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Creative Research

Creative research is the systematic process of analyzing advertising creative elements—such as visuals, copy, and formats—to understand performance, identify trends, and inform future campaign development.

Definition

Why It Matters

Creative research de-risks the creative development process and reduces wasted ad spend. By basing new concepts on proven trends and data-backed insights, brands can significantly increase the probability of a campaign's success. It provides a constant source of inspiration, helping creative teams overcome blocks and avoid ad fatigue by identifying fresh angles and formats that resonate with the target audience. Furthermore, creative research is a critical component of competitive intelligence. Understanding what ads competitors are running, at what scale, and on which platforms allows a brand to identify gaps in the market, differentiate its messaging, and anticipate shifts in strategy. It transforms creative from a purely subjective exercise into a strategic, data-driven function that directly contributes to business objectives like customer acquisition and brand growth.

Examples

  • An e-commerce brand analyzing competitors' video ads to identify the most common hook types, such as unboxing, product demonstrations, or user testimonials.
  • A mobile game developer tracking the visual styles and character art used in top-charting competitors' ads to inform their own launch creative.
  • A B2B SaaS company studying the headlines and CTAs used in LinkedIn ads within their industry to refine their own lead generation campaigns.

Common Mistakes

  • Directly copying a competitor's ad without adapting the strategy or messaging to one's own brand voice.
  • Focusing only on visual elements while neglecting the importance of ad copy, headlines, and value propositions.
  • Conducting research only once at the start of a project, rather than treating it as an ongoing process to stay ahead of trends.
  • Mistaking research for A/B testing; research informs the hypotheses that A/B testing is then used to validate.