  For a successful business, engaging in an effective campaign is a key task
for marketers. Most previous studies used various mathematical models to
segment customers without considering the correlation between customer
segmentation and a campaign. This work presents a conceptual model by studying
the significant campaign-dependent variables of customer targeting in customer
segmentation context. In this way, the processes of customer segmentation and
targeting thus can be linked and solved together. The outcomes of customer
segmentation of this study could be more meaningful and relevant for marketers.
This investigation applies a customer life time value (LTV) model to assess the
fitness between targeted customer groups and marketing strategies. To integrate
customer segmentation and customer targeting, this work uses the genetic
algorithm (GA) to determine the optimized marketing strategy. Later, we suggest
using C&RT (Classification and Regression Tree) in SPSS PASW Modeler as the
replacement to Genetic Algorithm technique to accomplish these results. We also
suggest using LOSSYCOUNTING and Counting Bloom Filter to dynamically design the
right and up-to-date offer to the right customer.
