Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014...

28
Eight Prac+cal Rules for Building Marke+ng Mix Models Models that work ‐ and your clients can buy into mathematics applied to government, industry and commerce, llc

Transcript of Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014...

Page 1: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

EightPrac+calRulesforBuilding

Marke+ngMixModelsModelsthatwork

‐andyourclientscanbuyinto

mathematics applied to government, industry and commerce, llc

Page 2: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Rule1:Understandthebigpicture

•  Whoaretheplayersinthecategory•  Whataretheydoing

– Marke<ngexpenditures

– Productposi<oning– Marke<ngchannels– Productinnova<ons

•  Whatobjec<veistheclienttryingtomeet

Page 3: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Rule2:Grapheverythinginsight

•  OEoEcksteinrule:– Nevershowaclientamorethan2by2matrix

•  Noclient–andveryfewanalysts–canmakesenseofacomplexsetofnumbers

•  Don’tshowgraphsunlesstheytellastory– Somestoriestheyknow[toshowthatyouunderstandthebusiness]

– Andsometheydon’t[toshowyourvalue]

Page 4: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Illustra<on:Dish‐washingdetergent

•  Clientwasdisturbedbyasharpdeclineinmarketshareinlong‐<mecategoryleader

0%

10%

20%

30%

40%

50%

60%

MarketShare(byVolume)

BrandA BrandB BrandC AllOthers

Page 5: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Illustra<on

•  Newentrywasgrowingrapidly•  Butalsofundamentallyalteringthecategorybyintroducingconcentrates

0

2000

4000

6000

8000

10000

12000

14000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

MarketVolume(byForm)

Concentrate Powder

Page 6: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Illustra<on

•  Asconcentratesweremuchmoreprofitable•  Theclient–whohadbeenquicktorespond–wasnowmakingfarmoremoney– Attheexpenseofthesmallerbrands

$0$1,000$2,000$3,000$4,000$5,000$6,000$7,000$8,000$9,000$10,000

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20

ProjectedProfit

BrandA BrandB BrandC AllOthers

Page 7: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Realobjec<ve

•  Theclient’sconcernwasmisplaced•  Theobjec<veshouldn’thavebeentorestorelostmarketshare

– Buttobestrespondtocompe<<vepressureinordertomaximizeprofits

Page 8: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Rule3:Considereverything

•  Marke<ng•  Compe<<ve

•  Environmental

•  Justbecausethedatabaseis“big”doesn’tmeanincontainseverythingyouneed

•  Ifyouleavesomethingout,themodelisopentocri<cism

Page 9: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Rule4:Lookat–andunderstand–outliers

•  Outlierswreakhavoconmodels•  Inalmostallcases,there’sanexplana<on

– Strikes– Productrecalls– Weatherevents– Geopoli<calevents– Etc.

Page 10: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Rule5:Graphallrela<onships

•  Rela<onshipsareusuallymucheasiertoexplain–andgetclientbuy‐in–iftheycanbedemonstratedgraphically

Page 11: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Graphallrela<onships

•  Some<mes,explana<oniseasy

0

2

4

6

8

10

12

14

16

18

0.0

100.0

200.0

300.0

400.0

500.0

600.0

700.0

1 2 3 4 5 6 7 8 9101112131415161718192021222324252627282930313233343536

Promo<on Sales

Page 12: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Graphallrela<onships

•  Outliersusuallypopout

0

5

10

15

20

25

0.0

100.0

200.0

300.0

400.0

500.0

600.0

700.0

1 2 3 4 5 6 7 8 9101112131415161718192021222324252627282930313233343536

Promo<on Outlier Sales

Page 13: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Don’tshowconfusinggraphs

•  Ifsta<s<callysignificantrela<onshipsdon’tstandout

0

5

10

15

20

25

0.0

100.0

200.0

300.0

400.0

500.0

600.0

1 2 3 4 5 6 7 8 9101112131415161718192021222324252627282930313233343536

Sales Adver<sing

Page 14: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Makerela<onshipsclear

•  Dosomethingtomaketherela<onshipclear– Lag,smooth,transformoraggregatevariables

•  Inthisexample,AdBankisasmoothedadver<singseries[equivalenttoAdStock]

