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11/18/16	
   1	
  
Transforma.on	
  of	
  J&M’s	
  Offline	
  Data	
  into	
  Online	
  Treasure	
  
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   2	
  2	
  
TCM	
  is	
  a	
  comprehensive	
  data,	
  analy.cs,	
  and	
  closed-­‐loop	
  marke.ng	
  system	
  
Increased	
  Life.me	
  
Value	
  
Omni-­‐channel	
  
Automa.on	
  
Messaging	
  
Personaliza.on	
  
Behavior	
  Based	
  
Segmenta.on	
  
Data	
  
Aggrega.on	
  
We  create  a  360°  view  of  your  customer  by  integra8ng  all  disparate  data  sources.
We  then  execute  comprehensive  data  analysis  to  generate  ac8onable  insights  that  drive  increased  customer  
engagement  and  incremental  transac8ons.
Customer  PorBolios  =  Total  Customer  Mone8za8on  (TCM)
Transforma8on  of  J&M’s  Offline  Data  into  Online  Treasure
Johnston	
  &	
  Murphy:	
  
•  150+	
  years	
  of	
  business	
  history	
  
•  350+	
  stores	
  –	
  retail,	
  factory,	
  and	
  airport	
  
•  Tens	
  of	
  Thousands	
  of	
  SKU’s	
  
•  Millions	
  of	
  Customers	
  
•  Tens	
  of	
  Millions	
  of	
  transac.ons!	
  
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   3	
  
Customer	
  Por=olios	
  	
  
Marke.ng	
  Pla=orm	
  
There  Are  Many  Best-­‐in-­‐Class  Solu8ons  on  the  Digital  Landscape
The	
  Marke.ng	
  Technology	
  
Landscape	
  growth:	
  
•  947	
  Companies	
  in	
  ‘14	
  
•  1,876	
  Companies	
  in	
  ‘15	
  
…And	
  it	
  is	
  not	
  slowing	
  down!	
  
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   4	
  
Solu8on  Islands  with  Natural  Synergies
1st	
  Party	
  Data	
  Can	
  Be	
  Leveraged	
  	
  
To	
  Make	
  Solu.ons	
  Smarter!	
  
•  Data	
  Islands	
  Everywhere	
  
•  Establish	
  Bi-­‐direc.onal	
  Feeds	
  For	
  
•  Share	
  1st	
  party	
  customer	
  data	
  to	
  enable	
  	
  
more	
  effec.ve	
  solu.on	
  marke.ng	
  
•  Return	
  solu.on	
  results	
  data	
  to	
  	
  
close	
  the	
  loop	
  and	
  report	
  lif	
  
•  Create	
  single	
  point	
  of	
  customer	
  
measurement	
  and	
  understanding	
  
Use	
  Case:	
  J&M	
  Customer	
  Por=olios/
Monetate	
  integra.on	
  for	
  improved	
  
personaliza.on	
  
	
  
	
  
	
  
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   5	
  
CP	
  	
  
Customer	
  Profile	
  
POS	
  /	
  Store	
  
(	
  PII	
  )	
  
eCom	
  
(	
  PII	
  )	
  
Customer	
  
Service	
  
(	
  PII	
  )	
  
DMP	
  
(	
  no	
  PII	
  )	
  
RT	
   SEM	
  
Social	
  
(	
  PII	
  )	
  
T	
   Y	
  G	
  
Mobile	
  
(	
  PII	
  )	
  
