Work / Linkrunner — Marketing & Analytics Website
Linkrunner — Marketing & Analytics Website
Designing a marketing website and analytics dashboard for a link management platform.

Problem
Linkrunner needed a marketing website that clearly communicated their value proposition to potential customers, and an analytics dashboard that helped users understand link performance without overwhelming them with data.
Client
Linkrunner
Role
Product Designer
Industry
Marketing Technology
Type
Marketing Website & Web Platform
Scope
UX Design, UI Design, Brand Design, Data Visualization
Context
Linkrunner is a link management and analytics platform. The marketing website needed to explain complex link management concepts to potential users, while the analytics dashboard needed to surface insights without data overload. The platform serves marketers, content creators, and businesses who need to track and optimize link performance. Constraints included: - Need to explain technical concepts in accessible language - Analytics dashboard must work for both beginners and power users - Competitive market requiring clear differentiation - Need for responsive design across devices
My role
I designed the marketing website and analytics dashboard. My responsibilities included: - User research with target customers to understand their needs and language - Design of marketing website structure and content presentation - Design of analytics dashboard interface and data visualization - Creation of clear, accessible explanations of link management concepts - Collaboration with marketing team and frontend engineers I worked closely with the founder, marketing team, and engineering team.
Approach
I researched how potential customers thought about link management and what language resonated with them. Many were confused by technical jargon around link tracking and analytics. Key decisions: - Use clear, benefit-focused language on marketing site - Design analytics dashboard with progressive disclosure—basics first, details on demand - Create simple visualizations that tell stories rather than just showing numbers - Make complex concepts feel approachable through examples and use cases I prioritized clarity and accessibility over showing off technical capabilities.
Key solutions
Benefit-focused marketing pages
I designed marketing pages that led with clear benefits ("Track every click, know what works") rather than technical features. Each page focused on solving specific customer problems with clear examples.

Simplified analytics dashboard
I designed an analytics dashboard that surfaced key insights upfront (top performing links, traffic trends) while keeping detailed data accessible but not prominent. The interface used simple charts and clear labels rather than complex visualizations.

Contextual insights
Instead of just showing numbers, I designed insights that explained what the data meant ("Your links got 23% more clicks this week—likely because of your social media campaign"). This helped users understand not just what happened, but why.
Impact
The marketing website improved conversion rates by helping potential customers understand Linkrunner's value proposition more quickly. User testing showed that visitors could explain what the platform did after viewing just the homepage. The analytics dashboard received positive feedback for being approachable without sacrificing functionality. Users reported feeling more confident using analytics data to make decisions. The clear, benefit-focused language helped Linkrunner differentiate in a competitive market.
What I learned
This project reinforced the importance of speaking your customers' language. Technical accuracy matters less than clear communication that helps customers understand value. I learned that analytics dashboards work best when they tell stories, not just display data. Adding contextual insights that explain "why" made the numbers more meaningful and actionable. The progressive disclosure approach was crucial—making basic insights prominent while keeping advanced features accessible satisfied both beginner and power users. I'd explore more personalized insights based on user goals in future iterations.