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in-store behavior monitoring system




©2010 Rock-Tenn Shared Services, LLC, Norcross, GA. All rights reserved.
SHOPPER MARKETING NEXT

New Insight Tools
  –  Understand the in-store environment
  –  Understand shopper behavior
  –  Optimize impact/ROI

The Insights Baseline
§  What works/what doesn’t
§  Category/brand implications
BARRIERS TO SUCCESS

Complexity of Generating Real Insights
  –  The risks of sampled data

The Blindside Factors
§  Shrink
§  Out-of-Stocks
§  Faulty Assumptions & Folklore
REAL INSIGHT COMPLEXITY
          My Concepts Didn’t
    48%   Make it to Retail

          I Don t Know
    57%   if it Worked

          I Can t Seem to
    69%   Get Answers
SHOPPER BEHAVIOR?
SHOPPER BEHAVIOR?
REAL SHOPPER BEHAVIOR
REAL SHOPPER BEHAVIOR
REAL SHOPPER BEHAVIOR
REAL SHOPPER BEHAVIOR




          #1
        High
        Traffic
       Location
REAL SHOPPER BEHAVIOR
NEW BEST PRACTICES

Collect Data in Natural,
Unbiased Environment
  –  On Large Scale
  –  In Real Time

Continuous Monitoring

Flexible / Instantaneous
Testing of Variables
REAL SHOPPER INSIGHT

Are Shoppers Engaged?

        Is the Offer Working?

Off-Shelf vs On-Shelf?

       Which Message Sells Best?

Does Location Drive ROI?
HOW IT WORKS
VideoCams Record Shopper Traffic
HOW IT WORKS
VideoCams Record Engagement
HOW IT WORKS
On-Shelf Sensors Record SKU Movement
HOW IT WORKS
 Seamless integration with store and external systems




Weather Service                                    In-Store Media

                          Point of Sale




          RFID Staff ID                   Promo Calendar
HOW IT WORKS
   Real-time data for
desktop analysis & action




         TRENDS
        TRAFFIC
      STORE vs TIME
       DWELL STORE
      CONVERSION
        DAYPART
360º VISIBILITY
From store-level patterns…
      Daily Traffic, Dwell & Conversion
360º VISIBILITY
to category engagement …

 Category Engagement & Conversion
360º VISIBILITY
to individual shelf SKUs …
360º VISIBILITY
… to chain-wide reporting
NOW ACTIVE IN 100s OF STORES
5 Major Chains
§  Grocery
§  C-Store (2)
§  Drug
§  Department
20+ Specialty Chains
  Pilot Lab Store
GROCERY PROJECT
Retailer Volume is Unacceptable
§  Customer believes shrink is an issue
§  Brand listings at risk

Brands need to improve Customer business

Methodology
§  Measure and understand Shrink
   •  Propose Shrink-reduction strategies
§  Measure and understand Volume
   •  Propose Volume-enhancement strategies
GROCERY PROJECT
Understanding Shrink
§  It is a shelf issue, not a back room issue


   Shipping	
  	
        Unpacking	
  	
     Stocking	
  	
     Store	
  Shelf	
  	
  	
  
GROCERY PROJECT
Understanding Shrink
§  It is a shelf issue, not a back room issue
GROCERY PROJECT
Understanding Out-of Stock
  –  It is an even bigger issue than Shrink.
   •  Brand often not on the shelf most of the day!
       –  100% of OOS, there is inventory available in the back room
   •  $1MM+ Retailer opportunity for this one product!
                            Avg         OOS         Avg
            SKU
                            Inv.       Events   OOS Duration
            28ct             .82         1      14 hr 8 mins

            42ct              .5         1      12 hr 3 mins

         Pegged             11.0         0       0 hr 0 mins
       Gastrointestinal Tablet Brand
       24 hour-day Dec 13,2009
GROCERY PROJECT
Understanding Out-of Stock
  –  Can be traced to day parts
  –  Most egregious: 3-7pm (43%)
GROCERY PROJECT
Understanding Out-of Stock
GROCERY PROJECT
  Understanding Volume
      –  It is a Dwell Time issue
      –  Shelf sets not optimized for stoppage or engagement


