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市場調査レポート

モバイルクーポン & オンラインクーポン

Mobile & Online Coupons

発行 Juniper Research 商品コード 225401
出版日 ページ情報 英文
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=101.39円で換算しております。
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モバイルクーポン & オンラインクーポン Mobile & Online Coupons
出版日: 2015年12月08日 ページ情報: 英文
概要

当レポートでは、デジタルコンピューティングおよびロイヤルティ市場の発展について調査し、モバイル移行からハイパーパーソナライゼーションまで、市場を形成する「メガトレンド」の追跡調査、成長促進因子およびステークホルダーと消費者の双方が直面する課題の評価、および広範な主要メトリクスの詳細な予測を提供しています。

主な調査項目

  • ビーコンやNFCといった近接技術は、いかにしてクーポン市場を活気づけるか?
  • ハイパーパーソナライゼーションとは何か、またリテラーはどのような戦略を導入するのか?
  • ロイヤルティサービスをモバイルへと強力に移行しているのはどのブランド・リテラーか?
  • リテラーが優先的に対応する必要があるのはどのクーポン課題か?
  • デジタルの開始はクーポンの役割をどのように変化させるか?

本調査で言及した企業

  • インタビュー
  • プロファイル
  • 言及

データ & インタラクティブ予測

  • デジタルクーポンユーザー数、提供数、引き換え数・引き換え額、利用額・取引額:7つのモバイルチャネル別
    • SMS
    • MMS
    • Eメール
    • インターネット
    • アプリケーション
    • ビーコン
    • NFC
    • モバイル、デスクトップ/ラップトップ
  • モバイルロイヤルティカード数
  • 8つの主要地域・11の主要市場
    • カナダ
    • 中国
    • デンマーク
    • ドイツ
    • 日本
    • ノルウェー
    • ポルトガル
    • スペイン
    • スウェーデン
    • 英国
    • 米国
  • ユーザーが10のメトリクスで操作可能なJuniperのデータインタラクティブシナリオツール
  • 92の図表と11,000以上のデータポイントを含むフルセットの予測データへのアクセス

このページに掲載されている内容は最新版と異なる場合があります。詳細はお問い合わせください。

目次

Overview

Our Mobile & Online Coupons research offers expert analysis of the latest developments and platform deployments in this critical mCommerce sector.

As retail becomes an ever more connected experience, brands and retailers are increasingly seeking to extend their engagement with consumers, moving beyond creating awareness and facilitating payment to a deeper and richer integration of loyalty programmes.

This research:

  • Explores the evolution of the digital couponing and loyalty space.
  • Tracks the ‘megatrends' shaping the market, from mobile migration to hyperpersonalisation.
  • Assesses the key drivers and challenges facing both stakeholders and consumers.
  • Provides the most in-depth forecasts across a range of key metrics.

Key Features

  • Couponing challenge assessment matrix.
  • Analysis of key trends and stakeholder strategies.
  • Heat map assessment of mobile and online couponing platform providers, player profiles and matrix ranking.
  • Market forecasts for mobile and online coupon delivery and redemption volumes, user numbers and redemption values, together with mobile loyalty card user numbers.

Key Questions

  • 1. How will proximity technologies such as beacons and NFC energise the couponing space?
  • 2. What is hyperpersonalisation, and what strategies have retailers developed to put it in place?
  • 3. Which brands and retailers have seen strong migration of their loyalty services to mobile?
  • 4. Which couponing challenges do retailers need to address as a priority?
  • 5. How has the onset of digital changed the role of the coupon?

Companies Referenced

Interviewed: CodeBroker, Eagle Eye, i-movo, Proxama, RetailMeNot, SnipSnap.

Profiled: CodeBroker, i-movo, Inmar, Quotient Technology, Kinobeo Software, Eagle Eye, Proxama, RetailMeNot, SnipSnap, Spindle, Valassis, Valpak.

