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#RetailAnalytics




         Improving Business
          Performance With
          Customer Insights

Presented by                      Sponsored by




                                          #RetailAnalytics
Welcome Webinar Attendees




         Type	
  ques)on	
  here	
  



                                       #RetailAnalytics
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                         #RetailAnalytics
About Retail TouchPoints

ü  Launched in 2007
ü  Over 23,000 subscribers
ü  To provide executives with relevant,
  insightful content across a variety of
  digital medium



  Free subscription to our weekly newsletter:
  WWW.RETAILTOUCHPOINTS.COM/SIGNUP




                                                #RetailAnalytics
Panelists




  Eric Williams                                Anthony Volpe
Former Executive VP                       Retail Analytics Evangelist
      and CIO                                        SAS
 Catalina Marketing

                  MODERATOR

                              Debbie Hauss
                              Editor-in-Chief
                              Retail TouchPoints




                                                                        #RetailAnalytics
Improving Business Performance
        with Customer Insights

                                 atio   n
              For the “ Me” Gener




                                            Company Confidential 2012
                                                 Enw advisors
6
Who is Catalina Marketing




•    Founded in 1983
•    Headquartered in St. Petersburg, Florida
•    $500+ million annual revenue
•    Privately held (Hellman & Friedman)
•    Invented consumer-based Marketing in early 1980’s
      ~ 27,000 US Grocery & Mass Merchants
      ~ 10,000 International (France, Italy,
      Germany, Belgium, Netherlands, UK, Japan)
      ~ 17,000 Pharmacy (US)


                                                         Company Confidential 2012
                                                              Enw advisors
The World of Marketing has changed and
 the Data required to operate has changed


Mass Media continues     Personalized, Behavior-Specific
   to Diminish in        Targeting is Everywhere
     Relevance
              IN   GS
        Y SAV
  WE EKL
                                        Online               Wireless




                            Social Networking                      Voice Mail




                                                 Text
                              POS Print          Messaging        Real Time POS
                              Messaging                      Company Confidential 2012
                                                                  Enw advisors
The “Me” Generation has created
challenges for traditional advertising media




iPod           iPhone   My Television       Facebook            My Way




       Self Magazine     Personal Trainer        Personal Coffee
                                                             Company Confidential 2012
                                                                  Enw advisors
What Consumers Want in Marketing
Communication


   1.  Short and to the point
   2.  Choose to see when convenient for me
   3.  Personally communicated by trusted friends or experts
   4.  Information about price discounts or special deals
   5.  Customized to fit my specific needs and interests

                                Source: Yankelovich Partners Marketing Receptivity Study



 And… maintain my personal information securely
            and use it appropriately


                                                                       Company Confidential 2012
                                                                            Enw advisors
Customer Insights:
   Making Information Actionable

    Using Customer Insights to Move From
    Product Centric to Customer Centric Strategies




Product is king …              Customer is queen …
This is who buys it            This is what is important to her

                                                            Company Confidential 2012
                                                                 Enw advisors
Data and Technology

         •  Three key examples of how data can change
            Marketing organizations
                   –  Data Mining and Predictive Analytics
                               •  The use of HPC and In-database technology

                   –  Offer Optimization
                               •  The use of Marketing Automation

                   –  The Brave New World of Media Optimization




© 2012 Catalina Confidential                                                  Company Confidential 2012
                                                                                   Enw advisors
Predictive Modeling – Books / CDs / Movies


                                                  Brand Buyer                 Likely to Buy Brand
       What is Predictive Modeling?
    A sophisticated method to identify and
 communicate to consumers who have never
purchased your brand but are most likely to buy


             Predictive Modeling:
      1) Greatly enhances trial efficiency
      2) Excellent conversion rates after trial
                                                     Likely brand buyers exhibit similar grocery
      3) Increases “never buy” response rates        purchase behavior as current brand buyers,
                                                     only they have not yet purchased the brand




