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A practical model to predict the repeat purchasing pattern of consumers in the C2C e-commerce
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AI
DOI：10.1007/s10660-015-9201-8.png)
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Abstract
En 中文
In the recent decade, the C2C e-commerce has developed very fast and played a key role in the internet transaction. However, no work has been reported about predicting the consumers' repeat purchasing pattern in the area so far. To fill the gap, this paper develops a novel predicting model according to some special characteristics of the C2C e-commerce. This model only uses the information about frequencies and timings of transactions. Thus, it is simple and convenient to be implemented. To verify the validity of the model, we test some samples from the real transaction data. The numerical results show that the new model outperforms the benchmark Pareto/NBD model. Thus, it is indeed an easy but powerful tool for the vendors on the C2C platform to predict the repeat purchasing pattern of consumers in the C2C e-commerce.
Keywords:
C2C e-commerce
Repeat purchasing pattern
Prediction
Journal
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