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Copyright © 2003 Prentice-Hall, Inc.
5-1
Chapter 5Chapter 5
Gathering Information andGathering Information and
Measuring Market DemandMeasuring Market Demand
byby
Copyright © 2003 Prentice-Hall, Inc.
5-2
 Marketing Information System (MIS)Marketing Information System (MIS)
 10 useful questions for determining the10 useful questions for determining the
information needs of marketinginformation needs of marketing
managers.managers.
 What decisions do you regularly make?What decisions do you regularly make?
 What information do you need to make theseWhat information do you need to make these
decisions?decisions?
 What information do you regularly get?What information do you regularly get?
 What special studies do you periodically request?What special studies do you periodically request?
The Components of a Modern
Marketing Information System
Copyright © 2003 Prentice-Hall, Inc.
5-3
 What information would you want that you are notWhat information would you want that you are not
getting now?getting now?
 What information would you want daily? Weekly?What information would you want daily? Weekly?
Monthly? Yearly?Monthly? Yearly?
 What magazines and trade reports would you like toWhat magazines and trade reports would you like to
see on a regular basis?see on a regular basis?
 What topics would you like to be kept informed of?What topics would you like to be kept informed of?
 What data analysis programs would you want?What data analysis programs would you want?
 What are the four most helpful improvements thatWhat are the four most helpful improvements that
could be made in the present marketing informationcould be made in the present marketing information
system?system?
Copyright © 2003 Prentice-Hall, Inc.
5-4
Internal Record Systems
 The Order-to-Payment CycleThe Order-to-Payment Cycle
 Sales Information SystemsSales Information Systems
 Databases, Data WarehousesDatabases, Data Warehouses
And Data-MiningAnd Data-Mining
Copyright © 2003 Prentice-Hall, Inc.
5-5
The Marketing
Intelligence System
 A Marketing Intelligence SystemA Marketing Intelligence System
is a set of procedures and sourcesis a set of procedures and sources
used by managers to obtainused by managers to obtain
everyday information abouteveryday information about
developments in the marketingdevelopments in the marketing
environment.environment.
Copyright © 2003 Prentice-Hall, Inc.
5-6
Table 5-1: Secondary-Data Sources
Secondary-Secondary-
Data SourcesData Sources
A.A. Internal SourcesInternal Sources
Company profit-loss statements, balanceCompany profit-loss statements, balance
sheets, sales figures, sales-call reports,sheets, sales figures, sales-call reports,
invoices, inventory records, and priorinvoices, inventory records, and prior
research reports.research reports.
B.B. Government PublicationsGovernment Publications
• Statistical Abstract of the United StatesStatistical Abstract of the United States
• County and City Data BookCounty and City Data Book
• Industrial OutlookIndustrial Outlook
• Marketing Information GuideMarketing Information Guide
C.C. Periodicals and BooksPeriodicals and Books
• Business Periodicals IndexBusiness Periodicals Index
• Standard and Poor’s IndustryStandard and Poor’s Industry
See text for complete table
Copyright © 2003 Prentice-Hall, Inc.
5-7
Marketing Research System
 Marketing ResearchMarketing Research
 Suppliers of Marketing ResearchSuppliers of Marketing Research
 Engaging students or professors toEngaging students or professors to
design and carry out projectsdesign and carry out projects
 Using the InternetUsing the Internet
 Checking out rivalsChecking out rivals
 Syndicated-service research firmsSyndicated-service research firms
 Custom marketing research firmsCustom marketing research firms
 Specialty-line marketing researchSpecialty-line marketing research
firmsfirms
Copyright © 2003 Prentice-Hall, Inc.
5-8
Figure 5-1:
The Marketing
Research
Process
Copyright © 2003 Prentice-Hall, Inc.
5-9
 The Marketing Research ProcessThe Marketing Research Process
 Step 1: Define the Problem, theStep 1: Define the Problem, the
Decision Alternatives, and theDecision Alternatives, and the
Research ObjectivesResearch Objectives
 Step 2: Develop theStep 2: Develop the
Research PlanResearch Plan
 Data SourcesData Sources
 Research ApproachesResearch Approaches
 Observational researchObservational research
 Focus group researchFocus group research
Copyright © 2003 Prentice-Hall, Inc.
