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Customer Development
“Turning Shoppers into Buyers”




                                 1
Significant changes for shopper, category
              and customer




                                            2
                                            2
THE CHANGING MARKETPLACE

• Winning at Point of Buying (POB) is more important than ever

          Harder to reach and
                                      More demanding
          harder to influence
                                         Shoppers
             Consumers


        Customers needing a
                                  Competitors building their
       greater understanding of
                                      POB expertise
            shopper needs




     We must understand and lead if we are to win at POB


                                                                 3
THE SHOPPER-CENTRIC JOURNEY

• Insights into the Who, What, Why and How

        Who?                    What?                     Why?                      How?


   Who are my best                                 What influences their
                        What is their behavior                             What can I do differently
consumers and highest                                    behavior
   potential targets




    Brand loyalty                                   Needs/Motivations
                           Shopping Habits                                  Right Consumer, Right
   Retailer Loyalty                                      Attitudes         Message, Right Channel,
                         Visit Patterns (RFM)                                     Right Time
      Lifestyles                                      Marketing Mix
                             Share of                                      Right Mix of Acquisitions
   Price Sensitivity    Requirements (CPG)             Competition           & Retention Strategy

    Multi-cultural      Share of wallet (Retail)    Product/Category         Right Marketing Mix
                                                       Experience




                                                                                                       4
Vision / Mission / Strategy
            Provide objective Thought Leadership using insights
  Vision    and fact based solutions to become the partner of choice
            in each category where we participate


            Establish Partnership relationships by utilizing Customer
 Mission    Development “Best Practices” to accelerate current
            and future profitable volume

         Focus on Customer Developments Business Model to
Strategy leverage shopper insights and develop custom
         activation plans that build shopper loyalty and
         differentiate our customers in the marketplace



           Consumer           “Shopper”          Account

                                                                        5
CUSTOMER DEVELOPMENT MODEL

      WHERE TO ATTACK                ATTACK PLAN                              RESULTS



        INSIGHTS                  STRATEGY                            ACTIVATION

                                 Aligned          Action                            Post
    Assessment   Discovery                                            Execution
                                 Planning        Planning                          Analysis

•   Category trends          •   Beverage Builder                 •   Custom programs
•   Competitive assessment   •   2+ year strategic plan           •   Interactive 1:1
•   Customer/shopper         •   Category strategies              •   Sponsorships
•   Brand alignment          •   Customized beverage              •   Innovation
•   ALICE “Connect”              strategy                         •   Custom scorecards
•   Shopper-based research                                        •   Promo tracking
                                                                  •   Brand tracking


                                 CUSTOMER-CENTRIC
                              Current volume initiatives (1 yr)
                             Future volume initiatives (2+ yrs)
                             Developing stronger relationships
                                                                                              6
WHY ARE WE DOING IT?

• Grow the base over time with future volume initiatives

   Account Specific   • Drive volume during current year
   Programs           • Enhance feature ad calendar

                      • Drive volume over 2+ year period
   Base Volume
   Initiatives        • Focus on changing shopper behavior and grow the
                        base over time




         Q1              Q2                Q3              Q4




                                                                          7
• Grow the base over time
WHY ARE WE DOING
IT?                          with future volume
                             initiatives
   Account Specific   • Drive volume during current year
   Programs           • Enhance feature ad calendar

                      • Drive volume over 2+ year period
   Base Volume
   Initiatives        • Focus on changing shopper behavior and grow the
                        base over time




         Q1              Q2                Q3              Q4




                                                                          8
Co Marketing – CPG Partners

Methodology:
                                               Shopper Universe
•   Identify shopper groups
                                                       Potential
                                                      Co-Marketing
•   Analyze shopper basket transactions                  Brand
                                                       Shoppers
         • Index shopper measures:
           Penetration, units, visits

                                                        Best
•   Rank against percentage of common                  Potential
    visits                                              Match

                                           Retailer
                                            Loyal                    Dr Pepper
•   Recommended cross categories          Shoppers                     Brand
                                                                     Shoppers

•   Activate to meet shopper needs




                                                                                 9
Marketing and Sales
             DPS Areas of Expertise
                                      Channel



 Brand




Consumer                                        Retailer




                                                           10
Bringing Marketing and Sales Closer Together
                                                      Today’s Discussion Focus



  Brand                                                                Channel




                             Aligning these two
                            segmentations where
 Consumer                                                              Retailer
                            possible is the key to
                           growth and efficiencies.


                                  Shopper

             Consumer
            Segmentation                                  Shopper
                                                        Segmentation

                                                                                  11
The Shared Commercial Objective is
  PROFITABLE VOLUME!

    Marketing Levers: Consumer / Shopper
           PENE-                            PURCHAS
VOLUM                         FREQUENC
          TRATIO                             E SIZE
E                                 Y
             N


          Sales Levers for Growth
                                   INCREMENTAL
VOLUM     BASE VOLUME
                                      VOLUME
E
                 Space                  Feature Ads
              Distribution               Displays
                                      Promoted Price
             Everyday Price
                                      Account Specific
                                     Shopper Programs

                                                         12
How do we CHANGE Shopping Behavior?




          Levers Sales will pull to impact objective
                            VOLUME


                     Base             Incremental
                    Space &           Continuity, 1:1
TACTICS
                 Merchandising,      Valued Shopper,
                Everyday Pricing         Features

                      Sales          Customer Development
RESPONSIBLE    Category Management
                                       National Accounts
                                      Field Sales / Bottler
                      Bottler        Category Management


                                                              13
THE DPS & SuperValu PARTNERSHIP

• Putting the shopper at the strategic center




                                                14
SO HOW DOES THIS WORK?

  EXAMPLES & RESULTS




                         15
SuperValu Customer
   Segmentation




                     16
IDENTIFYING YOUR MOST VALUABLE
       SHOPPER               Dr Pepper

                                                         Dt Dr Pepper

                                                          Diet 7 UP




                                   CSD Category
                   Segment 1
                                                          Diet A&W

                                                         Diet Sunkist
                 Up-and-comers
                                                          Dt Can Dry

                   Segment 2                             Canada Dry      What categories
Who are your
                                                                         & brands align
most valuable                                                7 UP
                                                                            with your
 shoppers?         Segment 3
                                                           Sunkist         shoppers?

                                                           Sundrop
                Dinks w/ Dollars

                                   Tea, Juice, Mixers
                                                          Haw Punch
                Young and Rustic                           Yoo Hoo

                                                           Snapple
                   Segment 7
                                                          Motts Juice

                                                        Motts SS Sauce
                   Segment 8
                                                        Rose Infusions

                                                         Mr & Mrs T’s                      17
DPS/ACCOUNT ALIGNMENT

Account index by propensity to consume DPS brands by segment
                      Segment 1 Segment 2   Segment 3   Segment 4 Segment 5 Segment 6 Segment 7 Segment 8
    Dr Pepper            76        115         125         92        109       130       113       154
  Diet Dr Pepper         79        117         159         131       129        82       106        85
     Diet 7 Up           132       61          71          137        82        78        99        72
     Diet A&W            87        96          85          114       108        41       102        90
   Diet Sunkist          91        124         62          84         77        32        86        73
 Diet Canada Dry         81        73          59          109       106        40       103        36
   Canada Dry            84        95          88          104       104        73        70        78
       7 Up              73        82          111         96         82       101        89        78
      Sunkist            75        116         96          113        76       109        78       113
     Sundrop             48        115         145         66        108       115       135       168
 Hawaiian Punch          73        112         125         75         75       139       101       131
     Yoo-hoo             64        131         155         79         97       157       119       199
     Snapple             57        68          92          117       100        68        72        69
   Mott's Juice          83        80          143         103        80       111       103        71
Mott's Single Serve      99        115         116         130        94       111        93        70
      Rose's             53        100         107         105       126        78        96       125
   Mr & Mrs T's          88        17          60          134       136       125       100        78




                                                                                                            18
The Palmers / Premium Explorers
       Dinner Routine: Exciting and different.
       Shopping Style: Want an experience but often need to get in and out quickly.
       Food Attitude: Food is interesting.


