Development and demonstration of a customer super-profiling tool to enable efficient targeting in marketing campaigns
Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
South African Institute for Industrial Engineering
Abstract
ENGLISH ABSTRACT: Being part of a competitive generation demands having good marketing policies to attract new customers as well as to retain existing customers. This research outlines a general methodology for segmentation of customers by using the model of Recency, Frequency and Monetary (RFM) to identify types of customers, and then predict their customer profiles, based on demographic and behavioural features. A few previous studies dealt with the question using non-aggregate customer data. We, however, also address the problem by using decision trees, something which has rarely been done before. We applied and demonstrated this tool on a large customer dataset and found useful results.
Description
CITATION: Walters, M. & Bekker, J. 2018. Development and demonstration of a customer super-profiling tool to enable efficient targeting in marketing campaigns. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa.
The original publication is available at https://conferences.sun.ac.za/index.php/saiie29/saiie29/schedConf/presentations
The original publication is available at https://conferences.sun.ac.za/index.php/saiie29/saiie29/schedConf/presentations
Keywords
Data sets, Acquisition of data sets, Marketing -- Campaigns, Customers (consumers) -- Profiling
Citation
Walters, M. & Bekker, J. 2018. Development and demonstration of a customer super-profiling tool to enable efficient targeting in marketing campaigns. In SAIIE29 Proceedings, 24-26 October 2018, Spier, Stellenbosch, South Africa