Logo image
The Sales Impacts of Traffic Acquisition Promotion in Live-Streaming Commerce
Journal article   Peer reviewed

The Sales Impacts of Traffic Acquisition Promotion in Live-Streaming Commerce

Wenchang Zhang, Chewei Liu, Liu Ming and Yue Cheng
Production and Operations Management, Vol.34(12), pp.3830-3846
01/12/2025

Abstract

Social Commerce Live Streaming Lucky Draw Sales Effects Backfiring Effect Electronic Commerce
Live-streaming commerce, a combination of live streaming and e-commerce on social media platforms, has been a huge phenomenon over the past few years. Recently, the lucky draw (also known as sweepstakes) stands out as one of the most popular promotion innovations for traffic acquisition in live-streaming commerce. As a non-price-based operational lever, lucky draws offer not only utilitarian benefits (i.e., winning rewards) but also social values that engage and entertain participants (i.e., participating in a social event). Exploiting a comprehensive dataset collected from TikTok (China), we examine lucky draws' sales impacts on live-streaming events. Although the adoption of lucky draw results in an overall sales improvement, it can backfire when streamers stop offering the promotion: The sales of post-adoption events without lucky draws are substantially worse off than pre-adoption ones. These findings highlight both lucky draws' benefits and their backfiring effects, providing operational implications associated with utilizing this type of promotion. In addition, we find that the lucky draw promotion exhibits significant heterogeneity in terms of impacting sales of streamers with various levels of popularity. Less well-known streamers benefit from the promotion remarkably better than more well-known streamers. Further, we explore the underlying mechanisms of lucky draws' sale effects by analyzing their traffic effects on follower flow and non-follower flow.

Metrics

1 Record Views

Details

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this contribution

Collaboration types
Domestic collaboration
International collaboration
Citation topics
6 Social Sciences
6.3 Management
6.3.65 Consumer Behavior
Web of Science research areas
Engineering, Manufacturing
Operations Research & Management Science
Logo image