APPs	
   PUSH	
  
SMS	
  
J&M	
  	
  
MARKETING	
  
PLATFORM	
  
Email	
   DM	
  
J&M	
  	
  
MARKETING	
  
PLATFORM	
  
Customer  PorBolios-­‐Monetate  Integra8on
1.  Customer	
  Por=olios	
  
customer	
  profile	
  is	
  shared	
  
with	
  Monetate	
  
2.  Profile	
  expands	
  Monetate	
  
customer	
  detail	
  to	
  enable	
  
more	
  relevant	
  targe.ng	
  	
  
3.  Customer	
  is	
  engaged	
  with	
  
greater	
  relevance	
  of	
  
message,	
  content	
  and	
  offer	
  
4.  Data,	
  ac.on	
  and	
  results	
  are	
  
returned	
  to	
  Customer	
  
Por=olios	
  for	
  repor.ng	
  
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   6	
  
Monetate	
  
Customer	
  
Cookie	
  
CP	
  
Customer	
  	
  
Profile	
  
1	
  
Channel	
  
90	
  Days	
  
All	
  
Channels	
  /	
  Touchpoints	
  
14	
  Years	
  /	
  All	
  Customer	
  
Behavior	
  and	
  Transac.ons	
  
Monetate	
  
Customer	
  
Cookie	
  
Data	
  Returned,	
  Results	
  /	
  Lif	
  Measured	
  
Share	
  Enhanced	
  Customer	
  Profile	
  
Customer	
  Engaged	
  	
  
/	
  Greater	
  Relevance	
  
	
  
Customer	
  Profile	
  Integra8on	
  to	
  Create	
  a	
  Smart	
  Cookie!	
  
J&M	
  Customer	
  Profile	
  Alributes	
  Shared	
  with	
  Monetate	
  
Round	
  1	
  –	
  star8ng	
  hypothesis	
  	
  
•  Gender	
  –	
  of	
  the	
  customer	
  visi.ng	
  the	
  J&M	
  web	
  site	
  
•  Nth
	
  Order	
  –	
  is	
  this	
  their	
  1st,	
  2nd,	
  3+	
  purchase	
  
•  Best	
  Customer	
  Flag	
  -­‐	
  >$1K	
  spend	
  in	
  past	
  12	
  months	
  
•  Woman	
  Product	
  Flag	
  –	
  have	
  they	
  ever	
  purchased	
  a	
  woman’s	
  product	
  
•  Segment	
  –	
  8	
  product	
  category	
  segments,	
  e.g.	
  Classic,	
  Updated,	
  Cool,	
  Classic-­‐Cool,	
  Classic-­‐Updated,	
  etc.	
  
Round	
  2	
  –	
  add,	
  based	
  on	
  learning	
  post	
  round	
  1	
  
•  Dis.nct	
  Channel	
  –	
  single	
  –	
  store	
  OR	
  web;	
  mul.	
  –	
  store	
  AND	
  web	
  
•  Store	
  Channel	
  Group	
  –	
  Retail,	
  Airport,	
  Factory,	
  Web,	
  Catalog	
  or	
  mul.-­‐mix	
  of	
  Channels	
  
•  Product	
  Grouping	
  –	
  Footwear,	
  Outerwear,	
  Apparel,	
  or	
  mul.-­‐mix	
  of	
  Product	
  
Round	
  3	
  –	
  next,	
  to	
  be	
  determined	
  once	
  liA	
  is	
  demonstrated	
  
•  300	
  Alributes	
  –	
  a	
  mul.tude	
  of	
  customer	
  alributes	
  like	
  lag-­‐days,	
  next	
  best	
  offer,	
  etc.	
  to	
  be	
  leveraged	
  
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   7	
  
A	
  Customer	
  ID	
  is	
  embedded	
  
within	
  every	
  email	
  link	
  URL	
  to	
  
enable	
  Monetate	
  to	
  capture,	
  
then	
  match	
  to	
  a	
  customer	
  
who	
  “clicks”	
  thru	
  to	
  the	
  web,	
  
using	
  the	
  J&M	
  Smart	
  Cookie	
  
CP  ID  Process  &  Customer  Profile  Sharing
Customer	
  ID	
  Process	
  
Connec8ng  Data  Sources  to  Drive  Increased  Ac8on  &  Value
Monetate	
  launched	
  3	
  pilots	
  	
  
Goal	
  to	
  test	
  Smart	
  Cookie	
  lif	
  with	
  
the	
  CP	
  Customer	
  Profile	
  
Pilot	
  programs	
  targe.ng:	
  
1. Gender	
  Based,	
  increased	
  
engagement	
  on	
  homepage	
  
2. Specific	
  Shoppers,	
  to	
  drive	
  
cross-­‐category	
  
3. Best	
  Customer,	
  increased	
  
targe.ng	
  and	
  relevance	
  
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   8	
  
J&M	
  /	
  Monetate	
  Gender	
  Based	
  Results	
  
Women	
  –	
  replacing	
  homepage	
  slider;	
  liA	
  of	
  test	
  over	
  control	
  
