Ryff’s Scene Intelligence Redefines How Brands Measure Visual Impact | Martech Edge | Best News on Marketing and Technology
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Ryff’s Scene Intelligence Redefines How Brands Measure Visual Impact

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Ryff’s Scene Intelligence Redefines How Brands Measure Visual Impact

Ryff’s Scene Intelligence Redefines How Brands Measure Visual Impact

PR Newswire

Published on : Oct 8, 2025

At Advertising Week, Ryff unveiled what could become one of the most transformative analytics tools for advertisers and creators alike: Scene Intelligence™, a new AI-powered framework designed to understand how humans actually respond to visual content—beyond surface-level metrics like views and impressions.

Developed over three years and trained on hundreds of thousands of entertainment records, Scene Intelligence promises to bridge a long-standing blind spot in media measurement—helping marketers answer why content drives engagement and how it influences decisions like brand consideration or purchase intent.

“Scene Intelligence doesn’t just measure how many people watch or how they feel,” said Roy Taylor, Founder of Ryff. “It helps us understand why—and what kind of content drives action. This moves creative and marketing decisions away from guesswork and grounds them in science.”


Beyond Views: The Science of the Scene

For decades, the $600 billion entertainment and advertising ecosystem has relied on metrics that show reach—but not reaction. Scene Intelligence shifts that paradigm by analyzing over 2,000 visual attributes per scene, from object placement and composition to character interaction and pacing.

Using its proprietary Behavioral Environmental Descriptors (BEDs), the system generates four new metrics:

  • Scene Prominence Score (SPS) – measures visibility and impact of on-screen elements.

  • Scene Weighted Impact Score (SWIS) – evaluates overall influence across a full program.

  • Scene Consideration Potential (SCP) – predicts likelihood of brand consideration after viewing.

  • Purchase Pathway Score (PPS) – forecasts consumer actions post-exposure.

In early pilots, Ryff reports results that would make any brand strategist take notice:

  • 95% model accuracy across platforms

  • 45% boost in brand integration effectiveness

  • 3.2x increase in purchase intent when content is optimized through Scene Intelligence insights


AI on the Cloud, Analytics in Real Time

Built on Oracle Cloud Infrastructure, the system leverages Ryff’s ALGO-C (content classification) and ALGO-D (behavioral prediction) models to process massive entertainment datasets in real time. Its ViewStream Intelligence™ module adds live viewership analytics across streaming and broadcast platforms—allowing brands to tweak campaigns mid-flight through a single, unified dashboard.

The tool will be available in three formats:

  • Enterprise API for studios and streaming platforms

  • Brand Intelligence Suite for agencies and advertisers

  • Creator Analytics for production companies and individual creators

Early adopters will also gain access to historical content analysis, predictive modeling for new releases, and competitive intelligence tailored to their industry.


Why It Matters

As the streaming market races toward $1.2 trillion by 2027 and video ad spend nears $450 billion, the ability to decode why audiences connect with certain scenes—and how that translates into commercial action—could redefine entertainment marketing strategy.

Scene Intelligence positions Ryff at the intersection of AI, psychology, and creative optimization. In an age when brands are fighting to hold viewer attention across fragmented channels, this kind of visibility into the emotional mechanics of content could become the new metric that matters.

At Advertising Week, Ryff unveiled what could become one of the most transformative analytics tools for advertisers and creators alike: Scene Intelligence™, a new AI-powered framework designed to understand how humans actually respond to visual content—beyond surface-level metrics like views and impressions.

Developed over three years and trained on hundreds of thousands of entertainment records, Scene Intelligence promises to bridge a long-standing blind spot in media measurement—helping marketers answer why content drives engagement and how it influences decisions like brand consideration or purchase intent.

“Scene Intelligence doesn’t just measure how many people watch or how they feel,” said Roy Taylor, Founder of Ryff. “It helps us understand why—and what kind of content drives action. This moves creative and marketing decisions away from guesswork and grounds them in science.”


Beyond Views: The Science of the Scene

For decades, the $600 billion entertainment and advertising ecosystem has relied on metrics that show reach—but not reaction. Scene Intelligence shifts that paradigm by analyzing over 2,000 visual attributes per scene, from object placement and composition to character interaction and pacing.

Using its proprietary Behavioral Environmental Descriptors (BEDs), the system generates four new metrics:

  • Scene Prominence Score (SPS) – measures visibility and impact of on-screen elements.

  • Scene Weighted Impact Score (SWIS) – evaluates overall influence across a full program.

  • Scene Consideration Potential (SCP) – predicts likelihood of brand consideration after viewing.

  • Purchase Pathway Score (PPS) – forecasts consumer actions post-exposure.

In early pilots, Ryff reports results that would make any brand strategist take notice:

  • 95% model accuracy across platforms

  • 45% boost in brand integration effectiveness

  • 3.2x increase in purchase intent when content is optimized through Scene Intelligence insights


AI on the Cloud, Analytics in Real Time

Built on Oracle Cloud Infrastructure, the system leverages Ryff’s ALGO-C (content classification) and ALGO-D (behavioral prediction) models to process massive entertainment datasets in real time. Its ViewStream Intelligence™ module adds live viewership analytics across streaming and broadcast platforms—allowing brands to tweak campaigns mid-flight through a single, unified dashboard.

The tool will be available in three formats:

  • Enterprise API for studios and streaming platforms

  • Brand Intelligence Suite for agencies and advertisers

  • Creator Analytics for production companies and individual creators

Early adopters will also gain access to historical content analysis, predictive modeling for new releases, and competitive intelligence tailored to their industry.


Why It Matters

As the streaming market races toward $1.2 trillion by 2027 and video ad spend nears $450 billion, the ability to decode why audiences connect with certain scenes—and how that translates into commercial action—could redefine entertainment marketing strategy.

Scene Intelligence positions Ryff at the intersection of AI, psychology, and creative optimization. In an age when brands are fighting to hold viewer attention across fragmented channels, this kind of visibility into the emotional mechanics of content could become the new metric that matters.

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