                                                                                   Company Confidential 2012
                                                                                        Enw advisors
13
Making Consumer information Actionable

     Data Mining – Predictive Analytics

  Data mining allows marketers
  to focus their investments against
  most likely new customers


“When consumers first try Coffee Mate or International Delight, they tend to
remain loyal to that product. If we could only predict which households
cream their coffee with milk we can attract them, but almost all households
buy milk.”
                 - Nestlé USA



                                                                  Company Confidential 2012
                                                                       Enw advisors
Data mining allowed Catalina to predict and
market to households lightening coffee with milk


•  Within Catalina’s household database
   –  Use Behavior Activated Research (BAR) to conduct attitudinal
      study of a group of milk and coffee households
   –  Identify those who lighten their coffee with milk

•  Identify similar households in Catalina’s database based
   on a predictive model
•  Apply impressions against identified groups
•  Measure changes in groups’ purchase behavior



                                                           Company Confidential 2012
                                                                Enw advisors
Marketing Solutions for Top Industry Initiatives
                                                                                                                 $7.83

                                                                                                $7.75


                                                                                                                  RECIPE
                                                                              $7.00                                 +
                                                                                             RECIPE             INCENTIVE
                                                                              CONTROL         ONLY

              Precision Marketing Solution                                             Average Dollar Sales
Launching     Find the people who care                   Advancing
              Tell them the day it’s in the store                    Precision Marketing Solution
   New                                                     Eat At    Find the people who have the ingredients
              First an ad, then an incentive
  Items                                                    Home      Give a cook-at-home-tonight recipe
              Result                                                        Recipe only or Recipe + Incentive
              Accelerated new item velocity
              Ongoing higher share                                   Result
                                                                     $0.13 investment yielded $0.75 in sales

                                                                        Category Growth                 Brand Growth
               Purchase
                Cycle
              Compressed                                                Volume Lift: Test vs Control
  Driving        50%
                                                         Building          64.3%                                    65.2%
  Usage                         72            35
                                                                                        61.8%

     &
                                                         Category                                      54.8%
                               Days         Days
Compliance                                                Volume
                                                                           16.7%        18.5%
             Precision Marketing Solution                                                              8.4%
                                                                                                                    13.3%

             Educate with a series of helpful messages
             Reinforce benefits of regular regimen                       Bath Tissue   Feminine       Frozen        Instant
                                                                                         Care         Waffles       Coffee

             Result
                                                                                                  Company Confidential 2012
             Consumers began to buy monthly, not bi-                                                   Enw advisors
16           monthly
Creating a Unique Campaign for
     Each Segment
                         $80
                         $70
                         $60                                        LOYALS
            AVG BASKET


                         $50
                                                      SPLITS
                         $40
                         $30             Occasionals
                         $20
                         $10
                          $-
                               -    1         2        3       4      5      6   7
                                                  Trips Per Month


                                                                  Splits                  Loyals
                               Occasional                        $99/Mo                  $285/Mo
                                 $38/Mo                          1.8 Trips               4.2 Trips
                                1.1 Trips                       31% Sales               60% Sales
                                9% Sales
        Segment                                                Create a Trip         Recapture Stock
        Strategy                        	

                               More Trips                        Mission 	

          Up Categories	


                                                                                            Company Confidential 2012
                                                                                                 Enw advisors
17
Tailor Your Communications



     Deliver customized incentives based on loyalty and category consumption



            Loyal Buyer of          Retain &
              Own Brand             Optimize



                                     Gain
           Occasional Buyer          Share



            Buys Competitor          Try Me
              Frequently             Again!



