Development of an Onsite Influencer Marketing and Analytics Platform with Revenue Attribution

The client faces difficulty in accurately measuring the contribution of social media influencer campaigns to online revenue, hindering their ability to optimize marketing strategies and demonstrate ROI. They need a reliable platform to identify key influencers, track social media engagement metrics, and attribute sales effectively in a rapidly evolving digital landscape.

A mid-sized retail company aiming to leverage social media influencers to boost online sales and enhance customer engagement through a dedicated analytics platform.

• Design and develop a comprehensive analytics platform enabling retailers to identify their main social media influencers.
• Implement an attribution model to accurately assign revenue contributions to social media campaigns and influencer activities.
• Create an intuitive user interface that visualizes key social media metrics, campaign performance, and influencer rankings.
• Build seamless integrations with major social media platforms and eCommerce systems for real-time data collection.
• Develop scalable architecture capable of handling increasing data volume and user load post-launch.
• Provide ongoing support, maintenance, and feature expansion to adapt to emerging social marketing trends.

• Social media integrations for platforms like Facebook, Instagram, Twitter, etc., enabling data ingestion.
• Influencer identification tools using engagement metrics and social sharing analytics.
• Visual dashboards with graphs, pie charts, and tables to display key metrics such as reach, engagement, and conversions.
• A patent-pending revenue attribution model to assign sales and revenue contributions to social media activities.
• Campaign management and performance tracking features for ongoing optimization.
• User role-based access controls for tailored user experiences.
• Real-time data updates and notifications for campaign performance and system alerts.

• Social media APIs for data ingestion from platforms like Facebook, Twitter, Instagram.
• Ecommerce systems and platforms for tracking sales and revenue attribution.
• User authentication services and third-party analytics tools as needed.

• Scalability to support increasing data volume and user base post-launch.
• High system availability with 99.9% uptime SLA.
• Data security measures to ensure privacy and compliance, including encryption and access controls.
• Responsive UI for desktop and mobile devices.
• Performance metrics such as sub-2 second load times for dashboards.

The platform is expected to enable clients to more accurately identify high-performing influencers, optimize social media campaigns, and improve revenue attribution accuracy. This will lead to increased marketing ROI, better-informed strategic decisions, and enhanced stakeholder confidence, similar to the prior project's success in delivering a high-quality MVP within six months and supporting ongoing expansion and performance improvements.