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NOV 3, 2016, GLOBAL PROMOTION OPTIMIZATION SUMMIT, DALLAS CRACKING THE CODE ON BESTINCLASS TRADE PROMOTION Rick Hall Global Lead, Sales Effectiveness

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Page 1: CRACKING$THE$CODE$ ON$BEST

NOV  3,  2016,  GLOBAL  PROMOTION  OPTIMIZATION  SUMMIT,  DALLAS

CRACKING  THE  CODE  ON  BEST-­‐IN-­‐CLASS  

TRADE  PROMOTION

Rick  HallGlobal  Lead,  Sales  Effectiveness

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Copyright  ©2015  The  Nielsen  Company.  Confidential  and  proprietary.

2

SIGNIFICANT  INVESTMENTS  ARE  MADE  Globally,  over  half  a  trillion  $  is  invested  annually  in  trade  promotion

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

$500,000,000,000

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3

NIELSEN  DATA  SCIENCE  LEADS  THE  INDUSTRY

NETWORKING

• Taps  into  new  expertise/research  to  ensure  we  are  on  the  cutting  edge  of  key  areas;  research  collaborations,  industry  task  force  involvement  and  sponsorship   of  science  symposia

• Partners  with  industry   organizations  such   as  the  Council  for  Research  Excellence to  exchange  latest  ideas  and  to  solve  mutual  problems  

• Works  with  research  universities   around  the  globe  such  as  University  of  Chicago,  Oxford  University,  National  University  of  Singaporeand  University  of  Mumbai  

• Provides   statistics  forWhite  Houseand  U.S.  Consumer  Confidence  Index

TOP  TALENT

• Largest  Global  Data  Science  Organization  withmore  than  900  associates  

• Embedded  in  every  Solution

• Present  in  100  countries

• More  than  50  PhDs  rivals  top  university  mathematics  departments

• Greatest  Available  Industry  Data  

• Leading  experts  in  statistics,  neuroscience  and  behavioral  studies

• Leaders  in  Research: (2015  Activity)

• 12  science  publications,  

• 43  patent  submissions   &  

• 50  professional   conference  presentations  

• Nielsen  Innovation  is  accelerating

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4

MEASURE  &  MODEL  GLOBAL  CONSUMER  BEHAVIORAnalytics  Platform  – Big  Data,  Models,  Access

Building  a  Common  Data  Environment   – Granular  DataOver  100  countries  sales   data  loaded   into  the  environmentStandardized  data  model  for  all  countries  and  outletsCommon  services   for  access   and  processing

Applying  Data  Sciences  on  Global  ScalePromotional  Benchmarks  {  US,  CA,  GB,  FR,  ES,  IT,  DE  }Core  Price  &  Promotion  Models    {  US,  CA,  GB,  FR,  ES,  IT,  DE  }Assortment  models   to  derive  incrementality *On-­‐Shelf  Availability  *

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

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5

CONTINUOUS  PRICE  AND  PROMOTION  MODELING  • Program  started   in  2012  – 30  countries  by  mid  2017• Today  data  set:  US,  Canada,  France,  Germany,  UK,  Italy  and  Spain• Core  Price  and  Promotion  Model    added  to  benchmark

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

331CPG  CATEGORIES

4.9MMGTINs

93MM2015

EVENT  WEEKS

810B2015

TOTAL  RETAIL  SALES

1.6BCOEFFICIENTSESTIMATED

β

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6

CORE  PRICE  AND  PROMOTION  MODELS  ENABLEScenario  planning,  optimization   and  sales  decompositions.

Components   addressed   by  these  models:

Acting  on  Self  (Non-­‐competitive):• Regular  price  elasticity  (and  thresholds)

• Promoted  price  elasticity    (and  thresholds)

• Promotion  mechanic  lift  – Feature,  Display,  Special  Pack

• Promotion  offer  types  – e.g.  Multi-­‐buys

Acting  on  Others  (Competitive):• Regular  price  cross-­‐elasticity  

• Promoted  price  cross-­‐elasticity

• Promotion  cross-­‐impacts

• Distribution  cross-­‐impacts

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

β

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7

WHAT  HAVE  WE  LEARNED?

