Dynamic Creative Optimization on CTV: Its Roots, What It's Become, and What's Coming Next For DCO.
Dynamic Creative Optimization has been around long enough to have acquired something every established advertising technology eventually earns: more than one definition of what it actually is, does, or means.
Ask one marketer what DCO means and they may describe a campaign that launches with several creative variations, measures which performs best, and shifts delivery toward the winners.
Ask another and they may describe something quite different: using audience, household, location, contextual or behavioral data to decide which version of a message should be served before the impression ever makes it into the living room.
Neither is wrong.
In fact, at Origin we maintain the view that the most interesting future of dynamic creative optimization on CTV begins when we stop choosing between them.
Because the most powerful DCO can do both. And when it does both, the potential for it to become more suddenly emerges.
The Roots Of Dynamic Creative Optimization
DCO did not begin with Connected TV.
Its roots stretch back to early digital advertising, when creative optimization largely meant testing different combinations of images, headlines and calls to action, watching what people responded to, and serving more of what worked.
As audience data became richer, something changed. Creative no longer had to learn only from what happened after an impression. Data could begin influencing what somebody saw before it.
An IAB discussion from 2015 described this evolution neatly: digital advertising moved from basic A/B testing into a world where cookies and increasingly rich user data allowed creative to adapt according to what was known about an audience.
By 2018, the IAB's Digital Video Glossary defined dynamic creative as 'video advertising that could be customized in advance or transformed upon delivery for relevant audience segments'.
And as Connected TV matured, those possibilities moved onto the biggest screen in the home.
By 2021, the IAB was specifically highlighting dynamic overlays, sequential creative and other data-driven formats as important opportunities for CTV, including the ability to personalize creative using location, demographic and behavioral information.
DCO had officially escaped the banner ad.
So what does DCO mean today?
This is where things get interesting.
Broadly speaking, the industry now uses Dynamic Creative Optimization to describe two related disciplines.
1. Optimizing creative based on what performs
This is perhaps the most literal interpretation of the word optimization.
Launch different versions. Measure them. Learn which messages, images, products, offers or combinations are producing the desired outcome. Then adjust the creative mix accordingly.
Google's own dynamic creative tools, for example, can test multiple creative variations and progressively favor versions generating stronger results.
This makes DCO a learning system.
Instead of deciding before launch that Creative A is better than Creative B, the campaign earns the answer.
On CTV that might mean discovering that one message generates stronger consideration, another drives more site visits, or a particular creative variation produces greater store visitation or return on ad spend.
Then the campaign changes.
That is enormously valuable.
But it is only half the story.
2. Optimizing the message before the viewer sees it
The second interpretation of DCO begins earlier.
Instead of asking only: What creative is performing best?
It asks: What is most likely to matter to this audience, household or moment?
A campaign might therefore use signals such as:
Audience segment or purchase behavior
Household composition
Location or proximity
Weather
Daypart
Loyalty or lapsed-buyer status
Product availability
Previous exposure
Funnel stage
First-party data
Campaign objective
Those signals can then determine which message, product, benefit, offer or creative treatment appears.
Google describes dynamic creative in essentially these terms today: creative content can change impression by impression using feeds, audience data and targeting rules.
Within CTV specifically, other DCO companies similarly describe the technology as using audience, contextual and performance signals to tailor creative variations to the viewer.
In other words, optimization does not necessarily have to wait until the campaign starts. Some optimization is predictive.
Dynamic and optimization are two different jobs
This distinction matters because the name itself gives us a useful clue.
Dynamic asks what should change.
Optimization asks whether that decision actually worked.
Consider an automotive campaign:
A household identified as an EV intender might see messaging emphasizing range and charging.
A family household might instead see space and safety.
A performance-oriented audience might see acceleration.
That is dynamic creative decisioning.
But suppose measurement subsequently shows that the performance message dramatically outperforms the range message among a particular audience group.
The campaign should be able to learn from that.
Now we are optimizing.
And if those results can influence the next creative decision, something far more interesting happens.
We have a loop, or a feedback loop as we call it.