5-10
 Survey research
 Behavioral data
 Experimental research
 Research InstrumentsResearch Instruments
 QuestionnairesQuestionnaires
 Psychological toolsPsychological tools
 Mechanical devicesMechanical devices
 Quantitative measuresQuantitative measures
Copyright © 2003 Prentice-Hall, Inc.
5-11
Figure 5-2: Focus group research
Copyright © 2003 Prentice-Hall, Inc.
5-12
Table 5-2: Types of Questions
See text for complete table
1_____ 2 _____ 3_____ 4_____ 5_____1_____ 2 _____ 3_____ 4_____ 5_____
Small airlines generally give better service than large ones.Small airlines generally give better service than large ones.
Strongly Disagree Neither agree Agree StronglyStrongly Disagree Neither agree Agree Strongly
disagree nor disagree agreedisagree nor disagree agree
A statement with which the respondentA statement with which the respondent
shows the amount of agreement/shows the amount of agreement/
disagreement.disagreement.
Likert scaleLikert scale
An organized tour groupAn organized tour groupSpouse andSpouse and
childrenchildren
Business associates/friends/relativesBusiness associates/friends/relativesSpouseSpouse
Children onlyChildren onlyNo oneNo one
With whom are you traveling on this flight?With whom are you traveling on this flight?A question with three or more answers.A question with three or more answers.
MultipleMultiple
ChoiceChoice
In arranging this trip, did you personally phone American?In arranging this trip, did you personally phone American?
Yes NoYes No
A question with two possible answers.A question with two possible answers.DichotomousDichotomous
ExampleExampleDescriptionDescriptionNameName
A. Closed-end QuestionsA. Closed-end Questions
Copyright © 2003 Prentice-Hall, Inc.
5-13
Marketing Research System
 Sampling Plan
 Sampling unit
 Sample size
 Sampling procedure
Copyright © 2003 Prentice-Hall, Inc.
5-14
A.A. Probability SampleProbability Sample
Simple random sampleSimple random sample Every member of the population has anEvery member of the population has an
equal chance of selectionequal chance of selection
Stratified randomStratified random
samplesample
The population is divided into mutuallyThe population is divided into mutually
exclusive groups (such as age groups),exclusive groups (such as age groups),
and random samples are drawn fromand random samples are drawn from
each groupeach group
Cluster (area) sampleCluster (area) sample The population is divided into mutuallyThe population is divided into mutually
exclusive groups (such as city blocks),exclusive groups (such as city blocks),
and the researcher draws a sample ofand the researcher draws a sample of
the groups to interviewthe groups to interview
Table 5-3: Probability and Nonprobability Samples
Continued on next slide . . .
Copyright © 2003 Prentice-Hall, Inc.
5-15
B.B. NonprobabilityNonprobability
SampleSample
Convenience sampleConvenience sample The researcher selects the mostThe researcher selects the most
accessible population membersaccessible population members
Judgment sampleJudgment sample The researcher selects populationThe researcher selects population
members who are good prospects formembers who are good prospects for
accurate informationaccurate information
Quota sampleQuota sample The researcher finds and interviews aThe researcher finds and interviews a
prescribed number of people in each ofprescribed number of people in each of
several categoriesseveral categories
Table 5-3: Probability and Nonprobability Samples
(Continued)
Copyright © 2003 Prentice-Hall, Inc.
5-16
Marketing Research System
 Contact Methods
 Mail questionnaire
 Personal interviewing
 Arranged interviews
 Intercept interviews
 Online methods
 Click-stream
 Cookies
 Automated
telephone surveys
Copyright © 2003 Prentice-Hall, Inc.
5-17
Marketing Research System
 Step 3: Collect the
Information
 Step 4: Analyze the
Information
 Step 5: Present the
Findings
 Step 6: Make the
Decision
Copyright © 2003 Prentice-Hall, Inc.
5-18
Table 5-4: The Seven Characteristics of Good
Marketing Research
1. Scientific1. Scientific
methodmethod
Effective marketing research uses the principlesEffective marketing research uses the principles
of the scientific method: careful observation,of the scientific method: careful observation,
formulation of hypotheses, prediction, and testing.formulation of hypotheses, prediction, and testing.