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8

WE  ALL  KNOW  PROMOTIONS  CAN  BE  INEFFICIENTThe  majority  of  trade  promotion  events  don’t  break  even  

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

of  promotions  globally

DON’T  BREAK  EVEN

59%

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Copyright  ©2015  The  Nielsen  Company.  Confidential  and  proprietary.

9Nielsen  Scantrack:  xAOCYTD  2015  through  9/26/15  VS.  2012

more  items  are  in  distribution,  but  sales  velocity  is  declining

cost  of  out-­‐of-­‐stocks:  ~8%  (in)efficiency

DEPARTMENT  TRENDSTOP  5  DEPARTMENTS  -­‐ $  SALES  YTD  2015

9%

14%

9%

3%

6%

-­‐7% -­‐8%

-­‐6%

-­‐1% -­‐1%

GROCERY DAIRY HOUSEHOLD  CARE FROZEN  FOODS PERSONAL  CARE

TDP

$  VELOCITY

CURRENT  SALES  PRACTICES  LEAVE  OPPORTUNITY

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Copyright  ©2015  The  Nielsen  Company.  Confidential  and  proprietary.

1010

LARGE  MANUFACTURERS  AREN’T  KEEPING  UP

Source:  Nielsen  Retail  Measurement  Data,  4;  CAGR  May  2010-­‐2015  

vs

LARGE  MANUFACTURERS

MIDDLE-­‐MARKET  MANUFACTURERS

28%  flat  or  decliningGROWTH  RATE  9%

42%  flat  or  decliningGROWTH  RATE  3%

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11

EVERY  COUNTRY  HAS  ITS  WINNERS  AND  LOSERS

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

No  Country  is  showing  year  over  year  improvements.

41%

46%

43%

45%

42%

57%

51%

52%

58%

60%

58%

61%

71%

72%

59%

54%

57%

55%

58%

43%

49%

48%

42%

40%

42%

39%

29%

28%

2014

2015

2014

2015

2014

2015

2014

2015

2014

2015

2014

2015

2014

2015

Italy

Germ

any

Canada

Spain

GBFrance

US

%  don't  break  even %  make  money

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12

PROMOTIONAL  FREQUENCY  REMAINS  STABLE  OVER  TIMENumber  of  event  weeks  vary  by  department   but  have  not  changed  since   last  year.

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

0%

2%

4%

6%

8%

10%

12%

14%

%  OF  WEEKS  ON  PROMOTION  (US)

2014 2015

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13

DEPTH  OF  DISCOUNT  HAS  INCREASED  SLIGHTLY

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

0%

5%

10%

15%

20%

25%

30%

35%

AVERAGE  DISCOUNT  %  (US)

2014 2015

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14

TRADE  PROMOTIONS  INCREASE  WHILE  ROI  DECLINESPromotion  Frequency  and  Trade  ROI  Trend  – 2012-­‐2015

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

4.3%

4.4%

4.5%

4.6%

4.7%

4.8%

4.9%

5.0%

5.1%

$0.89  

$0.90  

$0.91  

$0.92  

$0.93  

$0.94  

$0.95  

$0.96  

$0.97  

Prom

otion  F

requ

ency

Manufacturer  Trade  Efficiency

Global  Trend:  US,  Canada,  and  Top  5  EU  Markets

Manufacturer  Trade  Efficiency Promotion  Frequency Trade  Efficiency  Trend Promo  Frequency  Trend

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15Most  Efficient Least  Efficient

0  <  Trade  Efficiency  <  100

CATEGORY  SUCCESS  VARIES  SIGNIFICANTLYUnderstanding  where  your  business   falls  is  valuable  context

