Airbridge
PricingCustomers
Log InGet Started Free
A

Airbridge AI

Ask anything about Airbridge

Responses are AI-generated and may not always be accurate.
Conversations may be recorded to improve answer quality.

Airbridge

Stop paying for ads that don't perform. Track ad performance to know exactly what's driving your ROI.

Plans

  • Compare All Plans
  • DeepLink
  • Core
  • Growth
  • Pricing

Features

  • Airbridge AI
  • Marketing Analytics
  • Fraud Protection
  • Web & App Attribution
  • ROAS Measurement
  • iOS & SKAN
  • Deep Linking
  • Data Export
  • Audience Manager

Resources

  • Blog
  • Case Studies
  • Glossary
  • Library
  • Academy
  • User Guide
  • Developer Guide

Company

  • About Us
  • Terms of Service
  • Electronic Payment Terms
  • Privacy Policy
  • Information Security
  • GDPR
  • Data Processing Addendum
  • System Status

© 2026 AB180 Inc. All rights reserved.

AB180 Inc. | Business Registration: 550-88-00196

Back to Glossary
M

Multi-touch attribution (MTA)

Definition

Multi-touch attribution (MTA) is an attribution model that calculates and distributes the conversion value to multiple touchpoints.

A
Airbridge
May 20, 2024·3 min read

Table of Contents

  • What is multi-touch attribution?
  • Why is multi-touch attribution important?
    • Reflects real-life mobile journey
    • Optimizes budgeting
    • Empowers marketers with granular data

What is multi-touch attribution?

Multi-touch attribution (MTA) determines the value of every touchpoint contributed to the conversion rather than giving all the credit to a single source.

Let us demonstrate further with an example. Kris interacted with three different ads from three different channels before making a purchase. First, Kris saw a display ad on channel A and thought the product was interesting but did not click on the ad. Then she saw another display ad on channel B. This time she felt more intrigued and clicked the ad but left the product details page without buying anything. Finally, a few hours later, Kris developed an urge to buy the product she saw in the ads and searched for the product in channel C. Then she clicked on the search ad that appeared on top of channel C's search results page and finally purchased the product.

Kris interacted with three channels before buying the product, but what drove Kris to make the final purchase? To figure this out, marketers will need to understand which touchpoints played their role along Kris’s mobile journey. This is where multi-touch attribution comes in.

The multi-touch attribution model calculates and distributes the conversion value to multiple touchpoints. In the example above, using multi-touch attribution, an MMP will calculate the contribution of each touchpoint and distribute the conversion value to all three channels (channels A, B, C).

Why is multi-touch attribution important?

Reflects real-life mobile journey

The user's mobile journey is complex. A user does not just make a decision to install an app by viewing a single ad. For a user to land on a conversion, they usually go through a long journey consisting of multiple ads throughout multiple channels. In fact, an internal study from Airbridge shows that more than 30% of conversions are made after three or more touchpoints. Therefore using multi-touch attribution can better reflect how real-life users think and act.

Optimizes budgeting

Finding out how much value each channel added can enable marketers to better distribute the marketing budget that can optimize marketing performance. We now all know that users in real life engage with multiple touchpoints. Therefore, considering that only one touchpoint contributed to creating a conversion may exaggerate the performance of certain channels while underestimating the rest. Multi-touch attribution can find out how much contribution each channel made and give marketers a bias-free view, helping them to make better decisions in budget allocation.

Empowers marketers with granular data

The world of mobile marketing is getting more competitive as new channels emerge and users are becoming more reluctant to perceive marketing messages. Therefore marketers would need a deeper level of data to optimize their marketing funnel. The multi-touch attribution model can provide marketers with accurate and granular channel data on where marketing works best and empower marketers to optimize their marketing strategy.

Put these concepts into practice

See how Airbridge helps teams implement mobile attribution strategies at scale.

Related Glossary Terms

Expand your understanding with related concepts.

Get Started Free
View Case Studies

A/B Testing

A/B Testing, a cornerstone of performance marketing, is a methodical approach that compares two versions of a webpage or app to determine which one performs better.

Active User

An Active user refers to an individual who interacts with a digital product, such as a website, app, or online platform, within a specific timeframe.

Ad exchange

An ad exchange is a facilitator of buying and selling advertising inventory.

Ad inventory

Ad inventory is the available spaces for ads on a particular platform or medium.

Ad mediation

Ad mediation is a technology that allows multiple ad networks to be managed through a single SDK. Ad mediation platforms streamline the ad delivery process and maximize revenue, CPM, and fill rates for publishers.

Ad monetization

Ad monetization generates revenue from advertising on a website or mobile app.