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Interactive B2C Influencer Marketing Platform with Real-Time Analytics and AI-Driven Insights
  1. case
  2. Interactive B2C Influencer Marketing Platform with Real-Time Analytics and AI-Driven Insights

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Interactive B2C Influencer Marketing Platform with Real-Time Analytics and AI-Driven Insights

dataforest.ai
Advertising & marketing

Challenges in Influencer Campaign Management

Brands and agencies face inefficiencies in identifying and targeting relevant influencers for campaigns due to fragmented data sources, slow data processing speeds, and lack of advanced filtering capabilities. Existing tools lack real-time updates, predictive analytics, and seamless integration with social media platforms, leading to wasted resources and suboptimal campaign outcomes.

About the Client

Leading Marketing and Creative Agency specializing in strategy, market research, and content creation for brands and agencies in the DACH region

Platform Development Goals

  • Develop a responsive B2C web application for influencer discovery with AI-driven analytics
  • Enable real-time data updates and predictive insights for competitive advantage
  • Integrate scalable filtering systems for precise influencer targeting
  • Optimize data loading speed to under 60ms for enhanced user experience
  • Implement secure payment gateway integration for transactional capabilities

Core System Capabilities

  • Searchable database of 12M+ influencers with social media metrics
  • AI-driven predictive analytics for influencer performance forecasting
  • Customizable multi-criteria filtering system (platform, engagement rate, audience demographics)
  • Real-time data synchronization with TikTok and Instagram APIs
  • Responsive cross-device UI/UX design aligned with brand guidelines
  • Secure payment processing integration for campaign transactions

Technology Stack Requirements

ReactJS
Python
PostgreSQL
Django REST Framework (DRF)
AWS Cloud Infrastructure

External System Integrations

  • TikTok API
  • Instagram Graph API
  • Stripe Payment Gateway
  • AWS S3 for Media Storage

Performance and Scalability Criteria

  • Data loading speed under 60ms response time
  • Support for concurrent access by 100,000+ users
  • SOC 2 compliance for data security
  • 99.9% system uptime SLA
  • Automated caching and database query optimization

Expected Business Outcomes

The platform will reduce campaign planning time by 40% through instant influencer matching, increase ROI by 25% via predictive analytics, and provide 30% greater data accuracy compared to traditional methods. Real-time updates and automated reporting will enable faster decision-making, while the scalable architecture supports future expansion to additional social media platforms and geographic markets.

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