       They view food and dining as an experience rather than a necessity. They expect and can afford fresh and
       high quality foods. They are interested in healthier options, but love the occasional indulgence. They
       value food and eating well, but do not always have time to prepare the types of meals they enjoy. When
       grocery shopping they are looking for helpful employees who inspire them with new ideas.
                                                                                                                  ESTIMATE
                                                                                                                  20-25%




         “I believe every encounter with food should be an experience. The best meals start with
         fresh, high quality and healthy ingredients whether I’m making it or someone else is. I enjoy
         the grocery shopping experience and look to sales associates for information and ideas.”




                                                           19
                                                                                                                             19
20
The Thompson's / Time-Starved Families
             Dinner Routine: Fast and family friendly.
             Shopping Style: One-stop shopping and grab ‘n go options.
             Food Attitude: Food is a way to nurture my family.


      They believe that time is money. Managing their busy family leaves them time-starved, which results in a
      reliance on meal solutions and take-out. It’s more important to them that they invest time into their
      family than into meal prep. Their expectation is that shopping should be easy and they seek out retailers
      that help them make the most of every trip. Even though they have the means to pay for increased            ESTIMATE
      convenience, they still appreciate a good value and don’t want to trade-off quality for convenience.        20-25%




      “We don’t have a lot of time to cook or shop but I believe bringing the family together for a meal is part of
      being a good mom. I want meal solutions and easy one-stop shopping that help me make the most of my
      time.”




                                                            21
                                                                                                                             21
22
The Vincent's / Value-Driven Households

       Dinner Routine: Traditional home-cooking with limited repertoire.
       Shopping Style: Willing to shop around to get the best deal.
       Food Attitude: Food is a necessity.


      Their strong value orientation drives their shopping behavior. They need to manage their budget, but have a
      more holistic view of value because they believe that a good value means more than just a good price. They
      want quality basics and may on occasion indulge beyond that, but won’t pay a premium for either.
                                                                                                              ESTIMATE
                                                                                                              50-60%




                “We need to watch our food spend, but I want to get the best I can at the best value.
                It’s not just about finding a good price.”




23                                                         23
                                                                                                                         23
24
25
DPS Alignment Methodology
•   All 66 PRIZM segments were evaluated by the following variables to
    determine which SUPERVALU segments most closely aligned
     – Age
     – Household Income
     – Presence of Children
     – Urbanicity
•   PRIZM segments were then aligned with beverages to determine the
    correct beverage mix by segment
•   Using above information, we then looked at media consumption,
    leisure activities, and psychographics to begin to develop
    promotional ideas that will resonate with targeted SUPERVALU
    segments or clusters