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

Efficiency

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

PHOTO

GRAP

HIC  SU

PPLIES

BATH

 TISSU

ECA

MPING

BOWLS

CAND

LES

TOAS

TER  PA

STRY

EYE  CA

REHO

USEH

OLD  PLASTICS

SCRA

PBOOK  AC

CESSOR

IES

BABY  HBC

PIE  FILLING

PASTA  SA

UCE

PREPAR

ED  BEA

NSKITCHE

N  AC

CESSORY

WRITING

 INSTRU

MEN

TSBA

KING

 SUP

PLIES

HAIR  SPRAY

 AND

 HAIR  STYLING  …

EXTRAC

TSFROZEN  AP

PETIZER

JAM  AND

 JELLY  AN

D  PRESERVE

SMOTH

 PREVE

NTAT

IVE

DOG  CO

NTRO

LBA

BY  FOOD

COOKIES

PAPER  NA

PKIN

DIAR

RHEA

 REM

EDY  PRODU

CTBA

TTERIES

FROZEN  GR

AVY  AN

D  SA

UCE

DIP  FROZEN

MAY

ONN

AISE

INSECT  REPELLENT

 PRO

DUCT

BREA

DING

 AND

 STU

FFING

MEXICAN

 SAU

CEVITA

MINS  A

ND  SUP

PLEM

ENTS

FROZEN  FRUIT

DRIED  FRUIT

TOMAT

O  PASTE  AND

 SAU

CEKITCHE

N  MAT

CHREFRIGERAT

ED  PAS

TA  AND

 SAU

CEPO

WDE

RED  INSTAN

T  DR

INKS

FROZEN  BA

GELS

REFRIGERAT

ED  LIQUID  TEA

DIP  DA

IRY  REFRIGERAT

EDREFRIGERAT

ED  COND

IMEN

TSICE  CREA

M  CONE

SGR

AIN  CA

KES

BAKED  BREA

D

US  Categories'  %  of  Event  Weeks  Break  Even

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16

SUCCESSFUL  EVENTS  ARE  SPREAD  ACROSS  THE  STOREPromotion  effectiveness   by  department   has  remained  stable  over  the  past  few  years.

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

0%

5%

10%

15%

20%

25%

30%

35%

40%

%  OF  WEEKS  THAT  MAKE  MONEY  (US)

2014 2015

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17

SO  WHAT  MAKES  AN  EFFECTIVE  EVENT?

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18

NON-­‐FOOD  CATEGORIES  TEND  TO  BE  MORE  SUCCESSFULFood  product  categories   trail  the  rest  of  the  store  by  9 points  or  more.

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

34%

31%

25%

Home  Care Personal  Care Food

%  of  Weeks  Making  Money  by  Product  Category

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19

PROMOTIONAL  SUPPORT  SPANS  PRODUCTSBoth  Food  and  Non-­‐Food  products  receive  similar  promotional  support,  despite  the  difference  in  promotional  success

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

19%

35%

27%

10%9%

17%

Home  Care Personal  Care Food

%  of  W

eeks  with

 Supp

ort

Promotional  Support  by  Product  Type

Feature  Frequency Display  Frequency

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20

PRODUCT  GROUP  TELLS  US  A  BIT,  BUT  NOT  ENOUGHWithin  each  group  of  categories   there   is  still  a  wide  variety  of  responses.

So,  these   findings  are  general  trends  not  hard  and  fast  rules.

