---
title: Attribution Models
description: A customer clicks on many touch-points on a path-to-purchase. These models only look at Specific Customized Channels and Assign the Value to those channels. It gives you a Marketing-Centric view of Last Click Attribution.
---

[Back to home](https://support.daasity.com/migrated/knowledge)

- [ Welcome to Daasity
  
  
  
  ](https://support.daasity.com/migrated/knowledge/welcome-to-daasity) 
    - [ Integration Setup | Connect Your Data Sources ](https://support.daasity.com/migrated/knowledge/welcome-to-daasity#integration-setup-connect-your-data-sources)
    - [ Integration Setup | Amazon Seller Central ](https://support.daasity.com/migrated/knowledge/welcome-to-daasity#integration-setup-amazon-seller-central)
    - [ Navigating the Daasity App ](https://support.daasity.com/migrated/knowledge/welcome-to-daasity#navigating-the-daasity-app)
- [ Daasity Platform | Business User Analytics
  
  
  
  ](https://support.daasity.com/migrated/knowledge/daasity-platform-business-user-analytics) 
    - [ Brand Supplied Data (BSD) ](https://support.daasity.com/migrated/knowledge/daasity-platform-business-user-analytics#brand-supplied-data-bsd)
    - [ Dashboards ](https://support.daasity.com/migrated/knowledge/daasity-platform-business-user-analytics#dashboards)
    - [ Reports ](https://support.daasity.com/migrated/knowledge/daasity-platform-business-user-analytics#reports)
    - [ Explores ](https://support.daasity.com/migrated/knowledge/daasity-platform-business-user-analytics#explores)
    - [ Views ](https://support.daasity.com/migrated/knowledge/daasity-platform-business-user-analytics#views)
    - [ Audiences ](https://support.daasity.com/migrated/knowledge/daasity-platform-business-user-analytics#audiences)
    - [ Customizations ](https://support.daasity.com/migrated/knowledge/daasity-platform-business-user-analytics#customizations)
- [ ELT+ | Technical User Documentation
  
  
  
  ](https://support.daasity.com/migrated/knowledge/elt-technical-user-documentation) 
    - [ Platform ](https://support.daasity.com/migrated/knowledge/elt-technical-user-documentation#platform)
    - [ Transformation ](https://support.daasity.com/migrated/knowledge/elt-technical-user-documentation#transformation)
    - [ Integrations ](https://support.daasity.com/migrated/knowledge/elt-technical-user-documentation#integrations)
- [ User Manual and Support
  
  
  
  ](https://support.daasity.com/migrated/knowledge/user-manual-and-support) 
    - [ Daasity Logic and Best Practices ](https://support.daasity.com/migrated/knowledge/user-manual-and-support#daasity-logic-and-best-practices)
    - [ Marketing Analytics ](https://support.daasity.com/migrated/knowledge/user-manual-and-support#marketing-analytics)
    - [ Customer Analytics ](https://support.daasity.com/migrated/knowledge/user-manual-and-support#customer-analytics)
    - [ Date Analytics ](https://support.daasity.com/migrated/knowledge/user-manual-and-support#date-analytics)
    - [ Inventory and Returns Analytics ](https://support.daasity.com/migrated/knowledge/user-manual-and-support#inventory-and-returns-analytics)
    - [ Submit a Support Request ](https://support.daasity.com/migrated/knowledge/user-manual-and-support#submit-a-support-request)
- [ Release Updates
  
  
  
  ](https://support.daasity.com/migrated/knowledge/release-updates) 
    - [ Release Updates ](https://support.daasity.com/migrated/knowledge/release-updates#release-updates)

# Attribution Models

## A customer clicks on many touch-points on a path-to-purchase. These models only look at Specific Customized Channels and Assign the Value to those channels. It gives you a Marketing-Centric view of Last Click Attribution.

### Read this article to [Understand Ad Click vs. Marketing Click,](https://support.daasity.com/knowledge/brand-supplied-data-attribution-settings) to Learn How to Setup your Ad Channels in your Brand Supplied Data and To Customize Your Attribution Model Rankings.

