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Analytics for Customer Engagement
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DOI：10.1177/1094670510375603.png)
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Abstract
En 中文
In this article, we discuss the state of the art of models for customer engagement and the problems that are inherent to calibrating and implementing these models. The authors first provide an overview of the data available for customer analytics and discuss recent developments. Next, the authors discuss the models used for studying customer engagement, where they distinguish the following stages: customer acquisition, customer development, and customer retention. Finally, they discuss several organizational issues of analytics for customer engagement, which constitute barriers for introducing analytics for customer engagement.
Keywords:
analytic models
customer equity
customer management
data mining
decision trees
probability models
word of mouth
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