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市場調查報告書

數字忠誠計劃

Digital Loyalty Programmes: Market Trends, Credit Cards & Retailer Readiness 2020-2025

出版商 Juniper Research Ltd 商品編碼 948456
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
價格
數字忠誠計劃 Digital Loyalty Programmes: Market Trends, Credit Cards & Retailer Readiness 2020-2025
出版日期: 2020年07月06日內容資訊: 英文
簡介

Juniper Research的高度精細的IFxl(交互式Excel)數據庫使客戶可以使用Juniper Research的預測數據和圖表並使用交互式場景工具測試自己的假設。與自定義圖表和表格並排比較選定的市場。 IFxls極大地增強了客戶瞭解特定市場並將其自身的觀點整合到模型中的能力。

本報告涉及數字忠誠度計劃,這是每個行業中忠誠度的基本驅動力,如何改善,創建和執行忠誠度計劃的數字化,以及它們如何改善每個市場零售商的用戶體驗。我們正在對我們的發展進行詳細的分析。我們還將調查每個行業的數字忠誠度計劃的關鍵示例,並為計劃的採用和發展建立最佳實踐。

主要調查內容

  • 移動優惠券(短信,電子郵件,網絡,應用)
  • 台式機/筆記本電腦優惠券
  • Chatbot優惠券
  • 數字積分計劃
  • 信用卡獎勵(個人/公司)

調查套件包括:

  • 策略/競爭詳情(PDF)
  • 5年的詳細數據和預測(PDF/IFXL)
  • 行政摘要和主要調查結果(PDF)

數據交互式預測

Juniper Research的 "數字忠誠計劃" 預測套件包括:

  • 八個主要區域的區域劃分和以下11個國家/地區的數據劃分
    • 加拿大
    • 中國
    • 丹麥
    • 德國
    • 日本
    • 挪威
    • 葡萄牙
    • 西班牙
    • 瑞典
    • 英國
    • 美國
  • 移動和電子優惠券預測類別
    • 短信
    • 電子郵件
    • 網絡
    • 應用
    • 台式機/筆記本電腦優惠券
    • Chatbot優惠券
  • 數字會員計劃會員預測
  • 預測信用卡交易次數和金額(如下所示)
    • 個人信用卡
    • 企業信用卡
  • 一個交互式場景工具,允許用戶使用來自多個不同Juniper Research指標的數據
  • 訪問超過118個表和14,000個數據點的完整預測數據集。
目錄

Overview

Juniper Research's new ‘Digital Loyalty Programmes’ report offers players in the loyalty space a comprehensive independent assessment of the current state of the loyalty programme market, including key loyalty verticals and credit card rewards, as well as outlining our future outlook for this rapidly evolving market.

The research provides detailed analysis of the fundamental drivers of loyalty within different industry verticals, how the digitisation of loyalty programmes is improving, how they are created and run, and how this is evolving the user experience for retailers in diverse markets. The report also examines key examples of digital loyalty programmes within different industry verticals to establish best practice for programme deployment and evolution.

The research covers:

  • Mobile Coupons (SMS, Email, Web, Apps)
  • Desktop/Laptop Coupons
  • Chatbot Coupons
  • Digital Loyalty Programmes
  • Credit Card Rewards (Personal/Corporate)

The research suite includes:

  • Deep Dive Strategy & Competition (PDF)
  • 5-Year Deep Dive Data & Forecasting (PDF/IFXL)
  • Executive Summary & Core Findings (PDF)

Key Features

  • Market Analysis: Provides a detailed evaluation of the digital loyalty ecosystem; analysing the current market status across key global regions and industry verticals:
    • Mobile Coupons (SMS, Email, Web, Apps)
    • Desktop/Laptop Coupons
    • Chatbot Coupons
    • Digital Loyalty Programmes
    • Credit Card Rewards (Personal/Corporate)
  • Interviews: With leading digital loyalty platform and solution providers across the value chain. Interviewed:
    • CodeBroker
    • Eagle Eye
    • Valassis
  • Benchmark Industry Forecasts: Mobile and eCoupon redemption volumes and values, as well as credit card reward/incentive transaction volumes and values plus forecasts for digital loyalty programme membership.
  • Juniper Research Leaderboard: Analyses 15 key digital loyalty platform and solution providers to evaluate their respective positioning.
  • Retailer Readiness Index - Index positioning for the top 25 retailers globally by revenue. This is a crucial resource for established and new loyalty programme providers alike.

