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NOVEMBER 3, 2014, PROMOTION OPTIMIZATION INSTITUTE, DALLAS NIELSEN TRADE PROMOTION LANDSCAPE ANALYSIS HOW DO YOUR PROMOTIONS COMPARE WITH BEST-IN-CLASS? Doug Bennett, Senior Vice President, Custom Analytics

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Page 1: Nielsen Trade Solutions - Promotion Optimization Institutepoinstitute.com/wp-content/uploads/2014/11/How-Do-Your-Promotions... · • examines all promotional events ... is not a

NOVEMBER 3, 2014, PROMOTION OPTIMIZATION INSTITUTE, DALLAS

NIELSEN TRADE PROMOTION LANDSCAPE ANALYSIS

HOW DO YOUR PROMOTIONS COMPARE WITH BEST-IN-CLASS?

Doug Bennett, Senior Vice President, Custom Analytics

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NIELSEN IS CONDUCTING THE LARGEST PROMOTION BENCHMARK PROGRAM EVER

340 CATEGORIES

15 DEPARTMENTS

1MM UPCs

125MM EVENT WEEKS

1.6T US RETAIL SALES

Across 150 banners in Food, Drug, Mass (excluding Walmart), Pet, Dollar and Convenience

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NORMATIVE FRAMEWORK TO MEASURE RETURN

1) Isolate Events Identify promotion weeks based depth of discount vs. everyday price

2) Build a Volume Calculation Framework Incremental Sales = Total Sales – Baseline Incremental Cost = Direct Trade Expense + Incremental COGs Trade Return = Incremental Sales – Incremental Cost

3) Derive Promotion Costs by Applying Industry Standards Manufacturers pay 80% of Discount Standard Cost for COGs, Feature & Display

4) Calculate Key Efficiency Metrics for Analysis Trade Efficiency = Trade Return / Dollar Invested Trade Responsiveness = Lift / Point of Discount % Sales on Trade

Robust approach provides rich promotion benchmarks

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DRILLING THE ANALYSIS TO ACTIONABLE INSIGHTS Narrowed the analysis to eliminate some of the extreme skews

211 CATEGORIES

13 DEPARTMENTS

811K UPCs

92MM EVENT WEEKS

213B US RETAIL SALES

This analysis: • includes categories with sales over $100MM and promotional frequency of at least 5% • excludes tobacco, alcohol, eggs, milk and bread • examines all promotional events discounted at least 10% across 75 banners from

Food, Drug and Mass (excluding Walmart)

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67% DON’T BREAK EVEN

33% MAKE MONEY

ELIMINATING OF PROMOTIONS WOULD INCREASE SALES REVENUE 22%

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

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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TRA

DE

EFFI

CIE

NC

Y %

OF W

EEKS O

N P

RO

MO

TION

Normative ROI Frequency of

Promotion

PROMOTION INEFFICIENCY IS GETTING WORSE Frequency vs. Return – chicken or the egg?

6.0%

6.5%

7.0%

7.5%

$0.60

$0.65

$0.70

$0.75

20

12

1Q

20

12

2Q

20

12

3Q

20

12

4Q

20

13

1Q

20

13

2Q

20

13

3Q

20

13

4Q

20

14

1Q

20

14

2Q

20

14

3Q

Trade Efficiency % of Weeks on

Promotion Trade Efficiency

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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DAIRY

75%

MEAT

62%

FRO

ZEN

FO

OD

S

66

%

GEN

ERA

L M

ERC

HA

ND

ISE

60

%

HO

USE

HO

LD C

AR

E

56

% GROCERY

73%

PER

SON

AL

50

%

BAKERY

73%

PET CARE

66%

HEALTH

59%

BEAUTY CARE

50%

PRODUCE

74%

DELI

72%

70-75% 65-69% 60-64% 55-59% 50-54%

% OF WEEKS THAT DON’T BREAK EVEN

OPPORTUNITIES EXIST ACROSS THE ENTIRE STORE Trade promotion effectiveness varies from 50% to 75% across departments

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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Most Efficient Least Efficient

0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Trade Efficiency < 0

Trade Efficiency >= 100

% O

F C

ATEG

OR

Y E

VEN

TS

LEAST EFFICIENT MOST EFFICIENT

0 < Trade Efficiency < 100

CATEGORY VARIANCE IS SIGNIFICANT Understanding where your business falls is valuable context