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

Rank Personal  Care Home  Care Food

1 Personal  Care  Appliance  (47%)

Photographic  Supplies  (62%)

Canned  Hams  (60%)

2 Hair  Coloring  (46%)

Major  Appliances  (60%)

Coffee(48%)

n-­‐1 Motion  Sickness  (17%)

Allergy  Cold  and  Respiratory  Product  (13%)

Refrigerated  Doughs  and  Wraps(9%)

n First  Aid  Cottons  and  Swabs  (15%)

Gum  with  Premium  (12%  )

Ice  (9%)

All (59%) (55%) (48%)

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21

PROMOTIONAL  SUPPORT  BRINGS  MORE  EFFICIENCYBest-­‐in-­‐class   events  used  22%  more  promotional   support  than  the  least   efficient

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

0

5

10

15

20

25

30

35

Tactic  (any  DP) Tactic  (any  FT)

Promotional  Support  Usage

Top  10%  Events Bottom  10%  Events

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22

BUT  DISPLAY  SUPPORT  DOESN’T  GUARANTEE  SUCCESSSupport  helps  success,   but  other  factors  need  to  be  taken   into  consideration

0%

10%

20%

30%

40%

50%

60%

70%

CANNED  HAMS FROZEN  SAUSAGE DEODORIZER  AND  FRESHENER  AND  

SCENT

CANNING  SUPPLIES ORAL  HYGIENE SHAVING  NEEDS

Food Food Home  Care Home  Care Personal  Care Personal  Care

Event  Success  vs.  Display  Support

%  Weeks  Mfg  Trade  Efficiency  >  1 %  Weeks  on  Display

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23

FEATURE  SUPPORT  DOESN’T  GUARANTEE  SUCCESSMexican  Food  and  Mexican  Sauce  receive  similar   feature  support  but  Mexican  Sauce  is  more  likely  to  have  a  successful   promotion

0%

10%

20%

30%

40%

50%

60%

MEXICAN  FOOD MEXICAN  SAUCE COMPUTER  ACCESSORY CAT  LITTER FOOT  CARE MEDICATIONS

Food Food Home  Care Home  Care Personal  Care Personal  Care

Event  Success  vs.  Feature  Support

%  Weeks  Mfg  Trade  Efficiency  >  1 %  Weeks  on  Feature

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24

CATEGORIES  WITH  HIGHER  AVERAGE  PRICES  TEND  TO  HAVE  MORE  SUCCESSFUL  EVENTSThis  pattern  is  consistent   across  product  types

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

0%

10%

20%

30%

40%

50%

60%

70%

-­‐2 -­‐1 0 1 2 3 4 5 6

%  W

eeks  M

fg  Trade  Efficiency  >

 1

Ln(Avg  Unit  Price)

Category  Success  by  Average  Unit  Price

Food Home  Care Personal  Care

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25

FURTHER  INVESTIGATIONS  USING  PRICE  ELASTICITY

We’ve  seen  evidence  that  ROI  and  Elasticity  are  linked.    

What  are  these  elastic  products?

This  relationship  proves  some  common  intuitions  

but  also  uncovers  complex  underlying  relationships.

Scope/Definitions:

“Most  Sensitive”  =  10  most  elastic  product  categories  “Least  Sensitive”  =  10  least  elastic  product  categories

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

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26

MOST  ELASTIC  CATEGORIES80%  of  the  “Most  Sensitive”  categories  are  Food

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

Although  these  categories  are  all  price  sensitive,  there  is  still   great  variation  in  success  rates  for  promotional  events

Product  Category Type  of  Product Price  Sensitivity  Rank %  Successful  Events  Rank

FROZEN  PIZZA  CRUST Food 1  /  325 23  /  325

WATER  CONDITIONERS Home  Care 2  /  325 175  /  325

GUM Food 3  /  325 35  /  325

BUTTER Food 4  /  325 183  /  325

DRIED  FRUIT Food 5  /  325 82  /  325

OVEN  COOKING  BAG Home  Care 6  /  325 193  /  325

MEAT  FROZEN Food 7  /  325 189  /  325

PREPARED  STUFFING  FRZ Food 8  /  325 161  /  325

BREAKFAST  MEAT Food 9  /  325 252  /  325

ISOTONIC  BEVERAGE Food 10  /  325 133  /  325

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27

LEAST  ELASTIC  CATEGORIES70%  of  the  “Least  Sensitive”   categories  are  Home  Care

