數位忠誠度計劃-新興趨勢、區域分析、市場預測:2022-2026
市場調查報告書
商品編碼
1066614

數位忠誠度計劃-新興趨勢、區域分析、市場預測:2022-2026

Digital Loyalty Programmes: Emerging Trends, Regional Analysis & Market Forecasts 2022-2026

出版日期: | 出版商: Juniper Research Ltd | 英文 | 商品交期: 最快1-2個工作天內

價格
簡介目錄

本報告深入了解各種形式的忠誠度獎勵,包括忠誠度應用程序、數位優惠券、基於積分的忠誠度計劃和信用卡獎勵計劃。我們專注於數位忠誠度市場的關鍵機遇,提供最新信息,包括數位忠誠度計劃的五年預測、關鍵供應商分析等。

本報告包括:

  • 市場趨勢/策略 (PDF)
  • 市場數據/預測 (PDF)
  • 競爭對手排行榜 (PDF)
  • 交互式預測 (Excel)
  • 使用在線數據平台(12 個月)

目錄

市場趨勢/策略

第 1 章重點/戰略建議

第 2 章數位忠誠度計劃概述

  • 簡介
    • 忠誠度計劃的歷史
    • 忠誠度計劃 - 成功的關鍵因素
    • 數位忠誠度計劃
    • 數位忠誠度市場細分

第三章區域分析

  • 市場行情-區域分析
    • 北美
    • 拉丁美洲
    • 歐洲、中歐/東歐
    • 遠東/中國
    • 印度次大陸
    • 其他亞太地區
    • 非洲/中東
  • 主要行業
    • 食品飲料
      • Tesco Clubcard
      • Nectar Card
      • Starbucks
      • Domino's
      • Chipotle Reward
      • Publics
    • 零售
      • Amazon
      • H&M
      • Pret-a-porter
      • Swarovski
      • Michael Kors
      • Alibaba
      • JD.com
      • Rakuten
      • Payback
    • 招待
      • Wyndham Rewards
      • World of Hyatt
      • Hilton Honors
    • 旅行
      • LATAM Pass
      • BA (British Airways) Executive Club
      • Virgin Atlantic's Flying Club
      • 其他
    • 娛樂
      • 娛樂的數位忠誠度市場
      • Odysee
    • 運動娛樂
      • The Paddock
      • Manchester United
    • 通信
      • 用於通信的數位忠誠度市場
      • StarHub
      • Turkcell
      • Vodafone
      • Telstra
    • 博弈

第4章數位忠誠-信用卡獎勵計劃

  • 簡介
  • 市場情況
    • American Express
    • Visa
    • Discover
    • JCB
    • Mastercard
    • RuPay
    • Union Pay
    • Apple Card
    • PointCard Titan
  • 獎勵信用卡和借記卡 - 市場細分
    • 零售
      • Amazon
      • Walmart
      • Starbucks
      • Suning.com
    • 食品
      • Kroger
      • Amazon - Whole Foods
      • Nectar
      • Sainsbury's
    • 旅館/旅行
      • Hilton
      • Southwest Airlines
  • Juniper Research的觀點

第 5 章數位忠誠度的未來

  • 數位忠誠度計劃的未來
    • 人工智能和大數據在數位忠誠度計劃中的作用
    • 從傳統忠誠到情感忠誠的轉變
    • 全渠道忠誠度計劃
    • COVID-19 的影響
    • 二維碼成為主流
    • 地區差異
    • NFT (Non-Fungible Token)

競爭對手排行榜

第 1 章 Juniper Research 的競爭排行榜

第二章公司簡介

  • 數位忠誠度計劃供應商簡介
    • Annex Cloud
    • App Card
    • Bink
    • BrandLoyalty
    • Brierley + Partners
    • CodeBroker
    • Comarch
    • Eagle Eye
    • Epsilon
    • Kobie
    • Kognitiv
    • The Lacek Group
    • m-wise
    • Quotient
    • Salesforce
    • Smile.io
    • Valassis
    • Yotpo
  • Juniper Research排行榜評估方法

數據/預測

第 1 章數位忠誠度預測

  • 簡介
  • 預測方法和前提條件

第2章移動優惠券:市場預測

  • 手機優惠券發行預測
    • 手機優惠券發行:按地區
    • 手機優惠券發行:按渠道
  • 移動優惠券使用預測
    • 移動優惠券使用情況:按地區
    • 移動優惠券使用情況:按渠道
    • 手機優惠券使用金額:分地區
    • 手機優惠券使用金額:按渠道

