A Breakdown of Meta’s New AI Tools for Images and Videos

Meta is stepping up its AI game by introducing new AI-powered video editing tools for advertisers. As Meta increasingly automates bidding and targeting, creative becomes even more critical for differentiating ad performance. 

The latest AI tools—focused on images and videos—make it easier for advertisers to iterate on existing creative assets and produce fresh content quickly.

What’s New?

Meta’s new AI video editing tools include:

• AI Animation: This tool allows advertisers to animate static images, converting them into engaging video ads.
• AI Background Expansion: Advertisers can now expand the background of existing videos, effectively resizing them for various placements without losing quality.

With these updates, advertisers can test more creatives faster, using the same winning content but in new formats. This is particularly important given that creative testing remains one of the most significant levers for boosting performance on social platforms like Meta and TikTok.

Why These Tools Matter

Creative has always been a major driver of performance in paid social, but with Meta’s push toward automated bidding and targeting, it’s now one of the few areas where advertisers can actively influence results. These new AI tools allow for faster, easier creative testing—especially for brands that may not have a steady flow of new assets.

Note that while creative testing can drill down into minutiae like ad background color, it’s important to test different messaging themes, pain points, and benefits to see what resonates. The time you save with AI tools can also be repurposed to test different visual themes, like the product shown in context or in isolation or adding motion to previously static images.

Use Cases to Explore

According to our team, some of the key use cases for these AI tools include:

• Animating Top-Performing Images: By adding animation to top-performing static images, advertisers can create fresh video content without starting from scratch.
• Expanding Video Backgrounds: The AI background tool is useful for adapting videos to different ad placements, creating various size formats from a single creative.
  
  

How Often Should You Test Creative?

Creative testing frequency depends largely on budget, but as a rule of thumb, we recommend testing new creatives once a week or every other week. Larger budgets allow for more frequent testing, but the key is to consistently refresh your creative assets to avoid ad fatigue.

Key Benefits of Meta’s AI Tools

• Ease of Use: These AI tools are perfect for brands that don’t have a dedicated creative team or a steady pipeline of new assets.
• Quick Iterations: Advertisers can now iterate on existing assets much faster, allowing for continuous creative optimization.
• Cross-Placement Adaptability: The ability to resize videos using AI ensures your ads can be optimized for all placements, improving your chances of reaching the right audience.
  
  

Final Thoughts

Meta’s new AI creative tools are promising resources for advertisers looking to maximize the performance of their ad campaigns. We recommend testing the tools now to find ways to refresh your creatives and stay competitive in a fast-moving landscape.