$10 Million Lost A/B Testing TV Commercials & Video Marketing

Are you relying on A/B testing for your video content and TV commercials? This video reveals why that is a risky strategy. We dive deep into the challenges of creating a fair control for A/B testing and, more crucially, the massive uncertainty in choosing what elements to test. With video’s inherent complexity and the high cost of production, A/B testing in this domain can be an expensive gamble. Did you know that, compared to Search Engine Marketing (SEM), video content incurs an 1800x higher cost to learn from A/B testing? But there’s hope! Discover how Videoquant’s revolutionary AI method transforms this landscape, reducing test sizes dramatically by leveraging data on what’s already failed for others. This isn’t just theory; using Videoquant can potentially save $2.4 million per $10M spent in media. Tune in to uncover how you can make smarter, data-driven decisions in your video marketing strategy.

Most TV & video ads have anemic results; ~80% is caused by non-ideal creative strategy. VQ is a patent-pending system to avoid ineffective video concepts using outcomes data from 10M+ TV ads and online videos.


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