Cover Image
市場調查報告書

專用分析功能,強化「個人化」經驗,確保新收益來源

Purpose-Built Analytics Advances the Personalization Experience While Capturing New Revenue

出版商 Frost & Sullivan 商品編碼 333957
出版日期 內容資訊 英文 23 Pages
商品交期: 最快1-2個工作天內
價格
Back to Top
專用分析功能,強化「個人化」經驗,確保新收益來源 Purpose-Built Analytics Advances the Personalization Experience While Capturing New Revenue
出版日期: 2015年06月25日 內容資訊: 英文 23 Pages
簡介

本報告提供所有通訊服務供應商 (以下CSP) 今日所面臨的、資料使用量擴大伴隨的各種問題相關分析、有效收費方法的理想狀態,及資料利用、收費相關客戶經驗的改善方法、新的客戶價值、收益來源的開拓方法等相關調查與考察。

簡介

客戶的資料經驗:支援行動服務的需求

  • 「60秒處理」目前數位、生活方式
  • 行動影片與智慧型手機的市場開拓
  • 差距的擴大:資料的爆炸性增加和收益低
  • 收費解決方案的一體化:商務轉換的主要部分
  • 資料處理數量:現狀與未來

這個資料到底對什麼有用?

  • 「網路的中立性」促進「行銷的細分化」
  • 傳統的方法:CSP的網路管理、收費的資料收集、分析方法
  • 新世代:CSP的客戶中心型的資料收集、分析方法

客戶行動價值的有效利用:即時式利用分析

  • 「客戶中心主義」,成為對商務而言的「新的真實」
  • 客戶的「資料收費經驗」的強化
  • CSP的利用案例:分析功能的客戶行動變化與確保新的收益來源
    • 成為新收益來源的服務的使用概況 相關假設
    • 分析功能的最初的過濾器:收費循環功能的應用利用
    • 先進的過濾器:收費循環的最末週應用的使用率下降
    • 收益管理的改善:即時式、標的型行銷
    • 即時式業績報告功能
  • 多合一服務、服務提供商的利用案例:客戶的理解、開拓新的收益來源,TV收看率的重要性

結論

圖表一覽

目錄
Product Code: D532-00-B0-00-00

This report provides an analysis of the ongoing data usage growth challenge that all CSPs presently face. The report shows how the generation of billions of daily usage transactions is key to improving the customer experience and unlocking greater customer value.

Table of Contents

Introduction

The Customer Data Experience - Mobile Services Enable Demand

  • Our Digital Lifestyle in Sixty Seconds
  • Mobile Video and Smartphones Lead the Way
  • The Gap is Widening: Exponential Data Volumes and Decreasing Revenues
  • Billing Solution Consolidation: A Key Part of Business Transformation
  • Data Processing Volumes: Today and Tomorrow

What is All of This Data Good For?

  • Net Neutrality Will Drive Segmented Marketing
  • Traditional: CSP Data Collection and Analysis for Network Management and Billing
  • New Generation: Customer-Centric CSP Data Collection and Analysis

Unlocking the Value of Customer Behavior: Real-Time Usage Analysis

  • Customer Centricity is the New Business Reality
  • Enhancing the Customer Data Charging Experience
  • CSP Use Case: Analytics Changes Customer Behavior and Captures New Revenue
    • New Revenue-Generating Service Usage Hypothesis
    • Initial Analysis Filter - Application Usage as a Function of Billing Cycle
    • Advanced Filter - Application Usage Drop-off During Last Week of Billing Cycle
    • Improved Yield Management - Real-Time Target Marketing
    • Real-Time Business Results Reporting
  • Multi-Play Service Provider Use Case: The Importance of TV Audience Measurement to Customer Understanding and Opening New Revenue Streams

The Last Word

List of Exhibits

  • Exhibit 1: Global Internet Usage in 60 Seconds
  • Exhibit 2: Projected Global Mobile Data Traffic 2014 - 2019
  • Exhibit 3: Usage Transaction Processing Volume per Day
  • Exhibit 4: Customer Data Usage Subset by Application Type
  • Exhibit 5: Application Usage Drop-off as a Function of Billing Cycle - Total Group
  • Exhibit 6: Application Usage Drop-off as a Function of Billing Cycle - Select Group
  • Exhibit 7: Openet Real-Time Offer Manager Solution Framework
  • Exhibit 8: Daily Performance - Service Offers Verses Customer Acceptance
  • Exhibit 9: Daily Earnings from New Offer Take-up
  • Exhibit 10: Openet Audience Measurement Solution Overview
Back to Top