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PUBLISHER: Persistence Market Research | PRODUCT CODE: 1470675

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PUBLISHER: Persistence Market Research | PRODUCT CODE: 1470675

Multi-Touching Attribution Software Market by Product Type, End-Users, and Geography (North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa): Global Industry Analysis, Size, Share, Growth, Trends, and Forecast, 2024-2031

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Persistence Market Research presents an in-depth analysis of the global Multi-Touch Marketing Attribution Software Market, offering insights into market dynamics, growth drivers, challenges, and emerging trends. This report serves as a comprehensive guide for stakeholders, providing detailed data and statistics for strategic decision-making and market navigation from 2024 to 2031.

The global multi-touch marketing attribution software market is poised for significant growth, with a projected CAGR of 13.1% during the forecast period from 2024 to 2031. The market is anticipated to expand from an estimated value of USD 1.8 billion in 2024 to USD 4.2 billion by the end of 2031.

Key Insights:

  • Estimated Market Value (2024): USD 1.8 Billion
  • Projected Market Value (2031): USD 4.2 Billion
  • Global Market Growth Rate (CAGR 2024 to 2031): 13.1%

Multi-Touch Marketing Attribution Software Market - Report Scope:

The rise of digital marketing channels and the increasing complexity of consumer journeys have necessitated advanced attribution models. Multi-touch marketing attribution software enables marketers to analyze and attribute value to various touchpoints along the customer journey accurately. With features such as cross-channel tracking, machine learning algorithms, and real-time analytics, this software provides valuable insights into campaign effectiveness and ROI optimization.

Market Growth Drivers:

The growth of the multi-touch marketing attribution software market is driven by several factors, including the proliferation of digital channels, the shift towards data-driven marketing, and the need for granular insights into customer behavior. Marketers are increasingly investing in attribution solutions to allocate marketing budgets effectively, optimize customer engagement strategies, and improve overall marketing performance. Additionally, regulatory changes such as the implementation of privacy laws and restrictions on third-party cookies have underscored the importance of first-party data and attribution modeling, further driving market demand.

Market Restraints:

Despite its growth prospects, the multi-touch marketing attribution software market faces challenges related to data integration, privacy concerns, and organizational silos. Integrating data from disparate sources and platforms remains a complex and time-consuming process for many organizations, hindering the adoption of attribution solutions. Moreover, privacy regulations such as GDPR and CCPA impose restrictions on data collection and usage, posing compliance challenges for marketers. Additionally, organizational silos and fragmented data ownership within companies impede cross-functional collaboration and hinder the holistic implementation of attribution strategies.

Market Opportunities:

The multi-touch marketing attribution software market presents significant opportunities for innovation and differentiation. Vendors can capitalize on the growing demand for advanced analytics capabilities, including predictive modeling, AI-driven insights, and real-time attribution. Furthermore, there is a need for solutions that offer seamless integration with existing marketing technology stacks, enabling marketers to leverage attribution data across multiple platforms and channels. Additionally, as the importance of omnichannel marketing continues to rise, there is a growing demand for attribution solutions that can track and attribute value across online and offline touchpoints, providing a comprehensive view of the customer journey.

Key Questions Addressed in the Report:

  • What is the Expected Value CAGR of the Multi-Touch Marketing Attribution Software Market?
  • What are the Key Factors Driving the Growth of the Multi-Touch Marketing Attribution Software Market?
  • Which Region Holds the Largest Market Share in the Multi-Touch Marketing Attribution Software Market?
  • Who are the Key Players in the Global Multi-Touch Marketing Attribution Software Market?
  • What Strategies are Adopted by Leading Companies to Sustain Growth in the Multi-Touch Marketing Attribution Software Market?

Competitive Landscape and Business Strategies:

Leading players in the multi-touch marketing attribution software market include Google LLC, Adobe Inc., and Salesforce.com, Inc. These companies focus on product innovation, strategic partnerships, and customer-centric approaches to maintain their competitive edge. Strategies such as offering comprehensive attribution suites, enhancing data visualization capabilities, and expanding into emerging markets are commonly employed to drive growth. Additionally, investment in customer support, training programs, and professional services is critical for building customer loyalty and ensuring successful implementations.

