
 Merchandising to effectively target users
 Key Takeaways
AGENDA
3© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
73% of consumers prefer to do business with brands that use
personal information to make their shopping experiences
more relevant (Digital Trends)
86% of consumers say personalization plays a role in their
purchasing decisions (Infosys)
45% of online shoppers are more likely to shop on a site that
offers personalized recommendations (Invesp)
4© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
CONSUMERS EXPECT PERSONALIZATION
5
WHY?
© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
WHAT IS PERSONALIZATION?
6© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
OVERVIEW – 4 TYPES OF PERSONALIZATION
Personalized
Messaging
Email
Onsite personalization
Retargeting
7© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
EMAIL PERSONALIZATION
8© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
PERSONALIZED MESSAGING
9
Notification for
Out of Stock items
added to
users waitlist
© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
10
RETARGETING
Ad on Facebook
that a customer
sees after browsing
Expedia.com
© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
1:1 ON-SITE PERSONALIZATION
11
Product
recommendations
based on your prior
purchase history
© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
1:1 PERSONALIZATION EXAMPLES – CUSTOM PRODUCTS
12
Product based
on your
personal
preference
BOOTH #200/202
WHAT ROLE DO MERCHANDISERS PLAY?
13
BOOTH #200/202
PERSONALIZATION HAS ITS LIMITATIONS
14
BOOTH #200/202
Addresses
25% of users
Can target
70% of users
1:1 PERSONALIZATION TARGETS UP TO 25% OF ALL USERS
15
1:1
Personalization
Segmentation & Targeting
Other Users
Don’t
Ignore
BOOTH #200/202
LIMITATIONS OF PERSONALIZATION
16
Historical Data Login Now
BOOTH #200/202
SEGMENTATION & TARGETING
17
BOOTH #200/202
WHAT IS SEGMENTATION?
18
BOOTH #200/202
19
SEGMENTATION & TARGETING
Financially dependent
(Age < 18)
Young professional
(18 < Age < 30)
Married professional
(30 < Age < 45)
Empty nesters
(45 < Age < 60)
Retired
(Age > 60)
Behavior determined by
guardians
Good long term potential
Lower ticket sizes
Higher risk taking capability
Additional needs – child, education,
buying first home, increase in
insurance
Prepare for retirement
Possible second home
Low risk taking capability
Pension, annuities
BOOTH #200/202
THE FUTURE –TARGETED MERCHANDISING
FOR DIFFERENT CUSTOMER SEGMENTS
20
BOOTH #200/202
 Segment – First Time Visitors
 Data – Low conversion rates for first
time visitors
 Action – Promote products with lower
prices.
 Impact – Higher conversion
SEGMENT # 1 – USER TYPE (NEW USERS)
21
BOOTH #200/202
 Segment – Repeat Visitors
 Data – Repeat visitors typically sort results
by new arrivals
 Action – Boost new arrivals for the repeat
visitors segment
 Impact – Higher conversion & Higher
retention
SEGMENT # 2 – USER TYPE (LOYAL USERS)
22
BOOTH #200/202
 Segment – Device type: Mobile
 Data – High exit rates on search results
pages
 Action – Slot 3 different brands in the
first 20 positions to showcase more
variety
 Impact – Decrease in exit rate and more
mobile revenue
SEGMENT # 3 – DEVICE TYPE (MOBILE)
23
BOOTH #200/202
 Segment – Device type: Desktop
 Data – Calvin Klein shirts have a higher CTR and
top 2 products added to cart are CK1039 and
CK1432
 Action – Boost the Calvin Klein brand and pin
CK1039 and CK1432 to the top positions
 Impact – Greater CTR and More add to cart
SEGMENT # 4 – DEVICE TYPE (DESKTOP)
24
BOOTH #200/202
 Segment – Location – LA
 Data – Visitors are purchasing summer
dresses
 Action: Promote summer dresses on
the dresses category page
 Impact: Higher engagement and
conversion
SEGMENT # 5 – LOCATION (LOS ANGELES)
25
BOOTH #200/202
 Segment – Location – New York
 Data – Visitors are purchasing knit
dresses
 Action: Promote knit dresses on the
dresses category page
 Impact: Higher engagement and
conversion
SEGMENT # 6 – LOCATION (NEW YORK)
26
BOOTH #200/202
 Segment: Source – PPC ad about Vacuum
Cleaners
 Data: Visitors coming in from adwords are
high value customers likely to spend between
$200-$500
 Action: Promote high margin vacuum
cleaners
 Impact: Lower customer acquisition
cost and higher ROI
SEGMENT # 7 – REFERRAL SOURCE (GOOGLE ADS)
27
BOOTH #200/202
 Segment: Source – Social Media
 Data: A particular product is
trending on social media
 Action: Pin this product to the top
position on search results pages
and category page
 Impact: Higher engagement and
Greater CTR
SEGMENT # 8 – REFERRAL SOURCE (SOCIAL MEDIA)
28
BOOTH #200/202
 Segment: Gender - Female
 Data: Marketing team sends a new Nike
product launch email to men and women
 Action: Ensure women arriving on the Nike
brand page see female sports products at
the top
 Impact: Lower bounce rate
SEGMENT # 9 – GENDER (WOMEN)
29
BOOTH #200/202
1 Users are increasingly expecting a personalized online shopping
experience
2 1:1 personalization has limitations and covers only 25% of users
3 Future of merchandising = Targeted merchandising for customer
segments
4 By leveraging Segmentation, merchandisers can effectively target
70% of their visitors
5 Adopt a targeted merchandising strategy – Offer tailored product
assortments to key customer segments
KEY TAKEAWAYS
30
BOOTH #200/202
DISCOVER THE FUTURE OF PRODUCT DISCOVERY AT
BOOTH #200/202
31
QUESTIONS?
