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Figure4PredictedShareofPurchasesTracksActualShareCloselyfortheCalibrationSampleovertheCalibrationPeriod
Small A
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Small B
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Perhapsamodestrelationshipexists,althoughonlySmallCandSmallEattheextremeshavesigni?cantt-values(2.5and?4.7).Onewouldconjecturethatanexplanatoryvariablemaybemissing.Atopcandi-datewouldbequalityofdisplayduringapromotion.SmallEstandsoutevenfurtherthanthiswouldbeexpectedtoexplainand,infact,isaslightlydifferentproductwithcertainuniquequalities.
Lookingatthecontrolvariablesfurther,weseethatregularandpromotionalpricecoef?cientshaveaboutthesamemagnitude.Wedonotexpectthisaprioribecausethepromotionalpriceislikelytobeadver-tisedinthenewspapersandbysignswithinthestore.Similarityofcoef?cientsdoesnotnecessarilyimplysimilarityofpriceresponse,however,becauseoftheothertermsintheutilityfunction.
Promotionisthemostinterestingcontrolvariable.Notonlyisitseffectlargebutusuallyitisaccom-paniedbyapricecutthatenhancestotalimpact.Somemarketersbelievetheeffectofpromotionstobeentirelyduetopricebutthatviewisnotsupportedbyourresults.Evenwithapricecutofzero,alarge
GuadagniandLittle:ALogitModelofBrandChoiceCalibratedonScannerData
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probabilitymuchorexperiencegainisthatcalculated.specialThisisconsistentwithtomerfreestandingpositions)playdisplaysamajor(e.g.,roleend-aisleincus-importantTheresponse.
pastaquestionpromotioninpackagevariableisdirectedatanlikelycustomerbuystowhobuysaproductgoodsonpromotionmarketing:lessIsisitrepurchaseunderordinarythatproductcircumstances?thanacustomerThewhotionalneeded(1977),activity.forassessingTheworkofthetruevalueofpromo-answer(1981)Dodsonetal.(1978),andShoemakJonesanderandZufrydenShoafnegativeindicatesthatthepromotionalpurchasehasaTheeffectonsubsequentpurchaseprobability.thebuyingeffect.presentAmodelpromotionalpermitspurchaseanexplicitaffectsassessmentofpriorcustomerpromotionalthroughbrandpurchaseloyalty,variables.sizeloyaltysubsequentSupposeandtheThenperiod’sthebuys(usingutilitycontributionaparticularthataasaresultofthatbrand-sizeonpromotion.ofthepurchaseloyaltytovariablesthenexture3,andcoef?cientsthede?nitionsfromS6ofofxTable1,the??sofFig-is6andx7):
??3??92????0??125????1??+??2??97????0??188????1??=1??05??
However,promotionalthispurchasecontributionvariable:
isdiminishedbytheprior???0??22????1??=?0??22??
Thisofleavesaingnothavingnetpurchasedplusofthe0.83relativetoasituationoftheprocesstothenextpurchase,brand-sizetheatcontributionall.Carry-variablestheoriginalis:
purchasetoutilitythroughtheloyalty??3??92????0??875????0??125????1??+??2??97????0??812????0??188????1??=0??88butpurchaseisdiminishedvariable
bythesecondpriorpromotional???0??46????1??=?0??46
forpromotionalanetofpreviouspurchase0.42.Thevariablesnegativeeffectofthepriorperiodsauthors,butnetcontributionisinagreementoverthewithtwotionthesaysremainsthatthepositive.customerInisothermorewordsthecalcula-chasedpromotedbrand-sizethanifithadlikelynottobeenpurchasepur-beenanonpromotionalinthe?rstplace,purchase.
butlesslikelythanifithad6.
