PROBLEM

The rise of social media and influencer marketing completely disrupted the media placement industry.

Marketers were flooded with real-time analytics, yet lacked a centralized tool to effectively compare, price, and negotiate placements.

Managing fragmented data across traditional entertainment and up-to-the-minute creator content made cohesive budget allocation nearly impossible.

SOLUTION

An industry-first procurement platform featuring a clean, high-density interface that synthesizes complex, dynamic data. The system allows marketers to seamlessly analyze an influencer’s social footprint alongside traditional media assets. By integrating granular, real-time analytics directly into the UI, users can confidently price, book, and dynamically adjust their media spend in a single, unified workspace.

SCOPE

End-to-end platform design for cross-media placement and predictive pricing models.

ROLE

User Experience Designer, User Interface Designer, Interaction Designer

INSIGHTS

De-risking cross-channel entertainment investments with comprehensive data mapping

• Audience Matching Engine

Analyzes demographic segments across age, gender, geographic location, and deep affinity behaviors to ensure brand alignment.

• Predictive Pricing Models

Uses historical transaction data to generate benchmark pricing, letting users negotiate with creators and production houses from a position of data-backed authority.

• Continuous Machine Learning Loop

Feeds active campaign performance metrics right back into the UI, dynamically refining future reach predictions every time a plan updates.