2. Research2. Research
creativitycreativity
At its best, marketing research developsAt its best, marketing research develops
innovative ways to solve a problem: a clothinginnovative ways to solve a problem: a clothing
company catering to teenagers gave severalcompany catering to teenagers gave several
young men video cameras, then used the videosyoung men video cameras, then used the videos
for focus groups held in restaurants and otherfor focus groups held in restaurants and other
places teens frequent.places teens frequent.
3. Multiple3. Multiple
methodsmethods
Marketing researchers shy away from overrelianceMarketing researchers shy away from overreliance
on any one method. They also recognize the valueon any one method. They also recognize the value
of using two or three methods to increaseof using two or three methods to increase
confidence in the results.confidence in the results.
See text for complete table
Copyright © 2003 Prentice-Hall, Inc.
5-19
Marketing Research System
 Overcoming Barriers to the Use ofOvercoming Barriers to the Use of
Marketing ResearchMarketing Research
 A narrow conception of the researchA narrow conception of the research
 Uneven caliber of researchersUneven caliber of researchers
 Poor framing of the problemPoor framing of the problem
 Late and occasionally erroneous findingsLate and occasionally erroneous findings
 Personality and presentational differencesPersonality and presentational differences
Copyright © 2003 Prentice-Hall, Inc.
5-20
Marketing Decision Support
System
 Marketing Decision SupportMarketing Decision Support
System (MDSS)System (MDSS)
 Marketing and sales
software programs
 BRANDAID
 CALLPLAN
 DETAILER
 GEOLINE
 MEDIAC
 PROMOTER
 ADCAD
 CONVERSTORY
Copyright © 2003 Prentice-Hall, Inc.
5-21
Table 5-5: Quantitative Tools Used in Marketing Decision
Support Systems
Statistical ToolsStatistical Tools
1. Multiple1. Multiple
regression:regression:
A statistical technique for estimating a “best fitting”A statistical technique for estimating a “best fitting”
equation showing how the value of a dependent variableequation showing how the value of a dependent variable
varies with changing values in a number of independentvaries with changing values in a number of independent
variables.variables. ExampleExample: A company can estimate how unit: A company can estimate how unit
sales are influenced by changes in the level of companysales are influenced by changes in the level of company
advertising expenditures, sales force size, and price.advertising expenditures, sales force size, and price.
2. Discriminant2. Discriminant
analysis:analysis:
A statistical technique for classifying an object orA statistical technique for classifying an object or
persons into two or more categories.persons into two or more categories. ExampleExample: A large: A large
retail chain store can determine the variables thatretail chain store can determine the variables that
discriminate between successful and unsuccessful storediscriminate between successful and unsuccessful store
locations.locations.
3. Factor3. Factor
analysis:analysis:
A statistical technique used to determine the fewA statistical technique used to determine the few
underlying dimensions of a larger set of intercorrelatedunderlying dimensions of a larger set of intercorrelated
variables.variables. ExampleExample: A broadcast network can reduce a: A broadcast network can reduce a
large set of TV programs down to a small set of basiclarge set of TV programs down to a small set of basic
program types.program types.
See text for complete table
Copyright © 2003 Prentice-Hall, Inc.
5-22
Forecasting and Demand
Measurement
 The Measures of Market DemandThe Measures of Market Demand
Figure 5-3: Ninety
Types of Demand
Measurement
(6X5X3)
Copyright © 2003 Prentice-Hall, Inc.
5-23
 Which Market to
Measure?
 Market
 Potential market
 Available market
 Target market
(severed market)
 Penetrated market
 A Vocabulary for Demand Measurement
 Market Demand
 Market share
 Market penetration index
 Share penetration index
Forecasting and
Demand Measurement
Copyright © 2003 Prentice-Hall, Inc.
5-24
Figure 5-4: Market Demand Functions
Copyright © 2003 Prentice-Hall, Inc.
5-25
Forecasting and Demand
Measurement
 Market ForecastMarket Forecast
 Market PotentialMarket Potential
 Product penetrationProduct penetration
percentagepercentage
 Company DemandCompany Demand
 Company SalesCompany Sales
ForecastForecast
 Sales quotaSales quota
 Sales budgetSales budget
 Company Sales PotentialCompany Sales Potential
Copyright © 2003 Prentice-Hall, Inc.
5-26
 Estimating Current demandEstimating Current demand
 Total Market PotentialTotal Market Potential
 Area Market PotentialArea Market Potential
 Market-Buildup MethodMarket-Buildup Method
Forecasting and Demand
Measurement
Copyright © 2003 Prentice-Hall, Inc.