Mentioned: 2ergo, A&P, ABRY Partners, Acculynk, Actiepagina.nl, Advanced Auto Parts, Airtel, Alex & Ani, Alibaba, Amazon, American Express, Apple, ARM, Asda, Ashley Madison, Bank of America, Barclaycard, Bed, Bath & Beyond, Best Buy, Bond Brand Loyalty, Bons-de-Reduction.com, Boots, BP, Brand.net, British Airways, Capgemini, Catalyst Business Development, Cenra Software, Chase Bank, Cheapstingybargains, Cisco, Clorox, CMG (Cox Media Group), Coca Cola, Colloquy, Consult Hyperion, Costa Coffee, Costco, Coupon Sherpa, Coupon7, CouponDunia, Coyote Hills Golf, CTF (Chow Tai Fook), CVS, Cyber Group, Deals.com, Deals2Buy, Diners Club, Dianping, Disney, Dollar General, DreamIt Ventures, DSW. Duane Reade, eBay, eConversions, edo, ePay, Equirus Capital, Ericsson, Europay, Eventbrite, Experian CheetahMail, Exterion Media, Eye Airports, Facebook, Fiserv, Foster's, Framework Technologies, GAME, Gannett, General Mills, Gimbal, GM (General Motors), Google, Greggs, Harland Clarke Holdings, Harrods, H-E-B, Heinz, House of Fraser, Hudson's Bay, Info Edge India, Intercontinental Hotels Group, International Testing Services, iPayMobil, IRCTC (Indian Railway Catering and Tourism Corporation), JD Sports, JICC (Joint Industry Coupon Committee), Johnson & Johnson, Kellogg's, Kenneth Cole, Kimberly Clark, Kinis (Software) Solutions, Kmart, Kraft Foods, Kroger, Ladbrokes, Longships, Lord & Taylor, Lucozade, Lufthansa, Macy's, Maestro, Ma-Reduc.com, Marks & Spencer, Marriott Rewards, MasterCard, McColl's, McDonald's, Meituan, MeNetwork, Microsoft, Mitchells and Butlers, Moolah, Morgan Stanley, Morrison's, Navy Credit Union, Navy Federal, Nestlé, Netflix, Nets, Niemann Foods, O2, One Stop, OnStar, Open Market, Owler.com, Parallel Solutions, Party City, PayPal, PayPoint, Payzone, Pinterest, Pizza Hut, PizzaExpress, Poulpeo.com, Poynt, Qples, Raziehs Skin Care, Rescan, Retail Data Partnerships, Rite Aid, Safeway, Sainsbury's, Samsung, Savings.com, Savoo.co.uk, Scanner Applications, Sears, Sensoro, Sephora, Shopmium, Shopular, Signifi, SK Telecom, Slyce, Softcard, Spar, Staples, Strongbow, StubHub, Subway, Superdrug, Swirl Networks, Target, Technology Advice, Technology Strategy Board, Telstra, Tencent, Tesco, The Co-operative, The Coupons App, Thomas Pink, Ticketmaster, Timberland, Toshiba, Toys R Us, Transport for London, TruEffect, Twitter, Ubiquitous, UnionPay, Urban Outfitters, Virgin, Visa, Vodafone, VoucherCodes.co.uk, Waitrose, Walgreens, Walmart, Waterstones, WeChat, Weve, Wild Bean Café, Yowza!!, Yub.

Data & Interactive Forecast

The forecast suite includes:

  • Digital coupon users, volumes delivered, volumes redeemed and redemption value, usage and transaction values, split by 7 mobile channels:
    • SMS
    • MMS
    • Email
    • Internet
    • App
    • Beacon
    • NFC
    • Mobile, desktop/laptop
  • Mobile loyalty card volumes.
  • Splits by 8 Key Regions and by 11 Key Markets:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • US
  • Interactive Scenario tool allowing user the ability to manipulate Juniper's data for 10 different metrics.
  • Access to the full set of forecast data of 92 tables and more than 11,000 data points.