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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20%

30%

40%

50%

60%

70%

80%

90%

100%

$-

$2

$4

$6

$8

$10

$12

CAT

EGO

RY

SIZE

($

BIL

LIO

NS)

% O

F CATEG

OR

Y EVEN

TS THAT D

ON

’T B

REA

K EV

EN

CATEGORY SIZE DOESN'T DICTATE PERFORMANCE There is no relationship between category size and promotion efficiency

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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Frozen Toaster Pastries

Yogurt

Powdered Instant Drinks

Fresh Poultry

Frozen Juice

Sugar Frozen Fruit

Adult Incontinence

Fresh Meat

Pet Medicine

$(1.00)

$(0.50)

$-

$0.50

$1.00

$1.50

$2.00

-20% -10% 0% 10% 20% 30% 40%

% CHANGE IN CATEGORY SALES

Category Trade Efficiency

CATEGORY HEALTH IS NOT DISCRIMINATING Growing and declining categories alike have tremendous variance in efficiency

INCREASING SALES DECREASING SALES

LEAST EFFICIENT

MOST EFFICIENT

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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51% 45%

36% 30% 29% 28%

0%

10%

20%

30%

40%

50%

60%

70%

2% 4% 6% 8% 10% 12% 14% 16% 18% 20%

% O

F EV

ENTS

TH

AT D

ON

’T B

REA

K E

VEN

% OF WEEKS ON PROMOTION

OVER-PROMOTING DILUTES EFFICIENCY Scrutinize purchase frequency, expandable consumption, and storability

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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37.0% 40.8%

53.2%

60.6%

74.3% 69.0%

100%50-100%25-50%5-25%0-5%0

Average Category Trade Efficiency

% OF TOTAL EVENTS PROMOTING DEEPER THAN 25% DEPTH OF DISCOUNT

SELECTIVELY UTILIZE OF DEEP DISCOUNTS Greater than 50% of promotions on deep discount significantly degrades ROI

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

%

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-100%

-50%

0%

50%

100%

150%

200%

250%

60% 65% 70% 75% 80% 85% 90% 95% 100% 105%CAT

EGO

RY

TRA

DE

EFFI

CIE

NC

Y

% OF TOTAL EVENTS IN FOOD CHANNEL

Drug

61.7%

Food

67.8%

Mass

55.5%

PERCENT OF EVENTS THAT DON’T BREAK EVEN

BALANCE CHANNEL ALLOCATION WITH VOLUME Over-promoting in Food in light of channel migration is detrimental

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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Baby Formula

Coffee

Hair Coloring Cat Litter

Fabric Softener

Shampoo and Conditioner

Frozen Pizza

Fresh Sausage

Pie Filling

Ice Cream

Soft Drinks

Frozen Toaster Pastries

Breading & Stuffing

Hot Cereal

Facial Tissue

Prepared Beans

Cream Cheese

Yogurt

-8%

-6%

-4%

-2%

0%

2%

4%

6%

8%

10%

20%30%40%50%60%70%80%90%100%

% OF WEEKS THAT DON’T BREAK EVEN

PO

INT

CH

AN

GE

IN B

REA

K E

VEN

WEE

KS

Seizing Opportunity: High Efficiency and Improving

Becoming Winners: Inefficient but Improving

Off Course: Efficient but Getting Worse

Missing Opportunity: Inefficient and Getting Worse

YOUR FATE IS NOT SEALED Categories improved their performance by applying optimal strategies

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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HOW ARE CATEGORIES BECOMING WINNERS? Decreasing depth of discount while increasing frequency is working for some

+3.6 pts. +2.8 pts. +1.8%

-39.2%

CHANGE IN TRADE

EFFICIENCY

CHANGE IN # OF EVENTS

CHANGE IN SALES

CHANGE IN % OF DEEP DISCOUNT EVENTS

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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+21.4 %

+1.1% +2.5 pts. +21.4%

CHANGE IN SALES

CHANGE IN # OF EVENTS

CHANGE IN % OF DEEP DISCOUNT EVENTS

HOW ARE CATEGORIES GETTING OFF TRACK? Trying to drive significant volume from promotions if you current events are efficient is not a great way to drive sales

-8.5 pts.

