In an industry where 70% of CMOs lack confidence in creative performance before launch, MahaloHub introduced the Predictive Resonance Score™ (PRS), a new AI-powered metric that helps marketing teams understand how strongly a message or concept will resonate with its audience before investing in production or media.
PRS is built into MahaloHub’s Clarity platform and gives marketers a fast, cost-efficient way to identify which content is most likely to land, without the expense and delays that come with traditional focus groups or research studies.
Using short video or audio reactions, PRS analyzes real human responses and delivers a single score that reflects how deeply content connects across emotional impact, clarity, trust, and likelihood to share. The platform then provides specific, actionable recommendations to revise messaging to increase the PRS score and maximize audience connection.
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Replacing “We Think” With “We Know”
Global research shows brands lose up to $245 billion each year on advertising that fails to capture attention or drive resonance [Source: Kantar/WARC]. PRS gives marketers access to validated, pre-market insight that increases confidence in campaign decisions, protects marketing investment, and accelerates ROI.
“Creative decisions used to be driven by intuition: ‘we think this will work,'” said Patrick Rooney, Founder & CEO of MahaloHub. “The Predictive Resonance Score gives teams an independent, third-party resource to more accurately understand how people react to their message – before they launch, commit budget, or lose the chance to adjust. That’s the difference between launching campaigns with the confidence they’ll be successful, versus hoping they will.”
A Single Score Designed for Decision-Making
PRS evaluates facial expressions, vocal tone, emotional signals, and language patterns to measure how strongly a message connects, and why. Instead of asking audiences how they feel, PRS measures how they respond, making it a fast and scalable alternative to slow, expensive qualitative research.
PRS analyzes video responses across six scientifically validated dimensions, each grounded in behavioral research:
- Cognitive Resonance – Message clarity and processing ease
- Emotional Intensity – Depth of emotional response
- Authenticity & Trust – Credibility and believability
- Intent to Amplify – Likelihood to share or recommend
- Engagement & Interest – Attention capture and hold
- Emotional Valence – Direction of emotional response
The result is a single 0-100 composite score that predicts resonance, with dimension-level diagnostics showing exactly where to optimize.
Unlike text-based surveys, PRS uses multimodal AI to analyze what people say, how they say it (vocal tone, energy, hesitation), and how they show it (facial expressions, gestures, engagement cues).
Teams can compare creative concepts, prioritize messaging, and benchmark performance across audiences and campaigns. Diagnostic sub-scores highlight opportunities to strengthen tone, simplify language, or improve emotional impact.
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Built for Speed, Scale, and A/B Insight
The Predictive Resonance Score™ replaces slow focus groups, synthetic panels, and text-only sentiment tools with video-based quick insight from real respondents. Using multimodal AI models, PRS interprets visual, vocal, and linguistic signals and provides actionable recommendations on tone, clarity, narrative, and emotional appeal.
Teams can run side-by-side comparisons of:
- Message variations
- Creative directions or cuts
- Headlines and hooks
- Employer branding and EVP statements
- PR, crisis, and executive communication
- Product marketing positioning
“Surveys tell you what people say. The Predictive Resonance Score™ shows how they react,” Rooney said. “That is the difference between guessing and knowing.”
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Source – PR Newswire
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