TheTesting
chases)holdoutbratedmodel.providessampleTrackinganopportunityof100households(1609pur-shareofpurchasestochallengebythe4-week
cali-MarketingScience27(1),pp.29–48,?2008INFORMS
periodonlyvariesdoeswillsharebeourloomprimaryimportantmethodinpracticeofevaluation.butitNotalsoaskseveraldramaticallyovertimeandoverbrand-size.share(1)Howquestions:
Wewelldoesperiodinthehold-outsamplethemodelduringpredictthebrand-sizesametimetime(2)Howusedwellinthedoescalibration?
themodelpredictshareduringdata(3)periodsCanthesubsequentmodel,usingtotheconstantscalibration?
derivedfromwithinthatsusindividualmixestogetherstores?Inallcomparingstores,predictpredictedsharesver-especiallyactual,purchasesforwelowneedshareameasurebrand-sizes,ofrandomvariation,Accordingly,maybeveryfewinaparticularwhosefournumberweeks.ofdictedsize,share.Forweobservationcalculateastandardiandanyerrorofpre-Giventhemodelpredictsaprobabilityofgivenpurchasebrand-pi.correct,theLettingthenullactualhypothesispurchasethatisbinomiallythecalibratedmodelisofobservations,
sdenotethepredictedshareandndistributed.thenumbers=??
np??in??
??
i=1SE??s??=
??n??1/2p??
i??1?pi??
n??
i=1
whereSE??s??isthestandarderrorofshare.
theFigurethecasearemodelof5displaysprediction,SmallA.anTheexampleofhold-outtracking,thedottedupperandlinelowerinthemiddleisdence±1.64SEandsoformapproximatelya90%solidcon?-linespre-periodband.TrackingSeptemberTheloyalty14,variables1978throughareinitializedMarchinaMarchusedforecastby8,thenthe1979takescalibrationthroughplaceOctoberduringtheperiod7,1979.fromsampleand17,1979onintopreviouslyanew,1980.
periodOctober18,1979throughMarch5,AAsmaybeseen,agreementmotionalgeneralupwardtrendiscaptured.isremarkablySoisagood.pro-interruptedpeakandthenadownwardtrendthatismodeltemporarilybyanotherpromotion.TheWeenvironmentcreditisimpressivethistodetailedintrackinginformationtheseupsanddowns.promotion,tors)andatpromotionalthetimeofpurchaseabout(namely,theprice,storehistorypluspricecutforallcompeti-variables.
summarizedinformationinaboutthethebrandcustomer’sandsizepurchaseloyaltytheOfonlyperiodspecialOctoberinterest18isthetoMarchgoodquality5,sinceofheretrackingwenotiningsample.outsideareusingInthetheahold-outforecasttimeperiodsamplebutalsoareforecast-periodusedwecontinuebythecalibrationtoemploy
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Figure5
TrackingofSmallAPurchaseShareinaHoldoutSampleof100CustomersShowsActualShareFallingAlmostEntirelyWithintheCon?denceBand
Share of purchases
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Actual purchase sharePredicted purchase share90% confidence band
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Notes.Theverticallineseparatesthecalibrationtimeperiodfromtheforecastperiod.Duringtheforecastperiodloyaltyvariablesareconstructedfromsimulatedpurchases.
theactualpricesandpromotionsofallthebrandsizes(i.e.,themodelisnotattemptingtopredictwhatmar-ketingdecisionswillbemade).Adilemmaarises,however,overtheloyaltyvariables.Loyaltyusespur-chasesinitsconstructionandyetthepurposeoftheholdoutsampleistopredictpurchases.Wecan,ofcourse,simplyusethepurchasesjustforthecon-structionoftheloyaltyvariables.Thisseemsjusti-?edsincewearealwayspredictingaheadintimerelativetothepurchasesenteringthecalculation.WeusethisprocedureforMarch8toOctober17,1979.However,forOctober18,1979toMarch5,1980,weadoptanew,MonteCarlomethodsoastobeabovereproachontheissue.Weconstructasyntheticpur-chasehistoryforeachcustomerasfollows:Whenanactualpurchaseisneededtoupdatetheloyaltyvariables,wedrawarandomnumberanduseittoselectabrand-sizetobepurchased,thisbeingdonesothattheprobabilityofpickingabrand-sizeconformstoitsmodel-calculatedpurchaseprobability.Astheforecastperiodproceeds,thesyntheticpurchasehis-toryunfoldsforeachcustomerandenterstheloyaltyvariables.
