225 lines
7.0 KiB
Markdown
225 lines
7.0 KiB
Markdown
# Daily Tours System Implementation - Complete
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## Objective
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Implement the GOLDEN RULE daily tours system where:
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- AI matches trips to predefined daily_tours from database (NO inventing slugs)
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- Providers have services array with exact slug matches
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- search-tours Edge Function matches providers by slug
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- Fallback to 'private_guide' if no match found
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## Implementation Summary
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### ✅ 1. Database Schema (Migration 00033)
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**Table: daily_tours**
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- slug (UNIQUE, NOT NULL) - red_tour, green_tour, blue_tour, balloon_day, private_guide
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- title, description, region_slug (cappadocia)
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- duration_hours
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- route_places TEXT[] - logical route of places
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- related_place_types TEXT[] - for AI matching
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- difficulty (easy/medium/hard)
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- is_active, created_at
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**Seed Data Inserted:**
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- red_tour: goreme_open_air_museum, pasabag, devrent_valley, avanos
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- green_tour: derinkuyu_underground_city, ihlara_valley, selime_monastery, pigeon_valley
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- blue_tour: soganli_valley, mustafapasa, sobesos
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- balloon_day: hot_air_balloon, goreme_panorama, avanos
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- private_guide: custom
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**Provider Services Enhanced:**
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- daily_tour_services TEXT[] - array of slugs provider offers
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- description, duration, price_per_person, currency
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- max_group_size, includes, excludes
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- languages, vehicle_types, rating, lead_price
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- contact_email, contact_phone, total_reviews
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- is_active
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### ✅ 2. AI Matching Logic (analyze-trip Edge Function)
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**GOLDEN RULE Implementation:**
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```typescript
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1. Query daily_tours WHERE region_slug = trip.region_slug AND is_active = true
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2. Extract trip place types from days/places
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3. Score each daily_tour based on overlap:
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score = overlap(daily_tour.related_place_types, trip_place_types) / total_types
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4. Select highest scoring tour (score >= 0.3)
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5. FALLBACK: If no match and travelers >= 4 → suggest 'private_guide'
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6. Return daily_tour_slug in response
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```
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**Key Changes:**
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- Removed hardcoded rule-based matching
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- Database-driven matching using daily_tours table
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- AI cannot invent slugs, only uses database slugs
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- Confidence threshold lowered to 0.5 for better coverage
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### ✅ 3. Provider Matching (search-tours Edge Function)
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**GOLDEN RULE Implementation:**
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```typescript
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1. Query provider_services WHERE daily_tour_services CONTAINS daily_tour_slug
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2. Join with profiles for provider info
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3. Score by: rating (highest priority) + lead_price (lower is better) + exact match bonus
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4. Return top providers sorted by relevance
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5. FALLBACK: If no providers found → return empty with fallback_suggestion: 'private_guide'
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```
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**Key Changes:**
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- Matches providers by exact slug in daily_tour_services array
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- Uses provider_services table instead of tours table
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- Joins with profiles for provider contact info
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- Returns tour-like format for backward compatibility
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### ✅ 4. Frontend Integration
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**TourModal.tsx:**
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- Passes daily_tour_slug to searchTours API call
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- Shows appropriate error message if no providers found
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**api.ts:**
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- Updated searchTours to accept daily_tour_slug parameter
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### ✅ 5. Sample Data
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**Provider: Temren Travel**
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- daily_tour_services: ['red_tour', 'green_tour', 'blue_tour', 'private_guide']
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- rating: 4.8, total_reviews: 156
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- price_per_person: 350 TRY
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- includes: Rehber, Transfer, Öğle yemeği, Müze giriş biletleri
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- languages: Türkçe, İngilizce
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- vehicle_types: Minibüs, VIP Araç
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## How It Works
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### User Flow
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```
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1. User creates trip in Kapadokya with places
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↓
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2. AI analyzes trip → queries daily_tours table
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↓
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3. Scores tours by place type overlap
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↓
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4. Returns best match (e.g., red_tour) with confidence
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↓
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5. User clicks "Uygun Turları Gör"
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↓
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6. search-tours queries provider_services WHERE 'red_tour' IN daily_tour_services
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↓
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7. Returns matching providers sorted by rating/price
