The news: Meta has rolled out a range of updated, AI-powered ad creation tools designed to streamline the creative process.
The headline feature introduces multi-media ads within Meta Ads Manager, allowing advertisers to upload up to 10 images and videos into a single ad set. Meta’s AI system automatically mixes and matches these varied creative elements, supporting a blend of different asset types and aspect ratios to generate multiple promotional variants. While the process is automated, advertisers can still manually customize settings like cropping, text, destination URLs, and placement.
Why it matters: This update marks a shift away from manual placement management and creative segmentation. Because running a campaign across different formats requires building separate ads for each specific placement, this new Meta system allows the algorithm to do the testing for you, serving the optimal combination of assets to the right audience.
"When you create a new ad or campaign using the updated creative workflow, you don't need to create separate ads for different placements or audiences. Instead, you can upload all your assets into a single ad and let Meta handle delivery automatically." The company said in a blog post. "The more creative options you provide, the more opportunities the delivery system has to optimize your delivery and performance."
The shift toward automation is backed by hard performance data: Meta recently said average revenues per Meta ad has increased by 25% since 2022, credited to AI-driven improvements. EMARKETER forecasts that US Meta social ad revenues will reach $101.68 billion this year and projects $138.85 billion by 2028, accounting for 76% of total social network ad spending.
Implications for marketers: For performance marketers, tools like these can reduce the time spent on backend asset configuration. Instead of manually building out individual variations for Feeds, Reels, and Stories, marketers can input their high-performing base assets into a single workflow. Meta’s delivery system then ensures creative variations appear in the specific placements where they are statistically most likely to convert. This maximizes asset utility, minimizes manual setup friction, and leverages Meta’s improved AI efficiency to boost overall ad performance.
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