Four-layer framework transforms raw interaction data into attention quality scores. From cursor micro-movements to business KPIs.
Micro-signals
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Structure, Behavior, Semantics, Business KPIs
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Layers
Every digital interaction leaves a trace. Not a single metric, but a pattern of micro-signals: movement, rhythm, pauses, and reactions.
Our methodology captures these signals and organizes them into a coherent analytical framework that reveals how users actually engage with content.
Millisecond-resolution capture of cursor trajectories, scroll acceleration, micro-pauses, hover latency. Normalized across devices via percentile-based scoring. Enables cross-publisher attention benchmarking.
- Three Production-Ready Scoring Models
- CAQS (Content Attention & Quality Score): 0-100 scale for articles. 4 dimensions: depth, time, focus, core audience. Identifies high-value content for promotion.
- HCS 2.0 (Human Confidence Score): 0.0-1.0 bot detection filter. Cleans traffic before scoring. Minimum 0.7 threshold for attention metrics.
- Built on 59 behavioral micro-signals. Normalized via percentile scoring (p20/p80) for cross-publisher comparison.
- L1 (Structure): Page layout analysis. Article start/end depth, viewport dimensions, content boundaries.
- L2 (Behavior): 59 micro-signals measured in real-time. Scroll velocity, pause timing, interaction rhythm, movement patterns.
- L3 (Semantics): Context interpretation. Reading vs scanning, device context, attention break points, distraction analysis.
- L4 (Business Metrics): Aggregated scoring. Deep attention time, stability indices, effective reach, super user ratios.
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What is Artificial Intelligence?
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
How does Machine Learning relate to Artificial Intelligence?
Machine Learning is a subset of AI that focuses on developing algorithms and models that allow computers to learn from data and improve their performance over time. It plays a crucial role in enabling AI systems to recognize patterns, make predictions, and adapt to new information.
Is Artificial Intelligence replacing human jobs?
Yes, we tailor AI solutions to meet the unique requirements of each client, ensuring maximum relevance and effectiveness.
What are the different types of Artificial Intelligence?
Yes, we tailor AI solutions to meet the unique requirements of each client, ensuring maximum relevance and effectiveness.
