how to make AI animations ads that print (full workflow + skill)
Mark provides a complete 6-step workflow for creating profitable AI animation ads, from research and swiping competitor ads to scripting, storyboarding with Claude AI, and generating assets using image-to-video models. He emphasizes that the goal is creating enough contrast to drive conversions rather than photorealism, and identifies three common failure points: weak funnels, poor ad concepts, and inability to read performance data.
Summary
Mark walks through his complete process for creating AI animation advertisement videos that generate sales. The workflow begins with research using foundational documentation to deeply understand customer pain points and emotional triggers, emphasizing that using a customer's own language is critical for conversion. Step two involves finding and analyzing competitor ads (swipes) that are provably profitable and scaling, using platforms like GetHooked to find ads with 150+ active variants. Step three focuses on scripting by uploading research documents to Claude AI, analyzing successful competitor scripts, and rewriting them while maintaining voice of customer authenticity. The critical step four is "chiefing" the ad—reviewing for clarity, customer voice, and readability to ensure it feels like communication from an individual rather than a corporation. Step five introduces storyboarding, which Mark identifies as the single greatest point of failure for video ad creators. He demonstrates using a custom Claude Code skill that automatically breaks down scripts into individual clips with timestamps, voiceover text, image-to-text prompts, image-to-video prompts, and audio specifications. Step six involves asset generation, where he uses Midjourney to create starting frame images and Runway's Omni model for cost-effective image-to-video conversion (choosing it over Sora due to pricing). Mark emphasizes that Omni provides the best balance of cost and efficiency despite Sora being technically superior. The final editing is minimal since AI-generated content is already visually compelling. Mark concludes by identifying three reasons this process might still fail: weak funnels that don't convert traffic into sales, poor ad concepts or missing copy ingredients (unique problem/solution mechanisms, big ideas), and inability to interpret performance data—treating ad spend as buying data rather than losing money. He promotes Brand Builder Academy as his solution for hands-on help with data interpretation and optimization.
About this episode
Apply for my mentorship Brand Builders Academy: https://www.ecommercescalingsecrets.com/bba-direct-opt-in-yt?el=mark_bba_aianimationads_ytd&htrafficsource=youtube_description&traffic_source=youtube_organic Foundational docs: https://docs.google.com/document/d/1i4TclH39sa18qxqRdHyO6a1GETSA4y2n9aK8p2TWQbc/edit?tab=t.0 Swipe File: https://app.gethookd.ai/share/board/176699?signature=2fa16b95a36157f0df76642ed0810b3a9fb4c4ef911ff77c0da611d59dc2ff7d DM me on IG: https://www.instagram.com/markbuildsbrands/ Join my free email list: https://runmoreads.com/?el=mark_rmanewsletter_aianimationads_ytd&htrafficsource=youtube_description&traffic_source=youtube_organic Join my Telegram Group: https://t.me/+UljNFCorvXw5MWNh
Key Insights
- Mark argues that the goal of AI animation ads is not achieving photorealistic appearance but rather creating enough visual contrast to capture attention and drive clicks and purchases, directly contradicting the early obsession with realism when AI video models first emerged.
- Mark identifies storyboarding as the single greatest point of failure for video ad creators because it requires significant trial and error to generate perfect clips, causing people to waste hours without proper planning structure.
- Mark claims that many people using competitor ads as swipes are engaged in 'the blind leading the blind' because brands in ad libraries often don't actually understand what makes their own ads convert, leading to failed emulation.
- Mark asserts that founders should view paid ad spending as buying data rather than losing money, and that most entrepreneurs fail because they cannot read or interpret performance data correctly—it requires learning an entirely new language.
- Mark recommends using Runway's Omni model over Sora for image-to-video generation specifically because it provides the best balance of cost efficiency and quality, despite Sora being technically superior, acknowledging cost as the limiting factor for high-volume ad production.
Topics
Transcript
[0:00] Hey guys, Mark here. In this video, I'm going to be showing you how to make AI animation ads that print. By the end of the video, you're going to know how to make ads that look a little something like this. >> I'm Hashimoto's. I've been attacking your thyroid quietly for years. I break the conversion of T4 into three inside your liver and turn it into reverse T3 instead. >> When the first powerful AI video models came out, everybody was obsessed with one thing, and that was making AI ads look as realistic as possible. But I'm here to tell you, the goal was not realism. It was always just to create enough contrast to get…
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