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Marketing Intelligence in Marketing Cloud Next
Supported Multi-Touch Attribution Models

Supported Multi-Touch Attribution Models

Multi-Touch Attribution (MTA) offers several default models that analyze channel contribution. Select a model based on your specific business strategy.

Model Name Best For How It Works Example
First Touch Analyzing top-of-funnel brand awareness drivers Assigns 100% credit to the first interaction in the lookback window

Journey: Email → Google Ads → Conversion

Credit: Email = 100%.

Last Touch Optimizing bottom-of-funnel performance and immediate conversion drivers Assigns 100% credit to the final interaction before conversion

Journey: Email → Google Ads → Conversion

Credit: Google Ads = 100%

Linear Regression Weighting every interaction in the customer lifecycle evenly Distributes credit equally across every touchpoint in the journey

Journey: Email → Google Ads → Instagram → Conversion

Credit: Each touchpoint ≈ 33%

Time Decay Strategies that give more weight to recent interactions when attributing a sale Assigns credit based on recency. Touchpoints closer to the conversion get more weight

Journey (Time-decay 7 days): Email (3 days before) → Google Ads (1 day before) → Conversion

Credit: Google Ads receives more credit than the email, because it’s closer to the conversion

U-Shape Emphasizing both the initial discovery and the final close, while acknowledging mid-funnel nurturing Allocates 40% to the first touch and 40% to the last touch. Splitting the remaining 20% equally among middle interactions

Journey: Email → Meta Ads → LinkedIn Ads → Google Ads → Conversion

Credit: Email: 40%Meta Ads: 10%LinkedIn Ads: 10%Google Ads: 40%

W-Shape Emphasizing key milestones in the customer journey, such as first interaction, lead creation, and final conversion Allocates more credit to the first touch, the lead creation touch, and the last touch. Splits the remaining credit equally among other interactions

Journey: Email → Meta Ads → Webinar → Google Ads → Conversion

Credit: Email: 30%, Webinar: 30%, Google Ads: 30%, Meta Ads: 10%

Custom Weights Customizing attribution credit based on your organization’s business strategy Lets you assign a custom percentage weight to each selected engagement signal. The total allocation must equal 100%

Journey: Web View → Ad View → Ad Click → Conversion

Credit: Web View: 20%, Ad View: 40%, Ad Click: 40%

 
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