# Product Marketing Suite - Phase 1 Implementation Summary

## Overview

Phase 1 implementation of the Product Marketing Suite focuses on the MVP: Campaign wizard, asset audit, and channel packs for social media platforms.

## Implementation Status

### ✅ Completed Backend Services

#### 1. ProductMarketingPromptBuilder (`backend/services/product_marketing/prompt_builder.py`)
- **Extends**: `AIPromptOptimizer`
- **Features**:
  - `build_marketing_image_prompt()`: Enhances image prompts with brand DNA, persona style, channel optimization
  - `build_marketing_copy_prompt()`: Enhances text prompts with persona linguistic fingerprint, brand voice
  - `optimize_marketing_prompt()`: Main entry point for prompt optimization
- **Integration**: Uses `OnboardingDataService`, `OnboardingDatabaseService`, `PersonaDataService`
- **Status**: ✅ Complete

#### 2. BrandDNASyncService (`backend/services/product_marketing/brand_dna_sync.py`)
- **Features**:
  - `get_brand_dna_tokens()`: Extracts brand DNA from onboarding and persona data
  - `get_channel_specific_dna()`: Gets channel-specific brand adaptations
- **Integration**: Uses `OnboardingDatabaseService` to fetch website analysis, persona data, competitor analyses
- **Status**: ✅ Complete

#### 3. AssetAuditService (`backend/services/product_marketing/asset_audit.py`)
- **Features**:
  - `audit_asset()`: Analyzes uploaded assets and recommends enhancements
  - `batch_audit_assets()`: Batch processing for multiple assets
  - Quality scoring, resolution checks, format recommendations
- **Integration**: Uses PIL for image analysis
- **Status**: ✅ Complete

#### 4. ChannelPackService (`backend/services/product_marketing/channel_pack.py`)
- **Features**:
  - `get_channel_pack()`: Gets channel-specific templates, formats, copy frameworks
  - `build_multi_channel_pack()`: Builds optimized packs for multiple channels
- **Integration**: Uses `TemplateManager` and `SocialOptimizerService` from Image Studio
- **Status**: ✅ Complete

#### 5. ProductMarketingOrchestrator (`backend/services/product_marketing/orchestrator.py`)
- **Features**:
  - `create_campaign_blueprint()`: Creates personalized campaign blueprint
  - `generate_asset_proposals()`: Generates AI proposals for all assets
  - `generate_asset()`: Generates single asset using Image Studio APIs
  - `validate_campaign_preflight()`: Validates subscription limits before generation
- **Integration**: 
  - Reuses `ImageStudioManager` for image generation
  - Uses all other Product Marketing services
  - Integrates with `PricingService` for subscription validation
- **Status**: ✅ Complete

### ✅ Completed API Endpoints

**Router**: `backend/routers/product_marketing.py`
**Prefix**: `/api/product-marketing`

#### Campaign Endpoints
- `POST /api/product-marketing/campaigns/create-blueprint` - Create campaign blueprint
- `POST /api/product-marketing/campaigns/{campaign_id}/generate-proposals` - Generate asset proposals

#### Asset Endpoints
- `POST /api/product-marketing/assets/generate` - Generate single asset
- `POST /api/product-marketing/assets/audit` - Audit uploaded asset

#### Brand DNA Endpoints
- `GET /api/product-marketing/brand-dna` - Get brand DNA tokens
- `GET /api/product-marketing/brand-dna/channel/{channel}` - Get channel-specific DNA

#### Channel Pack Endpoints
- `GET /api/product-marketing/channels/{channel}/pack` - Get channel pack configuration

#### Health Check
- `GET /api/product-marketing/health` - Service health check

**Status**: ✅ Complete and registered in `backend/app.py`

### 🔄 Next Steps (Frontend)

1. **ProductMarketingDashboard.tsx** - Main dashboard component
2. **CampaignWizard.tsx** - Multi-step wizard for campaign creation
3. **AssetAuditPanel.tsx** - Asset intake and audit interface
4. **ChannelPackBuilder.tsx** - Channel-specific preview builder

## Key Integration Points

### 1. Reuses Existing Image Studio APIs
- All image generation goes through `ImageStudioManager.create_image()`
- Subscription validation built-in via `PricingService`
- Asset tracking automatic via `save_asset_to_library()`

### 2. Onboarding Data Integration
- Uses `OnboardingDatabaseService` to fetch:
  - Website analysis (writing style, target audience, brand analysis)
  - Persona data (core persona, platform personas)
  - Competitor analyses (differentiation points)
  - Research preferences (research depth, content types)

### 3. Persona System Integration
- Uses `PersonaDataService` for:
  - Linguistic fingerprint (sentence length, vocabulary, go-to words)
  - Platform-specific adaptations
  - Visual identity preferences

### 4. Subscription & Usage Limits
- Pre-flight validation via `PricingService.check_comprehensive_limits()`
- Cost estimation for campaign blueprints
- Automatic validation before asset generation

### 5. Asset Library Integration
- All generated assets automatically tracked via Image Studio's `save_asset_to_library()`
- Assets tagged with `source_module="product_marketing"`
- Campaign metadata stored in asset metadata

## Testing Checklist

- [ ] Test campaign blueprint creation with onboarding data
- [ ] Test asset proposal generation with brand DNA
- [ ] Test asset generation via Image Studio APIs
- [ ] Test subscription pre-flight validation
- [ ] Test asset audit service with sample images
- [ ] Test channel pack service for all platforms
- [ ] Verify assets appear in Asset Library
- [ ] Test API endpoints with authentication

## Files Created

```
backend/
├── services/
│   └── product_marketing/
│       ├── __init__.py
│       ├── orchestrator.py
│       ├── prompt_builder.py
│       ├── brand_dna_sync.py
│       ├── asset_audit.py
│       └── channel_pack.py
└── routers/
    └── product_marketing.py
```

## Dependencies

- `services.image_studio` - Image Studio Manager and services
- `services.onboarding` - Onboarding data services
- `services.persona_data_service` - Persona data access
- `services.subscription` - Subscription and pricing services
- `services.ai_prompt_optimizer` - Base prompt optimizer
- `utils.asset_tracker` - Asset Library integration

---

*Phase 1 Backend Implementation Complete - Ready for Frontend Development*