WeseeinFigure5that,evenwiththeseveretestofanewsetofcustomersandaconservativeloyaltycalculation,trackingisgoodinthepost-calibrationperiods.Figure6displayscorrespondingplotsforallbrand-sizes.Themodelfollowstheturnsandtrendsofsharequitewell.Enoughpointslieoutsidethe90%con?denceband,however,tosuggestthemodelhasnotcapturedallphenomenaand,indeed,weknowsomevariablesaremissing.
Inmostcasesthesharechangesarefollowedwithinastandarderrororsobutsometimestheabsolutelevelismissed.ThedeviationofSmallBinthefore-castperiodisanexample.Itwouldappearfromthequalityof?tingeneralthatthemodelcapturesquitewelltheaverageeffectof,say,promotion,butanindi-vidualpromotionmaybemoreorlesssuccessfulthanaverage.TheoneforSmallBinthemiddleoftheforecastperiodappearstohavebeenlesssuccessful.Thedeviationpersistsafterthepromotionbecausethemodelincreasesthecustomers’loyaltiesonthebasisoftheirassumedpromotionalpurchases,whereastheactualcustomersexperiencenosucheffect.Despitetheleveldifference,however,thedirectionalchangescontinuetobecorrect.
SmallDshowsaleveldifferencethatputstheactualshareentirelyabovethecon?denceband.Presumably,thisisduetoamiscalibrationofthebrand-sizecon-stant.Oncheckingback,itturnsoutthatthecalibra-tionsamplecontainsonly31purchasesofSmallDoutofatotalof1021duringthecalibrationperiod(3.0%share).Despiterandomselectionofcustomersforthetwosamples,theholdoutgrouphasmanymorepurchasesofSmallD,about93outof916(10.2%share)inthesameperiod.Alargerbrand-sizecon-stantwouldproduceabetterrepresentationoftheunderlyingpopulationthatbothsamplesaredrawnfromandwouldcertainlyimprovetheappearanceoftheSmallDplot.Bethatasitmay,thesharechangesaretrackedwellsothat,withrespecttothenormativequestionsofwhathappenswhenthedecisionvari-ablesarechanged,theSmallDplotisreassuring.Anotheropportunitytotestthemodelarisesfromthepresenceofdifferentstoresinthesample.Thepanelpopulationconsistsofstore-loyalcustomersfromfourstores,eachofwhichhasitsownindivid-ualpersonality.Oneofthemisalargeconventional
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Figure6
GuadagniandLittle:ALogitModelofBrandChoiceCalibratedonScannerData
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TrackingofPurchaseShareintheHoldoutSampleIsQuiteGoodforAlmostAllBrand-Sizes
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supermarket;anotherasmaller,moreneighborhoodmarket;stillanotherisawarehousestore;andthelastisaconventionalstorewithunconventionalmer-chandisingpractices.Thecalibrationprocesstakesnoaccountofthedifferencesamongstoresbeyondwhat-evermanifestationsthesemaygeneratethroughval-uesoftheattributevariables,nordoesthecalibrationconsiderthatdifferenttypesofhouseholdsmayshopatdifferentstores.
Breakingthecustomersdownbystorereducessam-plesizes.TocompensateweaggregateoversizestobrandlevelandalsofocusontwohighsharebrandsAandC.Figure7presentstrackingforthesebrandsinthefourstores.TheformatisasinFigure5:holdoutsample,predictedandactualshareswithcon-?denceband.Theresultsareverysatisfactory,withthemodelpredictingbehaviorwellacrossthefourstores.NoticeinparticularthetrackingofthedeclineofBrandCinStore3.Theimplicationisthatifweknowwhatishappeningtothecontrolvariablesinthestore,wecanpredictsharequitewell.
Theparsimonyofthemodeldeservesemphasis.Omittingthebrand-sizeconstantswhich,aswehavediscussed,determineonlyaverageshare,thecoef?-