              Never Buys             Initial
              Own Brand               Trial




                                                                  Company Confidential 2012
                                                                       Enw advisors
18
Offer Optimization

       1                  2                    3               4                   5                   6                      7
Cereal $1 off $7                  1
                   Carrots $1 off 2 lb   Jam $1 off $3   Milk $0.50 off gal. OJ $1 off $7        Bakery $1 off $7    Cheese $2 off $7
Cereal $1 off $5   Carrots $2 off 3 lb   Jam $2 off $4   Milk $1 off $7      OJ $1 off $5        FREE Muffin         Cheese $1 off $7
Cereal $1 off $3                         Jam $1 off $5   Milk $1 off $5      OJ $1.50 off gal.                       Cheese $1 off $5
                   FREE Salad Bag        Jam $2 off $7   Milk $1 off $3                                              Cheese $1 off $3




                                                                      Customer must qualify for 3
                                                                          Offer Groups to get a
                                                                               distribution.
                                                                     If customer qualifies for more
                                                                    than 5, they should only get the
                                                                            5 highest priority




                                                                                                              Company Confidential 2012
                                                                                                                   Enw advisors
The New Consumer

 Personalization
 (opt in, my communication style, recognize me, mass is noise)




                                                                 Company Confidential 2012
                                                                      Enw advisors
Multi-Channel Shopper Platform

         DIGITAL	
  TOUCHPOINTS	
                                                                  Targeted	
  Offers	
  
(Mobile,	
  Kiosk,	
  Screen,	
  Apps,	
  Email,	
  NFC,	
                                  (Relevant.	
  Personalized.	
  Timely.)	
  
                         etc.)	
  

                                                               Intelligent	
  Shopper	
  
                                                                     Solu)on	
  


                                                                            PROCESS



                                                                            PERSONNEL



                                                                           TECHNOLOGY




                                                                                                               Company Confidential 2012
                                                                                                                    Enw advisors
Loyalty Marketing Continuum

Market Impact	

                       5    Integrated Customer Marketing

                                 4   One To One Marketing Programs
                               Relevant Offers / Promotions based on Customer
                               Purchase History


                           3   Customer Segmentation
                         Based on Spending/Frequency, Product Preferences



                    2   Building Card Usage
                   Regency/Frequency 80% + Sales on Card


           1   Customer Sign-up
          Laying Foundation of Loyalty Database


                                                                    Commitment	


                                                                        Company Confidential 2012
                                                                             Enw advisors
Data gets you in the game
           Information provides the advantage
                Knowledge changes everything


                                    Thank You!
     Eric Williams
     Executive VP & CIO - Retired
     Catalina Marketing Corp.
     ENWill@aol.com

                                                   Company Confidential 2012
                                                        Enw advisors
23
IMPROVING BUSINESS PERFORMANCE WITH
                                CUSTOMER INSIGHTS
                                                            A SOFT-LINES PERSPECTIVE




Copyright © 2012, SAS Institute Inc. All rights reserved.
•    Improved business performance requires insights
                                                 Customer                                                       to be incorporated into critical decision processes
                                              Insights Are                                                 •    The decisions to be impacted should drive the
                                                                                                                search for new insights
                                                Just That--
                                                                                                           •    Innovation is the key to continuous improvement
                                                  Insights                                                      with Customer Insights




C o p y r i g h t © 2 0 1 2 , S A S I n s©t u2012,ASAS t s r e s e r v e d .
                  Copyright t i t e I n c . l l r i g h Institute              Inc. All rights reserved.
Customer                 •    Merchandising and Supply Chain have the
                                Insights Can                     potential to be revolutionized
                                   Impact All               •    Progressive Omni-Channel initiatives will rely
                                  Aspects Of                     heavily on Customer Insights

                                       Retail               •    Marketing remains the most common application




Copyright © 2012, SAS Institute Inc. All rights reserved.
CUSTOMER
                                                            IMPROVING MERCHANDISING PERFORMANCE
                                     INSIGHTS




                Impact Localized
                   Assortments




Copyright © 2012, SAS Institute Inc. All rights reserved.
CUSTOMER
                                                            IMPROVING OMNI-CHANNEL PERFORMANCE
                                     INSIGHTS




                           Broaden
                    Assortments by
                     Properly Using
                          E-Comm