                                                                         26
66 Cluster Snapshot
              • Wealthiest segment “Upper Crust” (PRIZM rank #1) accounts for 1.7MM U.S. HH 1
              • 1.5% of all U.S. homes are classified as “Upper Crust”
                                PRIZM NE Segment                                U.S. Households                                  PRIZM NE Segment                                     U.S. Households
                                                                                                                                                                               Claritas 2005
     Code           Nickname PRIZM NE Segment
                                            Demographic Description               U.S. Households
                                                                          Claritas 2005 HHs %Comp         Code            Nickname PRIZM NE Segment
                                                                                                                                               Demographic Description              HHs U.S. Households
                                                                                                                                                                                 Claritas 2005    %Comp
       Code           Nickname         WealthyDemographic Description       Claritas 2005 HHs %Comp        Code             Nickname     MidscaleDemographic Description              HHs           %Comp
      01 Upper Crust                           Older w/o Kids                       1,690,937    1.52      34     White Picket Fences             Middle Age w/ Kids                 1,367,601          1.23
        01   Upper Crust                 Wealthy Older w/o Kids                       1,690,937    1.52      34     White Picket Fences    Midscale Middle Age w/ Kids                 1,367,601          1.23
      02 Blue Blood Estates            Wealthy Middle Age w/ Kids                   1,059,462    0.95      35     Boomtown Singles       Downscale Younger w/o Kids                  1,347,018          1.21
        02 Blue Blood Estates            Wealthy Middle Age w/ Kids                   1,059,462    0.95      35     Boomtown Singles       Downscale Younger w/o Kids                  1,347,018          1.21
      03 Movers & Shakers              Wealthy Middle Age w/o Kids                  1,806,132    1.63      36     Blue-Chip Blues        LowerMid Younger w/ Kids                    1,354,490          1.22
        03 Movers & Shakers              Wealthy Middle Age w/o Kids                  1,806,132    1.63      36     Blue-Chip Blues        LowerMid Younger w/ Kids                    1,354,490          1.22
      04 Young Digerati                Upscale Younger Mix                          1,374,520    1.24      37     Mayberry-ville         Midscale Middle Age w/o Kids                2,549,084          2.30
             Young Digerati
        04 Country Squires               Upscale Younger Mix                          1,374,520    1.24      37     Mayberry-ville         Midscale Middle Age w/o Kids                2,549,084          2.30
      05                               Upscale Middle Age w/ Kids                   2,050,786    1.85      38     Simple Pleasures       LowerMid Mature Mix                         2,802,944          2.53
             Country Squires
        05 Winner's Circle               Upscale Middle Age w/ Kids                   2,050,786    1.85      38     Simple Pleasures       LowerMid Mature Mix                         2,802,944          2.53
      06                               Wealthy Middle Age w/ Kids                   1,134,965    1.02      39     Domestic Duos          LowerMid Older Mix                          1,188,359          1.07
        06 Winner's Circle               Wealthy Middle Age w/ Kids                   1,134,965    1.02      39     Domestic Duos          LowerMid Older Mix                          1,188,359          1.07
      07 Money & Brains                Upscale Older Mix                            2,265,564    2.04      40     Close-In Couples       Downscale Older Mix                         1,295,133          1.17
             Money & Brains
        07 Executive Suites              Upscale Older Mix                            2,265,564    2.04      40     Close-In Couples       Downscale Older Mix                         1,295,133          1.17
      08                               Midscale Middle Age w/o Kids                 1,208,293    1.09      41     Sunset City Blues      Downscale Older Mix                         1,892,142          1.70
             Executive Suites
        08 Big Fish, Small Pond          Midscale Middle Age w/o Kids                 1,208,293    1.09      41     Sunset City Blues      Downscale Older Mix                         1,892,142          1.70
      09                               Upscale Older w/o Kids                       2,451,435    2.21      42     Red, White & Blues     LowerMid Middle Age w/o Kids                1,019,727          0.92
        09 Big Fish, Small Pond          Upscale Older w/o Kids                       2,451,435    2.21      42     Red, White & Blues     LowerMid Middle Age w/o Kids                1,019,727          0.92
      10 Second City Elite             UpperMid Older w/o Kids                      1,313,684    1.18      43     Heartlanders           LowerMid Older Mix                          2,208,891          1.99
        10 God's Country Elite
             Second City                 UpperMid Older w/o Kids
                                       UpperMid Middle Age w/o Kids                   1,313,684    1.18      43     Heartlanders
                                                                                                                  New Beginnings
                                                                                                                                           LowerMid Older Mix
                                                                                                                                         Downscale Younger Mix                         2,208,891          1.99
      11                                                                            1,813,435    1.63      44                                                                        1,697,047          1.53
             God's Country
        11 Brite Lites, Li'l City        UpperMid Middle Age w/o Kids                 1,813,435    1.63      44     New Beginnings         Downscale Younger Mix                       1,697,047          1.53
      12                               UpperMid Middle Age w/o Kids                 1,658,799    1.49      45     Blue Highways          LowerMid Middle Age w/o Kids                1,316,921          1.19
        12 Brite Lites, Li'l City        UpperMid Middle Age w/o Kids                 1,658,799    1.49      45     Blue Highways          LowerMid Middle Age w/o Kids                1,316,921          1.19
      13 Upward Bound                  UpperMid Middle Age w/ Kids                  1,689,622    1.52      46     Old Glories            Downscale Mature mostly w/o Kids            1,092,340          0.98
             Upward Bound
        13 New Empty Nests               UpperMid Middle Age w/ Kids                  1,689,622    1.52      46     Old Glories            Downscale Mature mostly w/o Kids            1,092,340          0.98
      14                               Midscale Mature w/o Kids                     1,171,877    1.06      47     City Startups          Downscale Younger w/o Kids                  1,605,824          1.45
        14 New Empty Nests               Midscale Mature w/o Kids                     1,171,877    1.06      47     City Startups          Downscale Younger w/o Kids                  1,605,824          1.45
      15 Pools & Patios                Midscale Older w/o Kids                      1,372,404    1.24      48     Young & Rustic         Downscale Younger w/o Kids                  3,393,228          3.06
        15 Pools & Patios                Midscale Older w/o Kids                      1,372,404    1.24      48     Young & Rustic         Downscale Younger w/o Kids                  3,393,228          3.06
      16 Bohemian Mix                  Midscale Younger Mix                         2,018,548    1.82      49     American Classics      Downscale Mature mostly w/o Kids            1,137,884          1.03
             Bohemian Mix
        16 Beltway Boomers               Midscale Younger Mix                         2,018,548    1.82      49     American Classics      Downscale Mature mostly w/o Kids            1,137,884          1.03
      17                               UpperMid Middle Age w/ Kids                  1,031,647    0.93      50     Kid Country, USA       LowerMid Younger w/ Kids                    1,424,706          1.28
        17 Beltway Boomers               UpperMid Middle Age w/ Kids                  1,031,647    0.93      50     Kid Country, USA       LowerMid Younger w/ Kids                    1,424,706          1.28
      18 Kids & Cul-de-sacs            UpperMid Middle Age w/ Kids                  1,687,777    1.52      51     Shotguns & Pickups     LowerMid Middle Age w/ Kids                 1,761,715          1.59
        18 Kids & Cul-de-sacs            UpperMid Middle Age w/ Kids                  1,687,777    1.52      51     Shotguns & Pickups     LowerMid Middle Age w/ Kids                 1,761,715          1.59
      19 Home Sweet Home               Midscale Middle Age w/o Kids                 1,980,255    1.78      52     Suburban Pioneers      Downscale Middle Age Mix                    1,161,514          1.05
             Home Sweet Home
        19 Fast-Track Families           Midscale Middle Age w/o Kids                 1,980,255    1.78      52     Suburban Pioneers      Downscale Middle Age Mix                    1,161,514          1.05
      20                               UpperMid Middle Age w/ Kids                  1,631,409    1.47      53     Mobility Blues         Low-Income Younger w/o Kids                 1,169,434          1.05
        20 Fast-Track Families           UpperMid Middle Age w/ Kids                  1,631,409    1.47      53     Mobility Blues         Low-Income Younger w/o Kids                 1,169,434          1.05
      21 Gray Power                    LowerMid Older mostly w/o Kids               1,174,575    1.06      54     Multi-Culti Mosaic     LowerMid Middle Age Mix                     1,907,241          1.72
        21 Gray Power                    LowerMid Older mostly w/o Kids               1,174,575    1.06      54     Multi-Culti Mosaic     LowerMid Middle Age Mix                     1,907,241          1.72
      22 Young Influentials            Midscale Younger w/o Kids                    1,632,610    1.47      55     Golden Ponds           Downscale Mature mostly w/o Kids            1,945,151          1.75
             Young Influentials
        22 Greenbelt Sports              Midscale Younger w/o Kids                    1,632,610    1.47      55     Golden Ponds           Downscale Mature mostly w/o Kids            1,945,151          1.75
      23                               Midscale Middle Age w/o Kids                 1,885,142    1.70      56     Crossroads Villagers   Downscale Younger w/o Kids                  1,960,469          1.77
        23 Greenbelt Sports              Midscale Middle Age w/o Kids                 1,885,142    1.70      56     Crossroads Villagers   Downscale Younger w/o Kids                  1,960,469          1.77
      24 Up-and-Comers                 LowerMid Younger w/o Kids                    1,357,887    1.22      57     Old Milltowns          Downscale Older Mix                         1,590,835          1.43
        24 Up-and-Comers                 LowerMid Younger w/o Kids                    1,357,887    1.22      57     Old Milltowns          Downscale Older Mix                         1,590,835          1.43
      25 Country Casuals               UpperMid Middle Age w/o Kids                 1,556,190    1.40      58     Back Country Folks     Downscale Older Mix                         2,626,222          2.37
             Country Casuals
        25 The Cosmopolitans             UpperMid Middle Age w/o Kids                 1,556,190    1.40      58     Back Country Folks     Downscale Older Mix                         2,626,222          2.37
      26                               Midscale Older Mix                           1,322,764    1.19      59     Urban Elders           Downscale Older Mix                         1,495,328          1.35
        26 The Cosmopolitans             Midscale Older Mix                           1,322,764    1.19      59     Urban Elders           Downscale Older Mix                         1,495,328          1.35
      27 Middleburg Managers           Midscale Older w/o Kids                      2,069,213    1.86      60     Park Bench Seniors     Downscale Older mostly w/o Kids             1,215,994          1.10
        27 Middleburg Managers Midscale Older w/o Kids
                                         Midscale Older w/o Kids                      2,069,213    1.86      60     Park Bench Seniors     Downscale Older mostly w/o Kids             1,215,994          1.10
      28 Traditional Times                                                          3,015,905    2.72      61     City Roots             Downscale Mature Mix                        1,321,286          1.19
             Traditional Times
        28 American Dreams               Midscale Older w/o Kids                      3,015,905    2.72      61     City Roots             Downscale Mature Mix                        1,321,286          1.19
      29                               Midscale Middle Age Mix                      2,434,986    2.19      62     Hometown Retired       Low-Income Mature mostly w/o Kids           1,262,715          1.14
        29 American Dreams               Midscale Middle Age Mix                      2,434,986    2.19      62     Hometown Retired       Low-Income Mature mostly w/o Kids           1,262,715          1.14
      30 Suburban Sprawl               LowerMid Middle Age w/o Kids                 1,467,153    1.32      63     Family Thrifts         Downscale Younger w/ Kids                   1,868,599          1.68
        30 Suburban Sprawl               LowerMid Middle Age w/o Kids                 1,467,153    1.32      63     Family Thrifts         Downscale Younger w/ Kids                   1,868,599          1.68
      31 Urban Achievers               LowerMid Middle Age Mix                      1,852,355    1.67      64     Bedrock America        Downscale Younger w/ Kids                   2,111,567          1.90
             Urban Achievers
        31 New Homesteaders              LowerMid Middle Age Mix                      1,852,355    1.67      64     Bedrock America        Downscale Younger w/ Kids                   2,111,567          1.90
      32                               Midscale Middle Age w/ Kids                  2,131,717    1.92      65     Big City Blues         Downscale Younger Mix                       1,318,897          1.19
        32 New Homesteaders              Midscale Middle Age w/ Kids                  2,131,717    1.92      65     Big City Blues         Downscale Younger Mix                       1,318,897          1.19
      33 Big Sky Families              Midscale Middle Age w/ Kids                  1,853,806    1.67      66     Low-Rise Living        Low-Income Younger Mix                      1,430,578          1.29
        33 Big Sky Families              Midscale Middle Age w/ Kids                  1,853,806    1.67      66     Low-Rise Living        Low-Income Younger Mix                      1,430,578
                                                                                                                                                                                  111,006,738
                                                                                                                                                                                                          1.29
                                                                                                                                                                                                      100.00
                                                                                                                                                                                     111,006,738        100.00




