Dynamic Creative Optimisation (DCO): What It Is and When to Use It

What is Dynamic Creative Optimisation?

Dynamic Creative Optimisation (DCO) is a method of building ads from modular components that are assembled in real time. Images, headlines, calls to action and offers are treated as interchangeable parts, so one template can produce many personalised variations without designing each one by hand.

The assembly decision can be driven by:

• Audience segment: demographics, interests, purchase history and browsing behaviour.
• Context: the site environment, weather, current events or other surrounding factors.
• Time, location or behaviour: time of day, geography, device type, previous interactions or stage in the customer journey.

This makes DCO most useful for campaigns reaching diverse audiences across several channels, where message relevance affects performance.

Why does DCO matter?

DCO helps in four main ways:

• Personalisation without a pile of static assets. One template can generate hundreds of variations, which reduces design workload.
• Faster testing and iteration. You can run A/B tests at scale, find winning elements sooner and shorten optimisation cycles.
• Better relevance and efficiency. The most suitable creative is shown to each user, which supports engagement and conversion.
• Reach across channels. It works across display, video, social and programmatic, adapting elements to each platform while keeping the brand consistent.

Platform choice matters too. Adform Creative Studio, Google Studio via CM360, Meta's Advantage+ Creative customisation and DV360 rich media integrations each support dynamic creative in different ways, so check what your existing tech stack already allows before you commit.

How does DCO work?

The process has four steps:

1. Build templates with placeholders. Designers create flexible layouts with set areas for images, text, calls to action and offers, keeping the brand consistent.
2. Set rules and logic. Business rules, audience segments and signals such as location, weather, time and device are mapped to content variations.
3. Assemble and deliver. When an impression becomes available, the platform reads the signals, picks the elements, builds the ad and serves it, all in milliseconds.
4. Report and learn. Analytics show how each variation performs, and the results feed back into future decisions.

The cycle repeats, so the campaign keeps improving without anyone producing hundreds of individual ads.

How is DCO different from standard creative?

Standard creative stays simpler for basic campaigns. DCO pays off when you need personalisation at scale.

What goes into a DCO template and what data drives it?

A typical template has a background image or video, a headline or message slot, a call-to-action button, a fixed logo area and dynamic fields for things such as location, product, time or offer. The logo stays stable so the brand is recognised whichever version is served. Headlines need to cope with different text lengths, and every component needs clear rules about what can change.

Common data inputs include:

• Geo-targeting, such as city-specific offers.
• Behavioural segments, such as people who viewed a particular product.
• Audience persona, such as student or retiree.
• Time of day or day of week.
• Weather or other external triggers, including seasons and events.

The strongest setups combine several signals. For example, a New Zealand retailer might show different regional offers in Auckland and Christchurch, or a tertiary provider might highlight different programmes depending on what a visitor has browsed.

When should you use DCO, and when should you not?

DCO suits campaigns where:

• You have multiple audience segments or locations.
• You want to automate rotation or testing.
• You run ongoing campaigns with creative fatigue risk.
• You have a product catalogue or inventory that changes.

Avoid DCO when:

• You only need a few assets. Setting up DCO for three to five variations adds complexity and cost.
• You lack a clear audience strategy. Without defined segments and signals, DCO becomes random content swapping.
• The campaign runs under two weeks. There may not be time to learn and optimise.
• You have no creative team able to build flexible templates.

How do you build a DCO strategy?

Work through these steps, then repeat:

1. Define audience segments and the triggers that activate each variation.
2. Map creative logic to those segments, using a decision tree for which elements change.
3. Build master templates with flexible layouts for different text lengths and image ratios.
4. Connect your DMP, CDP or URL parameters to feed the decisioning.
5. Monitor variation performance and refine segments, assets and rules.

Keep the creative disciplined. Design for modularity, avoid too many combinations by starting with three to five variables, keep brand identity consistent across variants, and set logic that gives priority to messages that have already tested well.

Data feeds can come from Google Sheets, product feeds or CRM exports. Whatever the source, check that dynamic fields are clean, compliant and error-free, and agree formats and update schedules with your platform or vendor.

What are the watchouts, including privacy?

Plan for these common hurdles:

• Approval timelines: allow for several review cycles, especially in regulated sectors such as finance and health.
• Data feed integrity: outdated or badly formatted feeds produce irrelevant ads, so add automated checks and fallbacks.
• Team alignment: creative, media, data and tech teams must work from one workflow.
• Platform limits: not every platform supports advanced DCO natively.
• Measurement and technical set-up: standard testing may not capture DCO impact, and complex rules need technical expertise.

On privacy, avoid using PII. Build around anonymised segments or contextual logic, comply with the NZ Privacy Act 2020, and review your set-up regularly.

Track results by segment, format and size, message variant, placement and time. Reporting should show which headlines drew the highest click-through rate, which audience and message pairings had the lowest cost per acquisition, and how templates perform on mobile versus desktop.

Frequently asked questions

Written by the KBR team, an independent media and digital agency in Auckland and Christchurch.