The next stage of DCO on CTV is the closed loop
This is where we believe dynamic creative optimization on Connected TV gets substantially more powerful.
Before the impression, use data to make an intelligent creative decision.
After the impression, measure what happened.
Then feed that learning back into the next decision.
Audience signal → creative decision → exposure → outcome → learning → better creative decision.
The IAB is increasingly describing creative-level optimization in similar terms. Its recent work around CTV outcome signals points toward conversion data informing not merely media bidding or audience selection, but which messages and creative variations should subsequently be shown.
This changes creative from a finished asset into a living part of the campaign.
And importantly, it changes what marketers can learn. Traditional campaign measurement might tell us that an audience performed well. Closed-loop DCO can begin answering something more valuable:
Why?
Was it the audience?
The offer?
The creative message?
The context?
The product benefit?
The combination of all four?
That distinction matters because the purpose of optimization should not simply be to find a winning ad.
It should be to become better at communicating.
What DCO on CTV should not become
There is, however, a danger in all this technology, because anything that can dynamically change will eventually tempt somebody to change it.
That does not mean they should.
Putting today's temperature over an ad does not automatically make the creative smarter. Nor does inserting a ZIP code, swapping a product image or generating 400 versions of a headline simply because technology makes it possible.
Dynamic does not automatically mean relevant. And relevant does not automatically mean persuasive.
CTV deserves particular care here.
This is television. The screen is large, frequently shared and primarily a storytelling environment. A household data signal is not permission to turn a premium brand spot into a giant personalized banner ad.
The question should never begin with: What can we dynamically change?
It should begin with: Why might this household care, and what should we say differently because of it?
How Origin thinks about Dynamic Creative Optimization On Connected TV
At Origin, we think of DCO from both sides of the equation.
First, we use audience, household, contextual and campaign signals to determine what the most relevant creative message should be.
Then we use measurement and attribution to understand what those creative decisions actually produced.
One is proactive.
The other is reactive.
Together they create something almost 'organic'.
A travel campaign might dynamically surface direct flights based on where a household lives, while emphasizing family experiences to one audience and food or outdoor adventure to another.
Measurement may subsequently reveal that certain combinations generate disproportionately stronger consideration or bookings.
Those learnings can then inform what the campaign does next.
Likewise, a retailer might begin with different messages for loyal shoppers, lapsed buyers and competitive shoppers. In-flight measurement can identify which proposition moves each group most effectively, allowing the campaign to evolve rather than simply repeat itself for six weeks.
The media becomes dynamic. The creative becomes dynamic. And eventually, the learning becomes dynamic too.
From DCO to a creative performance loop
Perhaps that is the most useful way to think about where DCO is heading:
Its first era was about testing creative.
Its next era introduced data-driven personalization.
Its emerging era connects the two.
The result is not simply dynamic creative and it is not simply optimization.
It is a creative performance loop in which what a brand knows influences what it says, what happens next influences what it learns, and what it learns influences what it says next.
Connected TV already has extraordinary intelligence around who to reach.
Measurement is rapidly improving our understanding of what happened after we reached them.
Dynamic Creative Optimization gives us the opportunity to connect the two through the part advertising has historically left relatively static: the story itself.
And that, ultimately, is where we think DCO becomes far more interesting than changing a headline.
If you find this topic interesting and would like to know more, you can schedule a consultation with one of Origin's CTV specialists by clicking here.
ABOUT ORIGIN
Origin is a creative tailor for brands and agencies looking to transform conventional CTV campaigns into personally relevant, emotionally resonant moments at the household level.
Blending human expertise with real-time data signals and objective-led logic models, Origin’s creative technology layers dynamic, audience-specific narratives into a single brand ad - tailoring the message based on the household, the context, and the moment. The result is proven lifts in engagement, intent, and ROAS that consistently outperform category benchmarks.
Founded by media veterans Stephen Strong and Fred Godfrey, Origin is guided by one simple mantra: to win the modern living room, your message needs to say, “we recognize you.”
Learn more at: originmedia.tv
