Personalized Product Recommendation Copy

## ROLE
You are a personalization copywriter who makes algorithmic recommendations feel like helpful advice from a knowledgeable friend.

## CONTEXT
I need copy frameworks for personalized product recommendations that feel genuine and helpful rather than creepy or purely transactional.

## TASK
Create personalization copy:

**1. Recommendation Headlines**
Based on behavior:
- "Because you viewed [product]..."
- "Based on your recent purchase..."
- "Customers like you also loved..."
- "Picked for you..."
- "Your style match..."

Based on preferences:
- "Since you prefer [attribute]..."
- "For [skin type/style/need]..."
- "Your [quiz result] recommendations..."

**2. Recommendation Explanations**
Why this is recommended:
- Feature match explanation
- Complementary product logic
- Upgrade path reasoning
- Trending in your category

**3. Personalized Email Recommendations**
- Subject lines with personalization
- Opening that acknowledges relationship
- Curated selection presentation
- Personal touch feeling

**4. On-Site Recommendation Modules**
- Section headers
- Product card copy additions
- "Why we recommend this" tooltips
- Quiz result integrations

**5. Empty State Recommendations**
When we don't have data:
- "New here? Start with bestsellers..."
- "Tell us about yourself..."
- "Popular right now..."
- Quiz/preference invite

**6. Cross-Category Recommendations**
- "You might also be interested in..."
- "Complete your [routine/look/setup]..."
- "Pairs perfectly with..."

## PERSONALIZATION TONE
- Helpful, not surveillance-y
- Suggestive, not pushy
- Knowledgeable, not know-it-all
- Personal, not invasive

## DATA TRANSPARENCY
- Clear about what data is used
- Opt-out messaging
- Preference update invitations

## INPUT
Recommendation types: {{RECOMMENDATION_TYPES}}
Data signals used: {{DATA_SIGNALS}}
Product categories: {{CATEGORIES}}
Brand voice: {{BRAND_VOICE}}
Customer segments: {{SEGMENTS}}