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tvScientific by Pinterest launches AI tool to optimize CTV ad creative

tvScientific by Pinterest launched Creative Advisor, an AI tool that scores TV ad creative before spend. CEO Jason Fairchild predicts it could more than double TV ad performance.

On June 15, 2026, tvScientific by Pinterest launched Creative Advisor, an AI-powered tool that scores and refines television ad creative before media spend begins, aiming to cut the trial-and-error that often drains campaign budgets.

How Creative Advisor works

Creative Advisor evaluates video ad elements-messaging, audio, logo visibility, and calls to action-using AI trained on years of real-world connected TV (CTV) data. It assigns a "Creative Strength" score and delivers predictive recommendations to lift performance before deployment. A human creative services team supports the technology, offering guidance on turning those insights into production-ready changes.

Performance accountability comes to TV creative

For years, search and social advertisers have tested, scored, and optimized their creative with the same rigor they apply to audience targeting and bids. tvScientific by Pinterest now brings that performance-marketing playbook to television, an area where connecting creative choices to business outcomes has remained stubbornly difficult. The new tool makes creative quality a measurable driver of return, not a gamble.

It's the latest signal that AI for Marketing is advancing beyond audience and bid management to shape the creative work itself. Advertisers under pressure to justify every dollar can now see which elements of a video ad move the needle, whether a logo appears early enough or a call to action lands with enough clarity.

"I predict this degree of element-level optimization, combined with advances in ML-based CTV optimization technologies, will more than double performance for TV advertisers in the foreseeable future," said Jason Fairchild, CEO of tvScientific by Pinterest.

Why this matters for creatives

The shift moves creative professionals from relying solely on intuition and post-campaign reports to a model of continuous, data-informed iteration. Instead of waiting weeks to learn whether a concept worked, teams can score multiple versions before a single dollar is spent and refine work quickly.

Creative Advisor also raises the bar for what clients will expect. As AI-driven creative scoring becomes standard, familiarity with tools that blend human judgment and machine feedback is turning into a baseline skill. Professionals looking to build that capability can find guidance through resources focused on AI for Creatives, which cover how to integrate AI feedback into design and production workflows without sacrificing originality.

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