第 3 章忠誠度計劃會員:市場預測

  • 忠誠度計劃
    • 忠誠度計劃會員(平均)
    • 數位忠誠度計劃會員資格

第 4 章個人/公司信用卡:市場預測

  • 信用卡預測
    • 提供獎勵/獎勵的個人信用卡數量
    • 提供獎勵/獎勵的企業信用卡數量
    • 個人信用卡交易筆數
    • 企業信用卡交易次數
    • 個人信用卡的獎勵/獎勵金額
    • 企業信用卡獎勵/獎勵金額
簡介目錄

Juniper Research's “Digital Loyalty Programmes” research is an essential guide to this rapidly-changing market; giving insights across different forms of loyalty rewards, including loyalty apps, digital coupons, point-based loyalty programmes, credit card reward programmes etc. It identifies key opportunities within the digital loyalty market for stakeholders; proving an important resource for stakeholders.

The study also includes 5-year forecasts for digital loyalty programmes, including splits by mediums to access the loyalty rewards - SMS coupons, email, QR codes, apps, chatbot coupons, all mobile channels, PC coupons and eCoupons. Data is also split by 8 key regions and 25 countries. It also features Juniper Research Competitor Leaderboard; analysing 18 digital loyalty programme vendors.

The research suite includes:

  • 1. Market Trends & Strategies - Strategic assessment of market dynamics, drivers, and trends, together with detailed strategic recommendations for digital loyalty programmes vendors on how to grow in an increasingly complex market (PDF).
  • 2. Market Data & Forecasts - digital loyalty programmes market prospects analysis together with 5-year forecasts for key metrics, including digital loyalty memberships and corporate and personal credit card rewards.
  • 3. Competitor Leaderboard - Leading digital loyalty programmes vendors are assessed and scored in our Competitor Leaderboard; underpinned by interviews with players and robust scoring methodologies (PDF).
  • 4. Interactive Forecast Excel - Highly granular dataset comprising more than 27,300 datapoints; allied to an Interactive Scenario tool giving users the ability to manipulate Juniper Research's data (Interactive XL).
  • 5. harvest Online Data Platform: 12 months' access to all the data in our online data platform, including continuous data updates and exportable charts, tables, and graphs (ONLINE).

Table of Contents

Market Trends & Strategies

1. Key Takeaways and Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Overview of Digital Loyalty Programmes

  • 2.1. Introduction
    • 2.1.1. The History of Loyalty Programmes
      • i. Copper Coins
      • ii. Stamps
      • iii. Frequent Flyer Programme
      • iv. Coupons - Box Stamps
      • v. Card-based Programmes
      • vi. Punch Cards
      • vii. Coalition Loyalty Programmes
      • viii. Credit Card Loyalty Programmes
    • 2.1.2. Loyalty Programmes - Key Drivers for Success
      • i. Loyalty Programmes Build Trust
      • ii. Repeat Customers Are the Priority
      • iii. Loyalty Is the Way to New Customer Base
      • iv. Loyalty Programmes Are the Source of Customer insights
      • v. Traditional vs Digital Loyalty Programmes
    • 2.1.3. Digital Loyalty Programmes
      • Figure 2.1: Global Smartphone Installed Base (m), 2015-2021
      • Figure 2.2: Total Value of Remote Payments for Physical Goods Purchased via Smartphone ($m), 2015-2021
    • 2.1.4. Segmentation of Digital Loyalty Market
      • i. Reward Aggregators
      • ii. Card-linked Loyalty
      • iii. POS Systems with Integrated Loyalty Functionality
      • iv. Mobile Engagement (Email & Text Messages)
      • v. Apps
      • vi. Digital Wallets
      • vii. Blockchain

3. Regional Analysis

  • 3.1. Market Status - Regional Analysis
    • 3.1.1. North America
    • 3.1.2. Latin America
    • 3.1.3. Europe and Central and East Europe
    • 3.1.4. Far East & China
    • 3.1.5. Indian Subcontinent
    • 3.1.6. Rest of Asia Pacific
      • Figure 3.1: Reasons that Encourage Singaporeans to Sign Up for a Loyalty Programme
    • 3.1.7. Africa & Middle East
      • Figure 3.2: Top Loyalty Programmes in South Africa
  • 3.2. Key Market Verticals
    • 3.2.1. Grocery and Food & Beverage
      • i. Tesco Clubcard
      • ii. Nectar Card
      • iii. Starbucks
      • iv. Domino's
      • v. Chipotle Reward
      • vi. Publics
    • 3.2.2. Retail
      • i. Amazon
      • ii. H&M
      • iii. Pret-a-porter
      • iv. Swarovski
      • v. Michael Kors
      • vi. Alibaba
      • vii. JD.com
      • viii. Rakuten
      • ix. Payback
    • 3.2.3. Hospitality
      • i. Wyndham Rewards
      • ii. World of Hyatt
      • iii. Hilton Honors
    • 3.2.4. Travel
      • i. LATAM Pass
      • ii. BA (British Airways) Executive Club
      • iii. Virgin Atlantic's Flying Club
      • iv. Other Airline Loyalty Schemes
    • 3.2.5. Entertainment
      • i. Digital Loyalty in the Entertainment Market
      • ii. Odysee
    • 3.2.6. Sports & Leisure
      • i. The Paddock
      • ii. Manchester United
    • 3.2.7. Telcos
      • i. Digital Loyalty in the Telecoms Market
      • ii. StarHub
      • iii. Turkcell
      • iv. Vodafone
      • v. Telstra
    • 3.2.8. Gambling

4. Digital Loyalty - Credit Card Reward Schemes

  • 4.1. Introduction
  • 4.2. Market Status
    • i. American Express
      • Table 4.1: American Express Card Offerings
    • ii. Visa
    • iii. Discover
    • iv. JCB
    • v. Mastercard
    • vi. RuPay
    • vii. Union Pay
    • viii. Apple Card
    • ix. PointCard Titan
  • 4.3. Reward Credit and Debit Cards - Market Segmentation
    • 4.3.1. Retailers
      • i. Amazon
      • ii. Walmart
      • iii. Starbucks
      • iv. Suning.com
    • 4.3.2. Grocery
      • i. Kroger
      • ii. Amazon - Whole Foods
      • iii. Nectar
      • iv. Sainsbury's
    • 4.3.3. Hotel/Travel
      • i. Hilton
      • ii. Southwest Airlines
  • 4.4. Juniper Research's View

5. The Future of Digital Loyalty

  • 5.1. The Future of Digital Loyalty Programmes
    • 5.1.1. The Role of AI and Big Data in Digital Loyalty Programmes
    • 5.1.2. Shift from Traditional Loyalty to Emotional Loyalty
    • 5.1.3. Omnichannel Loyalty Programmes
    • 5.1.4. The Impact of COVID-19
    • 5.1.5. QR Codes Becoming Mainstream
    • 5.1.6. Regional Variations
    • 5.1.7. NFT (Non-fungible Tokens)
      • i. Clinique (Smart Rewards)
        • Figure 5.1: Clinique's Introduction of NFTs
      • ii. Louis Vuitton
      • iii. Marriott

Competitor Leaderboard

1. Juniper Research Competitor Leaderboard

  • 1.1. Why Read This Report
    • 1.1.1. Regional Variations in Digital Loyalty Programme Market
    • 1.1.2. Decline of Paper Coupons
    • 1.1.3. The Increasing Importance of Mobile Apps
      • Table 1.1: Juniper Research Leaderboard: Digital Loyalty Programmes Vendor List
      • Figure 1.2: Juniper Research Competitor Leaderboard - Digital Loyalty Programme
      • Table 1.3: Juniper Research Competitor Leaderboard: Digital Loyalty Programme Vendor Ranking
      • Table 1.4: Juniper Research Competitor Leaderboard: Digital Loyalty Programmes - Heatmap

2. Company Profiles

  • 2.1. Digital Loyalty Programmes Vendor Profiles
    • 2.1.1. Annex Cloud
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.2. App Card
      • i. Corporate
        • Table 2.1: AppCard Funding Rounds
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 2.2: AppCard 'Pinky' AI Framework
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.3. Bink
      • i. Corporate
        • Table 2.3: Bink Funding Rounds
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.4. BrandLoyalty
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.5. Brierley + Partners
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.6. CodeBroker
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.7. Comarch
      • i. Corporate
        • Table 2.4: Comarch Revenue Table (2016-2020)
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.8. Eagle Eye
      • i. Corporate
        • Table 2.5: Revenue Table (2016-2021)
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.9. Epsilon
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.10. Kobie
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.11. Kognitiv
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.12. The Lacek Group
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.13. m-wise
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 2.6: m-wise - New Loyalty Programme Framework
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.14. Quotient
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.15. Salesforce
      • i. Corporate
        • Table 2.7: Salesforce Revenue, 2016-2021
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.16. Smile.io
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
        • Figure 2.8: Smile.io Loyalty Programme Packages
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.17. Valassis
      • i. Corporate
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
    • 2.1.18. Yotpo
      • i. Corporate
        • Table 2.9: Yotpo Funding Rounds
      • ii. Geographical Spread
      • iii. Key Clients & Strategic Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Opportunities
  • 2.2. Juniper Research Leaderboard Assessment Methodology
    • 2.2.1. Limitations & Interpretation
      • Table 2.10: Juniper Research Competitor Leaderboard Scoring Criteria

