The pitfalls of personalization: understanding consumer responses to online embarrassing recommendations

Abstract Consumers often turn to online environments to purchase embarrassing products to avoid social attention. However, we find that personalized recommendations can trigger concerns about being judged even in the absence of a human audience. Across a series of studies, participants showed negative evaluations of embarrassing recommendations and a stronger desire to disrupt recommendation algorithms. These reactions arise because such recommendations evoke fear of judgment. We further identify strategies that mitigate these negative effects, including presenting embarrassing products through less personalized formats and framing personalized recommendations as signals of care for consumers’ well-being. These findings advance our understanding of embarrassment in digital marketing and offer actionable guidance for platforms seeking to balance personalization with consumer concerns.

Authors

Institutions

Publication Details

Journal
Marketing Letters
Published
2026-06-27
DOI
https://doi.org/10.1007/s11002-026-09830-9
Primary Topic
Emotions and Moral Behavior
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The pitfalls of personalization: understanding consumer responses to online embarrassing recommendations

Leilei Gao, Yunqing Chen, Xinping Wei
Marketing Letters
Emotions and Moral Behavior
article

The pitfalls of personalization: understanding consumer responses to online embarrassing recommendations

Leilei Gao, Yunqing Chen, Xinping Wei
article en

Abstract

Abstract Consumers often turn to online environments to purchase embarrassing products to avoid social attention. However, we find that personalized recommendations can trigger concerns about being judged even in the absence of a human audience. Across a series of studies, participants showed negative evaluations of embarrassing recommendations and a stronger desire to disrupt recommendation algorithms. These reactions arise because such recommendations evoke fear of judgment. We further identify strategies that mitigate these negative effects, including presenting embarrassing products through less personalized formats and framing personalized recommendations as signals of care for consumers’ well-being. These findings advance our understanding of embarrassment in digital marketing and offer actionable guidance for platforms seeking to balance personalization with consumer concerns.

Marketing LettersVol. 37(1)
Chinese University of Hong Kong (HK), Xiamen University (CN), Nanjing University of Science and Technology (CN)
National Natural Science Foundation of China, Chinese University of Hong Kong
Reduced inequalities
Openalex Percentile: Top 5%
Emotions and Moral Behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.