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Development of a Data-Driven Offer Personalization Engine for Subscription-Based Businesses

lightpointglobal.com

Media

Information technology

Challenges in Subscription Conversion Optimization

The client required a solution to dynamically customize subscription flows and personalize offers for users without technical assistance, while ensuring seamless integration into newspaper ecosystems. Key pain points included low conversion rates due to generic user journeys, lack of adaptive pricing strategies, and vulnerability to fraud/DDoS attacks.

About the Client

A provider of customizable software solutions for automating subscription models and strategic guidance to expand newspaper reach and revenue

Core Project Goals

Develop a frontend personalization engine for dynamic user journey and UI customization
Enable data-driven offer personalization based on user behavior and preferences
Ensure white-label compatibility for brand consistency across newspaper platforms
Implement robust security measures against fraud and cyber threats

System Functionalities

Dynamic adjustment of customer journey steps and UI elements
Personalized subscription options (duration, pricing, content, delivery frequency)
Real-time price elasticity based on user conversion likelihood
Exit-intent popups to reduce purchase abandonment
Fraud detection via reCAPTCHA and IP monitoring
White-label branding capabilities (visuals, URLs, naming)

Technology Stack

TypeScript

Node.js

HTML (PUG)

CSS (Less)

Critical System Integrations

Content Management System (CMS)
Customer Engagement Platform
Offer Builder API
Analytics Server

Non-Functional Requirements

High availability and scalability for traffic spikes
Low-latency personalization rendering
GDPR-compliant data handling
DDoS mitigation and payment fraud prevention

Expected Business Outcomes

A 20-35% increase in subscription conversion rates through hyper-personalized offers, reduced operational costs via automated journey optimization, enhanced brand loyalty through seamless ecosystem integration, and minimized revenue loss from fraud prevention measures.