32
BOOTH #200/202
THANK YOU!
BOOTH #200/202
Monal Patel
monal@unbxd.com
33

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The e-commerce merchandisers role in a personalized world

  • 2. UNBXD 2 FASHION & APPAREL PERSONALIZED COMMERCE SITE SEARCH * CATEGORY PAGES * PRODUCT RECOMMENDATIONS 2 BOOTH #200/202 © 2017 Unbxd Inc., All rights reserved.
  • 3.  Personalization and its limitations  Power of Segmentation & Targeting  Types of Customer Segments  Merchandising to effectively target users  Key Takeaways AGENDA 3© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 4. 73% of consumers prefer to do business with brands that use personal information to make their shopping experiences more relevant (Digital Trends) 86% of consumers say personalization plays a role in their purchasing decisions (Infosys) 45% of online shoppers are more likely to shop on a site that offers personalized recommendations (Invesp) 4© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 5. CONSUMERS EXPECT PERSONALIZATION 5 WHY? © 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 6. WHAT IS PERSONALIZATION? 6© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 7. OVERVIEW – 4 TYPES OF PERSONALIZATION Personalized Messaging Email Onsite personalization Retargeting 7© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 8. EMAIL PERSONALIZATION 8© 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 9. PERSONALIZED MESSAGING 9 Notification for Out of Stock items added to users waitlist © 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 10. 10 RETARGETING Ad on Facebook that a customer sees after browsing Expedia.com © 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 11. 1:1 ON-SITE PERSONALIZATION 11 Product recommendations based on your prior purchase history © 2017 Unbxd Inc., All rights reserved.BOOTH #200/202
  • 12. 1:1 PERSONALIZATION EXAMPLES – CUSTOM PRODUCTS 12 Product based on your personal preference BOOTH #200/202
  • 13. WHAT ROLE DO MERCHANDISERS PLAY? 13 BOOTH #200/202
  • 14. PERSONALIZATION HAS ITS LIMITATIONS 14 BOOTH #200/202
  • 15. Addresses 25% of users Can target 70% of users 1:1 PERSONALIZATION TARGETS UP TO 25% OF ALL USERS 15 1:1 Personalization Segmentation & Targeting Other Users Don’t Ignore BOOTH #200/202
  • 16. LIMITATIONS OF PERSONALIZATION 16 Historical Data Login Now BOOTH #200/202
  • 19. 19 SEGMENTATION & TARGETING Financially dependent (Age < 18) Young professional (18 < Age < 30) Married professional (30 < Age < 45) Empty nesters (45 < Age < 60) Retired (Age > 60) Behavior determined by guardians Good long term potential Lower ticket sizes Higher risk taking capability Additional needs – child, education, buying first home, increase in insurance Prepare for retirement Possible second home Low risk taking capability Pension, annuities BOOTH #200/202
  • 20. THE FUTURE –TARGETED MERCHANDISING FOR DIFFERENT CUSTOMER SEGMENTS 20 BOOTH #200/202
  • 21.  Segment – First Time Visitors  Data – Low conversion rates for first time visitors  Action – Promote products with lower prices.  Impact – Higher conversion SEGMENT # 1 – USER TYPE (NEW USERS) 21 BOOTH #200/202
  • 22.  Segment – Repeat Visitors  Data – Repeat visitors typically sort results by new arrivals  Action – Boost new arrivals for the repeat visitors segment  Impact – Higher conversion & Higher retention SEGMENT # 2 – USER TYPE (LOYAL USERS) 22 BOOTH #200/202
  • 23.  Segment – Device type: Mobile  Data – High exit rates on search results pages  Action – Slot 3 different brands in the first 20 positions to showcase more variety  Impact – Decrease in exit rate and more mobile revenue SEGMENT # 3 – DEVICE TYPE (MOBILE) 23 BOOTH #200/202
  • 24.  Segment – Device type: Desktop  Data – Calvin Klein shirts have a higher CTR and top 2 products added to cart are CK1039 and CK1432  Action – Boost the Calvin Klein brand and pin CK1039 and CK1432 to the top positions  Impact – Greater CTR and More add to cart SEGMENT # 4 – DEVICE TYPE (DESKTOP) 24 BOOTH #200/202
  • 25.  Segment – Location – LA  Data – Visitors are purchasing summer dresses  Action: Promote summer dresses on the dresses category page  Impact: Higher engagement and conversion SEGMENT # 5 – LOCATION (LOS ANGELES) 25 BOOTH #200/202
