Amazon's holiday ad featuring sledding grandmothers was panned by industry press but deeply connected with audiences. This highlights a dangerous disconnect where the ad industry celebrates work for itself, rather than for its ability to tap into universal human truths that resonate with actual customers.
The debate over ad "quality" is often based on subjective opinions of brand fit. A more effective definition of quality is its ability to achieve the primary business objective: selling the product. Unconventional creative that drives sales, like Olay's "cat with lasers" ad, is by definition high-quality.
The 'Mad Men' era of relying on a creative director's gut feel is obsolete. Many leaders still wrongly judge marketing creative based on their personal taste ('I don't like that picture'). The correct modern approach is to deploy content and use the resulting performance data to make informed decisions.
The perceived success of the emotional John Lewis ad is backed by data from Zappi. Viewers reported the emotion "love" at 44%, double the 22% norm for UK ads. This demonstrates that subjective emotional impact can be quantified and benchmarked against a large dataset.
AI in creative doesn't have to dilute a brand. Coca-Cola's successful holiday ad used AI, but its high brand recall (83%) was driven by focusing on iconic assets like Santa. The AI execution was effective because it was largely invisible, proving the creative idea still drives the ad, not the tech.
While Gen Z is overrepresented in ads, data shows that when they see themselves portrayed, ad effectiveness scores drop significantly. Common stereotypes of being tech-obsessed, awkward, or only in competitive situations alienate them. Intergenerational stories and portrayals of kindness perform better.
Don't be deterred by criticism from industry peers. Zaria Parvez of Duolingo views it as a positive indicator. If marketers dislike your work but consumers love it, you're successfully breaking through the marketing echo chamber and connecting with your actual audience.
While media coverage suggests public disdain for AI-generated ads, Coca-Cola's consumer data shows high approval scores. This highlights a critical gap between the sentiment of a threatened media industry and actual consumer behavior, suggesting audiences care more about the final product than its AI origin.
The differing styles of holiday advertising reflect distinct economic realities. The UK's focus on emotional, brand-building "mini-movies" contrasts with the US's faster-paced, transactional approach, which is driven by a more competitive, crowded market.
As audiences push back against AI-generated and overly polished stock imagery, featuring real people in authentic situations will be critical for engagement. Showcasing your team, customers, or volunteers in natural settings—not on a green screen—builds trust and connection, making genuine humanity the key to cutting through the noise.
Traditional ad testing relies on surveys, which are unreliable as respondents may not be truthful or self-aware. A more predictive method is to measure actual consumer behaviors like attention and emotional response using neuroscience and AI. These are more direct indicators of an ad's potential sales impact.