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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