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."

An AI-generated image is no longer a final product. It's the starting point that can be branched into countless other formats: videos, 3D assets, GIFs, text descriptions, or even code. This 'infinite branching' approach transforms a single creative idea into a full-fledged, multi-format campaign.

Agencies are optimized for efficiency, stifling the creative experimentation needed for platforms like Meta. Top-performing brands employ an in-house strategist whose sole job is generating a high volume of diverse, "wacky" ad concepts—a function that can't be effectively outsourced.

While most of IM8's creative is produced in-house, they strategically partner with external agencies to maintain diversity. This practice prevents the internal team from developing a single, repetitive style. By constantly feeding different creative approaches into Meta's algorithm, they avoid performance plateaus and ensure continued growth.

At Rippling, creative content is rarely developed for purely organic purposes. Every asset, from a lo-fi webinar promo to a high-production video, is intentionally created to fuel their paid media engine, ensuring maximum distribution and measurable impact for their investments.

Creative is no longer just a department; it's a core operational supply chain. This requires managing multiple, parallel production tracks—from internal designers, customer UGC, and paid creators to AI-generated assets—that all feed into the media buying engine for continuous testing.

Instead of creating bespoke layouts for every campaign, brands should systemize their core visual structures. By keeping the layout consistent while refreshing imagery, headlines, and offers, companies can dramatically accelerate content production across all channels, reduce costs, and ensure brand and regulatory compliance.

Merchants with thousands of products struggle to create unique visuals for each item. AI tools can automatically generate compelling creative at scale—adding motion and frames to basic product images—solving the bottleneck of low "creative density" against a large catalog.

Top e-commerce brands outpace competitors by operating at a much higher tempo. They use tools like AI to massively increase creative output, testing over 100 ad variations weekly versus a handful, which allows them to discover winning formulas much faster.