AdSightful - The Revenue Engine for Modern Advertising

Before Booth, I spent eight years working in marketing and advertising analytics, and one thing became painfully clear: nobody had a timely, unified view of how media was contributing to total sales. Brands kept sales data in one place, agencies kept media data in another, and modeling outputs often arrived weeks or months later. Watching teams make multimillion-dollar decisions without a complete or current signal is what inspired AdSightful.

This submission is a functional front-end prototype supported by a complete architectural blueprint for data ingestion, unification, synthetic sales filling, and daily incremental modeling. It includes a full product pitch, dashboard flows, a unified data schema, and a backend architecture mock showing how the modeling engine would operate.

The biggest challenge during the hackathon was time and validating the accuracy of the modeling component. Implementing the full modeling engine and infrastructure layer is a substantial engineering effort and building it end-to-end wasn’t feasible within the time constraints. Instead, I focused on designing a realistic architecture and producing a comprehensive, functional UI and system mock that reflects how the product would actually work. The modeling component also needs to be validated for accuracy in order to gain real traction.

I’m proud of how complete the front end and architecture mock became, and the next step is prototyping the back-end services and incremental modeling engine.

AdSightful represents what I always wanted as a practitioner: one place to unify media and sales, fill missing data intelligently, and deliver incremental revenue signals fast enough to actually make decisions.

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