Key Companies Profiled:

  • Google LLC
  • Adobe Inc.
  • Salesforce.com, Inc.
  • Oracle Corporation
  • SAP SE
  • IBM Corporation
  • Visual IQ, a Nielsen Company
  • Neustar, Inc.
  • LeadsRx, Inc.
  • Wizaly
  • Singular, Ltd.

Multi-Touch Marketing Attribution Software Market Segmentation:

By Deployment:

  • Cloud-based
  • On-premises

By Organization Size:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By End User:

  • Retail and E-commerce
  • BFSI (Banking, Financial Services, and Insurance)
  • Healthcare
  • Media and Entertainment
  • Travel and Hospitality
  • Others

By Region:

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East & Africa
Product Code: PMRREP33091

Table of Contents

1. Executive Summary

  • 1.1. Global Market Outlook
  • 1.2. Summary of Statistics
  • 1.3. Key Market Characteristics & Attributes
  • 1.4. Analysis and Recommendations

2. Market Overview

  • 2.1. Market Coverage
  • 2.2. Market Definition

3. Market Risks and Trends Assessment

  • 3.1. Risk Assessment
    • 3.1.1. COVID-19 Crisis and Impact on Multi-Touch Marketing Attribution Software
    • 3.1.2. COVID-19 Impact Benchmark with Previous Crisis
    • 3.1.3. Impact on Market Value (US$ Mn)
    • 3.1.4. Assessment by Key Countries
    • 3.1.5. Assessment by Key Market Segments
    • 3.1.6. Action Points and Recommendation for Suppliers
  • 3.2. Key Trends Impacting the Market
  • 3.3. Formulation and Product Development Trends

4. Market Background

  • 4.1. Multi-Touch Marketing Attribution Software Market, by Key Countries
  • 4.2. Multi-Touch Marketing Attribution Software Market Opportunity Assessment (US$ Mn)
    • 4.2.1. Total Available Market
    • 4.2.2. Serviceable Addressable Market
    • 4.2.3. Serviceable Obtainable Market
  • 4.3. Market Scenario Forecast
    • 4.3.1. Demand in optimistic Scenario
    • 4.3.2. Demand in Likely Scenario
    • 4.3.3. Demand in Conservative Scenario
  • 4.4. Investment Feasibility Analysis
    • 4.4.1. Investment in Established Markets
      • 4.4.1.1. In Short Term
      • 4.4.1.2. In Long Term
    • 4.4.2. Investment in Emerging Markets
      • 4.4.2.1. In Short Term
      • 4.4.2.2. In Long Term
  • 4.5. Forecast Factors - Relevance & Impact
    • 4.5.1. Top Companies Historical Growth
    • 4.5.2. Growth in Automation, By Country
    • 4.5.3. Multi-Touch Marketing Attribution Software Adoption Rate, By Country
  • 4.6. Market Dynamics
    • 4.6.1. Market Driving Factors and Impact Assessment
    • 4.6.2. Prominent Market Challenges and Impact Assessment
    • 4.6.3. Multi-Touch Marketing Attribution Software Market Opportunities
    • 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment

5. Key Success Factors

  • 5.1. Manufacturers' Focus on Low Penetration High Growth Markets
  • 5.2. Banking on with Segments High Incremental Opportunity
  • 5.3. Peer Benchmarking

6. Global Multi-Touch Marketing Attribution Software Market Demand Analysis 2015-2023 and Forecast, 2024-2031

  • 6.1. Historical Market Analysis, 2015-2023
  • 6.2. Current and Future Market Projections, 2024-2031
  • 6.3. Y-o-Y Growth Trend Analysis

7. Global Multi-Touch Marketing Attribution Software Market Value Analysis 2015-2023 and Forecast, 2024-2031

  • 7.1. Historical Market Value (US$ Mn) Analysis, 2015-2023
  • 7.2. Current and Future Market Value (US$ Mn) Projections, 2024-2031
    • 7.2.1. Y-o-Y Growth Trend Analysis
    • 7.2.2. Absolute $ Opportunity Analysis