                     Avg             Unit     $
                            Item                    Avg $
 Traffic   Dwells   Dwell
                            Picks   Sales   Sales    Sale
                    Time
  989        7       8s      3       2      $49     24.62

  892       10      12 s     7       6      $91     15.22

Skin Care Example
Dec 20/27, 2009
GROCERY PROJECT
Shrink,   Volume: Skin Care Example
GROCERY PROJECT
Shrink,    Volume: Skin Care Example

All-new merchandising approach
   –  Vertical blocking
   –  Light fixture
   –  Messaging
   –  Floor graphics

Theft deterrents
 §  PVM - brand content, face motion-activated
 §  Audio alert – chime on sweep events
GROCERY PROJECT
CASE STUDY: CEREAL
               Drive Traffic Into the Aisle

Traditional Aisle Set
   –  Little/No
      Messaging
CASE STUDY: CEREAL
              Drive Traffic Into the Aisle

 Store	
  traffic	
  	
  
   =	
  46,390	
  	
  

21% go Aisle	
  
  Cereal	
   to the
 Traffic	
  =	
  aisle
 cereal 9,756	
  

  14	
  %	
  engage	
  
        Brand	
  
        For	
  an	
  
  average	
  he	
  23	
  
    with	
  t of	
  
    Shoppers	
  
        brand	
  
     =	
  1,397	
  
     seconds	
  

        Brand	
  
         47	
  %	
  
        Buyers	
  
       purchase	
  
         brand	
  
         =	
  650	
  
CASE STUDY: CEREAL
               Drive Traffic Into the Aisle
Solution:
 §  Leverage GM
     Umbrella Positioning:
CASE STUDY: CEREAL
               Drive Traffic Into the Aisle
Solution:
 §  Leverage GM
     Umbrella Positioning:




 §  Group into an 8   set
CASE STUDY: CEREAL
                 Drive Traffic Into the Aisle
Solution:                                       Overhead
                                                  Cam
   –  Leverage GM
      Umbrella
      Positioning:
                                         Face
                                         Cam



 §  Group into an 8 set
 §  Create a Cereal Showcase
Shopper Benefit:
 §  Whole Grain Goodness
            A healthy choice
CASE STUDY: CEREAL
               Drive Traffic Into the Aisle

Methodology:
  –  Analyze impact of
     the showcase on:
     •  Aisle Traffic
     •  Engagement / Dwell
     •  Conversion to Sales
     •  SKU level
        conversion
     •  Sales by Shopper/
        household

  –  Base vs Test Period
CASE STUDY: CEREAL
    “engagement”
CASE STUDY: CEREAL
                                    Results

    AISLE TRAFFIC                           Higher increase
                                          Aisle traffic as % of
         # Customers that walk       than any previous promotion
              through the aisle
                                       store traffic increased 15%

STOPPAGE POWER                      # of shoppers engaging with
                                         Shoppers stopping
 % of aisle traffic that stop and
       engage with the product       the Brand increased 200%
                                           increased 180%

         DWELL TIME                         Dwell Time
        Amount time shoppers
        spent with the product            Decreased 23%

       CONVERSION                        Brand Conversion
     % of shoppers walking by
     that purchase the product             Increased 8%

                    SALES           Brand sales as %buyers had
                                     11.2% of Brand of Category
                       Sales for     Brand Sales Increased 17%
                    the product       been buying other20.2%
                                       sales increased brands
CASE STUDY: CANDY
Measure Impact of Display
CASE STUDY: CANDY
                                                Measure Impact of Display

             Display	
  1	
                                                            Display	
  3	
  



                                                       Display	
  2	
                                                     Display	
  4	
  




Main	
  Entrance	
  inbound	
  traffic,	
  	
                                    Proximity	
  to	
  Promo*onal	
  
  adjacent	
  to	
  loyalty	
  kiosk	
                                            Waters	
  department   	
  




                                                Main Entrance outbound                                             Rear Entrance outbound
                                                traffic, in path to checkout                                       traffic, in path to checkout
CASE STUDY: CANDY
                            Results
       VISIBILITY               Average customer
                                Product Exposure
       # Customers that
     walked by a display
                                walked by 1.8 times
                                 Increased 498%

