How agentic AI powers creative performance

Advertisers utilizing Amazon Ads today have access to richer signals than ever: authenticated reach, real shopping behaviors, and streaming engagement tied to real households. Acting on those insights creatively, at the speed and scale modern campaigns require, has been the harder problem.

Amazon Ads Creative Agent now makes it possible to produce signal-informed creative variants across streaming TV, display, and video—in hours rather than weeks. Yet many advertisers still use signal intelligence only for reaching audiences, while creative remains generic. The audiences are precise. The messages are not.

Agentic AI tools connect signals to decisions and take action toward defined goals. In the context of Amazon Ads, that means translating shopping, browsing, and streaming signals into creative strategies that evolve continuously based on performance, building a cycle where audience intelligence shapes the creative itself, not just who sees it.

Tip 1: Tailor your unique value proposition to the moment

Product-market fit is not static. It shifts constantly based on the competitor set and the specific audiences you are reaching. Your biggest opportunity is to match a unique selling proposition to each customer segment in a way that resonates with where they are in their customer journey.

When reaching audiences who may be comparing your product against competitors, emphasize where your product genuinely stands out, whether that is on features, aesthetics, price point, or functionality. Messaging for audiences with no category familiarity should differ significantly from audiences nearing purchase.

Consider a premium beef jerky brand. Before, the brand served a generic "High-Protein Snack" ad to all segments regardless of intent. By rethinking creative at the audience level, they shift to a "100% Grass-Fed" message for shoppers already browsing the category, emphasizing superior quality over processed alternatives, while upper-funnel audiences unfamiliar with the brand receive a "No Junk. Just Beef." message to introduce the brand through simple storytelling focused on clean ingredients. The message shifts based on who is seeing it and why.

Implementing this means moving away from responsive retail media ads that pull generic product detail page content, and toward ad types with granular creative control and more intentional line-item structure so tailored creative reaches the right segments. Agents are critical here, synthesizing unstructured signals to align component-based ads with selling propositions at scale. Amazon DSP makes this level of precision manageable.

Tip 2: Analyze creative assets across channels instead of in silos

Most advertisers rely on publisher-side dynamic creative optimization for its performance benefits within a given channel but are not synthesizing insights across channels. The result is performance plateaus, inconsistent cross-channel results, and creative briefs that never quite get ahead of the problem.

Amazon Marketing Cloud surfaces which creative drove outcomes across the full purchase journey, making it possible to spot patterns that channel-by-channel reporting would miss. As an Amazon Ads partner, Skai takes this further with our Creative Attributes Intelligence, analyzing performance at the atomic level to detect which specific elements—like background color, number of people, and messaging tone—drive results.

Take a premium smart speaker brand trying to reach audiophiles at a $400 price point. Using Creative Attributes Intelligence across Amazon DSP, paid social, and connected TV channels, the brand could discover that videos showing a male between 35 and 55 relaxing in the first five seconds drive 15 percent higher click-through rates among high-fidelity audio enthusiast segments, and that blue-dominant banner backgrounds boost add-to-cart conversions on Amazon DSP by 8 percent versus other colors. Once those winning attributes are identified, tools like Amazon Ads Creative Agent make it possible to act on them at scale, producing signal-informed creative variants across streaming TV, display, and video, tailored to different audiences.

Tip 3: Connect streaming TV exposure to lower-funnel outcomes

Connected TV (CTV) campaigns are often planned and executed in isolation, resulting in misallocated budget, ad fatigue, and no clear line between upper-funnel exposure and lower-funnel results.

Consider a quick-service restaurant brand running a mass-reach CTV campaign without universal frequency caps. Viewers see the same ad more than 30 times, driving up CPM with no incremental action. An agentic approach phases this differently: a general limited time offer ad reaches sports viewers capped at a household frequency of three. Households that hit that cap or have already been exposed to 10 or more banner ads within the past week are excluded from further CTV spend and transitioned to a lower-funnel Sponsored Display ad with a specific coupon code. Budget shifts from diminishing impressions to conversion-focused offers reaching warm audiences.

Amazon Marketing Cloud insights allow Skai to analyze performance on a deeper level to recommend and apply optimal line-level frequency caps automatically, so advertisers are not left making expensive judgment calls on their own.

How to put this capability to work

The technology exists today. The Amazon Ads authenticated graph connects audiences and households through trusted relationships across Amazon’s shopping, streaming, and entertainment properties. Agentic AI tools like Creative Agent provide the insights and creative generation capabilities to act on it. Advertisers who adopt these capabilities now will not just run better individual campaigns but can help close the gap between brand-building creative and measurable business outcomes.

Precision and scale are no longer in conflict. The operational infrastructure to act on both, at the same time, is what opens up significant opportunities for the next generation of advertisers.

Kevin Weiss, VP of Commerce Media, Skai

Kevin Weiss is the VP of Commerce Media at Skai and has over a decade of experience in ecommerce and digital. Before joining Skai, he was a managing partner of an Amazon-focused marketing agency in Boulder, Colorado, where he helped the company reach #182 on the Inc 5000 list before it was acquired. He has deep subject matter expertise in commerce and is passionate about growing teams and clients alike.