8. Global Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031, By Component

  • 8.1. Introduction / Key Findings
  • 8.2. Historical Market Size (US$ Mn) Analysis By Component , 2015-2023
  • 8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Component , 2024-2031
    • 8.3.1. Solution
    • 8.3.2. Services
      • 8.3.2.1. Integration and Implementation Services
      • 8.3.2.2. Advisory Services
      • 8.3.2.3. Support and Maintenance Services
  • 8.4. Market Attractiveness Analysis By Component

9. Global Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031, By Vertical

  • 9.1. Introduction / Key Findings
  • 9.2. Historical Market Size (US$ Mn) Analysis By Vertical, 2015-2023
  • 9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Vertical, 2024-2031
    • 9.3.1. Retail
    • 9.3.2. FMCG and Consumer Packaged Goods
    • 9.3.3. Computing Products and Consumer Electronics
    • 9.3.4. Telecom and IT
    • 9.3.5. BFSI
    • 9.3.6. Media and Entertainment
    • 9.3.7. Healthcare
    • 9.3.8. Travel and Hospitality
    • 9.3.9. Others (Education and Government)
  • 9.4. Market Attractiveness Analysis By Vertical

10. Global Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031, By Deployment Type

  • 10.1. Introduction / Key Findings
  • 10.2. Historical Market Size (US$ Mn) Analysis By Deployment Type , 2015-2023
  • 10.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Deployment Type , 2024-2031
    • 10.3.1. Cloud
    • 10.3.2. On-premises
  • 10.4. Market Attractiveness Analysis By Deployment Type

11. Global Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031, By Organization Size

  • 11.1. Introduction / Key Findings
  • 11.2. Historical Market Size (US$ Mn) Analysis By Organization Size , 2015-2023
  • 11.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Organization Size , 2024-2031
    • 11.3.1. SMEs
    • 11.3.2. Large Enterprises
  • 11.4. Market Attractiveness Analysis By Organization Size

12. Global Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031, By Region

  • 12.1. Introduction
  • 12.2. Historical Market Size (US$ Mn) Analysis By Region, 2015-2023
  • 12.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2024-2031
    • 12.3.1. North America
    • 12.3.2. Latin America
    • 12.3.3. Europe
    • 12.3.4. Asia Pacific
    • 12.3.5. Middle East and Africa (MEA)
  • 12.4. Market Attractiveness Analysis By Region

13. North America Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031

  • 13.1. Introduction
  • 13.2. Pricing Analysis
  • 13.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2023
  • 13.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
    • 13.4.1. By Country
      • 13.4.1.1. U.S.
      • 13.4.1.2. Canada
      • 13.4.1.3. Rest of North America
    • 13.4.2. By Component
    • 13.4.3. By Vertical
    • 13.4.4. By Organization Size
    • 13.4.5. By Deployment Type
  • 13.5. Market Attractiveness Analysis
    • 13.5.1. By Country
    • 13.5.2. By Component
    • 13.5.3. By Vertical
    • 13.5.4. By Organization Size
    • 13.5.5. By Deployment Type

14. Latin America Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031

  • 14.1. Introduction
  • 14.2. Pricing Analysis
  • 14.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2023
  • 14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
    • 14.4.1. By Country
      • 14.4.1.1. Brazil
      • 14.4.1.2. Mexico
      • 14.4.1.3. Rest of Latin America
    • 14.4.2. By Component
    • 14.4.3. By Vertical
    • 14.4.4. By Organization Size
    • 14.4.5. By Deployment Type
  • 14.5. Market Attractiveness Analysis
    • 14.5.1. By Country
    • 14.5.2. By Component
    • 14.5.3. By Vertical
    • 14.5.4. By Organization Size
    • 14.5.5. By Deployment Type

