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市場調查報告書

室內定位技術:零售業者的指南

A Retailers Guide to Indoor Location Technology

出版商 ABI Research 商品編碼 370538
出版日期 內容資訊 英文 24 Pages, 6 Figures
商品交期: 最快1-2個工作天內
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室內定位技術:零售業者的指南 A Retailers Guide to Indoor Location Technology
出版日期: 2016年09月13日 內容資訊: 英文 24 Pages, 6 Figures
簡介

本報告提供零售業者的觀點的室內定位技術的相關調查,對傳統零售業者來說的客戶參與的4個主要支柱(客戶分析、行動、忠誠度、商店內建立極佳的客戶體驗) 的討論,室內定位技術的現有方法大幅度改善以及人員管理,動態價格設定,廣告,及跨通道銷售等廣範圍的二次性優點的支援,新的室內定位技術與趨勢等相關彙整。

第1章 商店內分析:除去非效率性,產生出新的績效指標

  • 實際上是如何利用商店內分析的?
  • 知道有幾種客戶嗎?
  • 從宏到微變化,然後恢復
  • 交叉鏈分析:更正確檢測職員/商店的績效
  • 產品與服務改善的商店內及線上資料的整合
  • 知道最新的廣告宣傳/商店設計/窗顯示器的方法?
  • 沒有商店內分析就不能識別/再標靶化
  • 職員管理
  • 對預測建模的變化
  • 商店內分析:行動廣告
  • 品牌不會等待緩慢的零售業者
  • 動態價格設定

第2章 如何防止行動商務,繼電子商務

  • 零售產業的動向遲而無效率
  • 為了利益使用行動
  • 作出訪問的理由
  • 行動平台在商店以外怎麼使用?
  • 「應用」結束,接近鑰匙

第3章 忠誠度的再次考慮

  • 忠誠度計畫正確不能測量忠誠度
  • 馬斯洛的慾望階段論的忠誠度
  • 朝向非理智的忠誠度發展
  • 非理智的忠誠度是什麼樣子?
  • 唐納德·特朗普和英國脫離EU非理智的忠誠度告訴我們什麼?

第4章 室內定位及商店內分析的實行方法

  • 除去變化的風險
  • 吸引人的4個階段及現有客戶

分析對象企業

  • Acuity Brands
  • Aldi
  • Amazon
  • American Airlines
  • Apple Inc
  • CA Inc.
  • Euclid
  • Google
  • IES
  • ING Group
  • Intel Corporation
  • Irisys
  • Philips
  • Point Inside
  • PT
  • Purple
  • SK corp
  • Starbucks
  • Two Technologies Inc
  • Uber
  • United Technologies Corporation
  • USA Technologies
  • Walkbase
目錄
Product Code: AN-2058

This report looks at indoor location technologies from a retailers perspective. The report considers 4 major pillars of customer engagement for bricks and mortar retailers; customer analytics, mobile, loyalty and creating an exciting in-store customer experience. This report illustrates how indoor location technology can significantly improve on existing approaches as well as being as supporting a huge range of secondary benefits such as staff management, dynamic pricing, advertising and cross channel sales. The report also looks at new indoor location technologies and trends that will have a big impact on how retailers engage with customers through their mobile over the next 5 years.

Table of Contents

1. IN-STORE ANALYTICS: REMOVING INEFFICIENCIES AND CREATING NEW PERFORMANCE METRICS

  • 1.1. HOW CAN I ACTUALLY USE IN-STORE ANALYTICS?
  • 1.2. HOW MANY TYPES OF CUSTOMERS DO YOU KNOW ABOUT?
  • 1.3. MOVING FROM MACRO TO MICRO AND BACK AGAIN
  • 1.4. CROSS-CHAIN ANALYSIS: MEASURING STAFF/STORE PERFORMANCE MORE ACCURATELY
  • 1.5. MERGING IN-STORE AND ONLINE DATA TO IMPROVE PRODUCTS AND SERVICES
  • 1.6. HOW DO YOU KNOW YOUR LATEST ADVERTISING CAMPAIGN/STORE LAYOUT/WINDOW DISPLAY WORKED?
  • 1.7. YOU CAN'T DO ATTRIBUTION/RETARGETING WITHOUT IN-STORE ANALYTICS
  • 1.8. STAFF MANAGEMENT
  • 1.9. SHIFTING TO PREDICTIVE MODELING
  • 1.10. IN-STORE ANALYTICS = MOBILE ADVERTISING
  • 1.11. BRANDS WON'T WAIT FOR SLOW RETAILERS
  • 1.12. DYNAMIC PRICING

2. HOW TO PREVENT M-COMMERCE, FOLLOWING E-COMMERCE

  • 2.1. THE RETAIL INDUSTRY IS MOVING TOO SLOWLY AND INEFFECTIVELY
  • 2.2. USING MOBILE TO YOUR ADVANTAGE
  • 2.3. CREATING A REASON TO VISIT
  • 2.4. HOW IS YOUR MOBILE PLATFORM USED BEYOND THE STORE?
  • 2.5. The "app" is dead AND PROXIMITY IS KEY

3. RETHINKING LOYALTY

  • 3.1. LOYALTY PROGRAMS ARE INCAPABLE OF ACCURATELY MEASURING LOYALTY
  • 3.2. LOYALTY THROUGH THE PRISM OF MASLOW'S HIERARCHY OF NEEDS
  • 3.3. EVOLVING TOWARDS EMOTIONAL LOYALTY
  • 3.4. WHAT DOES EMOTIONAL LOYALTY LOOK LIKE?
  • 3.5. WHAT CAN DONALD TRUMP AND BREXIT TEACH US ABOUT EMOTIONAL LOYALTY?

4. HOW TO IMPLEMENT INDOOR LOCATION AND IN-STORE ANALYTICS

  • 4.1. REMOVING THE RISK OF CHANGE: IDENTIFY. TRIAL. MEASURE. IMPLEMENT???.ANTICIPATE
  • 4.2. FOUR STEPS TO ENGAGING AND EXCITING CUSTOMERS

Companies Mentioned

  • Acuity Brands
  • Aldi
  • Amazon
  • American Airlines
  • Apple Inc
  • CA Inc.
  • Euclid
  • Google
  • IES
  • ING Group
  • Intel Corporation
  • Irisys
  • Philips
  • Point Inside
  • PT
  • Purple
  • SK corp
  • Starbucks
  • Two Technologies Inc
  • Uber
  • United Technologies Corporation
  • USA Technologies
  • Walkbase
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