Follow your nose when it sounds right: How brand names influence consumer responses to product scents
Bibliographic record
Abstract
Product scents exert a considerable influence on managerial outcomes. However, little research has examined the contextual circumstances that facilitate or hinder consumer responses to product scents. Across three studies, we address this gap by exploring how one important product element –brand name congruence – moderates the influence of product scent valence on consumer responses. Specifically, we find that brand names that are phonetically incongruent with desirable product category characteristics attenuate the effect of a product scent’s valence on consumers’ evaluations and purchase decisions. Conversely, a product scent’s valence plays a significant role in shaping consumers’ responses when the product’s brand name is phonetically congruent with desirable product category characteristics. This research has important implications for marketers who want to exploit favorable product scents, and for those who wish to reduce consumer attention to unappealing product odors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".