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1
ACTIONABLE CUSTOMER
INTELLIGENCE: BUSINESS
CASE STUDY
Ganes Kesari
Guest Lecture - ”Customer Journey Analytics”
2
INTRODUCTION
Ganes Kesari
Co-founder & Head of Analytics
“Simplify Data Science for all”
100+ Clients
Insights as Stories
@kesaritweets Help start, apply and adopt Data Science
3
LET’S START WITH A
STORY!
Image by svgsilh
4
CUSTOMER EXPERIENCE IS
BROKEN TODAY
MYOPIC TRANSACTIONAL UNSCIENTIFIC
SILOED INDIFFERENT
5
ERRORS USING INADEQUATE DATA
ARE MUCH LESS THAN USING NO
DATA AT ALL
C H A R L E S B A B B A G E
“
6
4 STEPS TO
ACTIONABLE CUSTOMER
INTELLIGENCE
7
UNDERSTAND
THE CUSTOMER
1
4 STEPS TO TRANSFORM YOUR CX
8
G O A L S A U D I E N C E A C T I O N S
Goals: Why am I
creating this?
Who are my users and
what do they want?
What actions should I
enable for them?
“Is purpose defined in sufficient detail?”
“ Show the manufacturing delays. ”
“ Show the manufacturing delays:
Ø over the last 12 months,
Ø across different products,
Ø by stages of production
Ø and highlight the bottom 10%. ”
vs
“Is my coverage complete?”
What’s excluded...
…is often more important than
what’s included
11
COLLECT THE
DATA
2
4 STEPS TO TRANSFORM YOUR CX
12
L O O K O U T F O R 3
T Y P E S O F F E E D B A C K
Review websites, social
media
INDIRECT
Website clickstream
data, contact center
INFERRED
Voice of Customer
surveys, Interviews
DIRECT
Source: Gartner Market Guide for Voice-of-the-Customer Solutions
13
14
LINK
GOOGLE SUGGEST: INDIA’S RELIGIONS
15
GOOGLE SUGGEST: US’ RELIGIONS LINK
16
WITH COVID-19, THE PRIORITIES CHANGED..
17
..AND NOW WE ARE BACK TO TAKING SCREENSHOTS AND LOSING WEIGHT!
18
MAP THE
JOURNEY STEPS
3
4 STEPS TO TRANSFORM YOUR CX
19
S A M P L E T H I S C U S T O M E R
F E E D B A C K F R O M A V O C S U R V E Y
“I loved the product features and super-quick onboarding, but the great experience
did not continue while using your product. Your support teams have been helpful,
but I’m not sure whether I’ll buy again.”
20
T A G T H E C O N T E N T T O
J O U R N E Y S T E P S
Identify Customize Use Product
Deal with Issues
Reorder
“I loved the product features and super-quick
onboarding, but the great experience did not
continue while using your product. Your
support teams have been helpful, but I’m not
sure whether I’ll buy again.”
“I loved the product features and super-quick onboarding, but the great experience
did not continue while using your product. Your support teams have been helpful,
but I’m not sure whether I’ll buy again.”
21
L E T ’ S N O W A S K T H E
Q U E S T I O N S
Approach to data Benefits
AI / ML models with recommendations What actions will help me convert my
detractors into promoters?
Simple ML models What will be my promoter score
next quarter?
Statistics What led to lower
satisfaction in EMEA?
Simple summaries
Did I improve on
customer satisfaction?
22
INTEGRATE THE FEEDBACK
SIGNALS
“Your summer collection
didn’t interest me”
Store Survey
“Drop in market share by
2.5% last month”
Market Report
“Disappointed with Brand
‘A’. Anyone still buying?”
Social Media
“Brand ‘B’ has more
‘vibrant’ colors than you”
Competitive Survey
Our summer collection didn’t work. We los 2.5% market share
with a projected revenue dip. We must improve our product.
