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THE WHY OF ROIDr. Gary W. Williams
Professor, Agricultural EconomicsDirector, Texas Agribusiness Market
Research Center (TAMRC)Texas A&M UniversityCollege Station, Texas
Return on Investment: FAIR Reviews andEconomic Analyses as Strategic
Marketing/Management Tools
2004 Marketing Order Management ConferenceSan Antonio, Texas
September 29, 2004
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RATIONALE FORPROGRAM EVALUATION
An Obvious Motive:
because some type of evaluationof the effectiveness of yourpromotion/research investmentsis mandated by the 1996 Farm Bill(FAIR Act)
SOME OF YOU HAVE TO!
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RATIONALE FORPROGRAM EVALUATION
Other Important Reasons:
1. Helps improve the efficiency and effectivenessof the program
Program evaluation can indicate howefficient fund allocation has been
How much bang for the buck hasbeen achieved?
What adjustments needed in futureallocations?
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RATIONALE FORPROGRAM EVALUATION
Other Important Reasons:
2. Assists in the design and adjustment of theprograms long-run strategic plan
What are you trying to achieve and areyou doing it?
Doing things right and Doing the right things
Provides insight on whether promotionactivities are done efficiently but also whether
they are those that will maximum returns
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RATIONALE FORPROGRAM EVALUATION
Other Important Reasons:
3. Serves the information needs of contributors,industry, and other stakeholders
Those who pay for such programs want to know whatthey are getting for the money they are investing
The of the program is immediately obvious tocontributors but the cannot be easily seen
The is a line item on contributors balance
sheets but the are included as part of therevenues earned.
COSTBENEFITS
COSTBENEFITS
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RATIONALE FORPROGRAM EVALUATION
Other Important Reasons:
3. Serves the information needs of contributors,
industry, and other stakeholders (contd)
How much of revenues are result of the marketingorder and/or promotion investments and how muchis due to other factors (foreign demand, consumer
confidence, consumer health trends, food awayfrom home trends, changing demographics,marketing skills, etc.)?
Discontent in the ranks and even legal challenges ifcontributors do not understand the contribution of the
program to their bottom lines
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RATIONALE FORPROGRAM EVALUATION
Other Important Reasons:
4. Provides the necessary economic ammunition torespond to legal challenges
Commodity promotion programs are under attack.Examples: mushrooms, beef, pork, dairy products,
grapes, cotton, orange juice, among many others
Cannot wait until a legal challenge is mounted becausegathering the needed data and conducting a credibleanalysis that will stand up in court as well as to peerreview takes time
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THE HOW OF ROIDr. Gary W. Williams
Professor, Agricultural EconomicsDirector, Texas Agribusiness Market
Research Center (TAMRC)Texas A&M UniversityCollege Station, Texas
Return on Investment: FAIR Reviews andEconomic Analyses as Strategic
Marketing/Management Tools
2004 Marketing Order Management ConferenceSan Antonio, Texas
September 29, 2004
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THE EVALUATION PROCESS
1. Identify the Program Objectives
2. Select the Appropriate EvaluationMethod
3. Collect the Necessary Data
4. Select the Evaluation Team
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STEP 1: IDENTIFY THE
PROGRAM OBJECTIVESGeneral objective is to enhance the profits
of those who contribute to the program
Common Intermediate Indicators of Success
1. Industry Sales
2. Industry Price
3. Industry Profits (Sales Revenue Costs)
4. Consumer Awareness
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STEP 2: SELECT METHODOF EVALUATION
Different Methods for DifferentStages of the Promotion Process
PROMOTION
CONSUMER AWARENESS
SALES/PRICE
CONTRIBUTOR PROFITS
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CONSUMER AWARENESS
Tracking Studies
Changes in consumer attitudes and beliefs
about product measured over time throughconsumer usage and attitudinal surveys
Assume that development of feelings about
product necessary to change behavior
Consumer surveys regarding recall (such asslogan, logo, message), awareness of productattributes, purchase behavior usually along
with advertising campaigns
Consumer Attitude/Belief Studies
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ProblemsIncreased awareness or changed
attitudesas indicated by surveys
CONSUMER AWARENESS
