CAX — CONTENT ATTENTION INDEX
Pageviews lie. BAX for Web measures real human attention on your owned and earned pages. Scroll depth, reading time, behavioral segments, and content quality, powered by the Behavioral Biometrics Engine®.
METRICS
Attentive Page Views (aPV), Attentive Unique Users (aUU), and average attention time (aTime). Only verified, bot-free sessions count. The CAX Index distills it into a single number per article, per section, per portfolio.
SEGMENTS
Deep Reader, Active Explorer, Targeted Scanner, Flow Scroller, Headline Skimmer, Distracted Browser, Content Binger. See who actually reads your content and how deep they go. An article with 80% Headline Skimmers tells a very different story than one with 50% Deep Readers.
ATTENTION ZONES
Every article is divided into 10 attention zones. See exactly where readers spend the most time, where they drop off, and where your brand mentions land relative to peak attention. The decay curve visualized on real data.
SOURCES
Not all traffic is equal. BAX tracks which sources deliver engaged readers and which deliver bouncers. Optimize distribution by attention quality, not click volume.
CAX — Content Attention Index
Interest Rate Outlook — June 2026
financialnews.com/markets/interest-rate-outlook
Where attention stops
Avg dwell time per 10% content zone · CLEAN sessions only
Who is reading
AHI — High Intent
36% Deep Reader + Active Explorer
4,209 clean sessions · classified in ~15s
CAX FOR WEB — COMMON QUESTIONS
CAX — Content Attention Index — measures real human attention on web content using the Behavioral Biometrics Engine. It tracks attentive page views, attentive unique users, average attention time, and scroll depth across 10 content zones. CAX counts only CLEAN sessions after bot filtration.
aTime (attentive time) is the duration a user spends actively engaged with content — measured only during ACTIVE or DWELL states when the tab is visible and behavioral signals confirm human presence. aTime excludes idle time, tab-hidden periods, and sessions classified as bot traffic.
After approximately 15 seconds of behavioral signals, BBE classifies every session into one of seven cognitive segments: Deep Reader, Active Explorer, Targeted Scanner, Flow Scroller, Headline Skimmer, Distracted Browser, and Content Binger. An article with 80% Headline Skimmers tells a very different story than one with 50% Deep Readers.
BAX divides every article into 10 equal content zones (Z1 through Z10) and measures average dwell time per zone. This reveals exactly where readers stop engaging. Publishers use attention zone data to optimize content structure and identify where brand mentions land relative to peak attention.