Optimizing Rhenania's mail-order business through dynamic multilevel modeling

Optimizing Rhenania's mail-order business through dynamic multilevel modeling

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Article ID: iaor2004246
Country: United States
Volume: 33
Issue: 1
Start Page Number: 50
End Page Number: 66
Publication Date: Jan 2003
Journal: Interfaces
Authors: , ,
Keywords: behaviour, statistics: general
Abstract:

Rhenania, a German direct mail-order company, turned its catalog mailing practices around within one year and consequently moved up in market position from number 5 to number 2. A dynamic multilevel modeling (DMLM) approach uses elasticities to determine the optimal frequency of catalog mailings, a customer-segmentation approach allows for optimization of mailings, and a recency, frequency, monetary-value segmentation in combination with a chi-square automatic interaction detection algorithm determines when customers should receive a reactivation package – as opposed to a catalog – to optimize mailing efficiency further. The DMLM approach was so effective that Rhenania acquired two competitors (one a subdivision of Springer Verlag).

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