How do I score purchase intent using on-site behaviors?

Question

I'm struggling to understand how to effectively predict which website visitors are most likely to make a purchase. My current approach is too manual, and I'm losing potential sales because I can't distinguish between casual browsers and serious buyers. I need a systematic method to analyze visitor behaviors in real-time and score their purchase intent accurately. What specific on-site interactions and metrics can help me predict conversion probability and create more targeted marketing strategies?

Muhammed Tüfekyapan · Accepted Answer

A/B Testing Discount Campaigns: A Structured Approach
Most A/B tests on discount campaigns fail not because the concept is wrong, but because teams test too many variables at once or end tests too early. Here is a framework for running tests that generate reliable, actionable results.

What to Test (Priority Order)

VariableTest OptionsTypical Impact

Discount amount10% vs 15% vs 20%High - direct margin impact
Offer format% off vs $amount offMedium - perception effect
Timer duration10 min vs 20 min vs 30 minMedium - urgency calibration
Trigger timing30s vs 60s vs exit-intentMedium - audience quality
Headline copySavings-focused vs urgency-focusedLow-Medium

Test Duration Guidelines

7 days
Minimum test duration

95%
Required confidence level

1 var
Max variables per test

Growth Suite A/B Testing Module lets you split offer variants - different discount amounts, timer lengths, or trigger conditions - across visitor segments with statistical significance tracking built in. Results feed directly into the Funnel Report so you can see the full-funnel impact of each variant, not just click-through.

Common Testing Mistakes to Avoid

- Ending tests after a good day (wait for full 7-day cycle)
- Testing during anomalous periods (sales events, holidays)
- Measuring conversion rate only - always check RPV and margin
- Not documenting test results - build a testing log for future reference

How do I score purchase intent using on-site behaviors?

TL;DR - Quick Answer

Complete Expert Analysis

A/B Testing Discount Campaigns: A Structured Approach

What to Test (Priority Order)

Test Duration Guidelines

Common Testing Mistakes to Avoid

Turn This Knowledge Into Real Revenue Growth

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Muhammed Tüfekyapan

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Use Cases

Variable	Test Options	Typical Impact
Discount amount	10% vs 15% vs 20%	High - direct margin impact
Offer format	% off vs $amount off	Medium - perception effect
Timer duration	10 min vs 20 min vs 30 min	Medium - urgency calibration
Trigger timing	30s vs 60s vs exit-intent	Medium - audience quality
Headline copy	Savings-focused vs urgency-focused	Low-Medium