•  16.4%	
  Revenue	
  per	
  session	
  
•  6.6%	
  Order	
  Value	
  per	
  session	
  
•  23.3%	
  New	
  Visitor	
  Conversion	
  per	
  session	
  
Men	
  –	
  replacing	
  homepage	
  slider;	
  liA	
  of	
  test	
  over	
  control	
  
•  -­‐3.3%	
  Cart	
  Abandonment	
  per	
  session	
  
•  6.4%	
  Conversion	
  Rate	
  per	
  session	
  
•  4.9%	
  Revenue	
  per	
  session	
  
Buyers	
   Test	
  1	
  -­‐	
  Revenue	
  per	
  Buyer	
   Total	
  
90	
   $125	
   $11,250	
  
Transac8on  vs  Future  Value  Success
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   9	
  
next	
  best	
  offer	
  test:	
  
Shoe	
  Buying	
  	
  
Customer	
  Retarge.ng	
  
Goal:	
  Revenue	
  Gen.	
  
Test	
  1:	
  Same	
  Category	
  -­‐	
  $125	
  
	
  
	
  
	
  
Results:	
  90	
  of	
  100	
  Conversion	
  
Test	
  2:	
  Cross	
  	
  	
  	
  	
  	
  	
  	
  	
  	
  Category	
  -­‐	
  $125	
  
	
  
	
  
	
  
Results:	
  70	
  of	
  100	
  Conversion	
  
Buyers	
   Test	
  2	
  -­‐	
  Revenue	
  per	
  Buyer	
   Total	
  
70	
   $125	
   $8,750	
  
TransacVon	
  Winner!	
  
Buyers	
   Test	
  2	
  -­‐	
  Revenue	
  per	
  Buyer	
   Total	
  
70	
   $125	
   $8,750	
  
Buyers	
   Modeled	
  12	
  Month	
  Rev	
  Per	
  Buyer	
   Total	
  Future	
  Value	
  
70	
   $150	
   $10,500	
  
22%	
  LiY!	
   Total	
  Rev	
  –	
  TransacVon	
  &	
  Future	
  Value:	
   $19,250	
  
Future	
  Value	
  Winner!	
  
Buyers	
   Test	
  1	
  -­‐	
  Revenue	
  per	
  Buyer	
   Total	
  
90	
   $125	
   $11,250	
  
Buyers	
   Modeled	
  12	
  Month	
  Rev	
  Per	
  Buyer	
   Total	
  Future	
  Value	
  
90	
   $50	
   $4,500	
  
Total	
  Rev	
  –	
  TransacVon	
  &	
  Future	
  Value:	
   $15,750	
  
All	
  figures	
  are	
  examples	
  and	
  not	
  real	
  
Closed-­‐Loop  Architecture  To  Make  It  All  Happen
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   10	
  
Technology	
  Team
Analysis	
  Team
ExecuVon	
  Team
Strategy	
  TeamCustomer	
  Porbolios	
  Plaborm	
  
Marke.ng	
  
Mobile	
  
DMP	
  
Social	
  
POS	
  /	
  Store	
  
eCommerce	
  
Conclusion  
Integration from all offline sources to engage and monetize customers online
•  Create a Smart Cookie to customize online personalization experience based on lifecycle marketing
•  Serve customers specific, targeted messages determined by modeling and segmentation
•  Coordinate with emails and catalog and offline communications to deliver an un-broken customer
experience
•  Enable proactive engagement vs. reactionary programs
•  Capture and analyze all results (on and offline) in order to measure lift in customer’s lifetime value
based on current and future modeled behavior
	
  
11/18/16	
   Customer	
  Por=olios	
  •	
  Confiden.al	
   11	
  
11/18/16	
   12	
  
Transforma.on	
  of	
  J&M’s	
  Offline	
  Data	
  into	
  Online	
  Treasure	
  
Thank	
  You!	
  

