数据驱动下星巴克私域流量运营及转化研究

Research on Data-Driven Private Traffic Operations and Conversion at Starbucks

摘要: 在网络新零售时代，咖啡行业的竞争维度已从物理门店的扩张转向数字生态的深度运营。由于公域平台获客成本的不可控性，私域流量凭借其高黏性和低成本的特点，成为品牌资产增值的关键。作为全球咖啡市场的标杆企业，星巴克正遭遇依托数字技术迅速壮大的本土竞品的冲击。本研究采用S-O-R (刺激–机体–反应)理论进行分析研究。该理论认为外部刺激(S)通过影响个体内部状态(O)，最终导致行为反应(R)。因此，该理论能够很清晰地描述星巴克私域运营中流量转化的全过程。为理解数字化营销的有效性提供了系统性的理论解释，也为星巴克优化数字营销策略提供了具体指导方向。

Abstract: In the era of online new retail, the competitive dimensions of the coffee industry have shifted from the expansion of physical stores to the in-depth operation of digital ecology. Owing to the uncontrollable cost of customer acquisition on public domain platforms, private domain traffic has become a key driver of brand asset appreciation, thanks to its high stickiness and low-cost advantages. As a benchmark enterprise in the global coffee market, Starbucks is facing challenges from rapidly growing local competitors empowered by digital technologies. This study adopts the S-O-R (Stimulus-Organism-Response) Theory for analysis. The theory posits that external stimuli (S) influence an individual’s internal state (O), ultimately leading to behavioral responses (R). Therefore, this theory can clearly describe the entire process of traffic conversion in Starbucks’ private domain operations. It provides a systematic theoretical explanation for understanding the effectiveness of digital marketing, and also offers specific guidance for Starbucks to optimize its digital marketing strategies.