Tobacco-Derived Nicotine Pouch Brands and Marketing Messages on Internet and Traditional Media: Content Analysis
Bibliographic record
Abstract
BACKGROUND: Nicotine pouches and lozenges are increasingly available in the United States, and sales are growing. The brands of nicotine pouch products with the largest market share are produced by tobacco companies. OBJECTIVE: The aim of this study is to examine the marketing of 5 oral nicotine products sold by tobacco companies. METHODS: Internet, radio, television, print, and web-based display advertisements between January 2019 and March 2020 for 6 brands of nicotine pouches and lozenges were identified through commercially available marketing surveillance systems supplemented by a manual search of trade press and a review of brand websites. A total of 711 advertisements (122 unique) were analyzed to identify characteristics, themes, marketing strategies, and target audiences, and qualitatively compared by brand. All 5 brand websites were also analyzed. Coders examined the entirety of each advertisement or website for products, marketing claims, and features and recorded the presence or absence of 27 marketing claims and lifestyle elements. RESULTS: All 6 brands of nicotine pouch products spent a total of US $11.2 million on advertising in 2019, with the most (US $10.7 million) spent by the brand Velo, and 86.1% (n=105) of the unique advertisements were web-based. Of the 711 total nicotine pouch advertisements run in 2019, the 2 brands Velo (n=407, 57%) and ZYN (n=303, 42%) dominated. These brands also made the greatest number of advertising claims in general. These claims focused on novelty, modernity, and use in a variety of contexts, including urban contexts, workplaces, transportation, and leisure activities. Of the 122 unique advertisements, ZYN's most common claims were to be "tobacco-free," featuring many flavors or varieties, and modern. Velo was the only brand to include urban contexts (n=14, 38.9% of advertisements) or freedom (n=8, 22.2%); Velo advertisements portrayed use in the workplace (n=15, 41.7%), bars or clubs (n=5, 13.9%), leisure activities (n=4, 11.1%), transportation (n=4, 11.1%), sports (n=3, 8.3%), cooking (n=2, 5.6%), and with alcohol (n=1, 2.8%). Velo and ZYN also included most of the images of people, including women and people of color. The 36 Velo ads included people in advertising in 77.8% (n=28) of advertisements, and of those advertisements with identifiable people, 40% (n=4) were young adults and 50% (n=5) were middle-aged. About one-third (n=11, 35.5%) of the 31 unique ZYN advertisements included people, and most identifiable models appeared to be young adults. Brands such as Rogue, Revel, Dryft, and on! focused mainly on product features. All nicotine pouch products made either tobacco-free, smoke-free, spit-free, or vape-free claims. The most common claim overall was "tobacco-free," found in advertisements from Rogue (1/1, 100%), ZYN (30/31, 96.8%), Velo (19/36, 52.8%), and Dryft (1/3, 33.3%), but not Revel. CONCLUSIONS: Nicotine pouches and lozenges may expand the nicotine market as tobacco-free claims alleviate concerns about health harms and advertising features a greater diversity of people and contexts than typical smokeless tobacco advertising. The market leaders and highest-spending brands, ZYN and Velo, included more lifestyle claims. Surveillance of nicotine pouch marketing and uptake, including influence on tobacco use behaviors, is necessary.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 source (direct Gemma or distilled Codex), 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".