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Customer Portfolios - Ad:Tech SF Conference Presentation

  • 1. 11/18/16   1   Transforma.on  of  J&M’s  Offline  Data  into  Online  Treasure  
  • 2. 11/18/16   Customer  Por=olios  •  Confiden.al   2  2   TCM  is  a  comprehensive  data,  analy.cs,  and  closed-­‐loop  marke.ng  system   Increased  Life.me   Value   Omni-­‐channel   Automa.on   Messaging   Personaliza.on   Behavior  Based   Segmenta.on   Data   Aggrega.on   We  create  a  360°  view  of  your  customer  by  integra8ng  all  disparate  data  sources. We  then  execute  comprehensive  data  analysis  to  generate  ac8onable  insights  that  drive  increased  customer   engagement  and  incremental  transac8ons. Customer  PorBolios  =  Total  Customer  Mone8za8on  (TCM)
  • 3. Transforma8on  of  J&M’s  Offline  Data  into  Online  Treasure Johnston  &  Murphy:   •  150+  years  of  business  history   •  350+  stores  –  retail,  factory,  and  airport   •  Tens  of  Thousands  of  SKU’s   •  Millions  of  Customers   •  Tens  of  Millions  of  transac.ons!   11/18/16   Customer  Por=olios  •  Confiden.al   3   Customer  Por=olios     Marke.ng  Pla=orm  
  • 4. There  Are  Many  Best-­‐in-­‐Class  Solu8ons  on  the  Digital  Landscape The  Marke.ng  Technology   Landscape  growth:   •  947  Companies  in  ‘14   •  1,876  Companies  in  ‘15   …And  it  is  not  slowing  down!   11/18/16   Customer  Por=olios  •  Confiden.al   4  
  • 5. Solu8on  Islands  with  Natural  Synergies 1st  Party  Data  Can  Be  Leveraged     To  Make  Solu.ons  Smarter!   •  Data  Islands  Everywhere   •  Establish  Bi-­‐direc.onal  Feeds  For   •  Share  1st  party  customer  data  to  enable     more  effec.ve  solu.on  marke.ng   •  Return  solu.on  results  data  to     close  the  loop  and  report  lif   •  Create  single  point  of  customer   measurement  and  understanding   Use  Case:  J&M  Customer  Por=olios/ Monetate  integra.on  for  improved   personaliza.on         11/18/16   Customer  Por=olios  •  Confiden.al   5   CP     Customer  Profile   POS  /  Store   (  PII  )   eCom   (  PII  )   Customer   Service   (  PII  )   DMP   (  no  PII  )   RT   SEM   Social   (  PII  )   T   Y  G   Mobile   (  PII  )   APPs   PUSH   SMS   J&M     MARKETING   PLATFORM   Email   DM   J&M     MARKETING   PLATFORM  
  • 6. Customer  PorBolios-­‐Monetate  Integra8on 1.  Customer  Por=olios   customer  profile  is  shared   with  Monetate   2.  Profile  expands  Monetate   customer  detail  to  enable   more  relevant  targe.ng     3.  Customer  is  engaged  with   greater  relevance  of   message,  content  and  offer   4.  Data,  ac.on  and  results  are   returned  to  Customer   Por=olios  for  repor.ng   11/18/16   Customer  Por=olios  •  Confiden.al   6   Monetate   Customer   Cookie   CP   Customer     Profile   1   Channel   90  Days   All   Channels  /  Touchpoints   14  Years  /  All  Customer   Behavior  and  Transac.ons   Monetate   Customer   Cookie   Data  Returned,  Results  /  Lif  Measured   Share  Enhanced  Customer  Profile   Customer  Engaged     /  Greater  Relevance     Customer  Profile  Integra8on  to  Create  a  Smart  Cookie!  
