Case Study: Media | Sr. UX Designer

BRANDED ENTERTAINMENT NETWORK (BEN)

Platform for global media placement and pricing

Challenge: How to design a data-rich marketplace that unifies product placement across both traditional media and the rapidly evolving influencer landscape.

Branded Entertainment Network platform – Responsive Design

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.

Ben landing page

Research for Media Plan creation

Digital Media allocation

IP Details, and Demographic Reach

IP Demographic Summary and comparables

Opportunity Search Results

Media Plan summary showing budget and property allocations across Film, TV, OTT and Digital channels.

Media Plan Creation featuring budget allocation with Gender, Age, ethnicity, income, and interests parameters

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

How to empower media planners in a high-density data environment by cognitive load reduction.

We designed the BEN Insights matrix to turn raw entertainment data into clear, actionable campaign planning decisions.


As UX Designer, I reduced the cognitive load by:

Establishing a unified visual hierarchy that normalizes disparate data sources into a single, cohesive canvas, utilizing standardized component structures and clear categorical color-coding. The interface allows planners to compare traditional product placement options right alongside dynamic digital creator metrics without experiencing cognitive fatigue.


I increased confidence and reduced the time-to-decision by:

• Translating complex, multi-layered audience clusters and algorithmic brand-affinity checks into visual information, so media buyers could confidently ensure brand alignment.

• Creating transparency to show the "why" behind the numbers presented. We designed clear data visualization states – such as interactive slider components, risk-assessment scores, and explicit audience clustering breakdowns—to visually validate the engine's predictive benchmark pricing.

By having markers on the interface that visually reflect adjustments to updated reach predictions, the system feels responsive to immediate market changes.