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

Although  these  categories  are  relatively   inelastic,  a  few  have  higher  than  average  rates  of  promotional  success

Product  Category Type  of  Product Price  Sensitivity  Rank %  Successful  Events  Rank

AQUATIC  SUPPLIES Home  Care 325  /  325 17  /  325PET  TREATMENTS  EXTERNAL  OTHER Home  Care 324  /  325 271  /  325

PAIN  RELIEVING  DEVICE Personal  Care 323  /  325 299  /  325

FISH  FOOD Home  Care 322  /  325 99  /  325

PET  REPELLENT Home  Care 321  /  325 322  /  325

PET  GROOMING Home  Care 320  /  325 214  /  325COFFEE  MUGS  AND  FILTERS Home  Care 319  /  325 244  /  325

FIRST  AID  OTHER Personal  Care 318  /  325 105  /  325

HOUSE  AND  CARRIERS Home  Care 317  /  325 280  /  325

EGG  SUBSTITUTE Food 316  /  325 225  /  325

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28

8 OF  TOP  10  MOST  ELASTIC  CATEGORIES  ARE  FOODHome  care  categories   dominate   the  least  sensitive   group.

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

1

87

22

0

2

4

6

8

10

12

Least  Sensitive Most  Sensitive

Number  of  Categories  by  Product  Type

Food Home  Care Personal  Care

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29

THE  RESULTS  VARY  WIDELY  ACROSS  COUNTRIESPricing  dynamics  within  product  type  changes  by  country

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

6 6 4 5 5 47 8 6 7

4

18

12 12

2

20

7

15

7

1715

1

9 8

18

1

11

2

12

1

Least  Sensitive

Most  Sensitive

Least  Sensitive

Most  Sensitive

Least  Sensitive

Most  Sensitive

Least  Sensitive

Most  Sensitive

Least  Sensitive

Most  Sensitive

DE ES FR GB IT

Category  Counts  By  Product  Type

Home  Care Food Personal  Care

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30

WHICH  FACTORS  POINT  TO  MORE  EFFECTIVE  EVENTS?To  review  what  we  have  seen,  here’s  an  Indicator  Scorecard…..

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

Potential  Indicator Relationship Strength Relationship  Direction

Product Class   Strong Non-­‐food is  better.

Category  Size Weak Positive

Average  Price Strong Positive

Average  Discount Weak Positive

Promotion  Frequency Weak Positive

Quality Support? Strong With  support  is  better.

Category Display  Weeks Moderate Positive

Category  Feature  Weeks Moderate Positive

Promoted  Price  Elasticity Moderate Positive  (magnitude)

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31

DON’T  KNOW

THIS  IS  A  BIG  CHALLENGE,  WHERE  DO  I  START?Understand  context  and  focus  on  biggest   problems   in  overall  process

Benchmark  your  performance  to  the  industry  and  your  key  competitors

Identify  the  largest  pain  points  in  your  overall  planning  process  and  align  solutions

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32

TAKE  THERE  STEPS  TO  IMPROVED  PROFIT

Get  Everyday  Price  Right:    Price  is  the  foundation  of  all  promotional  spend,  and  EDLP  is  the  biggest  category  of  promotional  spending.

Understand  the  drivers  of  Promotional  Profit  – Discount,  and  Support  activity  vary  in  impact  and  cost.    The  right  mix  will  drive  major  changes   in  profit.

Drive  this  into  account  planning  and  negotiation.    Guidelines  by  category  or  channel  miss  the  tremendous   variation  at  the  retail  account.

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33

UNDERSTAND  CORE  PRICE  IMPACTWhere  will  pricing  changes  have  the  greatest  and  least   impact  across  my  portfolio?

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PRICE  IT  RIGHT  ACROSS  ACCOUNTSUnderstand  price  behavior  at  the  customer  account.