15. Europe Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031

  • 15.1. Introduction
  • 15.2. Pricing Analysis
  • 15.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2023
  • 15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
    • 15.4.1. By Country
      • 15.4.1.1. Germany
      • 15.4.1.2. France
      • 15.4.1.3. U.K.
      • 15.4.1.4. Italy
      • 15.4.1.5. Benelux
      • 15.4.1.6. Nordic Countries
      • 15.4.1.7. Rest of Europe
    • 15.4.2. By Component
    • 15.4.3. By Vertical
    • 15.4.4. By Organization Size
    • 15.4.5. By Deployment Type
  • 15.5. Market Attractiveness Analysis
    • 15.5.1. By Country
    • 15.5.2. By Component
    • 15.5.3. By Vertical
    • 15.5.4. By Organization Size
    • 15.5.5. By Deployment Type

16. Asia Pacific Multi-Touch Marketing Attribution Software Market Analysis 2015-2023 and Forecast 2024-2031

  • 16.1. Introduction
  • 16.2. Pricing Analysis
  • 16.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2019-2023
  • 16.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
    • 16.4.1. By Country
      • 16.4.1.1. China
      • 16.4.1.2. Japan
      • 16.4.1.3. South Korea
      • 16.4.1.4. Rest of Asia Pacific
    • 16.4.2. By Component
    • 16.4.3. By Vertical
    • 16.4.4. By Organization Size
    • 16.4.5. By Deployment Type
  • 16.5. Market Attractiveness Analysis
    • 16.5.1. By Country
    • 16.5.2. By Component
    • 16.5.3. By Vertical
    • 16.5.4. By Organization Size
    • 16.5.5. By Deployment Type

17. Middle East and Africa Multi-Touch Marketing Attribution Software Market Analysis 2019-2023 and Forecast 2024-2031

  • 17.1. Introduction
  • 17.2. Pricing Analysis
  • 17.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2019-2023
  • 17.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2024-2031
    • 17.4.1. By Country
      • 17.4.1.1. GCC Countries
      • 17.4.1.2. South Africa
      • 17.4.1.3. Turkey
      • 17.4.1.4. Rest of Middle East and Africa
    • 17.4.2. By Component
    • 17.4.3. By Vertical
    • 17.4.4. By Organization Size
    • 17.4.5. By Deployment Type
  • 17.5. Market Attractiveness Analysis
    • 17.5.1. By Country
    • 17.5.2. By Component
    • 17.5.3. By Vertical
    • 17.5.4. By Organization Size
    • 17.5.5. By Deployment Type