Copyright © 2012, SAS Institute Inc. All rights reserved.
CUSTOMER
                                                            IMPROVING DESIGN PERFORMANCE
                                     INSIGHTS




              Capture Behavior
              and Sentiment in
                       Design




Copyright © 2012, SAS Institute Inc. All rights reserved.
High
                                        Performance                                                        •    Behavioral data is truly Big Data
                                           Analytics                                                       •    Failing fast is critical
                                        Supercharge                                                        •    Innovations can incorporate a broader combination
                                           Customer                                                             of data elements than ever imagined
                                             Insights




C o p y r i g h t © 2 0 1 2 , S A S I n s©t u2012,ASAS t s r e s e r v e d .
                  Copyright t i t e I n c . l l r i g h Institute              Inc. All rights reserved.
Q&A // Submit Your Questions




          Type	
  ques)on	
  here	
  



                                        #RetailAnalytics
Q&A




  Eric Williams                 Anthony Volpe
Former Executive VP         Retail Analytics Evangelist
      and CIO                          SAS
 Catalina Marketing




                                                          #RetailAnalytics
Thank You For Attending This Webinar

        You can download this presentation at:

     http://rtou.ch/ciwebinar




                                                 #RetailAnalytics

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Improving Business Performance With Customer Insights

  • 1. #RetailAnalytics Improving Business Performance With Customer Insights Presented by Sponsored by #RetailAnalytics
  • 2. Welcome Webinar Attendees Type  ques)on  here   #RetailAnalytics
  • 3. Follow This Webinar On Twitter #RetailAnalytics #RetailAnalytics
  • 4. About Retail TouchPoints ü  Launched in 2007 ü  Over 23,000 subscribers ü  To provide executives with relevant, insightful content across a variety of digital medium Free subscription to our weekly newsletter: WWW.RETAILTOUCHPOINTS.COM/SIGNUP #RetailAnalytics
  • 5. Panelists Eric Williams Anthony Volpe Former Executive VP Retail Analytics Evangelist and CIO SAS Catalina Marketing MODERATOR Debbie Hauss Editor-in-Chief Retail TouchPoints #RetailAnalytics
  • 6. Improving Business Performance with Customer Insights atio n For the “ Me” Gener Company Confidential 2012 Enw advisors 6
  • 7. Who is Catalina Marketing •  Founded in 1983 •  Headquartered in St. Petersburg, Florida •  $500+ million annual revenue •  Privately held (Hellman & Friedman) •  Invented consumer-based Marketing in early 1980’s ~ 27,000 US Grocery & Mass Merchants ~ 10,000 International (France, Italy, Germany, Belgium, Netherlands, UK, Japan) ~ 17,000 Pharmacy (US) Company Confidential 2012 Enw advisors
  • 8. The World of Marketing has changed and the Data required to operate has changed Mass Media continues Personalized, Behavior-Specific to Diminish in Targeting is Everywhere Relevance IN GS Y SAV WE EKL Online Wireless Social Networking Voice Mail Text POS Print Messaging Real Time POS Messaging Company Confidential 2012 Enw advisors
  • 9. The “Me” Generation has created challenges for traditional advertising media iPod iPhone My Television Facebook My Way Self Magazine Personal Trainer Personal Coffee Company Confidential 2012 Enw advisors
