Acknowledging that "relevance" is subjective shouldn't lead to creating generic, one-size-fits-all campaigns. Instead, it demands a high-volume creative strategy that produces dozens of distinct assets, each tailored to be hyper-relevant to a specific consumer segment or "demand state."
Related Insights
GenAI transforms advertising's core pillars. It enables hyper-personalized creatives at scale, democratizes ad production for smaller businesses, and fundamentally enhances the two most critical functions of any ad platform: predicting user behavior and measuring campaign outcomes.
In an era of information saturation, general advice leads to inaction. By providing highly specific content for a narrow niche, you make your audience feel seen and understood. This drives them to act, allowing you to achieve greater impact with a smaller audience by focusing on depth over width.
General advice is easily dismissed. By providing hyper-specific guidance tailored to a customer's unique context, like gardening tips for their exact climate zone via geo-targeted ads, you demonstrate a deep understanding of their problem. This specificity builds immense trust and confidence.
Marketers should use AI-driven insights at the beginning of the creative process to inform campaign strategy, rather than solely at the end for performance analysis. This approach combines human creativity with data to create more resonant campaigns and avoid generic AI-generated content.
Strict adherence to brand cohesion often stifles creativity and results in subjective boardroom debates. Brands achieve more by focusing on creating relevant, timely content that resonates with their audience, even if it occasionally breaks established stylistic guidelines.