Idea
Adaptive landing page navigation platform that personalizes user experience to increase engagement and retention on multi-page online platforms.
Research Paper
Core Innovation
This paper introduces KLAN, a hierarchical framework that uniquely models both long-term static user preferences and short-term dynamic interest transitions within a day. Unlike prior approaches, it integrates inter-day and intra-day user behavior to optimize landing page selection, enhancing user engagement and lifetime value. The system's deployment at scale on Kuaishou validates its effectiveness in real-world settings.
Market Size (TAM)
$20–50B TAM, $2–10B SAM; assumption: large global market for personalized content delivery and user engagement platforms in digital media and e-commerce.
Potential Customers & Pain Points
- Multi-page Online Platforms Needing Personalized User Navigation
- Digital Marketing Teams Seeking Higher User Engagement
- Product Managers Aiming to Improve User Retention
Business Model
SaaS platform offering subscription tiers based on user volume and feature access; enterprise licensing for large-scale deployments.
Competitive Landscape
- Google Optimize
- Optimizely
- Adobe Target
Implementation Challenges
- Data Privacy and User Consent Compliance
- Integration Complexity with Existing Platforms
- Scalability for Diverse User Bases
Validation Strategy
- Pilot deployment with select online platforms to measure engagement uplift
- A/B testing comparing KLAN-driven navigation versus baseline methods
- Collect user retention and lifetime metrics post-implementation
Research Paper Overview
KLAN: Kuaishou Landing-page Adaptive Navigator
Summary
KLAN addresses the challenge of personalized landing page selection in multi-page online platforms by proposing a hierarchical framework that models both inter-day static preferences and intra-day dynamic interest transitions to optimize user navigation and engagement. Deployed on Kuaishou, it demonstrated measurable improvements in daily active users and user lifetime, serving hundreds of millions of users.