Juniper Research's highly granular Ifxls (Interactive Forecast Excels) enable clients to manipulate Juniper's forecast data and charts to test their own assumptions, perform what-if analysis; and compare select markets side by side in customised charts and tables.

Ifxls greatly increase clients' ability both to understand a particular market and to integrate their own views into the model.

Table of Contents

1. The Evolution of the Coupon

  • 1.1. A Marketplace in Flux
  • 1.2. Market Dynamics
    • Figure 1.1: Juniper Sector Dynamics - Mobile & Online Couponing Drivers, Trends & Constraints

2. Methodology

  • 2.1. Introduction
  • 2.2. Forecast Approach
    • Figure 2.1: Juniper Research Forecast Approach
  • 2.3. Forecast Definitions
  • 2.4. Forecast Methodology
    • Figure 2.2: Mobile & Online Coupons Forecast Methodology
  • 2.4. Forecast Methodology

3. Forecast Summary

  • 3.1. Forecast Summary
    • Figure 2.2: Mobile & Online Coupons Forecast Methodology
    • Figure & Table 3.1: Total Number of eCoupons Issued (m) by Device Type 2015-2020
    • Figure & Table 3.2: Total Number of eCoupons Redeemed (m) by Device 2015-2020
    • 3.1.1. Total eCoupon Redemption Values
      • Figure & Table 3.3: Total Redemption Value of eCoupons ($m) Split by 8 Key Regions 2015-2020
  • 3.2. Comparison with Alternative Forecasts
    • Table 3.4: Forecasts for US Mobile Coupon Users (m), Juniper Research vs eMarketer, 2014-2016

4. Mobile Coupon Forecasts

  • 4.1.1. Mobile Subscriber Base
    • Figure & Table 4.1: Mobile Subscriber Base (m)Split by 8 Key Regions 2015-2020
  • 4.1.2. Mobile Coupon User Base
    • Figure & Table 4.2: Percentage of Adult (15+) Population (%)Who Use Mobile Coupons Split by 8 Key Regions 2015-2020
    • Figure & Table 4.3: Mobile Coupon User Base (m)Split by 8 Key Regions 2015-2020
  • 4.2. Mobile Coupons Issued Forecast
    • 4.2.1. SMS Mobile Coupons Issued
      • Figure & Table 4.4: Number of SMS Mobile Coupons Issued Per Annum (m) Split by 8 Key Regions 2015-2020
    • 4.2.2. MMS Mobile Coupons Issued
      • Figure & Table 4.5: Number of MMS Mobile Coupons Issued Per Annum (m) Split by 8 Key Regions 2015-2020
    • 4.2.3. Mobile Email Coupons Issued
      • Figure & Table 4.6: Number of Mobile Email Coupons Issued Per Annum (m) Split by 8 Key Regions 2015-2020
    • 4.2.4. Mobile Web Coupons Issued
      • Figure & Table 4.7: Number of Mobile Web Coupons Issued Per Annum (m): Split by 8 Key Regions 2015-2020
    • 4.2.5. Mobile App Coupons Issued
      • Figure & Table 4.8: Number of Mobile App Coupons Issued Per Annum (m): Split by 8 Key Regions 2015-2020
    • 4.2.6. NFC Coupons Issued
      • Figure & Table 4.9: Number of NFC Coupons Downloaded Per Annum (m) Split by 8 Key Regions 2015-2020
    • 4.2.7. Beacon Coupons Issued
      • Figure & Table 4.1O: Number of Beacon Coupons Issued Per Annum (m) Split 8 Key Regions 2015-2020
    • 4.2.8. Total Number of Mobile Coupons Issued
      • Figure & Table 4.11: Number of Mobile Coupons Issued Per Annum Across all Channels (m) Split by 8 Key Regions 2015-2020
      • Figure & Table 4.12: Mobile Coupons Issued Per Annum (m) Split by Mobile Marketing Channel 2015-2020
      • Figure & Table 4.13: Mobile Coupons Issued (%)Split by Mobile Marketing Channel 2015-2020
    • 4.2.9. Mobile Coupons Issued Per User
      • Figure & Table 4.14: Average Number of Mobile Coupons Issued Per Annum Per Mobile Coupon User Split by 8 Key Regions 2015-2020
    • 4.2.10. Mobile Coupons Users By Mobile Marketing Channel
      • Figure & Table 4.15: Mobile Coupon Users (m) Split by Mobile Marketing Change 2015-2020
  • 4.3. Mobile Coupons Redeemed Forecast
    • 4.3.1. Redemption Rates Per Channel
      • Figure & Table 4.16: Mobile Coupons Redeemed (%)Split by Mobile Marketing Channel 2015-2020
    • 4.3.2. Redemption Rates Per Region
      • Table 4.17: Mobile Coupon Redemption Rate (%)Split by 8 Key Regions 2015-2020
      • Figure & Table 4.18: Average Number of Mobile Coupons Redeemed Per Mobile Coupon User Per Annum Split by 8 Key Regions 2015-2020
    • 4.3.3. Total Number of Mobile Coupons Redeemed
      • Figure & Table 4.19: Number of Mobile Coupons Redeemed Per Annum (m) Split by 8 Key Regions 2015-2020
      • Figure & Table 4.20: Mobile Coupons Redeemed Per Annum Across all Channels (m) Split by Mobile Marketing Channel 2015-2020
  • 4.4 Mobile Coupon Retail Redemption Value Forecast
    • 4.4.1. Average Mobile Coupon Redemption Value
      • Figure & Table 4.21: Average Mobile Coupon Redemption Value ($)Split by 8 Key Regions 2015-2020
    • 4.4.2. Total Mobile Coupon Redemption Value
      • Figure & Table 4.22: Total Mobile Coupon Retail Redemption Value ($m)Split by 8 Key Regions 2015-2020