Key Questions

  • 1. What are the key drivers of loyalty programme digitisation?
  • 2. How can stakeholders drive participation in loyalty programmes?
  • 3. What are the growth prospects for loyalty programme membership over the next 5 years?
  • 4. What are the revenue opportunities in the mobile coupons market?
  • 5. Which markets are leading value growth in credit card rewards/incentives?

Companies Referenced

  • Interviewed: CodeBroker, Eagle Eye, Valassis.
  • Profiled: Aimia, Annex Cloud, AppCard, Bink, BrandLoyalty, Brandmovers, CodeBroker, Comarch, Eagle Eye, Kobie, m-wise, Quotient, smile.io, Valassis, Yotpo.
  • Case Studied: Fidel, Fortress.
  • Included in Juniper Research Retailer Positioning Index: Aeon, Ahold Delhaize, Aldi, Alibaba, Amazon, Auchan, Carrefour, Costco, Groupe Casino, H&M, The Home Depot, IKEA, Inditex, Intermarché, JD.com, Lowe's, McDonald's, Metro AG, Rewe Group, Schwarz Group, Seven & I, SPAR International, Tesco, Walgreens Boots Alliance, Walmart.
  • Mentioned: 7-Eleven, AA, ACCC (Australian Competition and Consumer Commission), Accor, Adavium Medical, Aditi, Adobe, Advance Auto Parts, Ahalogy, Air Canada, Air Portugal, AkzoNobel, Albert Heijn, Aldi, AliExpress, Alitalia, Alleigance, Alliance Data Systems, American Airlines, American Express, ANA, ANA (Association of National Advertisers), Ancestry, Antavo, AOL, Apple, Argos, Armstrong McCall, Asda, ASG, AT&T, Auckland Airport, avios, AwardWallet, Away Travel, Bain & Company, Banco do Brasil, Banco Itaú, Bank of America, Bank of Baroda, Bank of India, Bank of New Zealand, Barclaycard, Barclays Bank, Bed, Bath & Beyond, BGL BNP Paribas, BigCommerce, BigHairyDog, Bilendi, BILLA, BIPA, bitFlyer, BJ's, Bond Brand Loyalty, Bonmarché Holdings, Booking.com, BP, Bradesco, British Airways, Brixy, Calvin Klein, Canadian Retail Solutions, Canara Bank, Capital One, Cardlytics, Casino, Certco, Chase Bank, Cheap Monday, China Mobile, China UnionPay, Cisco, Citibank, Clang, Clearly, Coca-Cola, Coles, Comex, Complete Data Systems, ConAgra, ConnectUpz, Consumer Intelligence Research Partners, COS, Costa Coffee, Crisp Mobile, Debenhams, Deloitte, Demand Film, Digicash Payments, Diners Club International, Discover Financial Services, Dollar General, Dotdigital, Dotz, Douka Bé, Duane Reade, Dunkin', Ebates.com, eBay, ejje, Elevaate, Embassy Suites, EMM (Eredivisie Media & Marketing), Emma, EMVCo, ensighten, Enterprise Rent-A-Car, Epsilon, Esurance, ETSI, European Central Bank, Eurostar, Everybody's Bitcoin, EVO Payments, Evy's Tree, ExxonMobil, Facebook, Feeding America, fidme, FIFA, Food Lion, Foodstuffs, franprix, Fresh & Easy, Géant Casino, Gemalto, GET1FREE, Goldman Sachs, Google, Gooseberries, GoPlae, Greggs, Groupon, Grupo Aeroméxico, Halliburton, Hallmark, Hampton, Hannaford, Harland Clarke Holdings, Hawaiin Airlines, HDFC Bank, Heathrow Airport, Heineken, Hello Kitty, Hilton Hotels & Resorts, HSBC, HTC, HubSpot, Hudson's Bay, Hunkemöller, IAG New Zealand, IBM, ICBC, IceMobile, ICICI Bank, Infor, Infosys, Inkbox, Inspire Loyalty, Instagram, International Testing Services, intu, ITRetail, JADS (Jheronimus Academy of Data Science), JCB, JD Sports, JD.com, JetBlue, Jimmy Joy, Just Eat, JustGiving.com, Karns, Kaufland Handelshof, Kaufmarkt, KFC, Kipling, Klarna, Klaviyo, Kognitiv Corporation, Kroger, L'Oréal, La Place, LATAM Airlines, Lenovo, Lidl, Lightspeed, Listrak, Livelo Brasil, LMG (Loyalty Management Group), Loblaws, Loyalize, Loyalty New Zealand, Loyalty One, Loyalty Partner, LoyaltyLionm LSBU (London South Bank University), MacAndrews & Forbes, MacKenzie-Childs, Macy's, Magento, Mallett Group, Mandarin Oriental, Marine Depot, Marriott Hotels, Mastercard, MDI, MEF, Melissa & Doug, MERKUR, MGM Resorts International, Microsoft, Mnogo.ru, Monetate, Monki, Monoprix, MVMT Watches, MyGravity, Myntra, Myspace, Nahkauf, NAM (News America Marketing), NBC Universal, Nectar, Neogov, Nestlé, Netpoints, Netto, New Balance, Next Web, NFL, Nielsen, Nike, NPCI (National Payments Corporation of India), Okendo, Olympus, OneStep, Onmyoji, Optimizely, Oracle, Oracle Hospitality, Other Stories, Oysho, P&G, Pão de Açúcar, Payback, PayPass, Paytm, PENNY, People's Bank of China, PetSmart, Pinterest, Pixi, Pizza Express, Plexure, Polaroid, Popbar, Primera, ProLogic Retail Services, Publix, Pull&Bear, Punjab National Bank, QlikView, QuickPivot, Rakuten, RCBC Bank, ReadyTouch, Realtor.com, ReCharge, Redpoint Global, RetailMeNot, RetailPro, Rise.ai, ROFDA, Run Gum, Runway Fashion Exchange, RuPay, S&H (Sperry & Hutchinson), Saga, Sainsbury's, Salesforce, Samsung, Santander, SAP, Secor, Security Service Power, SessionM, Shell, Shoelace, Shop'n Save, Shopify, ShopKeep, Shopmium, Shopnz.com, Shopper's Stop, ShopRite, Shur Save, Signal, Singapore Airlines, SleekShop, Smart Button, Smile.io, SMS Bump, Southwest Airlines, SpringboardRetail, Stamped, Standard Charter Bank, Starbucks, StarHub, State Bank of India, SteelSeries, Stocard, Strava, Subway, Sun Capital Partners, Suning.com, Super Indo, Swell, TAM SA, Taobao, Taopiaopiao, Target, TCC Global, Tealium, Telstra, Telus, Texas International Airlines, The Soup Peddler, Tmall, TMForum, T-Mobile, Tommy Hilfiger, Topps, Topsport Community, Tpoint Japan, Tradedoubler, Tranxactor, TripIt Pro, Turkcell, Twid, Twitter, Uber, Ubimo, UEFA, Unata, Unilever, Union Bank of India, United Airlines, UNTUCKit, US Bank National Association, Uterqüe, ValueClick, Vericast, VietinBank, Visa, Vivobarefoot, Vodafone, Volusion, Voucher Codes, Waitrose, Waldorf Astoria, Webtrends, WeChat, Weekday, Whole Foods Market, Wirecard, Wix, WooCommerce, World Economic Forum, Xiami, Yandex, Youku, Yoyo, Z Energy, Zara, Zendesk, Zinrelo, Zunny.

Data & Interactive Forecast

Juniper Research's ‘Digital Loyalty Programme’ forecast suite includes:

  • Regional splits for 8 key regions, as well as 11 country-level data splits for:
    • Canada
    • China
    • Denmark
    • Germany
    • Japan
    • Norway
    • Portugal
    • Spain
    • Sweden
    • UK
    • US
  • Forecasts for mobile and eCoupons split by
    • SMS
    • Email
    • Web
    • Apps
    • Desktop/Laptop Coupons
    • Chatbot Coupons
  • Forecasts for digital loyalty programme memberships.
  • Forecasts for credit card transaction volumes and values, split by:
    • Personal Credit Cards
    • Corporate Credit Cards
  • Interactive Scenario Tool allowing users to manipulate Juniper Research's data for several different metrics.
  • Access to the full set of forecast data of more than 118 tables and over 14,000 datapoints.

Juniper Research's highly granular IFxl (interactive Excel) database enables clients to manipulate Juniper Research's forecast data and charts to test their own assumptions using the Interactive Scenario Tool; and compare select markets side by side in customised charts and tables. IFxls greatly increase clients' ability to both understand a particular market and to integrate their own views into the model.