  • 10. What Consumers Want in Marketing Communication 1.  Short and to the point 2.  Choose to see when convenient for me 3.  Personally communicated by trusted friends or experts 4.  Information about price discounts or special deals 5.  Customized to fit my specific needs and interests Source: Yankelovich Partners Marketing Receptivity Study And… maintain my personal information securely and use it appropriately Company Confidential 2012 Enw advisors
  • 11. Customer Insights: Making Information Actionable Using Customer Insights to Move From Product Centric to Customer Centric Strategies Product is king … Customer is queen … This is who buys it This is what is important to her Company Confidential 2012 Enw advisors
  • 12. Data and Technology •  Three key examples of how data can change Marketing organizations –  Data Mining and Predictive Analytics •  The use of HPC and In-database technology –  Offer Optimization •  The use of Marketing Automation –  The Brave New World of Media Optimization © 2012 Catalina Confidential Company Confidential 2012 Enw advisors
  • 13. Predictive Modeling – Books / CDs / Movies Brand Buyer Likely to Buy Brand What is Predictive Modeling? A sophisticated method to identify and communicate to consumers who have never purchased your brand but are most likely to buy Predictive Modeling: 1) Greatly enhances trial efficiency 2) Excellent conversion rates after trial Likely brand buyers exhibit similar grocery 3) Increases “never buy” response rates purchase behavior as current brand buyers, only they have not yet purchased the brand Company Confidential 2012 Enw advisors 13
  • 14. Making Consumer information Actionable Data Mining – Predictive Analytics Data mining allows marketers to focus their investments against most likely new customers “When consumers first try Coffee Mate or International Delight, they tend to remain loyal to that product. If we could only predict which households cream their coffee with milk we can attract them, but almost all households buy milk.” - Nestlé USA Company Confidential 2012 Enw advisors
  • 15. Data mining allowed Catalina to predict and market to households lightening coffee with milk •  Within Catalina’s household database –  Use Behavior Activated Research (BAR) to conduct attitudinal study of a group of milk and coffee households –  Identify those who lighten their coffee with milk •  Identify similar households in Catalina’s database based on a predictive model •  Apply impressions against identified groups •  Measure changes in groups’ purchase behavior Company Confidential 2012 Enw advisors
  • 16. Marketing Solutions for Top Industry Initiatives $7.83 $7.75 RECIPE $7.00 + RECIPE INCENTIVE CONTROL ONLY Precision Marketing Solution Average Dollar Sales Launching Find the people who care Advancing Tell them the day it’s in the store Precision Marketing Solution New Eat At Find the people who have the ingredients First an ad, then an incentive Items Home Give a cook-at-home-tonight recipe Result Recipe only or Recipe + Incentive Accelerated new item velocity Ongoing higher share Result $0.13 investment yielded $0.75 in sales Category Growth Brand Growth Purchase Cycle Compressed Volume Lift: Test vs Control Driving 50% Building 64.3% 65.2% Usage 72 35 61.8% & Category 54.8% Days Days Compliance Volume 16.7% 18.5% Precision Marketing Solution 8.4% 13.3% Educate with a series of helpful messages Reinforce benefits of regular regimen Bath Tissue Feminine Frozen Instant Care Waffles Coffee Result Company Confidential 2012 Consumers began to buy monthly, not bi- Enw advisors 16 monthly
  • 17. Creating a Unique Campaign for Each Segment $80 $70 $60 LOYALS AVG BASKET $50 SPLITS $40 $30 Occasionals $20 $10 $- - 1 2 3 4 5 6 7 Trips Per Month Splits Loyals Occasional $99/Mo $285/Mo $38/Mo 1.8 Trips 4.2 Trips 1.1 Trips 31% Sales 60% Sales 9% Sales Segment Create a Trip Recapture Stock Strategy More Trips Mission Up Categories Company Confidential 2012 Enw advisors 17
