Didit’s Kevin Lee sat down with Alex Collmer, founder
and CEO of Vidmob, to explore how creative is becoming the true
performance engine of modern marketing, and why the industry is entering a new
chapter built on creative intelligence.
Vidmob’s origin story starts with a simple but powerful
idea: brands needed help turning TV spots and raw assets into high-performing,
platform-native video ads for Snapchat, Instagram, and other social
platforms. The company launched as a marketplace, connecting brands with
trained editors, then layered in workflow software to handle the complexity of
producing hundreds or thousands of assets.
The real inflection point came when Vidmob integrated
directly with ad accounts. That connection didn’t just streamline delivery; it
unlocked performance data on every single creative asset. Suddenly, it
became possible to see which specific creative decisions, logo placement,
opening frames, pacing, narrative structure, were actually driving results.
This insight led Vidmob toward its current focus: helping
brands transform creative from a “black box” into a structured, measurable
data asset.
Alex frames the evolution of ad tech as two chapters.
Chapter one was all about identity data: who the audience is, how to
target them, and how to retarget them. Chapter two, he argues, is about creative
data: understanding what’s inside the ad and how that correlates with outcomes.
With platforms like Google and Meta now calling creative “the next frontier”
and “the new targeting,” the industry is starting to recognize that creative
often accounts for 50–70% of performance, yet has historically been the
least instrumented variable.
The conversation also touches on the emerging divide
between creative data “haves” and “have-nots”. In an AI-driven world,
brands that can plug rich, structured creative data into their own AI and
analytics systems gain a powerful edge in planning, production, and media
optimization. Those that can’t risk falling behind, even if they’re using the
same platform tools as everyone else.
Crucially, Alex stresses that creative intelligence is not
about chasing clickbait or sacrificing long-term brand equity. The most
effective systems balance short-term performance goals with measures
of brand health and desirability over time, aligning with ambitions like
“100-year brands,” not just quarterly metrics.
For marketers, the takeaway is clear: the best time to build
creative intelligence was years ago; the second-best time is now. Instrumenting
historical assets, connecting creative to performance, and feeding that
intelligence into planning, production, and media buying is quickly becoming
table stakes for staying competitive in chapter two of ad tech.