ArticlePloS one2026
The impact of linguistic features on CTR in Instagram ads: A study of supplement and cosmetic products.
Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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2 authors.
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Abstract
This study analyzes linguistic features impacting click-through rate (CTR) in Japanese Instagram ads (21,692 ads; July 2021-June 2023, Meta's Marketing API). CTR was computed as link clicks/impressions from Meta's Ads Manager. Using J-LIWC2015, we quantified psycholinguistic dimensions, predominantly in Japanese. Multivariate regression models, controlling for caption length, log-transformed impressions, and product-level fixed effects, identified distinct linguistic patterns predicting CTR by product category. For supplement ads, "risk" [Formula: see text] and "discrepancy" [Formula: see text] positively impacted CTR; "motion" [Formula: see text] and "negative emotion" [Formula: see text] decreased it. For cosmetic ads, "see" [Formula: see text], "positive emotion" [Formula: see text], and "motion" [Formula: see text] were positive predictors, while "body" [Formula: see text] and "negative emotion" [Formula: see text] decreased it. These findings underscore the critical role of linguistic features in enhancing advertising impact when aligned with the psychological needs of target audiences. By leveraging these insights, marketers can develop data-driven communication strategies to optimize engagement on Instagram.
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