Dynamic Creative Optimization (DCO): What It Is and How It Works

You’re scrolling on a Tuesday afternoon, and an ad stops you, not because it’s flashy, but because it somehow knows exactly what you’re in the market for right now. That’s dynamic creative optimization (DCO) working as intended: a system choosing in real time the combination of image, copy, and offer most likely to catch your attention.

Somewhere behind that ad, a team either worked through the resizes, translations, and approvals for every variation by hand, or a creative automation platform handled it for them. Creative automation platforms such as Celtra generate and adapt ad creative at scale, keeping every variant on-brand through locked templates and approval workflows. Celtra also predicts how each variant is likely to perform before launch, and can serve and personalize the ads through its own ad serving. That way, every variant that reaches a DCO engine is one worth showing.

Key takeaways

• Dynamic creative optimization (DCO) decides which ad variant to serve in real time based on the viewer.
• DCO matters most for media buyers running programmatic and CTV campaigns, and the creative operations teams supplying what those campaigns serve.
• Running DCO at enterprise scale requires 4 things: fast production, consistent brand compliance, pre-launch performance scoring, and creative built natively for every channel a media plan uses.
• Creative automation platforms like Celtra generate and adapt ad creative at scale, generate and adapt ad creative at scale, keep it on-brand through locked templates and approval workflows, and score each variant for performance before it reaches a DCO engine.
• Real DCO campaigns show measurable results: Ovative saw double-digit lifts in purchase intent, and IG cut creative turnaround down to minutes.

What is DCO?

If you’re new to DCO, here’s the short version. Instead of running one static ad, a DCO setup runs many small variations of the same campaign, swapping in different images, headlines, prices, or calls to action based on who’s looking at the ad, where they are, and what’s likely to convert. An algorithm decides which combination to serve, in real time, for every impression, which is what makes personalized advertising possible at scale.

Over the years, that decisioning layer has matured a lot. What hasn’t kept pace is the supply side: producing enough creative variants, in the right formats, checked and approved, to give the DCO algorithm something worth choosing between. A DCO engine can only optimize what it’s handed, and if the creative pool is thin or generic, the algorithm is picking the best of a weak set, no matter how good its decisioning logic is.

In Celtra, creative production for DCO happens in one place. You generate new creative variants using Celtra GenAI, which relies on your brand guidelines, brand kits, and tone of voice as context. Designers then build those assets into templates that lock the layout, fonts, and brand elements, leaving only chosen fields like headlines, offers, or images open to edit. Automation adapts each template across every format, size, and market a campaign needs, and variants can be scored for predicted performance before they go live. What comes out the other end is ready for a DCO engine to serve, with no manual handoffs in between.

Who DCO is for

DCO matters most for teams running programmatic or CTV campaigns across many markets, audiences, or products at once: retail and ecommerce brands with constantly shifting inventory and pricing, financial and travel brands whose offers change daily, and any enterprise advertiser trying to personalize at a scale. Two groups feel this most directly: 

• Media buyers and programmatic teams own the DCO engine itself, the decisioning logic, the targeting, the bidding, and need a steady stream of tested creative to run through it. 
• Creative operations and marketing teams sit upstream of that, responsible for producing, localizing, and approving every version that engine will ever serve. 

What makes DCO work at scale

Audience targeting and creative decisioning have run programmatically for years, and they run well. Creative supply is the layer completing that picture: making sure there’s enough tested, on-brand, high-performing material for a DCO engine to actually choose from. At enterprise scale, that requires four things.

Production that keeps up

A DCO engine can serve thousands of variant combinations per campaign. Manually designing, resizing, and exporting that many assets isn’t realistic on a normal timeline. Celtra uses templates and GenAI to generate and adapt that volume in hours instead of weeks, so a DCO engine has enough variants to optimize across, rather than rotating through the same handful.

Staying on-brand at scale

Speed only helps if what ships is still correct. Every variant needs to stay on-brand and clear legal review before it enters a DCO rotation, and checking that by hand doesn’t scale past a handful of markets. In Celtra, designers build templates where the layout, fonts, and brand assets stay locked, so teams adapting them can only change the fields left open. Compliance guardrails sit at the template level, and built-in review and approval workflows give brand and legal teams sign-off before anything reaches a DCO engine.

Picking the right variant

DCO decisioning picks from whatever creative pool it’s given, but it doesn’t tell you in advance whether that pool is any good. Celtra’s pre-flight scoring predicts how each variant is likely to perform against your campaign goal, so weak options can be cut before they enter rotation.

Creative for every channel

A DCO engine serving CTV needs different specs than one serving social or display, and enterprise campaigns usually run across all three at once. Celtra builds native creative for CTV, social, display, and programmatic simultaneously, with consistent branding across every format.

DCO in practice

It’s one thing to describe how this is supposed to work. It’s more useful to see it running: Celtra supplying the variants, a DCO engine deciding which one to serve in the moment. Here’s what that looks like for two enterprise teams already running it this way.

Ovative: CTV creative that reads the forecast

Powersports buyers plan around the weather, and a sunny-day ad for an off-road vehicle lands very differently on a morning when snow is piling up outside. Ovative built on that insight with a connected TV campaign for a powersports and recreational vehicle brand. Celtra powered the dynamic creative, and The Trade Desk handled programmatic delivery across premium CTV inventory. Each ad pulled in a background matched to local conditions (sunny, snowy, or rainy), along with a map pointing viewers to their nearest dealership. People watching saw an ad that fit the view outside their window that day, with a clear next step, a short drive away. The campaign lifted consideration by 12.2%, brand favorability by 10.7%, and purchase intent by 11.9%.

IG: Ads that move with the market

In online trading, prices can swing several times in 72 hours, and 72 hours was how long IG used to wait for updated ad creative. After more than five years with Smartly, the team needed a faster way to keep its messaging in step with the markets it covers. IG moved to Celtra and connected its templates directly to live financial data, so ads across paid social and programmatic display now update as prices move. A creative update that once took three days now takes about 4 minutes. IG runs personalized, market-accurate ads in 8 markets and has delivered 290 million impressions, all within the compliance standards a regulated financial brand has to meet.

Creative used to be the fixed input in an otherwise dynamic system. Once it can be generated, adapted, kept on-brand, and scored before launch, it can respond as quickly as the media around it. 

Whether your DCO runs through a DSP or through Celtra’s own ad serving, the limit on performance usually sits upstream. It comes down to how quickly new ad creative can be produced, approved, and pushed into rotation when a market moves or an audience shifts. A good place to start is the campaign where your creative goes stale fastest. Connect it to the data that should drive it, and see what your DCO setup can do with a stronger pool of creatives to choose from. Book a demo with our team today.