JNToken
  • The JN Token Whitepaper
  • Introduction
    • Mission
    • Project Overview
    • Innovative Project Realization
  • The JAN-Navi Platform
    • Ecosystem
    • Pioneering Achievements
    • Creating New Value Through Web3
    • JAN-Navi e-Sports
  • JN Token
    • Decentralization of e-Sports with JN Token
    • JN Token Ecosystem
    • JN Token Utility
    • JN Token Event Features
    • JN Token Pricing Strategy
    • Technical Information
    • Token Allocation and Lockup Schedule
    • Private Sales
  • Mahjong Big Data DePin Project
    • Overview of Mahjong Big Data DePIN Project
    • Business Model
    • What is Big Data?
    • Online Player Data Collection
    • Offline Player Data Collection
    • Matching Algorithm
    • Global Matchmaking
    • Integration of JN Token and DePIN Ecosystem
  • Expansion of the JAN-Navi ecosystem
    • Market Development by JAN-Navi
    • Network Integration and Data Coordination of Mahjong Parlors
    • JAN-Navi White Label Expansion
    • O2O (Online to Offline) Strategy
    • Extension to Other Table Games
  • Technical Architecture
    • Technical Superiority
    • Data Decentralization and Security
  • Roadmap
    • Project Roadmap
    • Pilot Mahjong Big Data Project Deployment
    • JAN-Navi Phased Expansion
  • Appendices
    • JAN-Navi e-Sports Guidelines
    • JAN-Navi Demographics
    • Forecast for the Growth of the e-Sports Market
    • Team and Partners
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  1. Expansion of the JAN-Navi ecosystem

O2O (Online to Offline) Strategy

The JAN-Navi platform's O2O strategy focuses on utilizing online customer engagement to enhance offline experiences, leveraging data analysis to create tailored services and marketing strategies.

  • Online Customer Acquisition JAN-Navi's digital platform is a powerful marketing tool to attract Mahjong enthusiasts worldwide. Through extensive online promotional activities, we can reach new customer segments on an unprecedented scale.

  • Customer Data Analysis The JAN-Navi platform collects detailed data on users' game data, playing styles, and preferences. This big data can be analyzed using machine learning to understand customer trends and develop optimal marketing strategies.

  • Enhanced Offline Experience Utilize customer data collected online to optimize the experience in physical stores. This can significantly improve customer satisfaction by offering services tailored to each player's preferences, planning new content and events, and more.

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Last updated 11 months ago