Case Study: a leading non-profit organization achieves faster, data-driven video persuasiveness prediction with NeenOpal

Leading Non-Profit Organization - Customer Case Study

The leading non-profit organization faced significant challenges in evaluating the effectiveness of its high-cost video campaigns. Their manual, slow, and expensive impact testing process meant most videos went untested, creating a high-risk content strategy with unpredictable returns. NeenOpal was engaged to develop a solution to this problem.

NeenOpal implemented a GenAI-powered video analysis platform built on AWS Bedrock, using multimodal models like Pegasus and Claude 3 Sonnet. The solution automatically extracts persuasive features from videos and predicts an impact score. This enabled the organization to evaluate 100% of its video assets, reduced testing costs by over 70%, accelerated evaluation by 90%, and improved audience targeting accuracy by three times, thereby eliminating 75% of wasted production investment.