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Social Media Brand Engagement as a Proxy for E-Commerce Activities: A Case Study of Sina Weibo and JD

Lin, Weiqiang; Saleiro, Pedro; Milic-Frayling, Natasa; Ch'ng, Eugene

Authors

Weiqiang Lin

Pedro Saleiro

Natasa Milic-Frayling

Eugene Ch'ng



Abstract

E-commerce platforms facilitate sales of products while product vendors engage in Social Media Activities (SMA) to drive E-commerce Platform Activities (EPA) of consumers, enticing them to search, browse and buy products. The frequency and timing of SMA are expected to affect levels of EPA, increasing the number of brand related queries, clickthrough, and purchase orders. This paper applies cross-sectional data analysis to explore such beliefs and demonstrates weak-to-moderate correlations between daily SMA and EPA volumes. Further correlation analysis, using 30-day rolling windows, shows a high variability in correlation of SMA-EPA pairs and calls into question the predictive potential of SMA in relation to EPA. Considering the moderate correlation of selected SMA and EPA pairs (e.g., Post-Orders), we investigate whether SMA features can predict changes in the EPA levels, instead of precise EPA daily volumes. We define such levels in terms of EPA distribution quantiles (2, 3, and 5 levels) over training data. We formulate the EPA quantile predictions as a multi-class categorization problem. The experiments with Random Forest and Logistic Regression show a varied success, performing better than random for the top quantiles of purchase orders and for the lowest quantile of search and clickthrough activities. Similar results are obtained when predicting multi-day cumulative EPA levels (1, 3, and 7 days). Our results have considerable practical implications but, most importantly, urge the common beliefs to be re-examined, seeking a stronger evidence of SMA effects on EPA.

Citation

Lin, W., Saleiro, P., Milic-Frayling, N., & Ch'ng, E. (2019). Social Media Brand Engagement as a Proxy for E-Commerce Activities: A Case Study of Sina Weibo and JD. In Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI) (375-382). https://doi.org/10.1109/WI.2018.00-65

Conference Name 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)
Conference Location Santiago, Chile
Start Date Dec 3, 2018
End Date Dec 6, 2018
Acceptance Date Aug 27, 2018
Online Publication Date Jan 13, 2019
Publication Date Jan 10, 2019
Deposit Date Jan 16, 2019
Publicly Available Date Mar 29, 2024
Pages 375-382
Book Title Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)
ISBN 978-1-5386-7326-3
DOI https://doi.org/10.1109/WI.2018.00-65
Public URL https://nottingham-repository.worktribe.com/output/1476297
Publisher URL https://ieeexplore.ieee.org/document/8609618

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