Source: PRIZM                                                                                                                                                                                                    27
Segment Alignment with Percentages
 Ben                    Susan                          Ursula                 Betty                Elliot
 19.5% of SUPERVALU     17.5 % of SUPERVALU            9.2% of SUPERVALU      9.7% of SUPERVALU    17.5% of SUPERVALU
 19.3 % of Households   18.2% of Households            7.2% of Households     9.2% of Households   18.2% of Households
 Boomtown Singles       Beltway Boomers                Blue Blood Estates     New Beginnings       Pools & Patios
 Close-In Couples       Kids & Cul-de-sacs             Country Squires        Blue-Chip Blues      Home Sweet Home
 Sunset City Blues      Fast-Track Families            Winner's Circle        Multi-Culti Mosaic   Gray Power
 Heartlanders           The Cosmopolitans              Upward Bound           Family Thrifts       Middleburg Managers
 Old Glories            American Dreams                                       Bedrock America      Traditional Times
 City Startups          Urban Achievers                                       Big City Blues       Suburban Sprawl
 Young & Rustic         New Homesteaders                                      Low-Rise Living      Blue Highways
 American Classics      Big Sky Families                                                           Mayberry-ville
 Suburban Pioneers      White Picket Fences                                                        Simple Pleasures
 Mobility Blues         Domestic Duos                                                              Red, White & Blues
 Golden Ponds           Kid Country, USA
 Crossroads Villagers   Shotguns & Pickups
 Old Milltowns
 Back Country Folks
 Urban Elders
 Park Bench Seniors
 City Roots
 Hometown Retired

 Gary                   Tamara                         Elaine
 8.1% of SUPERVALU      9.3% of SUPERVALU              9.3% of SUPERVALU
 9.4% of Households     8.6% of Households             9.2% of Households
 Young Digerati         Movers & Shakers               Upper Crust
 New Empty Nests        Executive Suites               Money & Brains
 Bohemian Mix           God's Country                  Big Fish, Small Pond
 Greenbelt Sports       Brite Lites, Li'l City         Second City Elite
 Up-and-Comers          Country Casuals




                                   Source: MRI Doublebase 2008, PRIZM NE
                                                                                                                         28
Like the SUPERVALU Study, DPS
      segments exhibit the same demographic
      profile

Qualifier                          Ben         Betty        Elaine        Elliot     Gary      Susan   Tamara   Ursula
Median Household Income-HHI       $25,624      $28,237      $83,708       $50,704    $61,333   $61,327 $89,785 $114,194
Median Respondent Age                  54           36            59            52        40        42      44       44
Median # of People in Household         2            3             2             2         2         3       2         4
Presence of Children Index             64          141            42            71        92       150      98      199




      To align the PRIZM segmentation model with SUPERVALU’s proprietary
      segmentation model, the variables above were used as a validator to ensure
      that SUPERVALU’s objectives were met.




                                  Source: MRI Doublebase 2008, PRIZM NE
                                                                                                                       29
Beverage preferences vary by segment
                               Ben         Betty          Elaine            Elliot    Gary     Susan   Tamara    Ursula
Dr Pepper                         103          123              59               92       95       111      91         96
A & W Root Beer                   101            93             78              103       96       109      99       106
7 Up                              102          125              77               93       97        96      97       103
Sunkist                           108          158              52               90       93       101      65         84
Canada Dry Ginger Ale              90          103             109               95      110       100     113       114
Diet Dr Pepper                     90            78             98              100      104       110     137       117
Diet A & W Root Beer               86            80            115              120      113        88     114       124
Diet 7 Up                         102            73            116              109       90        92     126       100
Diet Sunkist Orange                85          117             112              103       94       100      98       107
Canada Dry Diet Ginger Ale         93            91            130              100      104        95     128         98
Motts Sauce                        82            84            128               99      104       109     104       151
Motts Juice                        79            87            102               90      124       120      99       163
Hawaiian Punch                    112          180              51               81       77        94      75         87
Snapple                            78          118             110               82      121       108     123       127


                 • Families with lower income levels are most likely to purchase full
                   flavored CSDs.
                 • Elaine, Tamara, and Ursula prefer diet beverages and have a high
                   propensity to purchase Snapple as well as the healthier beverage
                   offerings.
                 • Segments containing children are likely to purchase Motts Sauce.

                        110+    109-100       99 below
                                    Source: MRI Doublebase 2008, PRIZM NE
                                                                                                                       30
Beverage preferences are evident even at the Cluster level.


                            The Vincents The Thompsons The Palmers
 A & W Root Beer                     100            108          91
 Canada Dry Ginger Ale                 94           103         111
 Dr Pepper                           104            108          82
 7 Up                                104             98          90
 Sunkist                             113             97          70
 Diet A & W Root Beer                  96            97         114
 Canada Dry Diet Ginger Ale            95            95         121
 Diet Dr Pepper                        91           112         112
 Diet 7 Up                             98            94         111
 Diet Sunkist Orange                   97           102         102
 Hawaiian Punch                      116             92          67
 Snapple                               87           113         118
 Motts Fruit                           87           119         112
 Motts Juice                           84           130         108

                             110+           109-100         99 below



                    Source: MRI Doublebase 2008, PRIZM NE
                                                                       31
Many of Susan’s leisure activities revolve around
spending time with their family and friends
                         Fly kites                                                                                 126
                    Board games                                                                                    126
                     Trivia games                                                                              125
                  Zoo attendance                                                                         124
                    Video games                                                                        123
        Electronic games (not TV)                                                                      123
   Attend rock music performances                                                                121
                     Barbecueing                                                     118
            Fantasy sports league                                                  117
               Attend auto shows                                                   117
       Photo Album/ Scrapbooking                                               116
             PC/Computer games                                               115
                     Go to beach                                             115
                           Picnic                                     114
                         Karaoke                                  113

                                 105                110                 115                120               125         130




                                     Source: MRI Doublebase 2008, PRIZM NE
                                                                                                                               32
Susan’s purchase decisions are heavily
influenced by her children and spouse.
My children have a significant impact on the brands I choose                                                                        107

 My spouse has a significant impact on the brands I choose                                                        102

 My grocery store offers low prices on all products every day                                             100

 It's imp. salespeople be knowledgeable about prod. theysell                                         99

     I know the price of the foods and packaged goods I buy                                          99

               Buying American products is important to me                                      98

                        When I find a brand I like, I stick to it                          97

             I like to shop around before making a purchase                                97

         I will gladly switch brands to use a cents-off coupon                        96

                           I'm a spender rather than a saver                          96

                                                                    90   92     94   96     98       100        102     104   106   108




                                        Source: MRI Doublebase 2008, PRIZM NE
                                                                                                                                          33
With Susan’s busy lifestyle, she uses
  technology to simplify her couponing
           Internet or E-mail                                                                                     130

Instant coupon machine/Shelf
                                                                                                            123
                    coupons

           In or on packages                                                                          118


          Coupons at register                                                                       114


                         Mail                                                                       114


Handed out by person in store                                                                  112


   Sunday newspaper inserts                                                                    111


                    Magazine                                                                  109


  Weekday newspaper inserts                                                             102


                                0     20               40               60   80   100                120                140




                                    Source: MRI Doublebase 2008, PRIZM NE
                                                                                                                              34
Susan
Media Snapshot
 Websites:                               Magazines:
 Visit a variety of shopping             Read a variety of children and
 website - Ebay,                         family focused magazines
 Overstock.com, Shopping.com             Family Fun                                                                                  QuickTime™ and a
                                                                                                                           TIFF (Uncompressed) decompressor
 Also visit entertainment sites -        Parents                                                                              are needed to see this picture.



 NASCAR, Disney, IMDB and                Prevention Family
 iVillage                                                                     QuickTime™ and a
                                                                    TIFF (Uncompressed) decompressor
                                                                       are needed to see this picture.




  Online Activities:                   TV:
  Childcare or parenting               Watch reality TV like                                                                                            QuickTime™ and a
                                                                                                                                              TIFF (Uncompressed) decompressor
                                                                                                                                                 are needed to see this picture.



  research (135)                       American Idol, Biggest Loser
  Car purchase research                and Extreme Home Makeover
  (123)
  Paid bills online (123)                                                                                          QuickTime™ and a
                                                                                                         TIFF (Uncompres sed) decompress or
                                                                                                            are needed to see this picture.




