Marketing Digital Strategy for Promoting Brand of Global Retailer Achieving Sustainability
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Development of the marketing strategy is a necessary process to promote the brand, create and implement the general company's program.And considering the speed of digital tools' development, the adaptation of the customer to certain approaches, there is a constant search for new effective strategies and methods of promotion.After all, those strategies and methods that were relevant 3-4 years ago (for example, mass-following, hashtags, etc.) are now not effective enough for global retailers especially.The purpose of this paper is to access the current state implementation of global retailer's digital marketing strategy for its brand promotion.So using modern marketing methods of analysis, a marketing management issue was identified, namely the development of a digital strategy of global retailer, which must be solved to improve the business activities of the company and to achieve sustainability.The marketing activity of global retailer in case for H&M Ukraine was analyzed and the current state of implementation the H&M Ukraine's digital marketing strategy was assessed.The main digital tools used by the company were described and their performance evaluation was provided.Based on the results of analyze data, the recommendations for improving the digital marketing strategy of the company were formed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it