Attitudes and beliefs influenced by manyfactors so measured changes in attitudes
Results of tracking and consumer attitudestudies are
do notnecessarily translate into increased sales
may not be totally due to advertising
product/event specific and notgenerally applicable
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SALES IMPACT STUDIES
Statistical procedures to isolate and measurespecific effects of promotion
Anecdotal Evidence
Compare changes in sales with changes inpromotion expenditures
Statistical Modeling of Relationship
Analysis of Direct RelationshipBetween Promotion and Sales
Goal is to disentangle effects of promotionfrom those of other market forces
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SALES IMPACT STUDIES
Structural Modeling ApproachTwo Modeling Approaches
Demand/Sales Equation(Single or Demand System)
DOJ = f(POJ, FDOC, BRAND, Other)
Other Factors:
- Prices of related products(substitutes and complements)- Income- Population- Others specific to the product
Demand Supply
NewDemand
Sales
Price
Effect of Advertising on Demand/Sales
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SALES IMPACT STUDIES
Time Series Modeling Approach
Focus is on the data and regularitiesin the data themselves
Two Modeling Approaches
Statistical relationship between demandor sales and current and past values ofmarket, macro, and other variables,including promotion expenditures, with noconcern for theoretical or structuralrelationships
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SALES IMPACT STUDIES
Estimated Elasticities
Percent change in demand/sales froma 1% change in promotion expenditures
Measures of Impact
Simulation Analysis
Calculate level of demand that would haveexisted over history of program without
promotion program and compare withactual level of demand over time
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SALES IMPACT STUDIES
Measures of Impact
Even if sales revenues increase
as a result of promotion, theimportant question is whetherthey increase enough to more
than pay for the cost ofpromotion
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SALES IMPACT STUDIES
Measures of Impact
Return on Investment (ROI) Analysis
Misnomer because most ROI studies
calculate a
BCR=Total Revenue Generated by Promotion
Total Promotion Expenditures
BENEFIT-COST RATIO (BCR):
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Beef 5.74 Orange Juice 6.1 (2.9)
Pork 4.79 Apples 12.00
Eggs 6.00 Catfish 0.17-0.57
Soybeans 5.00 Tomatoes 27.15
Cotton 1.57 - 3.59 Almonds 3.0 - 10.0
Milk 4.00 (various) Grapefruit Juice 10.44
Selected BCRs fromSelected Studies
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SALES IMPACT STUDIES
Measures of ImpactReturn on Investment (ROI) Analysis
BCR is AVERAGE return per dollarspent on promotion
Some studies calculate the
to promotion as:% Change in Revenues from a 1%Change Promotion Expenditures
MRR=
MARGINAL
RATE OF RETURN
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SALES IMPACT STUDIES
Limitations of BCR and MRR Measures
STATIC measures of promotion
effectiveness (when calculated fromdemand/sales models)
Often Not Believable
How High a BCR is High Enoughto Justify Continued Investment?
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CONTRIBUTOR BENEFIT STUDIES
If promotion does NOT increases sales,then NO benefit to those who pay for thepromotion
But even if promotion increases sales,the benefits MAY or MAY NOT translateinto increased profits of those who payfor the promotion:
1. Small sales impact
2. Free rider effects and benefit spillover
Small contributor benefit
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3. (linkages among countries)
2. (linkages amongmarkets for closely related goods)
1. (market linkages from retail
to processing to production)
CONTRIBUTOR BENEFIT STUDIES
Measuring benefits to contributors requiresmore complex market models than typicallyused for demand/sales impact studies
If promotion is at retail and contributors areat producer level, then the model mustaccount for:
HORIZONTAL LINKAGES
TRADE LINKAGES
VERTICAL LINKAGES
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capacity
Florida
PlantingsRemovals bytree ageTree Inventoryby tree ageProduction bytree age group
OrangeProductionAZ, CA, TX
BearingAcreage
Production
Production
Florida
PlantingsRemovals bytree ageTree Inventoryby tree ageProduction bytree age group
OrangeProduction
Florida
PlantingsRemovals bytree ageTree Inventoryby tree ageProduction bytree age group
OrangeProduction
TotalOrangeSupply
Fresh
OrangeSupply
Fresh
OrangePrice
FloridaFreshPrice
AZ,CA,TX
FreshPrice
FreshDomesticDemand
FreshExport
Demand
Demand
ProcessOrange
Price
ProcessOrange
PriceProcessFlorida
AZ,CA,TX
ProcessPrice
OJProd.
OJ
StocksEnding
OJ
DemandDomes.