                            Source: MRI Doublebase 2008, PRIZM NE
                                                                                                                                                                                   35
Susan households also purchase a variety
of kid dominated products.
                                                                            PRODUCT           INDEX
                                                               Jif                             111
                                                                                                                                                         QuickTime™ and a
            QuickTime™ and a
  TIFF (Uncompressed) decompressor                             Rold Gold                       115                                             TIFF (Uncompressed) decompressor
     are needed to see this picture.                                                                                                              are needed to see this picture.
                                                               Baked! Lays                     116
                                                               Skittles                        117
                                                               Chex Mix                        118
                                                               Nabisco Chips Ahoy!             119
                                                               Slim Jim                        122
                                                               Nabisco Oreo                    127
                                                               Store's Own Brand               133
                                                               Lunchables (Oscar Mayer)        136
                                                               Lunchables Pizza (Oscar Mayer)  141
                                                                                                                                                 QuickTime™ and a
                                                                                                                                       TIFF (Uncompressed) decompressor
                                                                                                                                          are needed to see this picture.


                     Quic kTime™ and a
            TIFF (Uncompressed) dec ompressor
                                                               Lunchables Maxed Out            122
              are needed to see this picture.




                                                                                        QuickTime™ and a
                                                                                                                             QuickTime™ and a
                                                                              TIFF (Uncompressed) decompressor     TIFF (Uncompressed) decompressor
                                                                                 are needed to see this picture.      are needed to see this picture.
                                                 QuickTime™ and a
                                       TIFF (Uncompressed) decompressor
                                          are needed to see this picture.




                                                            Source: MRI Doublebase 2008, PRIZM NE
                                                                                                                                                                                    36
Thought Starters for reaching Susan
 • Leverage Dr Pepper Snapple database and SuperValu’s
   to reach potential Susan’s with targeted coupon offers
   around higher indexing brands

 • Create a co-marketing partnership with other SuperValu
   private label brands to create simple family meal solutions
   to fit Susan’s time starved lifestyle
    – Determine brands based on basket analysis

 • Develop a better for you program targeting Susan’s
   around healthy snacks for your kids with the Mott’s brand
   and include DPS CSD’s that have a healthy halo




                                                                 37
Next Steps

• Gaining deeper understanding into SuperValu
  strategies and how segments play a role



• Identity key areas for testing




                                                38

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Super valu dr pepper customer segmentation

