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基于大数据技术的B2C跨境电子商务营销渠道效果评价模型构建及应用

摘要:随着跨境电子商务的快速发展,如何评价B2C跨境电子商务营销渠道的效果成为了一个重要的问题。本文基于大数据技术,构建了一个B2C跨境电子商务营销渠道效果评价模型,并应用于实际案例中。该模型包括数据采集、数据预处理、特征提取、模型训练和效果评价等步骤。通过对实际案例的分析,发现该模型可以有效地评价B2C跨境电子商务营销渠道的效果,为企业提供了有力的决策支持。 关键词:大数据技术;B2C跨境电子商务;营销渠道;效果评价;模型构建 Abstract: With the rapid development of cross-border e-commerce, how to evaluate the effectiveness of B2C cross-border e-commerce marketing channels has become an important issue. Based on big data technology, this paper constructs a B2C cross-border e-commerce marketing channel effectiveness evaluation model and applies it to practical cases. The model includes data collection, data preprocessing, feature extraction, model training, and effectiveness evaluation. Through the analysis of practical cases, it is found that the model can effectively evaluate the effectiveness of B2C cross-border e-commerce marketing channels, providing powerful decision-making support for enterprises. Keywords: big data technology; B2C cross-border e-commerce; marketing channels; effectiveness evaluation; model construction
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