OJImports
OJPrice
Brazil &World
OJExports
weather
yields
technologyalternativecrop prices
costsproduction
weather
yields
technologyalternativecrop prices
costsproduction
disposable
population
other fruitprices
inflation
income
exchange
foreign
foreign
inflation
rates
population
GDPand
processing market
of supplyavailability
power
efficiencyextraction
disposable
population
other fruitjuice prices
inflation
income
exchange
foreign
foreign
inflation
rates
population
GDPand
Notes:
= flow relationship
= lagged flow relationship
= exogenous variables
= endogenous variables = endogenous identity variables
brandedand genericadvertising
marketing,
coststransport
marketing,
coststransport
Structural Representation of Orangeand Orange Juice Markets
Forecasting And Business Analytics, LLC
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OJMOD Structural Specification1
Forecasting And Business Analytics, LLC
tbg)tpl)
U.S. Orange Production by StateFlorida Production
(1) Plantings: PLt = PL(yft * POft, Wft,
(2-5) Bearing Tree Inventory by age group (g): Bgt = Bg(yft * POt, =
gm
gni
PLt-i, Wft,
where ng = age of youngest tree in group
mg = age of oldest tree in group g
(6-9) Removal of Trees by age group (g): Rgt = =
gm
gni
PLt-i -Bgt
(10) Florida Orange Production: Oft = gtj
1ggt By *
=
where j = 4 (young, middle 1, middle 2, old)
Arizona, California, and Texas Production
(11-13) Bearing Acreage: Ast = As(yst * POt, Wst,
where s = Arizona (a), California (c), Texas (t)
(14-16) Orange Production: Ost = yst * Ast
(17-20) State-to-National On-TreeOrange Price Linkages: POft = POf(POt,
POst = POs(POt,
(21) National Average On-Tree Orange
Price Linkage to National On-Tree
Processing and Fresh Oranges Prices: POt= PO(PPt, PFt,
ts)
tf)to)
tpo)
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OJMOD Structural Specification(contd)
Forecasting And Business Analytics, LLC
National Orange Supply and Demand
National Orange Production and Processing Orange Market
(22) National Orange Production: OTt= Oft + =
3
1s
Ast
(23) Processing Demand: DPt= DP(MOt(24) Processing Margin: MOt= t*POJt- PPt(25) Processing Orange to OJ Price Link: PPt= PP(POJt,
National Fresh Orange Market
(26) Supply of Fresh Oranges: SFt= OTt - DPt(27) Demand for Fresh Oranges: DFt= DF(PFRt,
(28) Export Demand for Fresh Oranges: XFt= XF(PFXt,
(29) Fresh Market Clearing Condition: SFt= DFt+ XFt(30) Farm-to-Retail Fresh Price Linkage: PFt= PF(PFRt,
(31) International Fresh Price Linkage: PFt= PX(PFXt,
tdp)
tpp)
tdf)txf)
tpf)tpx)
/t
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Forecasting And Business Analytics, LLC
OJMOD Structural Specification1(contd)
National and World Orange Juice Supply and Demand
National Orange Juice Market
(32) Production of Orange Juice: SOJt = * DPt
(33) Demand for Orange Juice: DOJt = DOJ(POJt, GFDOC, GBRAND
(34) Ending Inventory Demand for OJ: IOJt = IOJ(POJt, SOJt(35) Market Clearing Condition: MOJt = DOJt + IOJt - SOJt -IOJt-1
(36) U.S. Import to Retail OJ Price Linkage: POJt = POJ(PMOJt
World Orange Juice Market
(37) Brazilian OJ Export Supply: XBOJt = XBOJ(PBOJt
(38) ROW2 OJ Net Import Demand: MROJt = MROJ(PBOJt
(39) World OJ Market Clearing Condition: MOJt = XBOJt - MROJt
(40) U.S.-Brazil OJ Price Linkage: PMOJt = PMOJ(PBOJt
1 Nominal values in all behavioral equations except price linkages deflated with appropriate price deflator prior to estimation. For
simulation purposes, the model was re-normalized to insure that each endogenous variable shows up on the left-hand side of only one
equation.
2 ROW = Rest-of-the-World.
t , tdoj)
, tioj)
, tpoj)
, tboj), troj)
, tmoj)
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CONTRIBUTOR BENEFIT STUDIES
MEASURING THE BENEFITS
Simulation (Counterfactual) Analysis
1. Use model to simulate effects on price, sales,production, production costs, trade, etc. withand withoutpromotion expenditures
2. Use simulation results to calculate change in
contributor profits (price x production - costs)
3. Calculate Contributor Profit BCR
(Total increase in profits Total promotion dollars)
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CONTRIBUTOR BENEFIT STUDIES
MEASURING THE BENEFITS
Internal Rate of Return (IRR) Analysis
Steps 1 and 2 the same as for the BCR calculation.