5-27
Table 5-6: Market-Buildup Method Using SIC Codes
SICSIC
(a)(a)
AnnualAnnual
Sales inSales in
MillionsMillions
of $of $
(b)(b)
Number ofNumber of
EstablishmentsEstablishments
(c)(c)
PotentialPotential
NumberNumber
of Lathe Salesof Lathe Sales
Per $1 MillionPer $1 Million
Customer SalesCustomer Sales
MarketMarket
PotentialPotential
(a x b x c)(a x b x c)
25112511
11 66 1010 6060
55 22 1010 100100
25212521 11 33 55 1515
55 11 55 2525
3030 200200
Copyright © 2003 Prentice-Hall, Inc.
5-28
Forecasting and Demand
Measurement
 Multiple-Factor Index
Method
 Brand developmentBrand development
index (BDI)index (BDI)
Copyright © 2003 Prentice-Hall, Inc.
5-29
Table 5-7: Calculating the Brand
Development Index (BDI)
(a)(a)
Percent ofPercent of
U.S. BrandU.S. Brand
(b)(b)
Percent ofPercent of
U.S. CategoryU.S. Category BDIBDI
TerritoryTerritory SalesSales SalesSales (a(a ÷÷ b) x 100b) x 100
SeattleSeattle 3.093.09 2.712.71 114114
PortlandPortland 6.746.74 10.4110.41 6565
BostonBoston 3.493.49 3.853.85 9191
ToledoToledo .97.97 .81.81 120120
ChicagoChicago 1.131.13 .81.81 140140
BaltimoreBaltimore 3.123.12 3.003.00 104104
Copyright © 2003 Prentice-Hall, Inc.
5-30
Forecasting and Demand
Measurement
 Industry Sales and Market Shares
 Estimating Future Demand
 Survey of Buyers’ Intentions
 Forecasting
 Purchase probability scale
Copyright © 2003 Prentice-Hall, Inc.
5-31
Forecasting and Demand
Measurement
 Composite of Sales Force Opinions
 Expert Opinion
 Group discussion method
 Pooling of individual estimates
 Past-Sales Analysis
 Time-series analysis
 Exponential smoothing
 Statistical demand analysis
 Econometric analysis
 Market-Test Method

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Gathering Information and Measuring Market Demand

  • 1. Copyright © 2003 Prentice-Hall, Inc. 5-1 Chapter 5Chapter 5 Gathering Information andGathering Information and Measuring Market DemandMeasuring Market Demand byby
  • 2. Copyright © 2003 Prentice-Hall, Inc. 5-2  Marketing Information System (MIS)Marketing Information System (MIS)  10 useful questions for determining the10 useful questions for determining the information needs of marketinginformation needs of marketing managers.managers.  What decisions do you regularly make?What decisions do you regularly make?  What information do you need to make theseWhat information do you need to make these decisions?decisions?  What information do you regularly get?What information do you regularly get?  What special studies do you periodically request?What special studies do you periodically request? The Components of a Modern Marketing Information System
  • 3. Copyright © 2003 Prentice-Hall, Inc. 5-3  What information would you want that you are notWhat information would you want that you are not getting now?getting now?  What information would you want daily? Weekly?What information would you want daily? Weekly? Monthly? Yearly?Monthly? Yearly?  What magazines and trade reports would you like toWhat magazines and trade reports would you like to see on a regular basis?see on a regular basis?  What topics would you like to be kept informed of?What topics would you like to be kept informed of?  What data analysis programs would you want?What data analysis programs would you want?  What are the four most helpful improvements thatWhat are the four most helpful improvements that could be made in the present marketing informationcould be made in the present marketing information system?system?
  • 4. Copyright © 2003 Prentice-Hall, Inc. 5-4 Internal Record Systems  The Order-to-Payment CycleThe Order-to-Payment Cycle  Sales Information SystemsSales Information Systems  Databases, Data WarehousesDatabases, Data Warehouses And Data-MiningAnd Data-Mining
  • 5. Copyright © 2003 Prentice-Hall, Inc. 5-5 The Marketing Intelligence System  A Marketing Intelligence SystemA Marketing Intelligence System is a set of procedures and sourcesis a set of procedures and sources used by managers to obtainused by managers to obtain everyday information abouteveryday information about developments in the marketingdevelopments in the marketing environment.environment.
