Leveraging online review tags: when experiential tags improve helpfulness – and when they don't

Purpose This research examines how attribute-based and experience-based review tags are associated with review helpfulness in online consumer reviews (OCRs), drawing on accessibility-diagnosticity theory (ADT). Design/methodology/approach We conceptualize review tags as platform-curated cues and test hypotheses on 8,119 OCRs of 12 smartphone models from BestBuy.com, using logistic and zero-inflated negative binomial regression, with predictive analytics as robustness checks. Findings Experience-based tags show a stronger association with review helpfulness than attribute-based tags, though this association exhibits diminishing returns as tags accumulate and is stronger for higher- than lower-involvement products. Originality/value This research extends ADT from review-level content to tag-level interface cues, showing that tag's informational orientation, not merely presence or number, shapes review helpfulness, offering guidance as platforms rely on automated tagging.

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Publication Details

Journal
Marketing Intelligence & Planning
Published
2026-10-09
DOI
https://doi.org/10.1108/mip-12-2025-0950
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Leveraging online review tags: when experiential tags improve helpfulness – and when they don't

Jong Hwan Suh, Donghee Yoo, Jaebong Son, Chang Heon Lee et al.
Marketing Intelligence & Planning
Digital Marketing and Social Media
article

Leveraging online review tags: when experiential tags improve helpfulness – and when they don't

Jong Hwan Suh, Donghee Yoo, Jaebong Son, Chang Heon Lee, Jianliang Hao
article en

Abstract

Purpose This research examines how attribute-based and experience-based review tags are associated with review helpfulness in online consumer reviews (OCRs), drawing on accessibility-diagnosticity theory (ADT). Design/methodology/approach We conceptualize review tags as platform-curated cues and test hypotheses on 8,119 OCRs of 12 smartphone models from BestBuy.com, using logistic and zero-inflated negative binomial regression, with predictive analytics as robustness checks. Findings Experience-based tags show a stronger association with review helpfulness than attribute-based tags, though this association exhibits diminishing returns as tags accumulate and is stronger for higher- than lower-involvement products. Originality/value This research extends ADT from review-level content to tag-level interface cues, showing that tag's informational orientation, not merely presence or number, shapes review helpfulness, offering guidance as platforms rely on automated tagging.

Marketing Intelligence & Planning
Gyeongsang National University (KR), California State University, Chico (US), California State University, Fresno (US)
Openalex Percentile: Top 5%
Digital Marketing and Social Media
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