Nearly half of marketers believe that real-time creative optimization could drive performance lifts of 11% to 30%, yet very few are structured to capture that upside.
That disconnect points to a growing issue in creative performance marketing: the industry knows creative matters, but it still struggles to operationalize it.
Creative is critical, but still under-optimized
There is broad alignment on creative’s importance. According to new research from Perion and EMARKETER, 89% of marketers say creative is a key driver of campaign performance, and most evaluate it based on business outcomes like sales, conversions, and return on ad spend.
“Nearly 9 in 10 marketers agree creative is critical to campaign performance.”
And yet, that belief hasn’t translated into execution.
Only a small minority of marketers say creative is fully understood and actively optimized today. For many, it remains inconsistent, siloed, or difficult to measure holistically.
The result is a paradox: creative is treated as essential, but not yet managed as a true performance lever.
The feedback loop problem
The core issue isn’t a lack of data or ideas. It’s how slowly insights translate into action.
Creative decisions are still made across fragmented platforms, each with its own signals and reporting logic. That fragmentation breaks the feedback loop needed for continuous optimization.
“53% of marketers say creative insights arrive slower than media signals.”
In practice, that means feedback often comes too late to influence live campaigns – sometimes weeks after launch or only once a campaign has ended.
As a result, creative optimization becomes reactive rather than proactive.
“72% of marketers wait for performance decline before refreshing creative.”
Ownership is equally fragmented. With responsibility split across teams, delays and disconnects are common, making it harder to act on insights quickly and consistently.
The untapped upside of creative optimization
What makes this gap more significant is the scale of opportunity.
“1 in 4 marketers believe real-time creative optimization could unlock gains of 20% or more.”
Nearly half expect double-digit performance improvements if creative could be optimized and activated in near real time.
Yet today, creative is still too often treated as a static asset rather than a continuously evolving input into performance.
Even when testing is in place, learnings are rarely carried forward systematically across campaigns or channels. Instead of building momentum, many teams restart the process each time.
See the full data behind the gap
The full research report breaks down exactly where creative performance is being lost, and what high-performing teams are doing differently.
The report will give you access to:
- A complete breakdown of expected performance lift by optimization maturity
- Channel-by-channel visibility gaps (including CTV and DOOH)
- The biggest operational blockers to real-time creative optimization
- A structured framework for turning creative into a continuous performance engine
Download: The Creative Optimization Gap
Why AI changes the equation
Closing the gap requires more than faster reporting. It requires a system that can continuously learn and apply insights across campaigns.
This is where AI creative optimization begins to shift the model.
AI enables teams to:
- Surface performance signals earlier in-flight
- Adapt creative dynamically based on context and results
- Connect insights across channels rather than treating them in isolation
“Over half of marketers plan to invest in AI-powered creative systems in the next year.”
However, most adoption today is still focused on asset creation or basic automation. The larger opportunity lies in using AI to build a continuous feedback loop—one that improves creative performance over time, not just campaign by campaign.
From fragmented workflows to Adaptive Creative Intelligence
To fully unlock creative’s potential, marketers need to move beyond disconnected tools and toward a unified execution model.
This is where Adaptive Creative Intelligence comes into focus.
Rather than treating creative as a one-time deliverable, it reframes it as a dynamic system – one that learns, adapts, and improves continuously based on performance signals.
In practice, it requires four shifts:
- Designing creative for rapid iteration, not just launch
- Establishing clear ownership of creative performance
- Connecting signals across channels into a single learning loop
- Applying insights forward instead of resetting with each campaign
At scale, this requires an execution layer capable of turning fragmented signals into continuous optimization.
The next frontier of creative performance marketing
Creative has long been treated as a moment in time: developed, launched, and reviewed, but performance marketing now demands something different.
The next frontier is not just better creative – it’s creative that operates at the speed of media, learning, and continuously adapting based on what’s working.
Download the full report
For a deeper look at the data, benchmarks, and operating models shaping the future of creative intelligence in advertising:
