AI Intent Detection
Machine learning models analyze visitor behavior patterns in real-time to predict purchase intent and identify at-risk sessions before they leave your store.
Key Capabilities
How intent detection works
From the first scroll to a confident prediction — here is how every session is read in real time.
Observe
Behavioral signals — scroll, dwell, navigation, hesitation — are captured for every visitor, only after consent.
Learn
Models learn the patterns that precede a purchase versus an abandonment, tuned to your store specifically.
Score
Each live session gets a purchase-intent score that updates continuously as the visit unfolds.
Act
High-value sessions trending toward abandonment are flagged instantly, so an intervention can fire in time.
The signals we analyze
Dozens of behavioral cues combine into one continuously updated intent score — all consent-aware.
Scroll depth
How far and how actively a visitor explores each page.
Dwell time
Time spent per page and the rhythm of attention across the visit.
Navigation path
The sequence of pages and whether it trends toward checkout.
Hesitation & idle
Idle gaps and back-and-forth that often precede an exit.
Cart engagement
Add-to-cart, removals, and cart value movement within the session.
New vs returning
Whether this is a first visit or a returning, higher-intent shopper.
Why It Matters
Ready to get started?
Install IntentLift on your Shopify store and start seeing results in minutes.