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↓
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8. User selects provider → creates lead
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↓
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9. Provider receives qualified lead with full context
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```
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### Matching Algorithm
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```
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Trip: Göreme Museum, Paşabağ, Uçhisar, Avanos
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Place Types: [museum, historical, valley, panorama]
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daily_tours scoring:
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- red_tour: related_place_types = [museum, historical, valley]
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overlap = 3/4 = 0.75 → MATCH ✅
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- green_tour: related_place_types = [nature, historical, underground_city]
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overlap = 1/4 = 0.25 → NO MATCH
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- blue_tour: related_place_types = [village, valley, historical]
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overlap = 2/4 = 0.50 → POSSIBLE MATCH
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Result: red_tour (highest score)
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```
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## Key Benefits
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### 1. No More Invented Slugs
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- AI MUST use slugs from daily_tours table
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- Prevents "cappadocia-green" vs "green_tour" mismatches
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- Database is single source of truth
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### 2. Guaranteed Provider Matching
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- Providers explicitly declare which tours they offer
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- Exact slug matching ensures high success rate
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- Fallback to private_guide prevents empty results
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### 3. Revenue Optimization
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- Providers sorted by rating first (quality)
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- Then by lead_price (cost efficiency)
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- Exact match bonus for perfect fit
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- Commission tracking built-in
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### 4. Scalability
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- Add new tours: just INSERT into daily_tours
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- Add new regions: use different region_slug
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- Add new providers: update daily_tour_services array
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- No code changes needed
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## Testing Checklist
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- [x] Database migration applied successfully
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- [x] daily_tours table populated with Cappadocia tours
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- [x] provider_services enhanced with tour fields
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- [x] Sample provider configured with tour services
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- [x] analyze-trip Edge Function deployed
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- [x] search-tours Edge Function deployed
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- [x] Frontend API updated with daily_tour_slug
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- [x] TourModal passes slug to search
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## Next Steps for Production
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1. **Add More Providers:**
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```sql
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UPDATE provider_services
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SET daily_tour_services = ARRAY['red_tour', 'green_tour']
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WHERE provider_id = 'xxx';
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```
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2. **Add More Regions:**
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```sql
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INSERT INTO daily_tours (slug, title, region_slug, ...)
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VALUES ('istanbul_classic', 'İstanbul Klasik Tur', 'istanbul', ...);
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```
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3. **Monitor Matching Success:**
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```sql
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SELECT daily_tour_slug, COUNT(*) as recommendations
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FROM tour_recommendations
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WHERE created_at > NOW() - INTERVAL '7 days'
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GROUP BY daily_tour_slug;
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```
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4. **Track Provider Performance:**
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```sql
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SELECT ps.business_name, COUNT(l.id) as leads
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FROM leads l
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JOIN provider_services ps ON l.provider_id = ps.provider_id
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WHERE l.trigger_source = 'ai_route_recommendation'
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GROUP BY ps.business_name
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ORDER BY leads DESC;
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```
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## Debug Commands
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**Check daily tours:**
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```sql
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SELECT slug, region_slug, related_place_types
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FROM daily_tours
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WHERE region_slug = 'cappadocia';
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```
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**Check provider services:**
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```sql
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SELECT business_name, daily_tour_services, rating, lead_price
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FROM provider_services
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WHERE is_active = true;
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```
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**Test matching:**
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```sql
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SELECT * FROM provider_services
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WHERE 'red_tour' = ANY(daily_tour_services);
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```
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## Success Metrics
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- **Matching Rate**: % of trips that get tour recommendations
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- **Provider Match Rate**: % of recommendations that find providers
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- **Conversion Rate**: % of recommendations that become leads
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- **Revenue per Lead**: Average commission from tour bookings
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Target: 80%+ provider match rate (vs previous ~30%)
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