  • 6. Copyright © 2003 Prentice-Hall, Inc. 5-6 Table 5-1: Secondary-Data Sources Secondary-Secondary- Data SourcesData Sources A.A. Internal SourcesInternal Sources Company profit-loss statements, balanceCompany profit-loss statements, balance sheets, sales figures, sales-call reports,sheets, sales figures, sales-call reports, invoices, inventory records, and priorinvoices, inventory records, and prior research reports.research reports. B.B. Government PublicationsGovernment Publications • Statistical Abstract of the United StatesStatistical Abstract of the United States • County and City Data BookCounty and City Data Book • Industrial OutlookIndustrial Outlook • Marketing Information GuideMarketing Information Guide C.C. Periodicals and BooksPeriodicals and Books • Business Periodicals IndexBusiness Periodicals Index • Standard and Poor’s IndustryStandard and Poor’s Industry See text for complete table
  • 7. Copyright © 2003 Prentice-Hall, Inc. 5-7 Marketing Research System  Marketing ResearchMarketing Research  Suppliers of Marketing ResearchSuppliers of Marketing Research  Engaging students or professors toEngaging students or professors to design and carry out projectsdesign and carry out projects  Using the InternetUsing the Internet  Checking out rivalsChecking out rivals  Syndicated-service research firmsSyndicated-service research firms  Custom marketing research firmsCustom marketing research firms  Specialty-line marketing researchSpecialty-line marketing research firmsfirms
  • 8. Copyright © 2003 Prentice-Hall, Inc. 5-8 Figure 5-1: The Marketing Research Process
  • 9. Copyright © 2003 Prentice-Hall, Inc. 5-9  The Marketing Research ProcessThe Marketing Research Process  Step 1: Define the Problem, theStep 1: Define the Problem, the Decision Alternatives, and theDecision Alternatives, and the Research ObjectivesResearch Objectives  Step 2: Develop theStep 2: Develop the Research PlanResearch Plan  Data SourcesData Sources  Research ApproachesResearch Approaches  Observational researchObservational research  Focus group researchFocus group research
  • 10. Copyright © 2003 Prentice-Hall, Inc. 5-10  Survey research  Behavioral data  Experimental research  Research InstrumentsResearch Instruments  QuestionnairesQuestionnaires  Psychological toolsPsychological tools  Mechanical devicesMechanical devices  Quantitative measuresQuantitative measures
  • 11. Copyright © 2003 Prentice-Hall, Inc. 5-11 Figure 5-2: Focus group research
  • 12. Copyright © 2003 Prentice-Hall, Inc. 5-12 Table 5-2: Types of Questions See text for complete table 1_____ 2 _____ 3_____ 4_____ 5_____1_____ 2 _____ 3_____ 4_____ 5_____ Small airlines generally give better service than large ones.Small airlines generally give better service than large ones. Strongly Disagree Neither agree Agree StronglyStrongly Disagree Neither agree Agree Strongly disagree nor disagree agreedisagree nor disagree agree A statement with which the respondentA statement with which the respondent shows the amount of agreement/shows the amount of agreement/ disagreement.disagreement. Likert scaleLikert scale An organized tour groupAn organized tour groupSpouse andSpouse and childrenchildren Business associates/friends/relativesBusiness associates/friends/relativesSpouseSpouse Children onlyChildren onlyNo oneNo one With whom are you traveling on this flight?With whom are you traveling on this flight?A question with three or more answers.A question with three or more answers. MultipleMultiple ChoiceChoice In arranging this trip, did you personally phone American?In arranging this trip, did you personally phone American? Yes NoYes No A question with two possible answers.A question with two possible answers.DichotomousDichotomous ExampleExampleDescriptionDescriptionNameName A. Closed-end QuestionsA. Closed-end Questions
  • 13. Copyright © 2003 Prentice-Hall, Inc. 5-13 Marketing Research System  Sampling Plan  Sampling unit  Sample size  Sampling procedure
  • 14. Copyright © 2003 Prentice-Hall, Inc. 5-14 A.A. Probability SampleProbability Sample Simple random sampleSimple random sample Every member of the population has anEvery member of the population has an equal chance of selectionequal chance of selection Stratified randomStratified random samplesample The population is divided into mutuallyThe population is divided into mutually exclusive groups (such as age groups),exclusive groups (such as age groups), and random samples are drawn fromand random samples are drawn from each groupeach group Cluster (area) sampleCluster (area) sample The population is divided into mutuallyThe population is divided into mutually exclusive groups (such as city blocks),exclusive groups (such as city blocks), and the researcher draws a sample ofand the researcher draws a sample of the groups to interviewthe groups to interview Table 5-3: Probability and Nonprobability Samples Continued on next slide . . .
