1-1 McGraw-Hill/Irwin ©2008 The McGraw-Hill Companies, All Rights Reserved C H A P T E R FIVE Measuring Market Opportunities: Forecasting and Market Knowledge 5
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1-3 Discussion Question 1. Of the two main approaches for sales forecasting - top- down and bottom-up - which is better?
1-4 Discussion Question 2. What are the advantages and limitations of the various evidence-based forecasting methods?
1-5 6 methods Statistical methods Regression analysis (Michelin Asia) Averages Exponential Smoothing Models Conjoint AnalysisAnalysis Observation How many minutes per day the typical pay phone was used
1-6 Surveys Survey of buyers’ intention Survey of Salesforce opinion Focus Groups Analogy Danone new flavor HDTV Judgment Executive Judgment Delphi Technique
1-7 Market teststests Experimental Live
1-8 Discussion Question 3. How does one go from methods to math? Chain ratio method Brand or category indices
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1-11 Ideas for new products or new ventures: How do we know how fast customers will adopt? Source: Adapted with permission from Marketing, 11/e, Acetate 8-8, by Michael J. Etzel, Bruce J. Walker, and William J. Stanton. The McGraw-Hill Companies, Inc. © All rights reserved.
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1-15 The risk Relative advantage Relative simplicity Compatibility The ease of Trial The ease of communication
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1-17 Discussion Question 4. How fast will the adoption curve move for a particular innovation?
1-18 Discussion Question 5. What makes for good forecasting? What are common pitfalls? Anchored Capacity constraints Incentive plans
1-19 Discussion Question 6.Where does the market knowledge come from to help us assess markets and industries, understand buyer behavior, and prepare forecasts?
1-20 Internal Records Systems Marketing Databases Competitive Intelligence Systems Client contact & Sales force automation systems
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1-27 Discussion Question 7. What questions should informed users of marketing research ask, before approving a study?
1-28 What are the objectives of the research? Are the data sources appropriate? (other better data available) Qualitative versus Quantitative Research well designed? Planned analyses appropriate? (specified before research started)