     SHOPPERS                     # of shoppers
       # Customers that
engaged with the product         increased 340%

    DWELL TIME              30% higher at the displays
  Amount time shoppers
  spent with the product      compared to the shelf

  CONVERSION                % ofProduct Conversion that
                                 total store customers
       % walking by that
    purchase the product
                             purchased increased 665%
                                    Increased 51%

             SALES             8.1% had been buying
                             Brand Sales as % of Total
                Sales for   Brand Sales Increased 804%
             the product        other candy brands
                              Candy Increased 2,488%
SUMMARY	
  
             Take Action
            in Real Time
          to Improve Your
       In-store Performance




www.                          .com
www.                                                                                 .com
       REAL IN-STORE ANSWERS

          ©2010 Rock-Tenn Shared Services, LLC, Norcross, GA. All rights reserved.

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ShopperGauge Overview

  • 1. in-store behavior monitoring system ©2010 Rock-Tenn Shared Services, LLC, Norcross, GA. All rights reserved.
  • 2. SHOPPER MARKETING NEXT New Insight Tools –  Understand the in-store environment –  Understand shopper behavior –  Optimize impact/ROI The Insights Baseline §  What works/what doesn’t §  Category/brand implications
  • 3. BARRIERS TO SUCCESS Complexity of Generating Real Insights –  The risks of sampled data The Blindside Factors §  Shrink §  Out-of-Stocks §  Faulty Assumptions & Folklore
  • 4. REAL INSIGHT COMPLEXITY My Concepts Didn’t 48% Make it to Retail I Don t Know 57% if it Worked I Can t Seem to 69% Get Answers
  • 10. REAL SHOPPER BEHAVIOR #1 High Traffic Location
  • 12. NEW BEST PRACTICES Collect Data in Natural, Unbiased Environment –  On Large Scale –  In Real Time Continuous Monitoring Flexible / Instantaneous Testing of Variables
  • 13. REAL SHOPPER INSIGHT Are Shoppers Engaged? Is the Offer Working? Off-Shelf vs On-Shelf? Which Message Sells Best? Does Location Drive ROI?
  • 14. HOW IT WORKS VideoCams Record Shopper Traffic
  • 15. HOW IT WORKS VideoCams Record Engagement
  • 16. HOW IT WORKS On-Shelf Sensors Record SKU Movement
  • 17. HOW IT WORKS Seamless integration with store and external systems Weather Service In-Store Media Point of Sale RFID Staff ID Promo Calendar
  • 18. HOW IT WORKS Real-time data for desktop analysis & action TRENDS TRAFFIC STORE vs TIME DWELL STORE CONVERSION DAYPART
  • 19. 360º VISIBILITY From store-level patterns… Daily Traffic, Dwell & Conversion
  • 20. 360º VISIBILITY to category engagement … Category Engagement & Conversion
  • 22. 360º VISIBILITY … to chain-wide reporting
  • 23.
  • 24. NOW ACTIVE IN 100s OF STORES 5 Major Chains §  Grocery §  C-Store (2) §  Drug §  Department 20+ Specialty Chains Pilot Lab Store
  • 25. GROCERY PROJECT Retailer Volume is Unacceptable §  Customer believes shrink is an issue §  Brand listings at risk Brands need to improve Customer business Methodology §  Measure and understand Shrink •  Propose Shrink-reduction strategies §  Measure and understand Volume •  Propose Volume-enhancement strategies
  • 26. GROCERY PROJECT Understanding Shrink §  It is a shelf issue, not a back room issue Shipping     Unpacking     Stocking     Store  Shelf      
  • 27. GROCERY PROJECT Understanding Shrink §  It is a shelf issue, not a back room issue
  • 28. GROCERY PROJECT Understanding Out-of Stock –  It is an even bigger issue than Shrink. •  Brand often not on the shelf most of the day! –  100% of OOS, there is inventory available in the back room •  $1MM+ Retailer opportunity for this one product! Avg OOS Avg SKU Inv. Events OOS Duration 28ct .82 1 14 hr 8 mins 42ct .5 1 12 hr 3 mins Pegged 11.0 0 0 hr 0 mins Gastrointestinal Tablet Brand 24 hour-day Dec 13,2009
