Intent Score: Purchase Likelihood Score

Intent Score estimates the likelihood a visitor will purchase, scored 0-100 based on behavioral signals like product views, add-to-cart actions, and checkout progress.

Formula

Intent Score = Weighted Model ( Product Views + Cart Actions + Checkout Progress + Engagement Signals )

Formula Components

Metric	Definition
Product Views	Number and depth of product page visits
Cart Actions	Add-to-cart, cart views, and cart modifications
Checkout Progress	Steps completed in checkout flow
Engagement Signals	Time on product pages, scroll depth, interactions

Metadata
Type	Number
Data Source	Upstack Pixel
Aggregation	Average

Example

Sessions averaged an intent score of 34/100, with high-intent sessions converting at 12%.

Intent Score Range	Sessions	Conversion Rate
80-100 (High Intent)	1,200	28%
50-79 (Medium Intent)	3,500	8%
20-49 (Low Intent)	4,000	2%
0-19 (Browsing)	3,300	0.3%

How It Works

The Intent Score model analyzes behavioral patterns correlated with purchase completion. Visitors who view multiple products, add items to cart, and progress through checkout receive higher scores. The score updates in real-time as visitors take actions.

When to Use

Scenario	Action
Retargeting segmentation	Target high-intent non-converters
Real-time personalization	Show urgency to high-intent visitors
Traffic source quality	Compare intent scores across channels
Checkout optimization	Analyze why high-intent visitors drop off

Metric	Relationship
Peak Intent Score	Highest intent reached
Session Score	Overall engagement composite
Avg. Funnel Stage	Funnel progress

See all Session metrics →

⌘I

​Formula

​Formula Components

​Example

​How It Works

​When to Use

​Related Metrics

Formula

Formula Components

Example

How It Works

When to Use

Related Metrics