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Glossary · Campaign types

DCODynamic Creative Optimization

DCO automatically combines creative elements (headlines, images, CTAs) at impression time to serve the best-performing combination per user.

What does DCO actually mean?

Dynamic Creative Optimization (DCO) is the runtime layer that mixes-and-matches creative elements at the moment an ad serves. DCO platforms ingest a set of headlines, images, videos and CTAs and use ML to decide which combination shows to which user.

DCO existed long before AI generators (platforms like Smartly, Celtra and Bannerflow have offered it for years). The value is at scale: a campaign with 10 headlines × 10 images × 5 CTAs = 500 possible combinations, far more than human teams can produce or test manually.

In 2026 the line between DCO and AI ad generators is blurring. AI ad generators produce variations upstream, at generation time rather than impression time. advrt, for example, writes 3–6 distinct angles per campaign and can spin three variations off a winning ad, then tests them as separate ads rather than mixing elements at serve time. Both approaches solve the same problem (creative variety at scale) from different ends of the pipeline.

Example

A campaign uses 8 headlines, 6 images and 4 CTA buttons. DCO serves user A the combination of headline 3 + image 1 + CTA 2 (predicted best for that audience), and user B a different combination, automatically.

When it matters

DCO matters most for high-spend campaigns where creative variety drives incremental ROAS. For smaller budgets, generating distinct creatives upstream is often simpler than running DCO downstream.

Related terms

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