Grado de eficacia del product placement de la marca inca kola, a través del canal de youtube andynsane, I trimestre del 2018.
Bibliographic record
Abstract
The objective of the research was to determine the degree of efficacy of the product placement of the Inca Kola brand, through the YouTube channel Andynsane, in the I Quarter of the year 2018. For this, eight indicators were identified: perception of product placement, acceptance of the product placement, purchase intention, scope, access, like, comments and comments about the brand. The first three are related to marketing techniques that allow to measure the efficacy of a campaign with the opinion of the clients. The next two indicators correspond to the traffic of the social network YouTube and the last three indicators involve forms of interaction in a social network. \nThe design corresponded to the simple descriptive. For the data, in the first three indicators the survey technique was used and its questionnaire instrument was applied to a sample of 384 subjects; in the last five indicators, the content analysis technique and its instrument guide for registering the metric for the YouTube social network were used. \nIt was concluded that the efficacy of the product placement of the Inca Kola brand, through the YouTube channel Andynsane, in the I Quarter of the year 2018 was 44% (high efficacy). In addition, from the responses of the respondents who viewed the videos that used product placement, it was confirmed that: 62% recognized the Inca Kola brand, 47% were motivated to purchase the product and 64% accepted the use of product placement as a tool to promote brands in the social network YouTube.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".