“
“Predicted dip in Monthly
revenue by 11%”
Financials
23
RECOMMEND
INSIGHTS AS
STORIES
4
4 STEPS TO TRANSFORM YOUR CX
24
O V E R 5 0 % O F D A T A S C I E N C E
P R O J E C T S N E V E R G E T
D E P L O Y E D .
B A D S T O R Y T E L L I N G I S A K E Y
R E A S O N F O R T H I S F A I L U R E .
G A R T N E R
Gartner: “How to use Storytelling to sell your Data science projects”, Apr 25 ‘19
“
25
Gartner: “How to use Storytelling to sell your Data science projects”, Apr 25 ‘19
26
VISUALIZATION: CONVERT NUMBERS TO
PICTURES
Gartner: “How to use Storytelling to sell your Data science projects”, Apr 25 ‘19
27
ADD CONTEXT & NARRATIVE TO BUILD THE STORY
Sales grew 40% in 2018, despite competitive product launches
Gartner: “How to use Storytelling to sell your Data science projects”, Apr 25 ‘19
28
STORYTELLING CHANGES IN
CUSTOMER SATISFACTION
Hig
h
Impact
on
Satisfaction
Low
High impact CX
Negative Positive
Low High
Customer Sentiment
Q2’20
Identify
Buy
Q2’20
Service
Q2’20
Reorder
Q2’20
Use
Q2’20
Customize
Improve on ‘Service’
Maintain ‘Identify’ & ‘Buy’
‘Customize’ is less important
Q2’20
29
RECAP: 4 STEPS TO ACTIONABLE
CUSTOMER INTELLIGENCE
• Define customer persona
• Ask the right questions
UNDERSTAND
1
2 • Direct, Indirect, Inferred
• Analyze all data types
COLLECT
4
STORY-TELL
• Visualize the insights
• Drive actions with stories
3
ANALYZE
• Understand their Journey
• Roll-up for the headline
30
BUSINESS CASE
Source: Gramener case study
31
T H A N K Y O U !
G E T I N T O U C H
gramener.com gkesari.com

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RBS Guest Lecture - Actionable Customer Intelligence with Journey Mapping

  • 1. 1 ACTIONABLE CUSTOMER INTELLIGENCE: BUSINESS CASE STUDY Ganes Kesari Guest Lecture - ”Customer Journey Analytics”
  • 2. 2 INTRODUCTION Ganes Kesari Co-founder & Head of Analytics “Simplify Data Science for all” 100+ Clients Insights as Stories @kesaritweets Help start, apply and adopt Data Science
  • 3. 3 LET’S START WITH A STORY! Image by svgsilh
  • 4. 4 CUSTOMER EXPERIENCE IS BROKEN TODAY MYOPIC TRANSACTIONAL UNSCIENTIFIC SILOED INDIFFERENT
  • 5. 5 ERRORS USING INADEQUATE DATA ARE MUCH LESS THAN USING NO DATA AT ALL C H A R L E S B A B B A G E “
  • 6. 6 4 STEPS TO ACTIONABLE CUSTOMER INTELLIGENCE
  • 7. 7 UNDERSTAND THE CUSTOMER 1 4 STEPS TO TRANSFORM YOUR CX
  • 8. 8 G O A L S A U D I E N C E A C T I O N S Goals: Why am I creating this? Who are my users and what do they want? What actions should I enable for them?
  • 9. “Is purpose defined in sufficient detail?” “ Show the manufacturing delays. ” “ Show the manufacturing delays: Ø over the last 12 months, Ø across different products, Ø by stages of production Ø and highlight the bottom 10%. ” vs
  • 10. “Is my coverage complete?” What’s excluded... …is often more important than what’s included
  • 11. 11 COLLECT THE DATA 2 4 STEPS TO TRANSFORM YOUR CX
  • 12. 12 L O O K O U T F O R 3 T Y P E S O F F E E D B A C K Review websites, social media INDIRECT Website clickstream data, contact center INFERRED Voice of Customer surveys, Interviews DIRECT Source: Gartner Market Guide for Voice-of-the-Customer Solutions
  • 13. 13
  • 15. 15 GOOGLE SUGGEST: US’ RELIGIONS LINK
  • 16. 16 WITH COVID-19, THE PRIORITIES CHANGED..
