CREATIVE
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CONTEXT
Marketers today are wasting spend chasing performance in systems that optimize either media or creative, but never both. Demand-side platforms (DSPs) optimize supply, and creative tools optimize assets. The result? Slow learning, stale creative and lost relevance. The key here is to predict how those two elements interact.
Predictive creative AI, when fused with granular supply intelligence, changes the game for marketers.
We’re not just optimizing assets, we’re shaping experiences. Predictive creative lets us be expressive, then ensures that each expression meets the audience in the right context. In one campaign, every version captured a different emotional cue, and predictive AI showed us where each one truly resonated. It felt less like testing, more like unlocking connection.
— Lorena Ospina, VP Creativelab, Yieldmo
As it stands, DSPs are trying to get the most reach and find the cheapest supply. Creative tools can make a brand’s assets big, bold and beautiful, but they're not tied to the actual media that's being purchased. Predictive Creative AI, however, models performance across micro moments, or context within the supply, helping to tie the right creative with the right media to reinforce a relevant message. Yieldmo is built on a foundational AI layer that can process all this data and make predictions before the campaign runs.
Connect media
creative
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Predictive Creative AI fuses creative and media, which drives increased performance and insights. We are fusing the contextual understanding of the page and tailoring that creative to the page. We do that based on a semantic understanding of the page, with real world attention signals. Are you scrolling it, are you touching it, are you lingering there, are you swiping? — Eric Shiffman VP, Product Marketing, Yieldmo
Predictive Creative AI makes it easy for brands to plan for where their ads will show without just reacting.
The future of ad optimization is predictive, not programmatic
Before Predictive Creative, we couldn’t always control how or where a message showed up. Creative made assumptions, and media chased efficiency. Now, they’re part of the same conversation. We design variations rooted in brand strategy, and AI maps them to real attention signals in real environments. That connection helps each idea land with the right audience in the right moment. Our creative feels more intentional, and our outcomes more consistent. — Lorena Ospina VP, Creativelab, Yieldmo
55%
A top auto brand saw a
increase in attention rate while using Predictive Creative AI
When I’m building creative variations, I’m looking for emotional cues and strategic angles. Predictive Creative shows me which ones are striking a chord, and where. That makes iteration a creative process, not just an optimization task.
— Lorena Ospina VP, Creativelab, Yieldmo
No more throwing it against the wall seeing what stickS
Dynamic creative optimization (DCO) relies on predefined rules or decision trees. It demands endless asset permutations, and can disrupt the integrity of the brand’s core creative. DCO works by triggering what you’ve put on a spreadsheet, but it can’t optimize for other elements you might not have thought of. It takes hard work and a lot of coding. You can approve the template and the inputs in your spreadsheet, but you don’t control the final assembly. Overall, it feels clunky–and is much more costly–compared with AI.
Predictive Creative AI can work from a single master file, so you don’t need more assets. The system’s models predict which variation will work best in a given environment, so you don’t need to set up rules. And the tech adapts to context without altering core creative, so you don’t need to worry about the brand’s voice. Any Gen-AI influenced creative is also reviewable and approvable in advance for maximum comfort.
Predictive creative AI surpasses DCO
This isn’t DCO 2.0. It’s smarter than that. Yieldmo predicts creative performance across extremely narrow slices of supply—before spend—so marketers can skip the guesswork and launch with higher confidence and less waste. It’s an optimization layer that works because of our deep semantic supply understanding.
— Eric Shiffman, VP, Product Marketing, Yieldmo
The Ad Council, in collaboration with the Humane Society of the United States and Maddie’s Fund, lifted campaign performance significantly using Predictive Creative AI and DSP optimization.
171%
A more personalized
(but privacy-safe)
FUTURE
Marketers should start thinking about creative strategy as data strategy. Creative and media work best when advertisers know where their creative will run and how they can tailor it to the environment. They should know if a certain iteration performs well in a particular pocket of inventory, or a different version is going to crush it on an above-the-fold specific article, and how to keep buying that combination in that slot. AI tools will continue to serve up ways to make this all easier on marketers.
Yieldmo is leading the charge on this, proving that creative can be both scalable and specific, as long as you have the right supply intelligence feeding the system.
— Lorena Ospina VP Creativelab, Yieldmo
Things will get more personalized, and you can still have a human in the loop until you're comfortable allowing AI to do things on your behalf. The cost of creative production is going down because of AI. We have the ability to run a lot more tests, but we still want to keep it all centered on the human. It’s important to honor the purpose of the brand and find different ways to enhance it in different environments. As the AI tools get better, we keep rethinking how we're going to take advantage of all of that.
— Eric Shiffman, VP, Product Marketing, Yieldmo
Ad Age Studio 30 is the creative content arm of Ad Age. Built on the same bedrock of journalistic integrity, Ad Age Studio 30 specializes in multichannel membership content for Ad Age subscribers, as well as custom and sponsored content that resonates with our audience. To partner with Ad Age Studio 30, email Paul Pham at Paul.Pham@adage.com.
Yieldmo is an advertising platform that helps brands invent creative experiences through tech and AI, using custom ad formats, proprietary attention signals, predictive format selection, and privacy-safe premium inventory curation.
