What problem does it solve?
Neuro-testing predicts audience brain responses to ad creatives so teams can identify high-potential assets before committing media dollars, reducing wasted ad spend and speeding creative iteration.
Core Features & Use Cases
- Neural pre-testing: Runs Tribe v2 predictions on images, short videos, audio, and text (images converted to 3s video) to estimate attention, emotion, memory, decision engagement, comprehension, and reward.
- Composite scoring & ROI mapping: Normalizes ROI-oriented ROI metrics, applies a weighted composite formula, and maps scores to deploy/test/iterate/skip decisions.
- Flexible execution: Supports local GPU inference, Google Colab fallback, or quick visual checks via the Meta AI demo; includes cache, calibration, and troubleshooting guidance.
- Use case: Pre-filter a set of five ad variants to deploy the top neural-scoring creatives and calibrate weights over campaigns to improve CPA predictions.
Quick Start
Score the creative file 'hero_ad.mp4' with neuro-testing and return normalized attention, emotion, memory, decision, comprehension, reward, composite score, and a deployment verdict.