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UNDERSTAND  REGULAR  AND  PROMO  BEHAVIORSet  Product  and  Price  Strategy  Based  on  Behavior

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HOW  WILL  DIFFERENT  DISCOUNTS  IMPACT  SALES?

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UNDERSTAND  THRESHOLDS  AND  GAPS

Price  Gaps

• Pricing  thresholds   represent  psychological  unwillingness   to  pay  beyond  certain  price  points

• Proper  management  of  base  price  threshold  can  add  2-­‐10%  additional  sales  on  the  shelf

• Optimize  gap  vs  competition  and  develop  guidelines   to  stay  competitive

Price  Sensitivity

Thresholds

Stay  Within  Major  Price  Thresholds

Stay  Competitive  vs.  Competition

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ANTICIPATE  COMPETITIVE  RESPONSENo  price  action   is  taken  in  isolation.

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UNDERSTAND    DRIVERS  OF  PROFITABLE    PROMOTION    

• Promoted  Elasticity

• Promoted    Thresholds  

• Frequency  vs.  Depth  

• Real  Impact  of    Bogos  and  Price  Multiples

• Cannibalization  of  a  promotion

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40

PROMOTION  BENCHMARK  ANALYSISA  three-­‐step  approach  to  help  you  understand  how  well  your  promotions  perform  and  differences   in  strategy  vs.  your  competition

Benchmark  Assessment

Benchmark  your  trade  promotion  performance  against  other  categories  and  competitors  within  

your  categories  

Promotion  Diagnostic  Check

Measure  the  effectiveness  of  different  trade  

controllables such  as  promotion  tactic  and  

discount  depth  

Drill  Site  Scorecard

Benchmark  your  promotion  strategy  vs.  best-­‐in-­‐class  

across  channels,  segments,  depth,  frequency  and    

timing

Outcome:Understand  how  your  promotions  compare  to  

best-­‐in-­‐class

Outcome:Identify  the  best-­‐in-­‐class  

trade  promotion  strategies  and  tactics

Outcome:Prioritize  focus  areas  to  bring  your  promotions  to  

best-­‐in-­‐class  levels

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

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UNDERSTAND  THE  IMPACT  OF  DISCOUNT  DEPTH  

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HOW  DO  PROMOTIONAL  DRIVERS  EFFECT  KEY  ITEMSWill  this  change  my  promotional  mix?

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UNDERSTAND  DRIVERS  OF  PROMOTION  -­‐ CANNIBALIZATION

Current  Paradigm Purchase  Behaviors

Brand  Switch

Non  – Promoted  Volume                

Subsidized  Volume

IncrementalVolume

Non  – Promoted  Volume      

Subsidized  Volume

Store  Switch

New  Paradigm

MarketExpansion

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UNDERSTAND  DRIVERS  OF  PROMOTION  What  is  driving  the  results   of  my  event?

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CREATE  WIN-­‐WIN  SCENARIOS  WITH  RETAILERSUnderstand  margin  for  both  players.

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Manufacturer   Benefit

Retailer  Benefit

HIGHLOW

LOW

HIGH

PROMOTIONAL  IMPACT  FRAMEWORK

14%

26%

40%

19%Retailer   Growth

Subsidization Manufacturer  Growth

Mutual   Growth

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UNDERSTAND  DRIVERS  OF  PROFITABLE  PROMOTIONS

Brand  X  

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REVENUE  MANAGEMENT  CYCLEDynamic  solution  with  predictive   analytics  applied   to  latest  sales   data  to  support  on-­‐going  pricing  and  promotion  decisions,   analysis  and  business   planning  process    

Nielsen  Proprietary  2016  Global  Benchmark  Analysis

ANALYTICS

INTEGRATION

Strategic  Planning

Tactical  Planning

Promotion  Management

RetailExecution

Post-­‐EventAnalytics

INPUTS

PnP  Modeling

LINKS  TO

TPM  Integration

S&OP  Demand  Planning