The Problem
Page views and click-through rates tell you what shoppers did — not what they intended. A shopper who views a product 5 times in one session and a shopper who accidentally lands on the page have identical pageview counts, but completely different purchase intent. Without intent intelligence, every shopper gets the same experience — and most of them leave.
The Reevix Solution
Reevix tracks 40+ sub-page behavioral signals per session: dwell time, scroll depth, hover patterns, add-to-cart micro-interactions, price comparisons, review-reading behavior, and cross-page navigation. A proprietary intent model scores each session continuously, classifying shoppers as exploring, comparing, hesitating, ready-to-buy, or at-risk-of-leaving — enabling hyper-targeted interventions at every stage.
How It Works
Automated from detection to recovery — no manual intervention required
The Reevix snippet captures 40+ behavioral signals from every page interaction — no additional event tagging or custom tracking code needed.
Signals are processed in real time through the intent classification model. Each session receives a continuous intent score update at sub-second intervals.
Intent classifications drive the intervention engine: "ready-to-buy" sessions may receive urgency signals; "hesitating" sessions receive social proof; "at-risk" sessions receive recovery interventions.
Aggregate intent data populates the Behavior dashboard, giving your team visibility into the distribution of shopper intent across the entire store.
See It in the Dashboard
Real screenshots from Reevix — no mockups
Real-Time Behavioral Signal Dashboard
The Behavior dashboard visualizes the 40+ signals driving intent classification. See the distribution of session intent scores across your live audience, drill into specific signal categories, and identify which behaviors are most predictive of conversion vs abandonment for your specific store.
Intent-Linked Overview Metrics
The Overview dashboard connects intent intelligence to business outcomes: what percentage of sessions are high-intent right now, how that compares to yesterday, and what revenue is at risk from the current at-risk cohort. Intent becomes a live operational metric, not just an analytics curiosity.
Key Benefits
40+ Signal Coverage
From micro-interactions like image zoom to macro patterns like cross-session return behavior — Reevix builds the most complete picture of shopper intent available.
Sub-Second Intent Updates
Intent scores update faster than the shopper can change behavior, ensuring interventions are always triggered on current — not stale — intent data.
Segment Intelligence
View intent distributions by traffic source, device type, product category, and customer cohort. Understand how different segments behave and where each falls on the intent spectrum.
Intent-to-Intervention Automation
Connect intent classifications directly to the Intervention Engine — no manual rules required. Define once what should happen at each intent stage; Reevix executes at scale.
Privacy-First Architecture
All behavioral signals are processed and classified server-side with no PII exposure. Reevix is fully GDPR and CCPA compliant — no third-party data sharing.
Historical Intent Trend Analysis
Track how average session intent scores change over time — correlated with campaigns, UX changes, and seasonal trends. Measure the impact of every optimization.
Results You Can Expect
Based on aggregate data across Reevix deployments