5. 0nline Coupon Forecasts

  • 5.1. 0nline Coupon Forecasts
    • 5.1.1. Desktop/Laptop Coupon User Base
      • Figure & Table 5.1: Percentage of Adults Using eCoupons Delivered via Desktop/Laptop (%) Split by 8 Key Regions 2015-2020
      • Figure & Table 5.2: Number of Adults Using eCoupons Delivered Via Desktop/Laptop (m) Split by 8 Key Regions 2015-2020
      • Figure & Table 5.2: Number of Adults Using eCoupons Delivered Via Desktop/Laptop (m) Split by 8 Key Regions 2015-2020
    • 5.1.2. Desktop/Laptop Coupons Issued
      • Figure & Table 5.3: Average Number of eCoupons Delivered Via Desktop/Laptops Per User Per Annum Split by 8 Key Regions 2015-2020
      • Figure & Table 5.4: Total Number of eCoupons Delivered to Desktops/Laptops Per Annum (m) Split by 8 Key Regions 2015-2020
    • 5.1.3. Desktop/Laptop Coupons Redeemed Forecasts
      • Figure & Table 5.5: Redemption Rate of eCoupons Delivered to Desktops/Laptops (%) Split by 8 Key Regions 2015-2020
      • Figure & Table 5.6: Number of eCoupons Delivered to Desktops/Laptops Which are Redeemed (m) Split by 8 Key Regions 2015-2020
      • Figure & Table 5.7: Average eCoupon Redemption Value ($)Split by 8 Key Regions 2015-2020
    • 5.1.4. Desktop/Laptop Redemption Value
      • Figure & Table 5.8: Total Redemption Value of eCoupons Delivered to Desktops/Laptops ($m) Split by 8 Key Regions 2015-2020

6. Mobile Loyalty Forecasts

  • 6.1. Mobile Loyalty Forecasts
    • Figure & Table 6.1: Proportion of Loyalty Cards Linked tolReplaced by Mobile Apps (%) Split by 8 Key Regions 2015-2020
    • Figure & Table 6.2: Number of Loyalty Cards Linked tolReplaced by Mobile Apps (m) Split by 8 Key Regions 2015-2020
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