CDP B2B Platform MVP

Managing customer data across multiple channels is a significant challenge for modern enterprise businesses. Data fragmentation leads to inconsistent user experiences and inefficient marketing campaigns.

The goal of the CDP (Customer Data Platform) B2B project was to design a comprehensive yet intuitive platform that allows marketing and data teams to aggregate customer information, build complex audience segments, and seamlessly trigger automated campaigns—without writing any SQL code.

I was responsible for the design and frontend development of the **NextData** platform MVP, ensuring a seamless bridge between complex data requirements and a high-performance user interface.

We designed a centralized B2B dashboard that simplifies data operations. The core of the solution is a visual drag-and-drop segment builder that translates complex data queries into an accessible UI.

• Unified Dashboard: At-a-glance metrics on customer acquisition, retention, and campaign performance.
• Visual Segment Builder: Intuitive interface for creating multi-layered audience segments using Boolean logic.
• Campaign Orchestrator: A node-based journey builder for mapping out automated marketing interactions.
• Data Sources Management: Easy-to-use integration hub for connecting third-party APIs and databases.

1. Discovery & Research: Conducted interviews with marketing professionals and data analysts to understand their pain points and workflows.
2. Information Architecture: Mapped out the complex system of data entities, relations, and user permissions to ensure a logical structure.
3. Wireframing & Prototyping: Created low-fidelity wireframes to validate the flow of the visual segment builder and dashboard.
4. UI/UX Design: Developed a clean, professional, and accessible design system suitable for a complex B2B enterprise tool.

The resulting design transformed a highly technical workflow into an accessible, user-centric experience. The visual segment builder significantly reduced the time required to launch new campaigns and decreased reliance on backend data engineers.