Optimizing Response Functions of Media Exposure Distributions

The object of this paper is to show how to maximize the expected response of an advertising campaign, subject to a budget constraint. Four response functions are considered with closed-form solutions given for the resulting expected responses. These expected responses use only univariate marginal di...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of the Operational Research Society Vol. 42; no. 7; pp. 537 - 542
Main Author: Danaher, Peter J.
Format: Journal Article
Language:English
Published: London Taylor & Francis 01.07.1991
Macmillan Press
Palgrave Macmillan UK
Palgrave
Pergamon Press
Taylor & Francis Ltd
Subjects:
ISSN:0160-5682, 1476-9360
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The object of this paper is to show how to maximize the expected response of an advertising campaign, subject to a budget constraint. Four response functions are considered with closed-form solutions given for the resulting expected responses. These expected responses use only univariate marginal distributions and pairwise duplications, so they can be rapidly calculated compared with the usual cumbersome calculation based on the full frequency distribution. A simple heuristic solution to the formulated non-linear integer programming problem is given, resulting in big savings in computation time over the branch-and-bound technique, for example.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ISSN:0160-5682
1476-9360
DOI:10.1057/jors.1991.112