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Development of AI-Driven Marketing Optimization Platform with Multitenancy and Analytics Integration

teacode.io

Advertising & marketing

Information technology

Software development

Technical Debt and Feature Gaps in Marketing Optimization MVP

Existing MVP suffered from poor code quality, delayed releases, and missing critical features required for beta testing. Application lacked multitenancy capabilities, had data duplication issues, and required algorithm updates to deliver core value propositions for marketing professionals.

About the Client

Well-established US-based digital marketing strategy firm with expertise in campaign management and analytics

MVP Stabilization and Feature Implementation Goals

Stabilize codebase and resolve technical debt
Implement multitenancy architecture for client data isolation
Update core algorithms for campaign optimization
Remove data duplication and improve data processing efficiency
Prepare platform for beta testing with essential features

Core Platform Requirements

Multitenant architecture with role-based access control
SEM module with conversion-based algorithm optimization
SEO module for organic traffic revenue opportunity analysis
AI-powered brand monitoring and market analysis tools
Data deduplication and processing pipeline improvements

Technology Stack Requirements

React.js for frontend

Node.js with Express for backend

Google Cloud Platform for hosting

MongoDB for database

OAuth 2.0 for authentication

Third-Party System Integrations

Google Ads API
Google Search Console
ChatGPT API
Google Analytics 4
Payment gateway for subscription management

System Quality Attributes

Horizontal scalability for concurrent users
99.9% uptime SLA
GDPR-compliant data handling
Real-time analytics processing
Role-based access control security model

Expected Business Outcomes

Enables marketing professionals to optimize paid and organic campaigns with 30% greater efficiency, reduces time-to-market for new features by 50%, and supports scalable growth through secure multitenancy architecture. AI-driven insights will provide competitive advantage in campaign performance optimization.