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Use of Bayesian Decision Analysis to Assess if Conducting Marketing Research is Worthwhile

Explore the use of Bayesian decision analysis to determine if conducting marketing research is worthwhile. This study analyzes decision trees, payoff tables, and conditional probabilities to make optimal choices and revise prior probabilities based on test market results and research information.

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Use of Bayesian Decision Analysis to Assess if Conducting Marketing Research is Worthwhile

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  1. Use of Bayesian Decision Analysis to Assess if Conducting Marketing Researchis Worthwhile Dr. Michael R. Hyman

  2. Reading (from Dillon, Madden, and Firtle (1990)

  3. Decision Tree

  4. Payoff Table for Pricing Decision Prior probabilities Example #1 Optimal choice without additional research information Table contains alternatives, states of nature, and consequences

  5. Conditional Probability of Getting Each Test Market Result Given Each State of NatureRead by Row (Zk) within Column (Sj)

  6. Revision of Prior Probabilities in Light of Possible Test Market Results Sj = State of Nature; Zk = Level of Success in Test Notice difference in revised (post-research) distribution of demand probabilities Σ=1.0

  7. Optimal choice if test market result is Z1 Optimal choice if test market result is Z2 Optimal choice if test market result is Z3

  8. Example #2

  9. Solution to Example #2

  10. Revision of Prior Probabilities in Light of Research Information that Surveys Unlimited Might Provide

  11. Example #3—You Solve

  12. Study Questions

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