A Detection Model of Customer Alive in Information Management Application

Hui Hsin Huang

doi:10.4028/www.scientific.net/AMR.684.505

Paper Titles

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Image Fusion Method Based on Universal Hidden Markov Tree Model in the Contourlet Domain
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Evaluation Method for Band Selection Algorithms of Hyperspectral Image
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Efficient Beacon Collision Detection/Avoidance Mechanism in WLAN-Based Mesh Networks
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A Detection Model of Customer Alive in Information Management Application
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An Android-Based Interactive Museum Exhibit System Using Wireless Sensing and Augmented Reality Technologies
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Using Portable-Profile to Support Context-Aware Services in the UPnP Networks
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Electric Field Uniformity Characteristic of a Reverberation Chamber with a Composite QRD
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A Study of Biorthogonal Four-Variable Wavelet Wraps with Three-Scale and Applications in Finance Management
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 684A Detection Model of Customer Alive in Information...

A Detection Model of Customer Alive in Information Management Application

Abstract:

In recent years, improvements in information technology have resulted in the increased availability of customer transaction data. This trend is closely linked to an ever-growing desire on the part of the marketing manager to use the firm's customer transaction databases to detect the customer is still alive or has been churn out. This research proposes a stochastic model for information managers to estimate the recency length of customers and predict the next purchase time length after the observation period end. This paper conducts exponetail distribution as interpurchase time and calculates its recency model. The results can provide managers to segment customer or make marketing strategy.