---

All of the Attribution Models utilize Google Analytics Multi-Channel Funnel data (from the GA First Click Integration) along with your Merchant-Supplied Data in your BSD Channel Mapping Sheet.

You can set your **Dynamic Attribution Method **as a Filter in the **Marketing Attribution View** - In the **Marketing Attribution Explorer**.

---

### Assisted Attribution

Assisted attribution will attribute an order to each of the channels that had a touchpoint on the path to conversion but did NOT get Last-Click credit.

This means if a customer interacts with four channels before making a $200 purchase, **the first three channels will each be attributed $200 in Assisted Attribution**. It is probably easiest to understand this in the examples section below.

**Adding up rows will be greater than total row  
If you add up the assisted metrics for different channels, you will get a number that is higher than the total**. That is because the total de-duplicates the revenue. But since an order can be attributed to multiple channels in assisted attribution, it means a single order will show up as revenue for multiple channels.

**Multi-touches do NOT get multiple credit  
**Although we distribute the full value of an order to each of the upper-funnel channels, **we do NOT assign more than 1x the order revenue to a single channel**. So even if 'Email' had 10 Non-Last-Cllick touch-points on the path to a $200 purchase, We attribute $200 (1x the order revenue) in revenue to it, not $2,000 (10x the order revenue).

### How Can Using Assisted Attribution Help Me Understand My Spend Better?

A customer may have double-digit visits, spanning multiple traffic channels, before a purchase.

**First Click/Last Click models ONLY look at the first or last touchpoint and give Zero Credit to all the touch-points in between**.

You will get a full, unbiased picture of a channel's impact when you combine **Last Click + Assisted** results.

Assisted attribution can uncover a lot of value that may be buried by Last-Click Attribution: Like in the example below (real merchant data).

![image.png](https://content.api.getguru.com/files/view/2bed0d24-7df5-407e-ad44-116f0e36d17a)

 

### **How to Understand the Different Attribution Models**

**In Example A Below:**

A Customer Clicked on** Four touch-points** before making a $200 Purchase.

Using the default Last Ad Click and Last Marketing Click Channel Settings:

 

> **The First Click Channel is "Paid Social" (Visit One)**
> 
> **The Last Ad Click Channel is "Paid Search (Visit Two)**
> 
> **The Last Marketing Click Channel is "Email" (Visit Three)**
> 
> **The Last Click Channel is "Organic Search" (Visit Four)**

 

**Without this Model in Place - **First Click attribution would give full Credit of $200 to "Paid Social" and Last Click attribution would give full Credit of $200 to "Organic Search"

**With This Model in Place -** "Paid Search" And "Email" could also claim credit for the $200 Using Last Ad Click and Last Marketing Click attribution respectively.

Additionally -** All FOUR Channels can get the full $200 Credit using the Assisted Attribution Model.**

![ExampleA](https://support.daasity.com/hs-fs/hubfs/ExampleA.png?width=688&height=440&name=ExampleA.png)

 

**In the Example B Below:**

A Customer Clicked on **Three touch-points** before making a $200 Purchase.

Using the default Last Ad Click and Last Marketing Click Channel Settings:

> **The First Click Channel is "Email" (Visit One)**
> 
> **The Last AD Click Channel is "NULL" (Customer did NOT click an Ad Channel)**
> 
> **The Last Marketing Click Channel is "Email" (Visit Two)**
> 
> **The Last Click Channel is "Organic Search" (Visit Three)**

**Without this Model in Place -** First Click attribution would give full Credit of $200 to "Email" and Last Click attribution would give full Credit of $200 to "Organic Search"

**With This Model in Place -** "Email" receives credit using two different Models.

**Additionally - Both 'Email' AND 'Organic Search' Channels can get the full $200 Credit using the Assisted Attribution + Last Click Model.**

![ExampleB](https://support.daasity.com/hs-fs/hubfs/ExampleB.png?width=688&height=414&name=ExampleB.png)

 