Development of a Social Sharing Analytics and Engagement Platform for Retail eCommerce

The client faces difficulties in accurately capturing, visualizing, and analyzing how customers share and recommend products via social media, email, and blogs. They lack a real-time dashboard to measure the reach and influence of user-generated content from the point of purchase onward, hindering their ability to evaluate social media ROI and optimize marketing strategies.

A mid-sized online retail company aiming to enhance customer engagement and measure social media sharing impact.

• Create an internal analytics dashboard that tracks and measures customer recommendation and sharing activities across the web in real-time.
• Enable visualization and segmentation of sharing data based on source, platform, and content type to inform marketing decisions.
• Provide detailed customer and sharing behavior insights to enhance targeted marketing efforts.
• Improve measurement of social media ROI by quantifying share-driven conversions and engagement.
• Support scalable and secure data collection and reporting infrastructure to accommodate growing user activity.

• Social Sharing Button Integration: Enable users to easily share products via social networks, email, and blogs with tracking capabilities.
• Real-Time Data Tracking: Collect and process sharing actions immediately as they occur on the website.
• Analytics Dashboard: Provide a user-friendly interface to visualize sharing trends, sources, and content segmentation.
• Customer Data Segmentation: Segment customers based on sharing behavior and preferences for targeted marketing.
• Conversion Attribution: Link social shares to subsequent purchases or interactions to measure ROI.
• Reporting and Alerts: Generate customizable reports and send alerts for significant sharing activities or trends.

• Social media APIs (e.g., Facebook, Twitter, LinkedIn) for share tracking
• Email and blogging platforms for recommendation data collection
• E-commerce platform APIs for purchase tracking and conversion attribution
• Customer relationship management (CRM) systems for detailed customer insights

• System must support at least 10,000 concurrent users and high-volume sharing data processing.
• Data privacy compliance (e.g., GDPR) for customer information.
• System uptime of 99.9% with minimal latency (<1 second for data visualization updates).
• Secure data storage with encryption for customer and sharing data.

The deployment of the social sharing analytics system is anticipated to enable the client to accurately measure social media ROI, increase sharing activities by optimizing user engagement features, and enhance targeted marketing strategies. The client expects to gain precise insights into where, how, and what content is shared, leading to improved marketing conversions and a measurable uplift in revenue from social-driven sales.