  • 2. Significant changes for shopper, category and customer 2 2
  • 3. THE CHANGING MARKETPLACE • Winning at Point of Buying (POB) is more important than ever Harder to reach and More demanding harder to influence Shoppers Consumers Customers needing a Competitors building their greater understanding of POB expertise shopper needs We must understand and lead if we are to win at POB 3
  • 4. THE SHOPPER-CENTRIC JOURNEY • Insights into the Who, What, Why and How Who? What? Why? How? Who are my best What influences their What is their behavior What can I do differently consumers and highest behavior potential targets Brand loyalty Needs/Motivations Shopping Habits Right Consumer, Right Retailer Loyalty Attitudes Message, Right Channel, Visit Patterns (RFM) Right Time Lifestyles Marketing Mix Share of Right Mix of Acquisitions Price Sensitivity Requirements (CPG) Competition & Retention Strategy Multi-cultural Share of wallet (Retail) Product/Category Right Marketing Mix Experience 4
  • 5. Vision / Mission / Strategy Provide objective Thought Leadership using insights Vision and fact based solutions to become the partner of choice in each category where we participate Establish Partnership relationships by utilizing Customer Mission Development “Best Practices” to accelerate current and future profitable volume Focus on Customer Developments Business Model to Strategy leverage shopper insights and develop custom activation plans that build shopper loyalty and differentiate our customers in the marketplace Consumer “Shopper” Account 5
  • 6. CUSTOMER DEVELOPMENT MODEL WHERE TO ATTACK ATTACK PLAN RESULTS INSIGHTS STRATEGY ACTIVATION Aligned Action Post Assessment Discovery Execution Planning Planning Analysis • Category trends • Beverage Builder • Custom programs • Competitive assessment • 2+ year strategic plan • Interactive 1:1 • Customer/shopper • Category strategies • Sponsorships • Brand alignment • Customized beverage • Innovation • ALICE “Connect” strategy • Custom scorecards • Shopper-based research • Promo tracking • Brand tracking CUSTOMER-CENTRIC Current volume initiatives (1 yr) Future volume initiatives (2+ yrs) Developing stronger relationships 6
  • 7. WHY ARE WE DOING IT? • Grow the base over time with future volume initiatives Account Specific • Drive volume during current year Programs • Enhance feature ad calendar • Drive volume over 2+ year period Base Volume Initiatives • Focus on changing shopper behavior and grow the base over time Q1 Q2 Q3 Q4 7
  • 8. • Grow the base over time WHY ARE WE DOING IT? with future volume initiatives Account Specific • Drive volume during current year Programs • Enhance feature ad calendar • Drive volume over 2+ year period Base Volume Initiatives • Focus on changing shopper behavior and grow the base over time Q1 Q2 Q3 Q4 8
  • 9. Co Marketing – CPG Partners Methodology: Shopper Universe • Identify shopper groups Potential Co-Marketing • Analyze shopper basket transactions Brand Shoppers • Index shopper measures: Penetration, units, visits Best • Rank against percentage of common Potential visits Match Retailer Loyal Dr Pepper • Recommended cross categories Shoppers Brand Shoppers • Activate to meet shopper needs 9
  • 10. Marketing and Sales DPS Areas of Expertise Channel Brand Consumer Retailer 10
  • 11. Bringing Marketing and Sales Closer Together Today’s Discussion Focus Brand Channel Aligning these two segmentations where Consumer Retailer possible is the key to growth and efficiencies. Shopper Consumer Segmentation Shopper Segmentation 11
  • 12. The Shared Commercial Objective is PROFITABLE VOLUME! Marketing Levers: Consumer / Shopper PENE- PURCHAS VOLUM FREQUENC TRATIO E SIZE E Y N Sales Levers for Growth INCREMENTAL VOLUM BASE VOLUME VOLUME E Space Feature Ads Distribution Displays Promoted Price Everyday Price Account Specific Shopper Programs 12
  • 13. How do we CHANGE Shopping Behavior? Levers Sales will pull to impact objective VOLUME Base Incremental Space & Continuity, 1:1 TACTICS Merchandising, Valued Shopper, Everyday Pricing Features Sales Customer Development RESPONSIBLE Category Management National Accounts Field Sales / Bottler Bottler Category Management 13
  • 14. THE DPS & SuperValu PARTNERSHIP • Putting the shopper at the strategic center 14
  • 15. SO HOW DOES THIS WORK? EXAMPLES & RESULTS 15
  • 16. SuperValu Customer Segmentation 16
  • 17. IDENTIFYING YOUR MOST VALUABLE SHOPPER Dr Pepper Dt Dr Pepper Diet 7 UP CSD Category Segment 1 Diet A&W Diet Sunkist Up-and-comers Dt Can Dry Segment 2 Canada Dry What categories Who are your & brands align most valuable 7 UP with your shoppers? Segment 3 Sunkist shoppers? Sundrop Dinks w/ Dollars Tea, Juice, Mixers Haw Punch Young and Rustic Yoo Hoo Snapple Segment 7 Motts Juice Motts SS Sauce Segment 8 Rose Infusions Mr & Mrs T’s 17
  • 18. DPS/ACCOUNT ALIGNMENT Account index by propensity to consume DPS brands by segment Segment 1 Segment 2 Segment 3 Segment 4 Segment 5 Segment 6 Segment 7 Segment 8 Dr Pepper 76 115 125 92 109 130 113 154 Diet Dr Pepper 79 117 159 131 129 82 106 85 Diet 7 Up 132 61 71 137 82 78 99 72 Diet A&W 87 96 85 114 108 41 102 90 Diet Sunkist 91 124 62 84 77 32 86 73 Diet Canada Dry 81 73 59 109 106 40 103 36 Canada Dry 84 95 88 104 104 73 70 78 7 Up 73 82 111 96 82 101 89 78 Sunkist 75 116 96 113 76 109 78 113 Sundrop 48 115 145 66 108 115 135 168 Hawaiian Punch 73 112 125 75 75 139 101 131 Yoo-hoo 64 131 155 79 97 157 119 199 Snapple 57 68 92 117 100 68 72 69 Mott's Juice 83 80 143 103 80 111 103 71 Mott's Single Serve 99 115 116 130 94 111 93 70 Rose's 53 100 107 105 126 78 96 125 Mr & Mrs T's 88 17 60 134 136 125 100 78 18
  • 19. The Palmers / Premium Explorers Dinner Routine: Exciting and different. Shopping Style: Want an experience but often need to get in and out quickly. Food Attitude: Food is interesting. They view food and dining as an experience rather than a necessity. They expect and can afford fresh and high quality foods. They are interested in healthier options, but love the occasional indulgence. They value food and eating well, but do not always have time to prepare the types of meals they enjoy. When grocery shopping they are looking for helpful employees who inspire them with new ideas. ESTIMATE 20-25% “I believe every encounter with food should be an experience. The best meals start with fresh, high quality and healthy ingredients whether I’m making it or someone else is. I enjoy the grocery shopping experience and look to sales associates for information and ideas.” 19 19
  • 20. 20
  • 21. The Thompson's / Time-Starved Families Dinner Routine: Fast and family friendly. Shopping Style: One-stop shopping and grab ‘n go options. Food Attitude: Food is a way to nurture my family. They believe that time is money. Managing their busy family leaves them time-starved, which results in a reliance on meal solutions and take-out. It’s more important to them that they invest time into their family than into meal prep. Their expectation is that shopping should be easy and they seek out retailers that help them make the most of every trip. Even though they have the means to pay for increased ESTIMATE convenience, they still appreciate a good value and don’t want to trade-off quality for convenience. 20-25% “We don’t have a lot of time to cook or shop but I believe bringing the family together for a meal is part of being a good mom. I want meal solutions and easy one-stop shopping that help me make the most of my time.” 21 21
  • 22. 22
  • 23. The Vincent's / Value-Driven Households Dinner Routine: Traditional home-cooking with limited repertoire. Shopping Style: Willing to shop around to get the best deal. Food Attitude: Food is a necessity. Their strong value orientation drives their shopping behavior. They need to manage their budget, but have a more holistic view of value because they believe that a good value means more than just a good price. They want quality basics and may on occasion indulge beyond that, but won’t pay a premium for either. ESTIMATE 50-60% “We need to watch our food spend, but I want to get the best I can at the best value. It’s not just about finding a good price.” 23 23 23
  • 24. 24
  • 25. 25
  • 26. DPS Alignment Methodology • All 66 PRIZM segments were evaluated by the following variables to determine which SUPERVALU segments most closely aligned – Age – Household Income – Presence of Children – Urbanicity • PRIZM segments were then aligned with beverages to determine the correct beverage mix by segment • Using above information, we then looked at media consumption, leisure activities, and psychographics to begin to develop promotional ideas that will resonate with targeted SUPERVALU segments or clusters 26
