MAC Attribution Modeling 2

Question 1

In a Position-Based (U-Shaped) attribution model, which touchpoints typically receive the most credit?

Accepted Answer

The first and last touchpoints (commonly 40% each), with the remainder split among middle touches

Answer

Position-Based (U-Shaped) attribution assigns 40% credit each to the first and last touchpoints and distributes the remaining 20% among middle interactions.

Question 2

What challenge does 'identity resolution' address in cross-channel attribution?

Accepted Answer

Linking user interactions across multiple devices and channels to a single customer profile

Answer

Identity resolution connects fragmented customer data from different devices and channels to create a unified customer profile for accurate attribution.

Question 3

What does 'view-through attribution' measure in digital advertising?

Accepted Answer

Conversions that occur after a user sees (but does not click) an ad and later converts

Answer

View-through attribution credits conversions to ad impressions that were seen but not clicked, capturing the indirect influence of display advertising.

Question 4

What is an 'attribution window' in the context of marketing attribution?

Accepted Answer

The defined time period after an ad interaction during which a conversion is credited to that ad

Answer

An attribution window is the set time frame (e.g., 7 days, 30 days) during which a conversion can be attributed to a specific ad interaction.

Question 5

Which of the following best describes the concept of 'algorithmic attribution'?

Accepted Answer

A model that uses statistical analysis and machine learning to dynamically assign credit based on observed data

Answer

Algorithmic (data-driven) attribution uses machine learning and statistical methods to assess the true incremental contribution of each touchpoint.

(MAC) Marketing Analytics Certification Practice Test

(MAC) Marketing Analytics Certification Practice Test

MAC Attribution Modeling 2