Do More "Likes" Lead to More Clicks? Evidence from a Field Experiment on Social Advertising

83 Pages Posted: 12 Jul 2024

See all articles by Shan Huang

Shan Huang

The University of Hong Kong

Song Lin

Hong Kong University of Science & Technology (HKUST) - Department of Marketing; Hong Kong University of Science & Technology (HKUST); Hong Kong University of Science and Technology

Date Written: July 01, 2024

Abstract

One advantage of advertising on social media is leveraging users' expression of "likes" to influence the perceptions and responses of others in their network. Through a largescale field experiment on WeChat, three online lab studies and a theoretical model, we explore whether and how displaying more "likes" in an ad can effectively lead to more ad "likes" and clicks. We find that displaying the first "like" can significantly increase users' tendencies to both "like" and click on an ad. However, on average, showing additional "likes" does not further increase the clicking propensity, although it consistently attracts more "likes." We further find that displaying more "likes" increases the clickthrough rate for lesser-known brands but not for well-known brands, and has a stronger impact on the "like" rate for more socially engaged users than for less socially engaged ones. These findings are consistent with the interplay between informational and normative social influences in social advertising. The public visibility of "likes" makes liking more susceptible to normative social influence than clicking. The coexistence of these two forces can lead to an enhanced conformity effect on liking and a crowding-out effect on clicking. Our findings offer novel implications for managing social advertising and designing social media platforms.

Keywords: social networks, social advertising, social influence, field experiment

Suggested Citation

Huang, Shan and Lin, Song, Do More "Likes" Lead to More Clicks? Evidence from a Field Experiment on Social Advertising (July 01, 2024). HKUST Business School Research Paper No. 2024-173, Available at SSRN: https://ssrn.com/abstract=4889186 or http://dx.doi.org/10.2139/ssrn.4889186

Shan Huang (Contact Author)

The University of Hong Kong ( email )

Pokfulam Road
Hong Kong
China

Song Lin

Hong Kong University of Science & Technology (HKUST) - Department of Marketing ( email )

LSK 4005, HKUST Business School
Clear Water Bay
Hong Kong, Hong Kong, China na
Hong Kong
Clear Water Bay (Fax)

HOME PAGE: http://www.bm.ust.hk/mark/staff/song_lin.html

Hong Kong University of Science & Technology (HKUST) ( email )

Clearwater Bay
Kowloon, 999999
Hong Kong

Hong Kong University of Science and Technology ( email )

Clearwater Bay
Kowloon, 999999
Hong Kong

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