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Historically, entertainment and advertising have worked as a tag team, taking turns soliciting attention from audiences. But our social-media age is blending the two into new, hybrid forms.
Witness livestream shopping, a seamless amalgam of e-commerce and entertainment. In place of one-way messaging delivered by polished pitchpeople, this model employs relatable influencers presenting products for online sale—and chatting with consumers—in real-time sessions that often last several hours.
Famously popular in China, livestream shopping is picking up steam in the United States. In June 2024, as an example, U.S. TikTok netted its first million-dollar livestream, courtesy of Texas-based brand Canvas Beauty. By 2026, live shopping may be responsible for as much as five percent of all e-commerce sales in the U.S., according to industry projections.
For global brands, this means a possible revenue explosion. But for information-systems scholars like Si Xie,
assistant professor at Costello College of Business, the global rise of livestream shopping represents an unprecedented research opportunity.
“One of the most important elements of livestream shopping is the interaction,” Xie says. “Livestreams bring all potential buyers into the same virtual room, together with the influencer. People can see which products have been put in the online shopping cart, and which have been purchased.”
Her recently published paper in Production & Operations Management finds that the longer an individual product is showcased in a livestream featuring several different brands, the more revenue it will generate. Yet as product showcase duration goes up, overall revenue from the livestream goes down.
To reach their conclusions, the research team—including co-authors Siddhartha Sharma of Indiana University and Amit Mehra of University of Texas at Dallas—analyzed data from nearly 75,000 livestreams conducted in China during 2021.
For Xie, the findings point to a fundamental conflict between the incentives of livestreamers and the brands they promote. It is in the best interest of third-party influencers to move fairly rapidly between different types of products, but brands will want more airtime devoted to each one.
“People like variety,” Xie explains. “If I watch a livestream and all I see are shirts in different fabrics, I might feel there are not too many choices I can make. However, if you show me a shirt and then a pair of pants, I can make an outfit. There’s a higher probability of my making more purchases, and that’s in line with the third-party livestreamers’ incentives.”
One way to correct these misaligned incentives would be for brands to use the power of the purse to influence the influencers. In China, even the suggestion of such corrupting relationships has caused public scandal. In 2023, for example, top livestreamer Li Jiaqi (nicknamed “The Lipstick King” for his ability to sell beauty products) lost one million followers on social media after lashing out at an online commenter who complained about the high price of an eyebrow pencil made by Chinese cosmetics company Florasis. Li, Florasis’s most prominent brand ambassador, was excoriated for ostensibly putting his relationship with the brand above empathy for financially struggling consumers.
“People were saying, ‘you are trying to be defensive of the product because you get so much interest from selling that pencil’”, Xie says. “Therefore, Li’s credibility was really impaired.”
If Xie’s paper describes how human imperfections can jeopardize livestream shopping, could AI be the answer? Indeed, AI-powered animated chatbots — both paired with human influencers, and serving customers solo during off-peak sales hours — have become commonplace on China’s livestreams. For her PhD dissertation, Xie probed data from more than 70,000 livestreams in China and found that introducing an AI assistant boosted livestream sales by about 18%. But the effect steadily declined over time — and not because the novelty wore off. The rapidly improving algorithmic responses had the unintended consequence of shorter watch durations, which may have reduced impulse buying. Xie’s suggested remedy? “The owner of the gen-AI tools could modify the interaction between the virtual livestreamer and the audience to encourage more engagement, perhaps by adjusting the learning speed to ensure that the audience remains engaged for a longer period."
Xie also suggests that brands and channels replace humanoid avatars with cute, cuddly “mascots” that users just can’t bring themselves to click away from.
Xie says she’s working on future papers that tease insights out of livestream data. “One good thing about this new technology is that it promotes the user to buy using methods we can observe. Livestreamers sell general items like grocery items and clothing, as well as expensive stuff like cars and houses, and you can really see how people behave.”