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#RIC16
Beyond	
  Clienteling	
  
Building  Loyalty  with  
Differen;ated  Customer  Experience
#RIC16
#RIC16
Power	
  has	
  shi3ed	
  
1.7x
conversion
+26%
profitability
#RIC16
The	
  Challenge:	
  How	
  to	
  create	
  loyalty	
  in	
  an	
  era	
  of	
  
greater	
  customer	
  choice	
  and	
  increased	
  expecta7ons?	
  	
  
TRUST	
  	
   HABIT	
  AFFINITY	
  
EXPERIENCES	
   CONSISTENCY	
   PATTERNS	
  
Engaging	
  
Experience	
  
Consistent	
  
Delight	
  
Pa=ern-­‐
building	
  
Triggers	
  
Contextual	
  
Customer	
  
Understanding	
  
Product	
  
Insight	
  
Responsive	
  	
  
PlaEorm	
  
Experiences Consistency
Patterns
#RIC16
ArBficial	
  intelligence	
  meets	
  	
  
consumer	
  psychology	
  
#RIC16
INSPIRE	
   ENGAGE	
   ADVISE/	
  
ENABLE	
   SUPPORT	
   REINFORCE	
  
DISCOVER	
   EXPLORE	
   BUY	
   EXPERIENCE	
   SHARE	
  
shopper	
  
associate	
  
The	
  Sale	
  is	
  Only	
  Part	
  of	
  the	
  Rela7onship	
  
#RIC16
Contextual	
  Cura7on	
  
#RIC16
AI-­‐enabled	
  visual/	
  behavioral	
  search	
  
#RIC16
The	
  Hurdles:	
  Expect	
  challenges	
  
Data
 Systems  
Integra;on
Change  
Management
#RIC16
GePng	
  Started:	
  How	
  to	
  manage	
  the	
  challenges	
  
Design	
  the	
  
Experience	
  
Test,	
  Learn,	
  
Repeat	
  
Start	
  with	
  a	
  
Thin	
  Slice	
  
#RIC16
Design	
  the	
  Experience	
  
Human	
  
Centered	
  
Relevant	
   Transparent	
  
Contextual	
   Connected	
  
#RIC16
Start	
  with	
  a	
  “thin	
  slice”	
  
#RIC16
Vision	
   Speed	
  to	
  Value	
   EvoluBon	
   TransformaBon	
  
Current	
   Vision	
   Current	
   Vision	
  Thin	
  Slice	
   Current	
   Vision	
  Evolve	
   Current	
   Vision	
  Done	
  
#RIC16
But	
  what	
  about	
  our	
  data?	
  
Data	
  Warehouse	
  
With	
  a	
  data	
  warehouse,	
  incoming	
  
data	
  is	
  cleaned	
  and	
  organised	
  into	
  a	
  
single	
  consistent	
  schema	
  before	
  
being	
  put	
  into	
  the	
  warehouse.	
  	
  
Data	
  Lake	
  
With	
  a	
  data	
  lake,	
  
incoming	
  data	
  goes	
  
into	
  the	
  lake	
  in	
  its	
  raw	
  
form.	
  
We	
  select	
  and	
  organise	
  
data	
  for	
  each	
  need.	
  
This	
  makes	
  the	
  Data	
  Warehouse	
  
the	
  bo;le	
  neck	
  for	
  analyzing,	
  
cleansing	
  and	
  making	
  sense	
  of	
  
data	
  
The	
  Data	
  Lake	
  
distributes	
  those	
  
ac?vi?es	
  throughout	
  
the	
  business	
  
Analysis	
  is	
  done	
  directly	
  on	
  the	
  
curated	
  warehouse	
  data.	
  
#RIC16
Opera7ng	
  an	
  effec7ve	
  data	
  lake	
  
Opera?onal	
  systems	
  communicate	
  
with	
  each	
  other	
  via	
  service	
  
connec?ons	
  
Opera?onal	
  systems	
  feed	
  
data	
  into	
  the	
  lake	
  using	
  
topical	
  queues	
  
A	
  few	
  data	
  scien?sts	
  
inves?gate	
  the	
  lake	
  for	
  
poten?al	
  insights	
  
Lakeshore	
  marts	
  
curate	
  and	
  organise	
  
the	
  data	
  for	
  most	
  
analy?cs	
  uses	
  
Mul?-­‐?ered	
  data	
  lake	
  for	
  
processing,	
  distribu?on,	
  and	
  
serving	
  
#RIC16
Customer	
  	
  
Engagement	
  
Employee	
  	
  
Empowerment	
  
OperaBonal	
  
Enhancement	
  
The	
  Payoff:	
  Three	
  key	
  areas	
  
#RIC16
THANK	
  YOU	
  
Dianne	
  Inniss	
  
dinniss@thoughtworks.com	
  

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RIC16_Customer Analytics and Loyalty