Philip Morris International’s Formula 1 Sponsorship-Linked Marketing: Transformation From Marlboro to Mission Winnow
Bibliographic record
Abstract
INTRODUCTION: Transformation describes a dramatic modification in appearance or character. Philip Morris International (PMI)'s sponsorship-linked marketing of Formula 1 auto racing is illustrative of transformation. The company's flagship cigarette brand, Marlboro has been replaced as the identified partner by their newly developed brand, Mission Winnow. This study examines the tobacco company's marketing objectives for transforming the brand identity of its Formula 1 Ferrari race team partnership. AIMS AND METHODS: We provide a case study, and our method of qualitative enquiry is textual analysis. We review marketing planning documents from Philip Morris, which would normally be proprietary, but are publicly accessible because of litigation. Additionally, we review Mission Winnow's social media posts, over a 3-year span, from the brand's Facebook, Instagram, and Twitter accounts. RESULTS: PMI initiated its Formula 1 sponsorship in 1972. Through Marlboro, the company's sponsorship-linked marketing was largely centered on building brand image and reinforcing Marlboro's brand identity of rugged masculinity, independence, heroism, and adventure. When Mission Winnow replaced Marlboro as the identified brand sponsor in 2018, the company's marketing communication shifted to highlighting transformation, progress, open dialogue, teamwork, innovation, technology, and science. CONCLUSIONS: Despite Article 5.3 of the World Health Organization's Framework Convention on Tobacco Control (WHO FCTC) calling for Parties to protect public health policies from the commercial and vested interests of tobacco companies, PMI still seeks to be an important stakeholder in such consultations, including those pertaining to harm reduction. Mission Winnow's sponsorship-linked marketing points to a larger company narrative about trying to gain or reclaim legitimacy and credibility. IMPLICATIONS: PMI's continued sponsorship of Formula 1 is a strategic means of drawing attention to the company's "next-generation products" and communicating their supposed "transformation." The company's sponsorship-linked marketing initiatives point to a need for Parties to enforce Article 13 of the WHO FCTC, which calls for a comprehensive ban on tobacco advertising, promotion, and sponsorship.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".