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Group 3 Alfredo Barragan Irys Citko Justin Copeland Michael McGee Crystal Russell. The Nature of Marketing Productivity Hawkins et al. Overview. Background on Authors Article Introduction Review and Critique Main Ideas Questions. Del I. Hawkins.
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Group 3 Alfredo Barragan IrysCitko Justin Copeland Michael McGee Crystal Russell The Nature of Marketing ProductivityHawkins et al.
Overview • Background on Authors • Article Introduction • Review and Critique Main Ideas • Questions
Del I. Hawkins • Professor of Marketing and Head of the Marketing Department at the University of Oregon • Ph. D. from University of Texas at Austin • Published author in Journal of Academy of Marketing Science, Journal of Marketing, Journal of Marketing Research, Journal of Advertising Research, Journal of Retailing and Journal of the Market Research Society • Co-Authored two textbooks: Consumer Behavior: Implications for Marketing Strategy (3rd. ed) and Marketing Research: Method and Measurement (4th ed.)
Roger J. Best • Associate Professor of Marketing and the University of Oregon • Bachelor of Science in Electrical Engineering from California State Polytechnic University • MBA from California State University • Ph. D. from the University of Oregon • Published in Journal of Academy of Marketing Science, Journal of Marketing, Journal of Marketing Research, Journal of Advertising Research, Journal of Retailing and Journal of the Market Research Society • Co-Authored the textbook, Consumer Behavior: Implications for Marketing Strategy (3rd. ed) • Worked with a variety of companies in both marketing consulting and management education; companies to include including the General Electric Company, U S West, Eastman Kodak Company, Lucas Industries, Tektronix Corporation, ESCO Corporation, Pacific Western Pipe, and James Hardie Industries • Conducted many executive management education programs at INSEAD, located in Fontainebleau, France. • Developed the Marketing Excellence Survey, an assessment tool for measuring an individual's marketing knowledge and market orientation. Also developed a business simulation called BIDSTRAT that requires business teams to develop global marketing strategies in high-technology industries.
Charles M. Lillis • Vice President of Strategic Marketing US WEST Inc. • Ph. D. From University of Oregon • Published in academic journals • Former Dean of the College of Business at the University of Colorado • Served as a Marketing Executive for General Electric and DuPont • Co-Founder and Managing Partner of Castle Pines Capital, LLC • General Partner of LoneTree Capital Management • Director of SUPERVALU in 1995 • Director of Medco Health Solutions; Washington Mutual Inc. and Williams Companies, Inc
Introduction • A major concern in America has become improving productivity.
Purpose of the Article • Develop a managerially relevant concept of • Marketing productivity • Operational Measurement • Enviornmental benchmarking to which to compare to marketing productivity of several businesses
Marketing Productivity • Productivity Ratio Activity Output / Activity Input • Marketing Productivity = Marketing Output / Marketing Input • Problem with this Model • Simple yet Complex
Marketing Output • Consumer/Society Viewpoint • Managerial Perspective • “What does top management expect the marketing function to deliver?” • Market Share • Sales / Total Sales in Relevant Market • Relative Market Share • Sales / Sales of one or more of MAINcompetitors • Relative Price Level • Firm’s price level stated in relation to its major competitors. • Marketing Output = (Relative Market Share) X (Relative Price)
Marketing Input • Marketing Cost • What is considered a marketing cost? • Measuring Marketing Cost • Absolute dollar amount • Relative to sales • Marketing Input = Marketing Expenditures / Sales
Marketing Productivity • = Relative Market Share X Relative Price Marketing Expenditures / Sales • “The market position that a firm obtains from a given allocation of its resources.”
Marketing Productivity ScoreMPS • Calculated by using specific variables • When presented alone, there is no meaning • Information can be misleading • Compared to competition • Compared to a firm’s history
Marketing Productivity Index MPI • Predicted score is the marketing productivity index. • Requires explicit consideration of uncontrollable external variables • Allows a firm to compare performance relative to what it “should be “ in its environment • Accounts for environmental influences
Drawbacks/Limitation • Informational Database • Specific Operational Environment • Inability to define changes
Profit Impact of Market Strategies • Relative Market Share • Relative Price • Marketing Cost • Sales • Relative Product Breadth • Number of Competitors • Relative Product Quality • Relative Customer Size Range • Served Market Growth • Number of Immediate Customers • Purchase Amounts Immediate Customers • Customization • Importance of Auxiliary Service to End Users • Frequency of Product Changes
Database • PIMS Database • Information Gathering • Information Display
Specific Environment • Consistent Economic Environment • Use of Averages • Marketing Time Frame
Defining Changes • Marketing Productivity Score • Changes in MPS
New Markets? • Durables • Nondurables • Service • Retail
Hawkins Model Critique • Always mention good points first, unique incremental (contributions) they have done. • Use a date base that is credible, and use good companies. • Use pioneering articles first to measure Mp giving validity.
Hawkins Model Critique • 10 Variables is a significant number. • Use durables only • 2 groups of industry rather than individual projects.
Marketing Productivity Model Split • Why did they split ? • They split because they wanted to see efficiency of the results. • Nondurable and durable goods • Notion of market productivity Both Efficiency and Effectiveness • Results indicated the overall model was reasonably stable.
Implications • Formulate marketing performance objectives in terms of relative share and relative price. • Strive for effectiveness, then efficiency • Different perspective • Multiple metrics • Long term impacts
Questions ???