Yieldmo believes all ads should be human-centered, tailored, and provoke users’ emotions and actions. Yieldmo helps brands deliver the best ad for every impression opportunity, merging creative and media for proven results.
ABOUT
ABOUT
A brand might have various creatives running at the same time, because they’re trying to use everything that might work. This makes it harder to catch what’s really happening and which creative succeeds in which situation. Plus, it wastes a lot of time and money. Yieldmo’s Predictive Creative AI can show that in this specific context, with this type of audience, a specific creative performed better.
We can refine which creatives are running based on that information, and we can then do better next time. Or you learn that you need to have multiple variations in your buy to capture those little pockets where they’ll perform better. It’s this very granular, scalpel approach rather than a hatchet or a chainsaw.
— Eric Shiffman, VP, Product Marketing, Yieldmo
You’re not just testing the color of a button, sending it out into the ether and hoping it drives a tiny little performance benefit. On each individual ad slot, there’s a different opportunity for the best possible experience.
— Eric Shiffman VP, Product Marketing, Yieldmo
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Read more from VP, PRODUCT MARKETING
Read more from VP of PRODUCT MARKETING
Read more from VP, creativelab
Read more from VP of PRODUCT MARKETING
We’re not just optimizing assets..
Marketers need to know where their ads will show up, so they can shape their creative for best performance. What works on Facebook does not always work on every website and every circumstance with every audience.
Predictive creative AI fuses creative..
When I’m building creative variations..
We can refine which creatives are running..
This isn’t DCO 2.0. It’s smarter than that..
Yieldmo is leading the charge on this..
Things will get more personalized..
PRESENT
45%
Predictive Creative AI yields a
KPI post-auction lift on average
Since this is post-auction, it doesn’t affect media spend. And it increases scale by making the creative eligible to serve at additional sizes.
We’re not just optimizing assets, we’re shaping experiences. Predictive creative lets us be expressive, then ensures that each expression meets the audience in the right context. In one campaign, every version captured a different emotional cue, and predictive AI showed us where each one truly resonated. It felt less like testing, more like unlocking connection.
— Lorena Ospina, VP, Creativelab, Yieldmo
Before Predictive Creative, we couldn’t always control how or where a message showed up. Creative made assumptions, and media chased efficiency. Now, they’re part of the same conversation. We design variations rooted in brand strategy, and AI maps them to real attention signals in real environments. That connection helps each idea land with the right audience in the right moment. Our creative feels more intentional, and our outcomes more consistent. — Lorena Ospina VP, Creativelab, Yieldmo
We can refine which creatives are running based on that information, and we can then do better next time. Or you learn that you need to have multiple variations in your buy to capture those little pockets where they’ll perform better. It’s this very granular, scalpel approach rather than a hatchet or a chainsaw.
— Eric Shiffman, VP, Product Marketing, Yieldmo
Things will get more personalized, and you can still have a human in the loop until you're comfortable allowing AI to do things on your behalf. The cost of creative production is going down because of AI. We have the ability to run a lot more tests, but we still want to keep it all centered on the human. It’s important to honor the purpose of the brand and find different ways to enhance it in different environments. As the AI tools get better, we keep rethinking how we're going to take advantage of all of that.”
— Eric Shiffman, VP, Product Marketing, Yieldmo
Yieldmo is leading the charge on this, proving that creative can be both scalable and specific, as long as you have the right supply intelligence feeding the system.
— Lorena Ospina VP Creativelab, Yieldmo
Before Predictive Creative..
Every impression served by Yieldmo’s creative generates about
80 signals 5 times per second
Marketers today are wasting spend chasing performance in systems that optimize either media or creative, but never both. Demand-side platforms (DSPs) optimize supply, and creative tools optimize assets. The result? Slow learning, stale creative, and lost relevance. The key here is to predict how those two elements interact.
While it’s essential to test creative variations and iterations, the process can be time-consuming and frustrating. An ideal system would understand all of the marketer’s inputs and be able to tell what creative experience will work best for the person consuming the ad combined with everything happening–from user attention signals [swipes, tilts, touches, clicks] to device type, connection type, time of day–when the impression occurs.
Predictive Creative artificial intelligence solves this by modeling performance across micro-contexts of supply, not just channels or formats. This predicts how each creative will perform in a specific environment, based on real-world attention signals like scroll depth, viewability and interaction rates, as well as a rich semantic understanding of the page. It’s done before launch, so you’re not spending dollars to learn what did or didn’t work, though it improves throughout the campaign with ongoing refinement.
While it’s essential to test creative variations and iterations, the process can be time-consuming and frustrating. An ideal system would understand all of the marketer’s inputs and be able to tell what creative experience will work best for the person consuming the ad combined with everything happening–from user attention signals (swipes, tilts, touches, clicks) to device type, connection type, time of day–when the impression occurs.
Predictive Creative artificial intelligence solves this by modeling performance across micro-contexts of supply, not just channels or formats. This predicts how each creative will perform in a specific environment, based on real-world attention signals like scroll depth, viewability and interaction rates, as well as a rich semantic understanding of the page. It’s done before launch, so you’re not spending dollars to learn what did or didn’t work, though it improves throughout the campaign with ongoing refinement.
