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Case Study: News App

Revolutionizing Real-Time News Consumption

A mobile-first approach to delivering breaking news with speed, precision, and a personalized user experience.

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RETENTION

+40%

LOAD TIME

0.8s

USER GROWTH

+150%

SESSION TIME

Project Overview

We partnered with a legacy news agency, to overhaul their digital presence. The goal was to solve low engagement metrics and slow load times by implementing a native-feel Progressive Web App (PWA) that prioritizes mobile users without sacrificing the desktop experience.

The Challenge

Slow Performance

Existing site took over 6 seconds to load, leading to a 70% bounce rate on mobile devices.

Poor Mobile UX

Desktop-first design resulted in unreadable text and tiny touch targets on smaller screens.

Low Engagement

Lack of personalization meant users were served irrelevant content, reducing session times.

Our Solution

Instant Loading

Implemented a PWA architecture with offline capabilities, bringing load times under 1 second.

Mobile-First Design

Designed touch-friendly interfaces with bottom navigation and gesture support for seamless browsing.

AI Personalization

Integrated a recommendation engine to serve tailored news feeds based on reading history.

Core Capabilities

Personalized News Feeds

We built a smart algorithm that learns from reading habits. Users no longer need to sift through irrelevant noise; their homepage adapts to show them the stories that matter most to them, increasing retention by 40%.

Topic preferences
Reading history analysis
Location-based local news

Immersive Dark Mode

Recognizing that news consumption often happens in low-light environments, we designed a high-contrast dark mode that reduces eye strain and conserves battery life on OLED screens.