Purchase Intent Segmentation Using Behavioral Signals

Create a purchase intent segmentation system for [ECOMMERCE NAME] with [NUMBER] email subscribers.

**1) Behavioral Signals to Track:**
- Product page views (number and recency)
- Category browsing patterns
- Price page visits
- Shipping information page visits
- Wishlist additions
- Email link clicks (product-specific)
- Search queries on site
- Time spent on site
- Return visits within [X] days

**2) Intent Score Calculation:**
Assign points for each signal:
- Viewed product page: +[X] points
- Viewed 3+ products in same category: +[X] points
- Checked shipping/pricing: +[X] points
- Added to wishlist: +[X] points
- Clicked product link in email: +[X] points
- Returned within 48 hours: +[X] points

**Intent Tiers:**
- High intent (score 80+): Ready to buy
- Medium intent (score 40-79): Considering
- Low intent (score <40): Browsing

**3) Campaigns by Intent Level:**

**High Intent:**
- Email: Limited-time offer, free shipping, urgency
- Timing: Within 2 hours of signal
- Frequency: Up to 2 emails in 48 hours

**Medium Intent:**
- Email: Social proof, comparison content, gentle incentive
- Timing: Within 24 hours
- Frequency: 1 email per week

**Low Intent:**
- Email: Educational content, brand building
- Timing: Regular newsletter cadence
- Frequency: Standard newsletter

**4) Technical Setup:**
- Event tracking implementation
- Score calculation automation
- Segment sync with email platform
- Real-time vs. batch processing

**5) Performance Metrics:**
- Conversion rate by intent tier
- Revenue per intent-based campaign
- Score accuracy (predicted vs. actual purchase)
- Time from high-intent signal to purchase

Include an intent scoring calculator and campaign templates for each tier.