Data & Forecasting

1. Digital Loyalty Forecasts

  • 1.1. Introduction
    • i. Mobile Coupons
    • ii. Loyalty Programme Membership
    • iii. Credit Card Reward Schemes
  • 1.2. Forecast Methodology & Assumptions
    • 1.2.1. Mobile Coupons
      • Figure 1.1: Mobile Coupons Forecast Methodology - SMS Coupons
      • Figure 1.2: Mobile Coupon Forecast Methodology - Email Coupons
      • Figure 1.3: Mobile Coupons Forecast Methodology - Web Coupons
      • Figure 1.4: Mobile Coupons Forecast Methodology - App Coupons
    • 1.2.2. Forecast Methodology & Assumptions - Loyalty Programme Memberships
      • Figure 1.5: Loyalty Programmes Forecast Methodology
    • 1.2.3. Forecast Methodology & Assumptions - Credit Card Reward Schemes
      • Figure 1.6: Credit Card Forecast Methodology

2. Mobile Coupons: Market Forecasts

  • 2.1. Mobile Coupon Issuing Forecasts
    • 2.1.1. Mobile Coupons Issued by Region
      • Figure & Table 2.1: Total Number of Mobile & Online Coupons Issued (m), Split by 8 Key Regions, 2021-2026
    • 2.1.2. Mobile Coupons Issued by Channel
      • Figure & Table 2.2: Total Number of Mobile & Online Coupons Issued (m), Split by Channel, 2021-2026
  • 2.2. Mobile Coupons Redemption Forecasts
    • 2.2.1. Mobile Coupons Redeemed by Region
      • Figure & Table 2.3: Total Number of Coupons Redeemed per annum (m), Split by 8 Key Regions, 2021-2026
    • 2.2.2. Mobile Coupons Redeemed by Channel
      • Figure & Table 2.4: Total Number of Coupons Redeemed per annum (m), Split by Channel, 2021-2026
    • 2.2.3. Mobile Coupon Redemption Values by Region
      • Figure & Table 2.5: Total Coupon Redemption Values ($m), Split by 8 Key Region, 2021-2026
    • 2.2.4. Mobile Coupon Redemption Values by Channel
      • Figure & Table 2.6: Total Coupon Redemption Value by Channel ($m), Split by Delivery Device, 2021-2026

3. Loyalty Programme Memberships: Market Forecasts

  • 3.1. Loyalty Programmes
    • 3.1.1. Average Loyalty Programme Memberships
      • Figure & Table 3.1: Average Number of Loyalty Programme Memberships per Person, Split by 8 Key Regions 2021-2026
    • 3.1.2. Digital Loyalty Programme Memberships
      • Figure & Table 3.2: Total Digital Loyalty Programme Memberships (m), Split by Key Regions, 2021-2026

4. Personal & Corporate Credit Cards: Market Forecasts

  • 4.1. Credit Card Forecasts
    • 4.1.1. Number of Personal Credit Cards Offering Rewards/Incentives
      • Figure & Table 4.1: Number of Personal Card Offering Rewards/Incentives (m), Split by 8 Key Regions, 2021-2026
    • 4.1.2. Number of Corporate Credit Cards Offering Rewards/Incentives
      • Figure & Table 4.2: Number of Corporate Credit Card Offering Rewards/Incentives (m), Split by 8 Key Regions 2021-2026
    • 4.1.3. Personal Credit Card Transaction Volumes
      • Figure & Table 4.3: Total Transaction Volumes for Personal Credit Cards Offering Rewards/Incentives (m), Split by 8 Key Regions, 2021-2026
    • 4.1.4. Corporate Credit Card Transaction Volumes
      • Figure & Table 4.4: Total Transaction Volumes for Corporate Credit Cards Offering Rewards/Incentives (m) Split by 8 Key Regions, 2021-2026
    • 4.1.5. Personal Credit Card Reward/Incentives Values
      • Figure & Table 4.5: Total Personal Credit Card Rewards/Incentives Values ($bn), Split by 8 Key Regions, 2021-2026
    • 4.1.6. Corporate Credit Card Rewards/Incentives Values
      • Figure & Table 4.6: Total Corporate Credit Card Reward/Incentives Values ($bn), Split by 8 Key Regions 2021-2026