  • 18. Tailor Your Communications Deliver customized incentives based on loyalty and category consumption Loyal Buyer of Retain & Own Brand Optimize Gain Occasional Buyer Share Buys Competitor Try Me Frequently Again! Never Buys Initial Own Brand Trial Company Confidential 2012 Enw advisors 18
  • 19. Offer Optimization 1 2 3 4 5 6 7 Cereal $1 off $7 1 Carrots $1 off 2 lb Jam $1 off $3 Milk $0.50 off gal. OJ $1 off $7 Bakery $1 off $7 Cheese $2 off $7 Cereal $1 off $5 Carrots $2 off 3 lb Jam $2 off $4 Milk $1 off $7 OJ $1 off $5 FREE Muffin Cheese $1 off $7 Cereal $1 off $3 Jam $1 off $5 Milk $1 off $5 OJ $1.50 off gal. Cheese $1 off $5 FREE Salad Bag Jam $2 off $7 Milk $1 off $3 Cheese $1 off $3 Customer must qualify for 3 Offer Groups to get a distribution. If customer qualifies for more than 5, they should only get the 5 highest priority Company Confidential 2012 Enw advisors
  • 20. The New Consumer Personalization (opt in, my communication style, recognize me, mass is noise) Company Confidential 2012 Enw advisors
  • 21. Multi-Channel Shopper Platform DIGITAL  TOUCHPOINTS   Targeted  Offers   (Mobile,  Kiosk,  Screen,  Apps,  Email,  NFC,   (Relevant.  Personalized.  Timely.)   etc.)   Intelligent  Shopper   Solu)on   PROCESS PERSONNEL TECHNOLOGY Company Confidential 2012 Enw advisors
  • 22. Loyalty Marketing Continuum Market Impact 5 Integrated Customer Marketing 4 One To One Marketing Programs Relevant Offers / Promotions based on Customer Purchase History 3 Customer Segmentation Based on Spending/Frequency, Product Preferences 2 Building Card Usage Regency/Frequency 80% + Sales on Card 1 Customer Sign-up Laying Foundation of Loyalty Database Commitment Company Confidential 2012 Enw advisors
  • 23. Data gets you in the game Information provides the advantage Knowledge changes everything Thank You! Eric Williams Executive VP & CIO - Retired Catalina Marketing Corp. ENWill@aol.com Company Confidential 2012 Enw advisors 23
  • 24. IMPROVING BUSINESS PERFORMANCE WITH CUSTOMER INSIGHTS A SOFT-LINES PERSPECTIVE Copyright © 2012, SAS Institute Inc. All rights reserved.
  • 25. •  Improved business performance requires insights Customer to be incorporated into critical decision processes Insights Are •  The decisions to be impacted should drive the search for new insights Just That-- •  Innovation is the key to continuous improvement Insights with Customer Insights C o p y r i g h t © 2 0 1 2 , S A S I n s©t u2012,ASAS t s r e s e r v e d . Copyright t i t e I n c . l l r i g h Institute Inc. All rights reserved.
  • 26. Customer •  Merchandising and Supply Chain have the Insights Can potential to be revolutionized Impact All •  Progressive Omni-Channel initiatives will rely Aspects Of heavily on Customer Insights Retail •  Marketing remains the most common application Copyright © 2012, SAS Institute Inc. All rights reserved.
  • 27. CUSTOMER IMPROVING MERCHANDISING PERFORMANCE INSIGHTS Impact Localized Assortments Copyright © 2012, SAS Institute Inc. All rights reserved.
  • 28. CUSTOMER IMPROVING OMNI-CHANNEL PERFORMANCE INSIGHTS Broaden Assortments by Properly Using E-Comm Copyright © 2012, SAS Institute Inc. All rights reserved.
  • 29. CUSTOMER IMPROVING DESIGN PERFORMANCE INSIGHTS Capture Behavior and Sentiment in Design Copyright © 2012, SAS Institute Inc. All rights reserved.
  • 30. High Performance •  Behavioral data is truly Big Data Analytics •  Failing fast is critical Supercharge •  Innovations can incorporate a broader combination Customer of data elements than ever imagined Insights C o p y r i g h t © 2 0 1 2 , S A S I n s©t u2012,ASAS t s r e s e r v e d . Copyright t i t e I n c . l l r i g h Institute Inc. All rights reserved.
  • 31. Q&A // Submit Your Questions Type  ques)on  here   #RetailAnalytics
  • 32. Q&A Eric Williams Anthony Volpe Former Executive VP Retail Analytics Evangelist and CIO SAS Catalina Marketing #RetailAnalytics
  • 33. Thank You For Attending This Webinar You can download this presentation at: http://rtou.ch/ciwebinar #RetailAnalytics