The client lacked robust mechanisms for tracking revenue, ad spend, and channel attribution, hindering their ability to gain financial and marketing insights. The absence of traffic source tracking limited their understanding of audience acquisition, complicating marketing optimization.

DataRopes.ai developed a comprehensive solution, focusing on SQL-based analytical models and advanced machine learning techniques. Key features of the solution included:

The implementation of these tools provided real-time revenue visibility, enabling the client to allocate marketing budgets more effectively and boost campaign efficiency. Our forecasting system allowed the client to make more accurate revenue predictions, resulting in better financial planning. The product clustering analysis helped the client focus on high-value items, improving advertising ROI, while inventory forecasting reduced overstock situations by 15%, optimizing inventory management and resource allocation.