consumer attitudes
- Targets & Segments
- Article
Learn How to Train LLMs to Identify Implicit Consumer Needs
This study explores the potential of large language models (LLMs) to revolutionize marketing research. By partnering with a Fortune 500 food company, the authors replicated qualitative and quantitative studies using GPT-4. The findings indicate that LLMs can effectively generate synthetic respondents, moderate in-depth interviews and perform data analysis tasks, matching or even surpassing human performance in certain aspects. The study highlights the benefits of a Human-LLM hybrid approach, where LLMs assist in various stages of the research process, from study design to data analysis. This approach not only enhances efficiency but also uncovers new insights that might be overlooked by human researchers alone.
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- Creative & Branded Content
- Article
Which YouTube Ad Format is Best: Skippable Ads, Non-Skippable Ads or Brand Placements?
The shift from traditional media to digital platforms has made YouTube a key player in content consumption. This study evaluates the effectiveness of YouTube's popular advertising formats—skippable ads, non-skippable ads and brand placements—within infotainment videos. Findings suggest that skippable ads and brand placements are perceived as less intrusive, while non-skippable ads enhance brand recall. Combining skippable ads with brand placements yields comparable results to non-skippable ads alone. Brand placements alone foster more positive brand attitudes compared to other ad types. The study provides valuable insights for marketers on the cost-benefit tradeoffs of different YouTube advertising formats, emphasizing the importance of aligning promotional tools with campaign objectives.
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