Pre-Test-Market Models: Validation and Managerial Implications
1983 ◽
Vol 20
(3)
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pp. 221-234
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Keyword(s):
The predictive accuracy of a widely used pre-test-market model (ASSESSOR) is analyzed. The standard deviation between pre-test-market and test-market shares is 1.99 share points before adjustments for achieved awareness, distribution, and sampling and 1.12 share points after adjustment. Sixty-three percent of those products tested passed the pre-test screen and 66% of these were subsequently successful in test market. A Bayesian decision analysis model is formulated and a “typical” case shows a positive value of information. Although some conditions are identified under which a test market may be bypassed, in the authors’ opinion both pre-test and test-market procedures should be used in all but exceptional situations.
Keyword(s):
1999 ◽
Vol 29
(6)
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pp. 958-972
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2017 ◽
Vol 168
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pp. 410-419
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Keyword(s):
2003 ◽
Vol 10
(3)
◽
pp. 546-556
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