  • 26.  Segment – Location – New York  Data – Visitors are purchasing knit dresses  Action: Promote knit dresses on the dresses category page  Impact: Higher engagement and conversion SEGMENT # 6 – LOCATION (NEW YORK) 26 BOOTH #200/202
  • 27.  Segment: Source – PPC ad about Vacuum Cleaners  Data: Visitors coming in from adwords are high value customers likely to spend between $200-$500  Action: Promote high margin vacuum cleaners  Impact: Lower customer acquisition cost and higher ROI SEGMENT # 7 – REFERRAL SOURCE (GOOGLE ADS) 27 BOOTH #200/202
  • 28.  Segment: Source – Social Media  Data: A particular product is trending on social media  Action: Pin this product to the top position on search results pages and category page  Impact: Higher engagement and Greater CTR SEGMENT # 8 – REFERRAL SOURCE (SOCIAL MEDIA) 28 BOOTH #200/202
  • 29.  Segment: Gender - Female  Data: Marketing team sends a new Nike product launch email to men and women  Action: Ensure women arriving on the Nike brand page see female sports products at the top  Impact: Lower bounce rate SEGMENT # 9 – GENDER (WOMEN) 29 BOOTH #200/202
  • 30. 1 Users are increasingly expecting a personalized online shopping experience 2 1:1 personalization has limitations and covers only 25% of users 3 Future of merchandising = Targeted merchandising for customer segments 4 By leveraging Segmentation, merchandisers can effectively target 70% of their visitors 5 Adopt a targeted merchandising strategy – Offer tailored product assortments to key customer segments KEY TAKEAWAYS 30 BOOTH #200/202
  • 31. DISCOVER THE FUTURE OF PRODUCT DISCOVERY AT BOOTH #200/202 31
  • 33. THANK YOU! BOOTH #200/202 Monal Patel monal@unbxd.com 33

Editor's Notes

  1. Consumers are increasingly expecting online retailers to provide a personalized shopping experience when browsing for products online. WHY?
  2. On-site personalization Leveraging data to target users with relevant products after they arrive on your website Personalized messaging Real time offers, dynamic message (based on search keywords) Email Customizing email campaigns based on individual customer data Marketing Retargeting Promote on your retargeting ads the last items a visitor viewed before leaving your site.
  3. Navigational personalization:  Based on browsing behavior and purchase history, you can customize how a customer navigates an ecommerce website. Third-party data: Data aggregators are the most common source of third-party data, which provides your higher level, huge volume audience insights. Third-party data is great for contextual, behavioral and demographic targeting; it isn’t exclusive to you, but it can tell you a great deal more about various audience segments. Predictive personalization: Based on the buying behavior of other users, recommendation engines can predict products that a person might buy in the future. These can then be presented to them through email campaigns, on ecommerce sites, or transactional apps. Amazon lands 30% of its sales via recommendations.
  4. 1:1 personalization is typically automated based on intelligent machine learning algorithms…...if that’s the case, what role will merchandisers play?
  5. While 1:1 personalization is ideal, it targets only 25% of all users. The remaining 75% will still see generic content
  6. Need historical user data Users need to be logged-in (typically only 30% of all users on an e-commerce site are logged in)
  7. Segmentation & Targeting can help merchandisers address the remaining users
  8. The ability to target different groups of customers with customized content and products based on their shared characteristics. Customers are grouped into a specific segment based on having similar: Needs - so that a single whole product can satisfy them. Demographic – age, gender, location, income, etc. Buying characteristics – products viewed, purchased, etc.
  9. Lower price products are shown at the top
  10. New Arrivals boosted
  11. Remove lorem impsum
  12. Remove lorem impsum
  13. Remove lorem impsum
  14. Kim Kardashian perfume trending
  15. Remove lorem impsum
  16. Change the graphic – Use the docket