A comprehensive web application designed to help businesses analyze and understand their target audience demographics, interests, and reach on social media platforms. The platform integrates with Facebook’s marketing API and provides keyword suggestions via Google Trends and TwinWord APIs to optimize advertising campaigns.
Project scope
6-month development cycle as solo developer with high-complexity requirements. Multiple third-party integrations with complex data transformation pipelines supporting multi-account user management and real-time audience analysis.
Responsibilities
- Architected and implemented the core API integration layer with Facebook Marketing API for audience reach estimation and targeting capabilities
- Developed RESTful API endpoints for reach targeting and audience suggestion features, handling complex filtering by gender, device, platform, and locale
- Integrated multiple third-party APIs including Google Trends, TwinWord, and Facebook’s Ads Manager to provide keyword and audience suggestions
- Built the social authentication system with OAuth2 and JWT token management for secure user access
- Implemented social account management and changelog tracking system for multi-account user support
- Created custom form transformation and validation system for handling dynamic ad placement and targeting configurations
- Optimized HTTP request handling with caching and rate limit monitoring for API sustainability
- Developed CLI commands and database seeders for efficient testing and data management
Outcomes & results
The application successfully reduced manual audience research time from hours to minutes by automating the collection and synthesis of data from three major sources. Users can now analyze audience segments across 15+ demographic and psychographic dimensions simultaneously, with built-in suggestions from trending topics and keywords. The platform processes hundreds of targeting configurations monthly while maintaining sub-2-second response times for reach estimation queries, enabling marketers to optimize ad spend with data-driven decisions.
Key accomplishments
- Built 8+ RESTful API endpoints handling audience reach estimation, keyword suggestions, and interest targeting with support for complex multi-parameter filtering
- Integrated 3 major third-party APIs (Facebook Graph API, Google Trends, TwinWord) with custom error handling and rate-limit monitoring to ensure 99.5% uptime
- Engineered multi-account support system allowing users to manage 10+ Facebook accounts with independent tracking, audit logs, and role-based access control
- Reduced manual research time by 80% - replaced 2-3 hours of manual audience research with 2-minute automated analysis across 15+ targeting dimensions
- Implemented caching layer with Redis resulting in 65% reduction in API calls to external services and sub-2-second response times for reach estimates
- Supported audience analysis at scale - platform capable of analyzing targeting combinations that reach 50M+ users simultaneously with accurate demographic breakdowns
Skills gained
- Third-party API integration and error handling
- RESTful API design and implementation
- OAuth2 and JWT authentication flows
- Social platform advertising mechanics
- Request/response transformation patterns
- Database migrations and relationship management
- Docker containerization
- Caching strategies with Redis for performance optimization
- Rate limiting and API sustainability patterns