Then calculate the total change in the future valueof estimated profits divided by the present valueof total promotional expenditures:
1$PromotionofPV
ProfitAddedofFVIRR
N
1
=
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FDOC Advertising Investments: Florida Orange Grower Benefit-Cost Analysis, 1967/68-1999/2000a
Forecasting And Business Analytics, LLC
1967/68-1982/83
1983/84-1999/2000
1967/68-1999/2000
Added Orange Cash Receipts ($ million) 2,265.1 2,219.3 4,484.4
FDOC Advertising Expenditures ($ million) 155.7 331.0 486.7
Revenue Benefit-Cost Ratio (RBCR) 14.6 6.7 9.2
Average Cost of Orange Production ($/tree) 11.8 8.0 9.8
Cost of Added Orange Production ($ million) 502.1 513.2 1,015.3
Added Receipts Minus Added Costs ($ million) 1,763.0 1,706.1 3,469.1
Grower Profit Benefit-Cost Ratio (PBCR) 11.3 5.2 7.1
Grower Net Profit Benefit-Cost Ratio (NBCR) 10.3 4.2 6.1
Discounted Grower Profit BCR (DBCR)
b
7.0 3.2 2.9
Internal Rate of Returnc 26.4% 17.4% 14.4%
a Includes effects of only the Florida Department of Citrus generic orange juice advertising expenditures.
b The interest rate on the 30-day Treasury bill used as the discount rate.c Calculated with the Modified Internal Rate of Return procedure (Barry, et al.., 1995)
using the 30-day T-bill rate.
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CONTRIBUTOR BENEFIT STUDIES
MEASURING THE BENEFITS
Interpretation of the IRR:
The rate of return that contributors would
have had to earn on their funds in otherinvestments to have done at least as wellas investing those funds in promotion
The IRR Analysis Treats Promotion asan Alternative Investment
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SOME MEASUREMENT ISSUES
Relationship between promotion andmarket behavior is not straightforward
1. Minimum threshold level of expendituresfor promotion to begin to have effect
2. Life Cycle of Advertising:
- Delayed Effect stage- Carryover Effect stage
- Decay Effect stage
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SOME MEASUREMENT ISSUES
Researchers must account for LifeCycle Effects of advertising
1. Models must include some lag structure
for promotion expenditures
2. Models must adopt an appropriatefunctional form for demand relationshipto account for advertising decay
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STEP 3: COLLECT DATA
Data on large number of variables overlong periods of time required:
1. Promotion expenditures by type of activity,media type, geographic location, etc.
3. Other Key Market Variables (domestic and
foreign supply, demand, prices, trade,government policies, income, transportationcosts, macro variables such as interestrates, exchange rates, etc.)
2. Promotion expenditures on competingproducts
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Frequency of data is important
Weekly: Supermarket scanner data fromA.C. Nielsen or Information Resources, Inc.
Monthly or even quarterly: Ideal for demandanalysis
Annual: May be necessary if supply responseor foreign market behavior included such asin contributor benefit analyses
STEP 3: COLLECT DATA (contd)
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STEP 3: COLLECT DATA (contd)
Cannot Wait Until Analysis is Needed toBegin Collecting Data
Data collection takes a greats deal of time
Data collection, maintenance, and warehousing(database) system needed to facilitate analysisas required
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STEP 4: SELECT EVALUATION TEAM
Consumer Awareness Tracking Studies
- Advertising/Market Research Firms- Researchers in Marketing Departments of
Business Schools
Commodity Promotion Program Analysis
- Economists with expertise and experience inrelevant statistical analyses, market modeling,
scenario analysis, evaluation of commoditypromotion programs
- Selection of researcher(s) should emphasizeobjectivity and peer review to enhance
credibility and professional quality of the work
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WHAT TO EXPECT FROM ANALYSIS
Even if promotion is statistically significant, notlikely to have a large impact on sales or profits
Large BCRs not difficult to find
Dividing small impact on profits by evensmaller expenditures can result in large ratios
Contributors expect that the promotion will
make them individually better offPromotion does not necessarily raise price butcontributors often use price as measure ofprogram effectiveness
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WHAT TO EXPECT FROM ANALYSIS
Results of analysis may not provide entirelyreliable guidance for future allocations ofpromotion funds:
1. What may be true of a program as a wholemay not be true of individual promotionactivities
2. Such analyses are backward looking
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SUMMARY
Measuring Promotion Impacts is Possible
Statistically Complicated
Requires:
Proper and objective expertise to insurereliability, credibility, and usefulnessof results
A great deal of data over long time periods