  • 7. J&M  Customer  Profile  Alributes  Shared  with  Monetate   Round  1  –  star8ng  hypothesis     •  Gender  –  of  the  customer  visi.ng  the  J&M  web  site   •  Nth  Order  –  is  this  their  1st,  2nd,  3+  purchase   •  Best  Customer  Flag  -­‐  >$1K  spend  in  past  12  months   •  Woman  Product  Flag  –  have  they  ever  purchased  a  woman’s  product   •  Segment  –  8  product  category  segments,  e.g.  Classic,  Updated,  Cool,  Classic-­‐Cool,  Classic-­‐Updated,  etc.   Round  2  –  add,  based  on  learning  post  round  1   •  Dis.nct  Channel  –  single  –  store  OR  web;  mul.  –  store  AND  web   •  Store  Channel  Group  –  Retail,  Airport,  Factory,  Web,  Catalog  or  mul.-­‐mix  of  Channels   •  Product  Grouping  –  Footwear,  Outerwear,  Apparel,  or  mul.-­‐mix  of  Product   Round  3  –  next,  to  be  determined  once  liA  is  demonstrated   •  300  Alributes  –  a  mul.tude  of  customer  alributes  like  lag-­‐days,  next  best  offer,  etc.  to  be  leveraged   11/18/16   Customer  Por=olios  •  Confiden.al   7   A  Customer  ID  is  embedded   within  every  email  link  URL  to   enable  Monetate  to  capture,   then  match  to  a  customer   who  “clicks”  thru  to  the  web,   using  the  J&M  Smart  Cookie   CP  ID  Process  &  Customer  Profile  Sharing Customer  ID  Process  
  • 8. Connec8ng  Data  Sources  to  Drive  Increased  Ac8on  &  Value Monetate  launched  3  pilots     Goal  to  test  Smart  Cookie  lif  with   the  CP  Customer  Profile   Pilot  programs  targe.ng:   1. Gender  Based,  increased   engagement  on  homepage   2. Specific  Shoppers,  to  drive   cross-­‐category   3. Best  Customer,  increased   targe.ng  and  relevance   11/18/16   Customer  Por=olios  •  Confiden.al   8   J&M  /  Monetate  Gender  Based  Results   Women  –  replacing  homepage  slider;  liA  of  test  over  control   •  16.4%  Revenue  per  session   •  6.6%  Order  Value  per  session   •  23.3%  New  Visitor  Conversion  per  session   Men  –  replacing  homepage  slider;  liA  of  test  over  control   •  -­‐3.3%  Cart  Abandonment  per  session   •  6.4%  Conversion  Rate  per  session   •  4.9%  Revenue  per  session  
  • 9. Buyers   Test  1  -­‐  Revenue  per  Buyer   Total   90   $125   $11,250   Transac8on  vs  Future  Value  Success 11/18/16   Customer  Por=olios  •  Confiden.al   9   next  best  offer  test:   Shoe  Buying     Customer  Retarge.ng   Goal:  Revenue  Gen.   Test  1:  Same  Category  -­‐  $125         Results:  90  of  100  Conversion   Test  2:  Cross                    Category  -­‐  $125         Results:  70  of  100  Conversion   Buyers   Test  2  -­‐  Revenue  per  Buyer   Total   70   $125   $8,750   TransacVon  Winner!   Buyers   Test  2  -­‐  Revenue  per  Buyer   Total   70   $125   $8,750   Buyers   Modeled  12  Month  Rev  Per  Buyer   Total  Future  Value   70   $150   $10,500   22%  LiY!   Total  Rev  –  TransacVon  &  Future  Value:   $19,250   Future  Value  Winner!   Buyers   Test  1  -­‐  Revenue  per  Buyer   Total   90   $125   $11,250   Buyers   Modeled  12  Month  Rev  Per  Buyer   Total  Future  Value   90   $50   $4,500   Total  Rev  –  TransacVon  &  Future  Value:   $15,750   All  figures  are  examples  and  not  real  
  • 10. Closed-­‐Loop  Architecture  To  Make  It  All  Happen 11/18/16   Customer  Por=olios  •  Confiden.al   10   Technology  Team Analysis  Team ExecuVon  Team Strategy  TeamCustomer  Porbolios  Plaborm   Marke.ng   Mobile   DMP   Social   POS  /  Store   eCommerce  
  • 11. Conclusion   Integration from all offline sources to engage and monetize customers online •  Create a Smart Cookie to customize online personalization experience based on lifecycle marketing •  Serve customers specific, targeted messages determined by modeling and segmentation •  Coordinate with emails and catalog and offline communications to deliver an un-broken customer experience •  Enable proactive engagement vs. reactionary programs •  Capture and analyze all results (on and offline) in order to measure lift in customer’s lifetime value based on current and future modeled behavior   11/18/16   Customer  Por=olios  •  Confiden.al   11  
  • 12. 11/18/16   12   Transforma.on  of  J&M’s  Offline  Data  into  Online  Treasure   Thank  You!