How does a tool predict if a visitor is likely to buy or not?

How Does a Tool Predict If a Visitor Is Likely to Buy or Not?

Purchase intent prediction is the core technology behind behavioral targeting in CRO tools. It works by identifying which patterns of in-session behavior correlate most strongly with purchase completion, then scoring each visitor in real time.

Key Behavioral Signals Used for Intent Prediction

How Intent Prediction Enables Better CRO

Intent prediction solves the core problem of generic targeting: showing the same offer to a casual browser and a committed buyer. By identifying intent level, you can:

• Protect margins: High-intent visitors who will buy anyway never receive unnecessary discounts
• Target effectively: Walk-away visitors with genuine interest receive offers; casual browsers who wouldn't convert anyway are excluded
• Calibrate offers: Lower-engagement walk-aways receive stronger incentives; higher-engagement walk-aways receive lighter nudges

Growth Suite's Intent Prediction Model

Growth Suite's Purchase Intent Prediction and Advanced Behavioral Targeting analyzes real-time session data to identify the "walk-away customer" - a visitor who has shown genuine interest but shows signals of leaving without purchasing. This is distinct from casual browsers (too early for an offer) and dedicated buyers (will purchase regardless). Only the walk-away segment receives time-limited offers, which is why the targeting produces better ROI than showing offers to all visitors indiscriminately.