  • 29. GROCERY PROJECT Understanding Out-of Stock –  Can be traced to day parts –  Most egregious: 3-7pm (43%)
  • 31. GROCERY PROJECT Understanding Volume –  It is a Dwell Time issue –  Shelf sets not optimized for stoppage or engagement Avg Unit $ Item Avg $ Traffic Dwells Dwell Picks Sales Sales Sale Time 989 7 8s 3 2 $49 24.62 892 10 12 s 7 6 $91 15.22 Skin Care Example Dec 20/27, 2009
  • 32. GROCERY PROJECT Shrink, Volume: Skin Care Example
  • 33. GROCERY PROJECT Shrink, Volume: Skin Care Example All-new merchandising approach –  Vertical blocking –  Light fixture –  Messaging –  Floor graphics Theft deterrents §  PVM - brand content, face motion-activated §  Audio alert – chime on sweep events
  • 35. CASE STUDY: CEREAL Drive Traffic Into the Aisle Traditional Aisle Set –  Little/No Messaging
  • 36. CASE STUDY: CEREAL Drive Traffic Into the Aisle Store  traffic     =  46,390     21% go Aisle   Cereal   to the Traffic  =  aisle cereal 9,756   14  %  engage   Brand   For  an   average  he  23   with  t of   Shoppers   brand   =  1,397   seconds   Brand   47  %   Buyers   purchase   brand   =  650  
  • 37. CASE STUDY: CEREAL Drive Traffic Into the Aisle Solution: §  Leverage GM Umbrella Positioning:
  • 38. CASE STUDY: CEREAL Drive Traffic Into the Aisle Solution: §  Leverage GM Umbrella Positioning: §  Group into an 8 set
  • 39. CASE STUDY: CEREAL Drive Traffic Into the Aisle Solution: Overhead Cam –  Leverage GM Umbrella Positioning: Face Cam §  Group into an 8 set §  Create a Cereal Showcase Shopper Benefit: §  Whole Grain Goodness A healthy choice
  • 40. CASE STUDY: CEREAL Drive Traffic Into the Aisle Methodology: –  Analyze impact of the showcase on: •  Aisle Traffic •  Engagement / Dwell •  Conversion to Sales •  SKU level conversion •  Sales by Shopper/ household –  Base vs Test Period
  • 41. CASE STUDY: CEREAL “engagement”
  • 42. CASE STUDY: CEREAL Results AISLE TRAFFIC Higher increase Aisle traffic as % of # Customers that walk than any previous promotion through the aisle store traffic increased 15% STOPPAGE POWER # of shoppers engaging with Shoppers stopping % of aisle traffic that stop and engage with the product the Brand increased 200% increased 180% DWELL TIME Dwell Time Amount time shoppers spent with the product Decreased 23% CONVERSION Brand Conversion % of shoppers walking by that purchase the product Increased 8% SALES Brand sales as %buyers had 11.2% of Brand of Category Sales for Brand Sales Increased 17% the product been buying other20.2% sales increased brands
  • 43. CASE STUDY: CANDY Measure Impact of Display
  • 44. CASE STUDY: CANDY Measure Impact of Display Display  1   Display  3   Display  2   Display  4   Main  Entrance  inbound  traffic,     Proximity  to  Promo*onal   adjacent  to  loyalty  kiosk   Waters  department   Main Entrance outbound Rear Entrance outbound traffic, in path to checkout traffic, in path to checkout
  • 45. CASE STUDY: CANDY Results VISIBILITY Average customer Product Exposure # Customers that walked by a display walked by 1.8 times Increased 498% SHOPPERS # of shoppers # Customers that engaged with the product increased 340% DWELL TIME 30% higher at the displays Amount time shoppers spent with the product compared to the shelf CONVERSION % ofProduct Conversion that total store customers % walking by that purchase the product purchased increased 665% Increased 51% SALES 8.1% had been buying Brand Sales as % of Total Sales for Brand Sales Increased 804% the product other candy brands Candy Increased 2,488%
  • 46. SUMMARY   Take Action in Real Time to Improve Your In-store Performance www. .com
  • 47. www. .com REAL IN-STORE ANSWERS ©2010 Rock-Tenn Shared Services, LLC, Norcross, GA. All rights reserved.