18. Key Countries Multi-Touch Marketing Attribution Software Market Analysis 2019-2023 and Forecast 2024-2031

  • 18.1. Introduction
    • 18.1.1. Market Value Proportion Analysis, By Key Countries
    • 18.1.2. Global Vs. Country Growth Comparison
  • 18.2. US Multi-Touch Marketing Attribution Software Market Analysis
    • 18.2.1. Value Proportion Analysis by Market Taxonomy
    • 18.2.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.2.2.1. By Component
      • 18.2.2.2. By Vertical
      • 18.2.2.3. By Organization Size
      • 18.2.2.4. By Deployment Type
  • 18.3. Canada Multi-Touch Marketing Attribution Software Market Analysis
    • 18.3.1. Value Proportion Analysis by Market Taxonomy
    • 18.3.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.3.2.1. By Component
      • 18.3.2.2. By Vertical
      • 18.3.2.3. By Organization Size
      • 18.3.2.4. By Deployment Type
  • 18.4. Mexico Multi-Touch Marketing Attribution Software Market Analysis
    • 18.4.1. Value Proportion Analysis by Market Taxonomy
    • 18.4.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.4.2.1. By Component
      • 18.4.2.2. By Vertical
      • 18.4.2.3. By Organization Size
      • 18.4.2.4. By Deployment Type
  • 18.5. Brazil Multi-Touch Marketing Attribution Software Market Analysis
    • 18.5.1. Value Proportion Analysis by Market Taxonomy
    • 18.5.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.5.2.1. By Component
      • 18.5.2.2. By Vertical
      • 18.5.2.3. By Organization Size
      • 18.5.2.4. By Deployment Type
  • 18.6. Germany Multi-Touch Marketing Attribution Software Market Analysis
    • 18.6.1. Value Proportion Analysis by Market Taxonomy
    • 18.6.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.6.2.1. By Component
      • 18.6.2.2. By Vertical
      • 18.6.2.3. By Organization Size
      • 18.6.2.4. By Deployment Type
  • 18.7. France Multi-Touch Marketing Attribution Software Market Analysis
    • 18.7.1. Value Proportion Analysis by Market Taxonomy
    • 18.7.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.7.2.1. By Component
      • 18.7.2.2. By Vertical
      • 18.7.2.3. By Organization Size
      • 18.7.2.4. By Deployment Type
  • 18.8. Italy Multi-Touch Marketing Attribution Software Market Analysis
    • 18.8.1. Value Proportion Analysis by Market Taxonomy
    • 18.8.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.8.2.1. By Component
      • 18.8.2.2. By Vertical
      • 18.8.2.3. By Organization Size
      • 18.8.2.4. By Deployment Type
  • 18.9. BENELUX Multi-Touch Marketing Attribution Software Market Analysis
    • 18.9.1. Value Proportion Analysis by Market Taxonomy
    • 18.9.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.9.2.1. By Component
      • 18.9.2.2. By Vertical
      • 18.9.2.3. By Organization Size
      • 18.9.2.4. By Deployment Type
  • 18.10. UK Multi-Touch Marketing Attribution Software Market Analysis
    • 18.10.1. Value Proportion Analysis by Market Taxonomy
    • 18.10.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032
      • 18.10.2.1. By Component
      • 18.10.2.2. By Vertical
      • 18.10.2.3. By Organization Size
      • 18.10.2.4. By Deployment Type
  • 18.11. Nordic Countries Multi-Touch Marketing Attribution Software Market Analysis
    • 18.11.1. Value Proportion Analysis by Market Taxonomy
    • 18.11.2. Value Analysis and Forecast by Market Taxonomy, 2024-2031
      • 18.11.2.1. By Component
      • 18.11.2.2. By Vertical
      • 18.11.2.3. By Organization Size
      • 18.11.2.4. By Deployment Type
  • 18.12. China Multi-Touch Marketing Attribution Software Market Analysis
    • 18.12.1. Value Proportion Analysis by Market Taxonomy
    • 18.12.2. Value Analysis and Forecast by Market Taxonomy, 2024-2031
      • 18.12.2.1. By Component
      • 18.12.2.2. By Vertical
      • 18.12.2.3. By Organization Size
      • 18.12.2.4. By Deployment Type
  • 18.13. Japan Multi-Touch Marketing Attribution Software Market Analysis
    • 18.13.1. Value Proportion Analysis by Market Taxonomy
    • 18.13.2. Value Analysis and Forecast by Market Taxonomy, 2024-2031
      • 18.13.2.1. By Component
      • 18.13.2.2. By Vertical
      • 18.13.2.3. By Organization Size
      • 18.13.2.4. By Deployment Type
  • 18.14. South Korea Multi-Touch Marketing Attribution Software Market Analysis
    • 18.14.1. Value Proportion Analysis by Market Taxonomy
    • 18.14.2. Value Analysis and Forecast by Market Taxonomy, 2024-2031
      • 18.14.2.1. By Component
      • 18.14.2.2. By Vertical
      • 18.14.2.3. By Organization Size
      • 18.14.2.4. By Deployment Type
  • 18.15. GCC Countries Multi-Touch Marketing Attribution Software Market Analysis
    • 18.15.1. Value Proportion Analysis by Market Taxonomy
    • 18.15.2. Value Analysis and Forecast by Market Taxonomy, 2024-2031
      • 18.15.2.1. By Component
      • 18.15.2.2. By Vertical
      • 18.15.2.3. By Organization Size
      • 18.15.2.4. By Deployment Type
  • 18.16. South Africa Multi-Touch Marketing Attribution Software Market Analysis
    • 18.16.1. Value Proportion Analysis by Market Taxonomy
    • 18.16.2. Value Analysis and Forecast by Market Taxonomy, 2024-2031
      • 18.16.2.1. By Component
      • 18.16.2.2. By Vertical
      • 18.16.2.3. By Organization Size
      • 18.16.2.4. By Deployment Type
  • 18.17. Turkey Multi-Touch Marketing Attribution Software Market Analysis
    • 18.17.1. Value Proportion Analysis by Market Taxonomy
    • 18.17.2. Value Analysis and Forecast by Market Taxonomy, 2024-2031
      • 18.17.2.1. By Component
      • 18.17.2.2. By Vertical
      • 18.17.2.3. By Organization Size
      • 18.17.2.4. By Deployment Type
    • 18.17.3. Competition Landscape and Player Concentration in the Country

