AdParlor Academy Paid Digital Glossary

Plain language explainers to help you keep up with the evolving digital landscape.

MTA (Multi-touch Attribution)

What is Multi-touch Attribution?

Multi-touch Attribution (MTA) is a marketing measurement approach that assesses the various touchpoints a consumer interacts with throughout their purchasing journey. It aims to determine the contribution of each touchpoint to the final conversion, providing a comprehensive view of the customer journey and the effectiveness of different marketing channels (as opposed to First-touch or Last-touch Attribution).

How to measure MTA?

MTA uses various models to assign credit to different touchpoints:

  1. Linear Attribution: Equal credit to all touchpoints
  2. Time Decay: More credit to recent touchpoints
  3. U-Shaped: More credit to first and last touchpoints
  4. W-Shaped: Credit to first, middle, and last touchpoints
  5. Data-Driven Attribution: Uses machine learning to assign credit based on actual impact

Key Benefits of MTA

  • Comprehensive Insight: Provides a holistic view of the customer journey, capturing all interactions leading to conversion.
  • Better Budget Allocation: Enables marketers to allocate resources more effectively by identifying high-performing channels and touchpoints.
  • Enhanced ROI Measurement: Improves understanding of which marketing efforts yield the best return on investment, allowing for data-driven decision-making.
  • Customer-Centric Approach: Focuses on customer interactions, leading to improved customer experience and engagement strategies.
  • Adaptability: Allows marketers to adjust strategies based on real-time data and insights, optimizing campaigns for better performance

Why is MTA important to marketers?

MTA helps marketers understand the full customer journey, optimize marketing spend across channels, and improve ROI by identifying the most effective touchpoints in driving conversions.

Who needs to know what MTA is:

  • Digital marketers
  • Marketing analysts
  • Media planners
  • Conversion rate optimizers
  • Marketing managers
  • E-commerce managers
  • Customer journey specialists
  • Marketing technology professionals
  • Data scientists in marketing
  • CMOs and marketing directors

Use Case Example

A customer might see a social media ad, click on a display ad, and receive an email before making a purchase. MTA analyzes these interactions to assign value to each touchpoint, helping marketers understand which channels and interactions drive conversions.

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