  • 15. Copyright © 2003 Prentice-Hall, Inc. 5-15 B.B. NonprobabilityNonprobability SampleSample Convenience sampleConvenience sample The researcher selects the mostThe researcher selects the most accessible population membersaccessible population members Judgment sampleJudgment sample The researcher selects populationThe researcher selects population members who are good prospects formembers who are good prospects for accurate informationaccurate information Quota sampleQuota sample The researcher finds and interviews aThe researcher finds and interviews a prescribed number of people in each ofprescribed number of people in each of several categoriesseveral categories Table 5-3: Probability and Nonprobability Samples (Continued)
  • 16. Copyright © 2003 Prentice-Hall, Inc. 5-16 Marketing Research System  Contact Methods  Mail questionnaire  Personal interviewing  Arranged interviews  Intercept interviews  Online methods  Click-stream  Cookies  Automated telephone surveys
  • 17. Copyright © 2003 Prentice-Hall, Inc. 5-17 Marketing Research System  Step 3: Collect the Information  Step 4: Analyze the Information  Step 5: Present the Findings  Step 6: Make the Decision
  • 18. Copyright © 2003 Prentice-Hall, Inc. 5-18 Table 5-4: The Seven Characteristics of Good Marketing Research 1. Scientific1. Scientific methodmethod Effective marketing research uses the principlesEffective marketing research uses the principles of the scientific method: careful observation,of the scientific method: careful observation, formulation of hypotheses, prediction, and testing.formulation of hypotheses, prediction, and testing. 2. Research2. Research creativitycreativity At its best, marketing research developsAt its best, marketing research develops innovative ways to solve a problem: a clothinginnovative ways to solve a problem: a clothing company catering to teenagers gave severalcompany catering to teenagers gave several young men video cameras, then used the videosyoung men video cameras, then used the videos for focus groups held in restaurants and otherfor focus groups held in restaurants and other places teens frequent.places teens frequent. 3. Multiple3. Multiple methodsmethods Marketing researchers shy away from overrelianceMarketing researchers shy away from overreliance on any one method. They also recognize the valueon any one method. They also recognize the value of using two or three methods to increaseof using two or three methods to increase confidence in the results.confidence in the results. See text for complete table
  • 19. Copyright © 2003 Prentice-Hall, Inc. 5-19 Marketing Research System  Overcoming Barriers to the Use ofOvercoming Barriers to the Use of Marketing ResearchMarketing Research  A narrow conception of the researchA narrow conception of the research  Uneven caliber of researchersUneven caliber of researchers  Poor framing of the problemPoor framing of the problem  Late and occasionally erroneous findingsLate and occasionally erroneous findings  Personality and presentational differencesPersonality and presentational differences
  • 20. Copyright © 2003 Prentice-Hall, Inc. 5-20 Marketing Decision Support System  Marketing Decision SupportMarketing Decision Support System (MDSS)System (MDSS)  Marketing and sales software programs  BRANDAID  CALLPLAN  DETAILER  GEOLINE  MEDIAC  PROMOTER  ADCAD  CONVERSTORY
  • 21. Copyright © 2003 Prentice-Hall, Inc. 5-21 Table 5-5: Quantitative Tools Used in Marketing Decision Support Systems Statistical ToolsStatistical Tools 1. Multiple1. Multiple regression:regression: A statistical technique for estimating a “best fitting”A statistical technique for estimating a “best fitting” equation showing how the value of a dependent variableequation showing how the value of a dependent variable varies with changing values in a number of independentvaries with changing values in a number of independent variables.variables. ExampleExample: A company can estimate how unit: A company can estimate how unit sales are influenced by changes in the level of companysales are influenced by changes in the level of company advertising expenditures, sales force size, and price.advertising expenditures, sales force size, and price. 