19. Market Structure Analysis

  • 19.1. Market Analysis by Tier of Companies
  • 19.2. Market Concentration
  • 19.3. Market Share Analysis of Top Players
  • 19.4. Market Presence Analysis
    • 19.4.1. By Regional footprint of Players
    • 19.4.2. Product footprint by Players

20. Competition Analysis

  • 20.1. Competition Dashboard
  • 20.2. Competition Benchmarking
  • 20.3. Competition Deep Dive
    • 20.3.1. Adobe
      • 20.3.1.1. Overview
      • 20.3.1.2. Product Portfolio
      • 20.3.1.3. Sales Footprint
      • 20.3.1.4. Strategy Overview
    • 20.3.2. SAP
      • 20.3.2.1. Overview
      • 20.3.2.2. Product Portfolio
      • 20.3.2.3. Sales Footprint
      • 20.3.2.4. Strategy Overview
    • 20.3.3. Oracle
      • 20.3.3.1. Overview
      • 20.3.3.2. Product Portfolio
      • 20.3.3.3. Sales Footprint
      • 20.3.3.4. Strategy Overview
    • 20.3.4. Merkle
      • 20.3.4.1. Overview
      • 20.3.4.2. Product Portfolio
      • 20.3.4.3. Sales Footprint
      • 20.3.4.4. Strategy Overview
    • 20.3.5. Visual IQ
      • 20.3.5.1. Overview
      • 20.3.5.2. Product Portfolio
      • 20.3.5.3. Sales Footprint
      • 20.3.5.4. Strategy Overview
    • 20.3.6. Leandata
      • 20.3.6.1. Overview
      • 20.3.6.2. Product Portfolio
      • 20.3.6.3. Sales Footprint
      • 20.3.6.4. Strategy Overview
    • 20.3.7. Neustar
      • 20.3.7.1. Overview
      • 20.3.7.2. Product Portfolio
      • 20.3.7.3. Sales Footprint
      • 20.3.7.4. Strategy Overview
    • 20.3.8. Roivenue
      • 20.3.8.1. Overview
      • 20.3.8.2. Product Portfolio
      • 20.3.8.3. Sales Footprint
      • 20.3.8.4. Strategy Overview
    • 20.3.9. C3 Metrics
      • 20.3.9.1. Overview
      • 20.3.9.2. Product Portfolio
      • 20.3.9.3. Sales Footprint
      • 20.3.9.4. Strategy Overview
    • 20.3.10. Appsflyer
      • 20.3.10.1. Overview
      • 20.3.10.2. Product Portfolio
      • 20.3.10.3. Sales Footprint
      • 20.3.10.4. Strategy Overview
    • 20.3.11. Leadsrx
      • 20.3.11.1. Overview
      • 20.3.11.2. Product Portfolio
      • 20.3.11.3. Sales Footprint
      • 20.3.11.4. Strategy Overview
    • 20.3.12. Equifax
      • 20.3.12.1. Overview
      • 20.3.12.2. Product Portfolio
      • 20.3.12.3. Sales Footprint
      • 20.3.12.4. Strategy Overview

21. Assumptions and Acronyms Used

22. Research Methodology

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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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