CHANGE IN TRADE

EFFICIENCY

Added in ROI decline and aligned to prior page

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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Missing Opportunity: Example Category Event Distribution by Event Efficiency

Break Even

VALUE-DESTROYING Trade Efficiency <0

78% VALUE-DILUTING

0<= Trade Efficiency <100

15% VALUE-CREATING

Trade Efficiency >=100

7%

THERE ARE WINNING AND LOSING EVENTS IN THE LEAST EFFICIENT CATEGORIES…

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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Seizing Opportunity Example Category Event Distribution by Event Efficiency

VALUE-DESTROYING Trade Efficiency <0

5% VALUE-DILUTING

0<=Trade Efficiency<100

24% VALUE-CREATING

Trade Efficiency>=100

71%

…AND THE MOST EFFICIENT CATEGORIES

Break Even

All Manufacturers have opportunity to optimize their events

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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Best-in-Class

Bottom 20%

5X BEST-IN-CLASS MANUFACTURERS RECEIVE

THE RETURN

VS.

THE LEAST EFFICIENT

Hundreds of millions of dollars for the average manufacturer

BEST-IN-CLASS Driving winning promotions delivers significant returns for manufacturers

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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-50%

0%

50%

100%

150%

0% 10% 20% 30% 40% 50% 60%

Grocery Channel Category A Performance

Trad

e E

ffic

ien

cy

Time on Promotion

Seg. A Seg. B Seg. C Seg. D Seg. E Seg. F

Seg. G Seg. H Seg. I Seg. J Seg. K

BECOMING WINNERS: Historical execution need not dictate current or future plans

High Frequency and Low Return

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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Segment Category Trade

Efficiency Mfr. A % of Promotions

Mfr. B % of Promotions

Best-in-Class % of Promotions

Category % of Promotions

A -16% 52.2% 30.7% 0.5% 33.6%

B 125% 31.5% 29.9% 50.2% 28.2%

C 58% 12.2% 19.1% 25.9% 15.5%

D 44% 4.2% 16.4% 18.2% 14.7%

E 72% 0.0% 3.8% 5.2% 8.0%

REALLOCATE TRADE ACROSS SEGMENTS Manufacturer A and the Category Advisor have an opportunity to improve category

OVER-PERFORMING ON-PAR UNDER-PERFORMING

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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45% TRADE RETURN

48% TRADE RETURN

52% TRADE RETURN

108% TRADE RETURN

MISSED OPPORTUNITY: Are you using the right tactic to communicate your offer to the consumer?

6% 7% 8% 8%

TPR Only Feature Only Display Only Feature & Display

Trade Return Change in Weeks of SupportSource: Nielsen Trade Promotion Benchmark Database 2014 Q3

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0%

10%

20%

30%

40%

50%

60%

70%

80%

0%

20%

40%

60%

80%

100%

120%

140%

160%

180%

Category Trade Efficienccy Manuf A % on Promotion Manuf B % on Promotion Manuf C % on Promotion

CA

TEG

OR

Y T

RA

DE

EFFI

CIE

NC

Y

TIME O

N P

RO

MO

TION

Opportunity Gap

SEIZING OPPORTUNITY: Is your plan aligning promotions to the right weeks to maximize effectiveness?

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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56% 25% 19%

135 88 114

Drug Food Mass

% of Sales

Ratio of Events That Don’t Break Even to

Share of Events

Over Promotion

OFF COURSE: Are you deploying your promotions to the right channels with the greatest effectiveness?

Over Promotion

Source: Nielsen Trade Promotion Benchmark Database 2014 Q3

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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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LAGGING: USE PRINCIPLES AT ACCOUNT LEVEL Predictive analytics identify pricing and promotion variance at your customers

Base and Promoted Price Elasticity by Account Event Type Lift by Account

Lagging

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MIDDLE: EVALUATE COMPETITIVE EFFECTS Managing gaps and thresholds in joint business plans drives win/win outcomes

Localize price via market specific price thresholds and competitive gaps

Simulate and define customer business plans for mutual wins

MIDDLE

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WINNING: CONTINUOUS IMPROVEMENT Isolate consumer response to drive greater insight to your overall promotion process

Net Promotion Source of Volume Across Accounts and Products

Robust Post Promotion Analysis Linked to TPM

HIGH END