  • 27. 66 Cluster Snapshot • Wealthiest segment “Upper Crust” (PRIZM rank #1) accounts for 1.7MM U.S. HH 1 • 1.5% of all U.S. homes are classified as “Upper Crust” PRIZM NE Segment U.S. Households PRIZM NE Segment U.S. Households Claritas 2005 Code Nickname PRIZM NE Segment Demographic Description U.S. Households Claritas 2005 HHs %Comp Code Nickname PRIZM NE Segment Demographic Description HHs U.S. Households Claritas 2005 %Comp Code Nickname WealthyDemographic Description Claritas 2005 HHs %Comp Code Nickname MidscaleDemographic Description HHs %Comp 01 Upper Crust Older w/o Kids 1,690,937 1.52 34 White Picket Fences Middle Age w/ Kids 1,367,601 1.23 01 Upper Crust Wealthy Older w/o Kids 1,690,937 1.52 34 White Picket Fences Midscale Middle Age w/ Kids 1,367,601 1.23 02 Blue Blood Estates Wealthy Middle Age w/ Kids 1,059,462 0.95 35 Boomtown Singles Downscale Younger w/o Kids 1,347,018 1.21 02 Blue Blood Estates Wealthy Middle Age w/ Kids 1,059,462 0.95 35 Boomtown Singles Downscale Younger w/o Kids 1,347,018 1.21 03 Movers & Shakers Wealthy Middle Age w/o Kids 1,806,132 1.63 36 Blue-Chip Blues LowerMid Younger w/ Kids 1,354,490 1.22 03 Movers & Shakers Wealthy Middle Age w/o Kids 1,806,132 1.63 36 Blue-Chip Blues LowerMid Younger w/ Kids 1,354,490 1.22 04 Young Digerati Upscale Younger Mix 1,374,520 1.24 37 Mayberry-ville Midscale Middle Age w/o Kids 2,549,084 2.30 Young Digerati 04 Country Squires Upscale Younger Mix 1,374,520 1.24 37 Mayberry-ville Midscale Middle Age w/o Kids 2,549,084 2.30 05 Upscale Middle Age w/ Kids 2,050,786 1.85 38 Simple Pleasures LowerMid Mature Mix 2,802,944 2.53 Country Squires 05 Winner's Circle Upscale Middle Age w/ Kids 2,050,786 1.85 38 Simple Pleasures LowerMid Mature Mix 2,802,944 2.53 06 Wealthy Middle Age w/ Kids 1,134,965 1.02 39 Domestic Duos LowerMid Older Mix 1,188,359 1.07 06 Winner's Circle Wealthy Middle Age w/ Kids 1,134,965 1.02 39 Domestic Duos LowerMid Older Mix 1,188,359 1.07 07 Money & Brains Upscale Older Mix 2,265,564 2.04 40 Close-In Couples Downscale Older Mix 1,295,133 1.17 Money & Brains 07 Executive Suites Upscale Older Mix 2,265,564 2.04 40 Close-In Couples Downscale Older Mix 1,295,133 1.17 08 Midscale Middle Age w/o Kids 1,208,293 1.09 41 Sunset City Blues Downscale Older Mix 1,892,142 1.70 Executive Suites 08 Big Fish, Small Pond Midscale Middle Age w/o Kids 1,208,293 1.09 41 Sunset City Blues Downscale Older Mix 1,892,142 1.70 09 Upscale Older w/o Kids 2,451,435 2.21 42 Red, White & Blues LowerMid Middle Age w/o Kids 1,019,727 0.92 09 Big Fish, Small Pond Upscale Older w/o Kids 2,451,435 2.21 42 Red, White & Blues LowerMid Middle Age w/o Kids 1,019,727 0.92 10 Second City Elite UpperMid Older w/o Kids 1,313,684 1.18 43 Heartlanders LowerMid Older Mix 2,208,891 1.99 10 God's Country Elite Second City UpperMid Older w/o Kids UpperMid Middle Age w/o Kids 1,313,684 1.18 43 Heartlanders New Beginnings LowerMid Older Mix Downscale Younger Mix 2,208,891 1.99 11 1,813,435 1.63 44 1,697,047 1.53 God's Country 11 Brite Lites, Li'l City UpperMid Middle Age w/o Kids 1,813,435 1.63 44 New Beginnings Downscale Younger Mix 1,697,047 1.53 12 UpperMid Middle Age w/o Kids 1,658,799 1.49 45 Blue Highways LowerMid Middle Age w/o Kids 1,316,921 1.19 12 Brite Lites, Li'l City UpperMid Middle Age w/o Kids 1,658,799 1.49 45 Blue Highways LowerMid Middle Age w/o Kids 1,316,921 1.19 13 Upward Bound UpperMid Middle Age w/ Kids 1,689,622 1.52 46 Old Glories Downscale Mature mostly w/o Kids 1,092,340 0.98 Upward Bound 13 New Empty Nests UpperMid Middle Age w/ Kids 1,689,622 1.52 46 Old Glories Downscale Mature mostly w/o Kids 1,092,340 0.98 14 Midscale Mature w/o Kids 1,171,877 1.06 47 City Startups Downscale Younger w/o Kids 1,605,824 1.45 14 New Empty Nests Midscale Mature w/o Kids 1,171,877 1.06 47 City Startups Downscale Younger w/o Kids 1,605,824 1.45 15 Pools & Patios Midscale Older w/o Kids 1,372,404 1.24 48 Young & Rustic Downscale Younger w/o Kids 3,393,228 3.06 15 Pools & Patios Midscale Older w/o Kids 1,372,404 1.24 48 Young & Rustic Downscale Younger w/o Kids 3,393,228 3.06 16 Bohemian Mix Midscale Younger Mix 2,018,548 1.82 49 American Classics Downscale Mature mostly w/o Kids 1,137,884 1.03 Bohemian Mix 16 Beltway Boomers Midscale Younger Mix 2,018,548 1.82 49 American Classics Downscale Mature mostly w/o Kids 1,137,884 1.03 17 UpperMid Middle Age w/ Kids 1,031,647 0.93 50 Kid Country, USA LowerMid Younger w/ Kids 1,424,706 1.28 17 Beltway Boomers UpperMid Middle Age w/ Kids 1,031,647 0.93 50 Kid Country, USA LowerMid Younger w/ Kids 1,424,706 1.28 18 Kids & Cul-de-sacs UpperMid Middle Age w/ Kids 1,687,777 1.52 51 Shotguns & Pickups LowerMid Middle Age w/ Kids 1,761,715 1.59 18 Kids & Cul-de-sacs UpperMid Middle Age w/ Kids 1,687,777 1.52 51 Shotguns & Pickups LowerMid Middle Age w/ Kids 1,761,715 1.59 19 Home Sweet Home Midscale Middle Age w/o Kids 1,980,255 1.78 52 Suburban Pioneers Downscale Middle Age Mix 1,161,514 1.05 Home Sweet Home 19 Fast-Track Families Midscale Middle Age w/o Kids 1,980,255 1.78 52 Suburban Pioneers Downscale Middle Age Mix 1,161,514 1.05 20 UpperMid Middle Age w/ Kids 1,631,409 1.47 53 Mobility Blues Low-Income Younger w/o Kids 1,169,434 1.05 20 Fast-Track Families UpperMid Middle Age w/ Kids 1,631,409 1.47 53 Mobility Blues Low-Income Younger w/o Kids 1,169,434 1.05 21 Gray Power LowerMid Older mostly w/o Kids 1,174,575 1.06 54 Multi-Culti Mosaic LowerMid Middle Age Mix 1,907,241 1.72 21 Gray Power LowerMid Older mostly w/o Kids 1,174,575 1.06 54 Multi-Culti Mosaic LowerMid Middle Age Mix 1,907,241 1.72 22 Young Influentials Midscale Younger w/o Kids 1,632,610 1.47 55 Golden Ponds Downscale Mature mostly w/o Kids 1,945,151 1.75 Young Influentials 22 Greenbelt Sports Midscale Younger w/o Kids 1,632,610 1.47 55 Golden Ponds Downscale Mature mostly w/o Kids 1,945,151 1.75 23 Midscale Middle Age w/o Kids 1,885,142 1.70 56 Crossroads Villagers Downscale Younger w/o Kids 1,960,469 1.77 23 Greenbelt Sports Midscale Middle Age w/o Kids 1,885,142 1.70 56 Crossroads Villagers Downscale Younger w/o Kids 1,960,469 1.77 24 Up-and-Comers LowerMid Younger w/o Kids 1,357,887 1.22 57 Old Milltowns Downscale Older Mix 1,590,835 1.43 24 Up-and-Comers LowerMid Younger w/o Kids 1,357,887 1.22 57 Old Milltowns Downscale Older Mix 1,590,835 1.43 25 Country Casuals UpperMid Middle Age w/o Kids 1,556,190 1.40 58 Back Country Folks Downscale Older Mix 2,626,222 2.37 Country Casuals 25 The Cosmopolitans UpperMid Middle Age w/o Kids 1,556,190 1.40 58 Back Country Folks Downscale Older Mix 2,626,222 2.37 26 Midscale Older Mix 1,322,764 1.19 59 Urban Elders Downscale Older Mix 1,495,328 1.35 26 The Cosmopolitans Midscale Older Mix 1,322,764 1.19 59 Urban Elders Downscale Older Mix 1,495,328 1.35 27 Middleburg Managers Midscale Older w/o Kids 2,069,213 1.86 60 Park Bench Seniors Downscale Older mostly w/o Kids 1,215,994 1.10 27 Middleburg Managers Midscale Older w/o Kids Midscale Older w/o Kids 2,069,213 1.86 60 Park Bench Seniors Downscale Older mostly w/o Kids 1,215,994 1.10 28 Traditional Times 3,015,905 2.72 61 City Roots Downscale Mature Mix 1,321,286 1.19 Traditional Times 28 American Dreams Midscale Older w/o Kids 3,015,905 2.72 61 City Roots Downscale Mature Mix 1,321,286 1.19 29 Midscale Middle Age Mix 2,434,986 2.19 62 Hometown Retired Low-Income Mature mostly w/o Kids 1,262,715 1.14 29 American Dreams Midscale Middle Age Mix 2,434,986 2.19 62 Hometown Retired Low-Income Mature mostly w/o Kids 1,262,715 1.14 30 Suburban Sprawl LowerMid Middle Age w/o Kids 1,467,153 1.32 63 Family Thrifts Downscale Younger w/ Kids 1,868,599 1.68 30 Suburban Sprawl LowerMid Middle Age w/o Kids 1,467,153 1.32 63 Family Thrifts Downscale Younger w/ Kids 1,868,599 1.68 31 Urban Achievers LowerMid Middle Age Mix 1,852,355 1.67 64 Bedrock America Downscale Younger w/ Kids 2,111,567 1.90 Urban Achievers 31 New Homesteaders LowerMid Middle Age Mix 1,852,355 1.67 64 Bedrock America Downscale Younger w/ Kids 2,111,567 1.90 32 Midscale Middle Age w/ Kids 2,131,717 1.92 65 Big City Blues Downscale Younger Mix 1,318,897 1.19 32 New Homesteaders Midscale Middle Age w/ Kids 2,131,717 1.92 65 Big City Blues Downscale Younger Mix 1,318,897 1.19 33 Big Sky Families Midscale Middle Age w/ Kids 1,853,806 1.67 66 Low-Rise Living Low-Income Younger Mix 1,430,578 1.29 33 Big Sky Families Midscale Middle Age w/ Kids 1,853,806 1.67 66 Low-Rise Living Low-Income Younger Mix 1,430,578 111,006,738 1.29 100.00 111,006,738 100.00 Source: PRIZM 27
