The More Advertising Automates, The More Creative Matters
Automation is eating advertisers’ workflows. Media buying – once dependent on traders’ skills of budget allocation and bid management – has become the push of a button, where self-attributing platforms auto-optimize for advertisers’ desired outcomes. And customer understanding is increasingly cultivated by walled gardens like Amazon, Google, and Meta, who turn media planning into conversations with big data. Because walled gardens glean peerless signals from their own inventory, those conversations often result in ad spend concentrating on walled gardens’ proprietary content.
AI will keep commodifying media execution and favoring walled gardens with seemingly endless R&D budgets. Consequently, compelling creative is advertisers’ durable differentiator. Uniquely memorable ideas and brands’ expressiveness are impervious to commodification because AI cannot democratize originality. Creative distinctiveness, made of scarce ideas that earn attention, encode brands in consumers’ memories, and give similar technologies something differentiated to amplify, is the biggest catalyst of brands’ growth.
But delivering distinctive creative is far easier said than done. Big ideas that determine how multi-million-dollar campaigns look and feel often succumb to arbitrary taste-making and the opinions of the highest paid people in the room. And creative testing can’t find its footing. Sometimes, tests that rely on focus groups are too cumbersome to be always on and produce results too biased to be actionable. Other times, always on testing can result in overly granular insights too particular to lift brand health. And dynamic creative optimization is laborious. Per a CMO I recently interviewed, “the effective implementation of DCO demands meticulous planning and substantial creative resources.”
Creative Excellence Needs A New Owner
Most brands and agencies are better equipped to scale creative production than improve creative effectiveness. They have no shortage of automatable processes and are getting better at stitching together creative adtech stacks that accelerate and de-risk creative workflows. Meanwhile, performance marketers demand exponentially more creative for multivariate testing, which diverts creative directors from designing more resonant ads to increasing throughput. Organizations are turning to creative technologists to bridge the gap between creative output and excellence.
Creative technologists turn processes from artisanal workflows into adaptive, accountable systems without stripping away the human discretion that makes creative memorable. They connect creative strategy, production, data, media activation, and experimentation so that campaign and brand health signals shape what gets made and humans can focus on decisions machines cannot make. Unlike creative strategists, marketing technologists, or data scientists who specialize in a discipline, creative technologists orchestrate intersections across disciplines. They aren’t translators between creative and technology; they redesign how the two work together. Ideal candidates demonstrate a rare blend of taste making, technical curiosity, experimental rigor, and change leadership.
Our role profile clarifies creative technologists’ responsibilities, specifies organizational interlocks, identifies supporting technologies, offers success metrics, and more. Consider pairing our profile with our forthcoming report on the new dynamics of creative excellence and upcoming Wave on creative adtech to orient people, processes, and technologies towards more compelling creative. As always, feel free to request a guidance session.