0.0

2.0

4.0

6.0

8.0

10.0

12.0

14.0

16.0

18.0

20.0

0.0

100.0

200.0

300.0

400.0

500.0

600.0

700.0

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35

Sales AdBank

Page 15: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Makerela<onshipsclear

•  Plotagainstresidualsoraddaddi<onalinforma<on,asnecessary

0

5

10

15

20

25

0.0

100.0

200.0

300.0

400.0

500.0

600.0

700.0

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35

Outlier Sales AdBank

Page 16: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Rule6:Neverpresentalinearmodel

•  Althoughlinearandnon‐linearmodelsyieldsimilarresultsintherangeofactualdata– Theycanbequitedifferentwhenextrapolated

600

800

1,000

1,200

1,400

1,600

1,800

2,000

$50 $150 $250 $350 $450

SalesVo

lume

Marke+ngExpenditures

LinearModel

Non‐LinearModel

Page 17: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Problemswithlinearmodels

•  Theworldisnon‐linear– Alleconomictheoryisbasedonadecliningreturntoscale

•  Linearmodelsleadtodangerousinterpreta<ons,suchas:– Whydon’twetripleadspending….–  Ifpromo<onhasahigherresponsethanadver<sing,whynotputeverythingintopromo<on

Page 18: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Problemswithlinearmodels

•  Inmyopinion,allregressionbasedmodelsshouldbelog‐log

Ln[Salest] = β0 + β1 Ln [Advt] + β2 Ln [Promot] + β3 Dummy + …..

Or

Salest = Exp[β0] x Exp[β3 x Dummy] x [Advt]β1 x [Promot]β2 x …

Page 19: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Rule7:Besurethemodelmakessense

•  Toyouandtotheclient– Avoidnega<vemarke<ngelas<ci<es

•  And[inmostcases]posi<vepriceelas<ci<es

– Beawareofthedifferencebetweenpriceandpromo<on

– Havestrongevidencebeforeyouchallengetheclient’sbasicassump<ons

•  Testallresults

Page 20: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Rule8:Usethemodeltoguidedecision‐making

•  UsethemodelresultstosimulateaP&L•  Evaluatealterna<vescenarios•  Considerpossiblecompe<<veac<ons

– Andreac<ons

Page 21: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Illustra<on:Laundrydetergent

•  Ourclient’sbrandwasthecategoryleaderfacingchallengefromheavilysupportedmul<‐na<onalbrand

•  Bothbrandswerespendingaboutthesameonbothadver<singandtradesupport

•  However,thetwobrandsrespondedquitedifferentlytomarke<ngandfolloweddis<nctlydifferentmarke<ngstrategies

Page 22: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Modelingresults

•  Bothbrandswereresponsivetoadver<sing– Client’sbrandwasmoreresponsive

•  Bothbrandswerealsoinfluencedbytradepromo<on– Promo<onaleffectsweresimilarforbothbrands

– Butcompe<<vepromo<onshadasubstan<aleffectwhichcouldeffec<velyoffsettheimpactoftheirownpromo<ons

Page 23: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Impactofadver<singonleader

•  Leaderwasinaposi<ontoincreaseshareatminimalcost

Advertising Market Share Profits

Current

Maximum

Page 24: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Impactofadver<singonchallenger

•  Challengerwasinvestmentspendingtobuyshare

Advertising Market Share Profits

Current

Maximum

Page 25: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Impactofleader’stradespending

•  Client’sbrandcouldmakeonlylimitedgainsbyincreasingtradesupport

Spending on Trade Support Category Leader Challenger

Current Maximum

Profi

ts

Page 26: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Impactofleader’stradespending•  Butnotifcompe<tormatchesspendingincreases

Current Maximum

Spending on Trade Support Category Leader Challenger

Profi

ts

Page 27: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Outcome

•  Categoryleaderincreasedadspending– Whilethechallengercon<nueditshighlevelofadsupport

•  Bothbrandscarefullyavoidedatradewar•  Asaresult,bothbrandsgrew

– Attheexpenseofthesmallerbrandsinthecategory

Page 28: Eight Praccal Rules for Building Markeng Mix Modelsnymetro.chapter.informs.org/prac_cor_pubs/06-2014 Howard Finkelb… · Modeling results • Both brands were responsive to adversing

Inconclusion

•  Ifyourclientsunderstandandbuyintoyourmodels– They’llusethem– Andprofitfromthem

•  Iftheydon’t– ………