  • 28. Segment Alignment with Percentages Ben Susan Ursula Betty Elliot 19.5% of SUPERVALU 17.5 % of SUPERVALU 9.2% of SUPERVALU 9.7% of SUPERVALU 17.5% of SUPERVALU 19.3 % of Households 18.2% of Households 7.2% of Households 9.2% of Households 18.2% of Households Boomtown Singles Beltway Boomers Blue Blood Estates New Beginnings Pools & Patios Close-In Couples Kids & Cul-de-sacs Country Squires Blue-Chip Blues Home Sweet Home Sunset City Blues Fast-Track Families Winner's Circle Multi-Culti Mosaic Gray Power Heartlanders The Cosmopolitans Upward Bound Family Thrifts Middleburg Managers Old Glories American Dreams Bedrock America Traditional Times City Startups Urban Achievers Big City Blues Suburban Sprawl Young & Rustic New Homesteaders Low-Rise Living Blue Highways American Classics Big Sky Families Mayberry-ville Suburban Pioneers White Picket Fences Simple Pleasures Mobility Blues Domestic Duos Red, White & Blues Golden Ponds Kid Country, USA Crossroads Villagers Shotguns & Pickups Old Milltowns Back Country Folks Urban Elders Park Bench Seniors City Roots Hometown Retired Gary Tamara Elaine 8.1% of SUPERVALU 9.3% of SUPERVALU 9.3% of SUPERVALU 9.4% of Households 8.6% of Households 9.2% of Households Young Digerati Movers & Shakers Upper Crust New Empty Nests Executive Suites Money & Brains Bohemian Mix God's Country Big Fish, Small Pond Greenbelt Sports Brite Lites, Li'l City Second City Elite Up-and-Comers Country Casuals Source: MRI Doublebase 2008, PRIZM NE 28
  • 29. Like the SUPERVALU Study, DPS segments exhibit the same demographic profile Qualifier Ben Betty Elaine Elliot Gary Susan Tamara Ursula Median Household Income-HHI $25,624 $28,237 $83,708 $50,704 $61,333 $61,327 $89,785 $114,194 Median Respondent Age 54 36 59 52 40 42 44 44 Median # of People in Household 2 3 2 2 2 3 2 4 Presence of Children Index 64 141 42 71 92 150 98 199 To align the PRIZM segmentation model with SUPERVALU’s proprietary segmentation model, the variables above were used as a validator to ensure that SUPERVALU’s objectives were met. Source: MRI Doublebase 2008, PRIZM NE 29
  • 30. Beverage preferences vary by segment Ben Betty Elaine Elliot Gary Susan Tamara Ursula Dr Pepper 103 123 59 92 95 111 91 96 A & W Root Beer 101 93 78 103 96 109 99 106 7 Up 102 125 77 93 97 96 97 103 Sunkist 108 158 52 90 93 101 65 84 Canada Dry Ginger Ale 90 103 109 95 110 100 113 114 Diet Dr Pepper 90 78 98 100 104 110 137 117 Diet A & W Root Beer 86 80 115 120 113 88 114 124 Diet 7 Up 102 73 116 109 90 92 126 100 Diet Sunkist Orange 85 117 112 103 94 100 98 107 Canada Dry Diet Ginger Ale 93 91 130 100 104 95 128 98 Motts Sauce 82 84 128 99 104 109 104 151 Motts Juice 79 87 102 90 124 120 99 163 Hawaiian Punch 112 180 51 81 77 94 75 87 Snapple 78 118 110 82 121 108 123 127 • Families with lower income levels are most likely to purchase full flavored CSDs. • Elaine, Tamara, and Ursula prefer diet beverages and have a high propensity to purchase Snapple as well as the healthier beverage offerings. • Segments containing children are likely to purchase Motts Sauce. 110+ 109-100 99 below Source: MRI Doublebase 2008, PRIZM NE 30
  • 31. Beverage preferences are evident even at the Cluster level. The Vincents The Thompsons The Palmers A & W Root Beer 100 108 91 Canada Dry Ginger Ale 94 103 111 Dr Pepper 104 108 82 7 Up 104 98 90 Sunkist 113 97 70 Diet A & W Root Beer 96 97 114 Canada Dry Diet Ginger Ale 95 95 121 Diet Dr Pepper 91 112 112 Diet 7 Up 98 94 111 Diet Sunkist Orange 97 102 102 Hawaiian Punch 116 92 67 Snapple 87 113 118 Motts Fruit 87 119 112 Motts Juice 84 130 108 110+ 109-100 99 below Source: MRI Doublebase 2008, PRIZM NE 31
  • 32. Many of Susan’s leisure activities revolve around spending time with their family and friends Fly kites 126 Board games 126 Trivia games 125 Zoo attendance 124 Video games 123 Electronic games (not TV) 123 Attend rock music performances 121 Barbecueing 118 Fantasy sports league 117 Attend auto shows 117 Photo Album/ Scrapbooking 116 PC/Computer games 115 Go to beach 115 Picnic 114 Karaoke 113 105 110 115 120 125 130 Source: MRI Doublebase 2008, PRIZM NE 32
  • 33. Susan’s purchase decisions are heavily influenced by her children and spouse. My children have a significant impact on the brands I choose 107 My spouse has a significant impact on the brands I choose 102 My grocery store offers low prices on all products every day 100 It's imp. salespeople be knowledgeable about prod. theysell 99 I know the price of the foods and packaged goods I buy 99 Buying American products is important to me 98 When I find a brand I like, I stick to it 97 I like to shop around before making a purchase 97 I will gladly switch brands to use a cents-off coupon 96 I'm a spender rather than a saver 96 90 92 94 96 98 100 102 104 106 108 Source: MRI Doublebase 2008, PRIZM NE 33
  • 34. With Susan’s busy lifestyle, she uses technology to simplify her couponing Internet or E-mail 130 Instant coupon machine/Shelf 123 coupons In or on packages 118 Coupons at register 114 Mail 114 Handed out by person in store 112 Sunday newspaper inserts 111 Magazine 109 Weekday newspaper inserts 102 0 20 40 60 80 100 120 140 Source: MRI Doublebase 2008, PRIZM NE 34
  • 35. Susan Media Snapshot Websites: Magazines: Visit a variety of shopping Read a variety of children and website - Ebay, family focused magazines Overstock.com, Shopping.com Family Fun QuickTime™ and a TIFF (Uncompressed) decompressor Also visit entertainment sites - Parents are needed to see this picture. NASCAR, Disney, IMDB and Prevention Family iVillage QuickTime™ and a TIFF (Uncompressed) decompressor are needed to see this picture. Online Activities: TV: Childcare or parenting Watch reality TV like QuickTime™ and a TIFF (Uncompressed) decompressor are needed to see this picture. research (135) American Idol, Biggest Loser Car purchase research and Extreme Home Makeover (123) Paid bills online (123) QuickTime™ and a TIFF (Uncompres sed) decompress or are needed to see this picture. Source: MRI Doublebase 2008, PRIZM NE 35
  • 36. Susan households also purchase a variety of kid dominated products. PRODUCT INDEX Jif 111 QuickTime™ and a QuickTime™ and a TIFF (Uncompressed) decompressor Rold Gold 115 TIFF (Uncompressed) decompressor are needed to see this picture. are needed to see this picture. Baked! Lays 116 Skittles 117 Chex Mix 118 Nabisco Chips Ahoy! 119 Slim Jim 122 Nabisco Oreo 127 Store's Own Brand 133 Lunchables (Oscar Mayer) 136 Lunchables Pizza (Oscar Mayer) 141 QuickTime™ and a TIFF (Uncompressed) decompressor are needed to see this picture. Quic kTime™ and a TIFF (Uncompressed) dec ompressor Lunchables Maxed Out 122 are needed to see this picture. QuickTime™ and a QuickTime™ and a TIFF (Uncompressed) decompressor TIFF (Uncompressed) decompressor are needed to see this picture. are needed to see this picture. QuickTime™ and a TIFF (Uncompressed) decompressor are needed to see this picture. Source: MRI Doublebase 2008, PRIZM NE 36
  • 37. Thought Starters for reaching Susan • Leverage Dr Pepper Snapple database and SuperValu’s to reach potential Susan’s with targeted coupon offers around higher indexing brands • Create a co-marketing partnership with other SuperValu private label brands to create simple family meal solutions to fit Susan’s time starved lifestyle – Determine brands based on basket analysis • Develop a better for you program targeting Susan’s around healthy snacks for your kids with the Mott’s brand and include DPS CSD’s that have a healthy halo 37
  • 38. Next Steps • Gaining deeper understanding into SuperValu strategies and how segments play a role • Identity key areas for testing 38

Notes de l'éditeur

  1. We have a common Volume objective but we activate against it in different ways. Common Language….Language of the shopper
  2. Here’s the first of the three segments, overall a group that’s highly food engaged and has high expectations around quality, assortment and service in our stores We are still doing analysis, but it appears that this group will represent about 20-25% of consumers in our trade areas – the people available to us as potential shoppers
  3. The second cluster is made up of mid- to upper-income families… people for whom time and solutions are critical Due to hectic lifestyles The Thompsons are likely to try to satisfy all their needs in larger, full store shopping trips The are looking for a grocer that can meet their needs in many categories and help them save time and effort It’s easy to think about how their needs differ from the first group This group is also expected to capture about 20-25% of the consumers in our trade areas
  4. Our third, and probably largest group at 50-60% of our consumers, is made up of value-driven households In general, these shoppers use our stores but are prone to channel grazing and cherry picking; they cook, but as a rule food is more of a utility than an experience Aligning our offering to them will help us satisfy more of their requirements It’s not all about price, but delivering price will be critical for this group