Testing new direct marketing offerings: the interplay of management judgment and statistical models
Article Abstract:
A study was conducted to analyze the influence of managers' decisions associated with the design of tests on launching new products or services via direct marketing. The new product offering tests were supported by decisions that accommodated a segmentation scheme, a sampling plan and segment response rate projections. The performance of managers' judgments were evaluated against the accuracy resulting from direct marketing responses. Other propositions associated with the tasks expected from managers were also analyzed in the study. Results showed that an appropriate mix of management judgment and statistical frameworks can successfully increase profits related to new direct marketing offerings.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1998
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Combining forecasts: operational adjustments to theoretically optimal rules.
Article Abstract:
R.L. Winkler's (1985) formula for the optimal combination of forecasts is optimal in theory, but a more effective method of combining forecasts can be obtained. The optimality of Winkler's formula depends on knowledge of the variances and covariances of the individual forecasts, which can only be estimated from previous forecasts. An operationally optimal combination of forecasts can be obtained by using a heuristic based on H. Akaike's Information Criterion (1974), which can be used to determine the parameter estimates that should be used in combined forecasts.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1990
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Counting your customers: who are they and what will they do next?
Article Abstract:
A mathematical model is presented for assessing the likelihood that a customer with set transaction patterns is still active. The model is also designed to determine how many customers a firm has, to what extent its customer base has grown, what individuals are most likely to be active or inactive customers, and what individual and collective transaction levels can be anticipated. The information obtained can be helpful in evaluating the success of a new product and for targeting customer subgroups for promotions and advertising.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1987
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