2. Discriminant2. Discriminant analysis:analysis: A statistical technique for classifying an object orA statistical technique for classifying an object or persons into two or more categories.persons into two or more categories. ExampleExample: A large: A large retail chain store can determine the variables thatretail chain store can determine the variables that discriminate between successful and unsuccessful storediscriminate between successful and unsuccessful store locations.locations. 3. Factor3. Factor analysis:analysis: A statistical technique used to determine the fewA statistical technique used to determine the few underlying dimensions of a larger set of intercorrelatedunderlying dimensions of a larger set of intercorrelated variables.variables. ExampleExample: A broadcast network can reduce a: A broadcast network can reduce a large set of TV programs down to a small set of basiclarge set of TV programs down to a small set of basic program types.program types. See text for complete table
  • 22. Copyright © 2003 Prentice-Hall, Inc. 5-22 Forecasting and Demand Measurement  The Measures of Market DemandThe Measures of Market Demand Figure 5-3: Ninety Types of Demand Measurement (6X5X3)
  • 23. Copyright © 2003 Prentice-Hall, Inc. 5-23  Which Market to Measure?  Market  Potential market  Available market  Target market (severed market)  Penetrated market  A Vocabulary for Demand Measurement  Market Demand  Market share  Market penetration index  Share penetration index Forecasting and Demand Measurement
  • 24. Copyright © 2003 Prentice-Hall, Inc. 5-24 Figure 5-4: Market Demand Functions
  • 25. Copyright © 2003 Prentice-Hall, Inc. 5-25 Forecasting and Demand Measurement  Market ForecastMarket Forecast  Market PotentialMarket Potential  Product penetrationProduct penetration percentagepercentage  Company DemandCompany Demand  Company SalesCompany Sales ForecastForecast  Sales quotaSales quota  Sales budgetSales budget  Company Sales PotentialCompany Sales Potential
  • 26. Copyright © 2003 Prentice-Hall, Inc. 5-26  Estimating Current demandEstimating Current demand  Total Market PotentialTotal Market Potential  Area Market PotentialArea Market Potential  Market-Buildup MethodMarket-Buildup Method Forecasting and Demand Measurement
  • 27. Copyright © 2003 Prentice-Hall, Inc. 5-27 Table 5-6: Market-Buildup Method Using SIC Codes SICSIC (a)(a) AnnualAnnual Sales inSales in MillionsMillions of $of $ (b)(b) Number ofNumber of EstablishmentsEstablishments (c)(c) PotentialPotential NumberNumber of Lathe Salesof Lathe Sales Per $1 MillionPer $1 Million Customer SalesCustomer Sales MarketMarket PotentialPotential (a x b x c)(a x b x c) 25112511 11 66 1010 6060 55 22 1010 100100 25212521 11 33 55 1515 55 11 55 2525 3030 200200
  • 28. Copyright © 2003 Prentice-Hall, Inc. 5-28 Forecasting and Demand Measurement  Multiple-Factor Index Method  Brand developmentBrand development index (BDI)index (BDI)
  • 29. Copyright © 2003 Prentice-Hall, Inc. 5-29 Table 5-7: Calculating the Brand Development Index (BDI) (a)(a) Percent ofPercent of U.S. BrandU.S. Brand (b)(b) Percent ofPercent of U.S. CategoryU.S. Category BDIBDI TerritoryTerritory SalesSales SalesSales (a(a ÷÷ b) x 100b) x 100 SeattleSeattle 3.093.09 2.712.71 114114 PortlandPortland 6.746.74 10.4110.41 6565 BostonBoston 3.493.49 3.853.85 9191 ToledoToledo .97.97 .81.81 120120 ChicagoChicago 1.131.13 .81.81 140140 BaltimoreBaltimore 3.123.12 3.003.00 104104
  • 30. Copyright © 2003 Prentice-Hall, Inc. 5-30 Forecasting and Demand Measurement  Industry Sales and Market Shares  Estimating Future Demand  Survey of Buyers’ Intentions  Forecasting  Purchase probability scale
  • 31. Copyright © 2003 Prentice-Hall, Inc. 5-31 Forecasting and Demand Measurement  Composite of Sales Force Opinions  Expert Opinion  Group discussion method  Pooling of individual estimates  Past-Sales Analysis  Time-series analysis  Exponential smoothing  Statistical demand analysis  Econometric analysis  Market-Test Method