  • 17. 17 ..AND NOW WE ARE BACK TO TAKING SCREENSHOTS AND LOSING WEIGHT!
  • 18. 18 MAP THE JOURNEY STEPS 3 4 STEPS TO TRANSFORM YOUR CX
  • 19. 19 S A M P L E T H I S C U S T O M E R F E E D B A C K F R O M A V O C S U R V E Y “I loved the product features and super-quick onboarding, but the great experience did not continue while using your product. Your support teams have been helpful, but I’m not sure whether I’ll buy again.”
  • 20. 20 T A G T H E C O N T E N T T O J O U R N E Y S T E P S Identify Customize Use Product Deal with Issues Reorder “I loved the product features and super-quick onboarding, but the great experience did not continue while using your product. Your support teams have been helpful, but I’m not sure whether I’ll buy again.” “I loved the product features and super-quick onboarding, but the great experience did not continue while using your product. Your support teams have been helpful, but I’m not sure whether I’ll buy again.”
  • 21. 21 L E T ’ S N O W A S K T H E Q U E S T I O N S Approach to data Benefits AI / ML models with recommendations What actions will help me convert my detractors into promoters? Simple ML models What will be my promoter score next quarter? Statistics What led to lower satisfaction in EMEA? Simple summaries Did I improve on customer satisfaction?
  • 22. 22 INTEGRATE THE FEEDBACK SIGNALS “Your summer collection didn’t interest me” Store Survey “Drop in market share by 2.5% last month” Market Report “Disappointed with Brand ‘A’. Anyone still buying?” Social Media “Brand ‘B’ has more ‘vibrant’ colors than you” Competitive Survey Our summer collection didn’t work. We los 2.5% market share with a projected revenue dip. We must improve our product. “ “Predicted dip in Monthly revenue by 11%” Financials
  • 24. 24 O V E R 5 0 % O F D A T A S C I E N C E P R O J E C T S N E V E R G E T D E P L O Y E D . B A D S T O R Y T E L L I N G I S A K E Y R E A S O N F O R T H I S F A I L U R E . G A R T N E R Gartner: “How to use Storytelling to sell your Data science projects”, Apr 25 ‘19 “
  • 25. 25 Gartner: “How to use Storytelling to sell your Data science projects”, Apr 25 ‘19
  • 26. 26 VISUALIZATION: CONVERT NUMBERS TO PICTURES Gartner: “How to use Storytelling to sell your Data science projects”, Apr 25 ‘19
  • 27. 27 ADD CONTEXT & NARRATIVE TO BUILD THE STORY Sales grew 40% in 2018, despite competitive product launches Gartner: “How to use Storytelling to sell your Data science projects”, Apr 25 ‘19
  • 28. 28 STORYTELLING CHANGES IN CUSTOMER SATISFACTION Hig h Impact on Satisfaction Low High impact CX Negative Positive Low High Customer Sentiment Q2’20 Identify Buy Q2’20 Service Q2’20 Reorder Q2’20 Use Q2’20 Customize Improve on ‘Service’ Maintain ‘Identify’ & ‘Buy’ ‘Customize’ is less important Q2’20
  • 29. 29 RECAP: 4 STEPS TO ACTIONABLE CUSTOMER INTELLIGENCE • Define customer persona • Ask the right questions UNDERSTAND 1 2 • Direct, Indirect, Inferred • Analyze all data types COLLECT 4 STORY-TELL • Visualize the insights • Drive actions with stories 3 ANALYZE • Understand their Journey • Roll-up for the headline
  • 31. 31 T H A N K Y O U ! G E T I N T O U C H gramener.com gkesari.com