Audience Intelligence & Recommendation Platform
Project Overview
Gallo Media is a recommendation platform designed to ingest customer data, connect external behavioral signals, identify audience patterns, and generate actionable recommendations.
The challenge was to transform a technically complex data ecosystem into a clear and intuitive product experience for business and marketing teams.
ROLE
AI Product Designer
CLIENT
Marketing Company
DURATION
7 months
RESPONSABILITIES
End-to-End UX/UI Design Process
TEAM
Forward Deploy Engineers, Frontend Developer
Problem
Customer data is often fragmented across CRMs, product databases and external digital sources, making it difficult to build a complete understanding of an audience.
Gallo Media needed a way to connect these different data sources and turn them into something teams could actually understand and act on.
This resulted in challenges such as:
Fragmented customer and product data.
Difficulty identifying relationships between customer profiles.
Limited understanding of audience behavior and interests.
Difficulty translating data into actionable business opportunities.
The challenge was to simplify a complex intelligence system into an experience that feels clear, actionable and easy to explore.
Objectives
Create a view of customers across different data sources
Turn complex matching and AI processes into clear insights
Help teams discover meaningful audience segments
Connect audience intelligence with recommendations and strategic next steps
As a Product Designer, I was responsible for:
Collaborating with the development team for implementation
Understanding the product ecosystem
Defining the information architecture
Designing end-to-end user flows
Designing the product interface
Creating an AI-native visual language
One of the main design challenges was avoiding the feeling of a traditional data platform.
The underlying system is highly technical, involving data ingestion, matching algorithms, psychographic analysis, clustering and recommendation models.
Instead of presenting users with raw data, the interface was designed around discovery.
Design Solution
The final experience turns a complex recommendation dashboard vibe system into an AI-native intelligence platform.
The interface combines data visualization, behavioral signals, audience profiles and AI-generated insights to create an experience that feels less like traditional analytics and more like exploring a living intelligence system.
