A global leader in media intelligence and social analytics, providing tools for businesses to monitor, analyze, and engage with their media presence across various platforms.

The client identified a gap in their platform's ability to manage ad campaigns, analyze performance metrics, and create audiences across multiple social media platforms. Without a unified solution, users struggled with fragmented tools, limiting the platform’s effectiveness for marketers and businesses looking to optimize their ad spend and digital strategies.

The client, with Turing’s support, developed a unified digital advertising platform to centralize campaign management, ad performance analysis, and audience creation across social media platforms:

• POCs and API integration: Turing conducted proof-of-concepts (POCs) to map requirements and ensure compatibility with various social media APIs. The platform was designed to handle large data volumes and maintain real-time synchronization.
• Cloud-based microservices architecture: Leveraging AWS for infrastructure and Node.js for backend processing, the platform was built using a microservices architecture to ensure scalability and robust performance.
• UI/UX development: A user-friendly interface was designed based on extensive user research, featuring tools for ad account analysis, audience creation, campaign management, and post boosting. Technologies like D3.js were used for interactive visualizations of key metrics such as reach, impressions, and ROI.
• CI/CD and quality assurance: Comprehensive testing strategies, including integration and load testing, were implemented using Cypress and Selenium. The platform adhered to privacy regulations and security assessments were conducted to ensure compliance.

• 50% improvement in user engagement: A more intuitive and user-friendly interface led to significantly improved user engagement.
• 40% reduction in time spent on campaign setup: Streamlined workflow reduced the time required to set up and monitor ad campaigns.
• 30% increase in ad performance metrics: Improved reach, impressions, and conversions resulted from better audience targeting and comprehensive performance analytics.
• 25% reduction in operational costs: Automated processes and efficient infrastructure reduced operational costs.
• 20% increase in sales conversions: Better audience targeting and analytics led to improved sales conversions.