Understanding Data-Driven Attribution Model Explorer in Google Analytics

This article is related to Attribution Modelling in Google Analytics.

If you are brand new to Google Analytics Attribution then read this article first: Beginners Guide to Google Analytics Attribution Modelling

Model Explorer (also known as Data Driven Attribution model explorer) is an attribution modelling tool through which you can determine how the Data Driven Attribution (DDA) model values were calculated in Google Analytics and how the DDA model distributed conversion credit to various marketing channels, defined in the ‘default channel grouping’.

Criteria to be eligible to use Data-Driven Attribution Model Explorer

The primary requirement to be eligible to use the Model Explorer tool is access to Google Analytics 360/premium account.

The model explorer tool is not available in the standard version of Google Analytics.

Following are other critical requirements to be eligible to use this tool effectively:

#1 ‘Goal conversion’ tracking setup in your chosen GA premium view. So that goal data is available to your DDA model.

#2 ‘ecommerce tracking’ or enhanced ecommerce tracking set up in your chosen GA premium view. So that ecommerce data is available to your DDA model. 

#3 Data Driven Attribution Model set up in your chosen GA premium view.

#4 Availability of cost data in GA reports.

#5 At least 60 days of historical data in Google Analytics (in order to make the data statistically significant). This data include: ecommerce data, goal conversion data, cost data and website usage data.

 

To access the Model explorer tool follow the steps below:

Step-1: Login to your GA premium account and then navigate to the reporting view for which the Data Driven Attribution model has been enabled.

Step-2: Navigate to Conversions > Attributions > Model Explorer:

You will then see the data driven attribution model explorer report.

How to read the Data Driven Attribution Model Explorer Report?

This report is going to look like the one below:

read-model-explorer-report

DDA model determine and use up to four most influential interactions/touchpoints in the last 90 days prior to each conversion. These interactions are reported by the Model explorer tool.

This tool assigns ‘weighted average credit’ to each of the 4 interactions for each marketing channel. 

Determining the overall weight of marketing channels in a particular time period

In order to determine the overall weight of marketing channels in a particular time period, follow the steps below:

Step-1: Select ‘All’ from the ‘conversion’ drop down menu in the model explorer report:

all-conversions

Step-2: Look at the ‘Conversions’ column in the model explorer report:

data-driven-conversions

The marketing channel with higher data driven conversions carries more weight in a particular time period.

If you want to determine the weight of a marketing channel for a particular conversion then select the conversion from the ‘conversion’ drop down menu in the model explorer report:one-conversion-type-selected

You can also download the latest data driven attribution model into excel for further analysis by clicking on the ‘Download the full model button at the top right of the ‘Model explorer tool’:download-the-full-model

The downloaded DDA model include only those conversions whose conversion path length is 2 or more interactions and which were recorded in the last 28 days from the time the DDA model was last generated.

The DDA model you see in the model explorer report show conversion credits based on the conversion type and time period you select for the report. Because of this reason your downloaded model may not match with the DDA model you see, in your model explorer report.

Announcement about my books

Maths and Stats for Web Analytics and Conversion Optimization
This expert guide will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions, which can quickly improve the bottom-line of your online business.

Master the Essentials of Email Marketing Analytics
This book focuses solely on the ‘analytics’ that power your email marketing optimization program and will help you dramatically reduce your cost per acquisition and increase marketing ROI by tracking the performance of the various KPIs and metrics used for email marketing.

Attribution Modelling in Google Analytics and Beyond
Attribution modelling is the process of determining the most effective marketing channels for investment. This book has been written to help you implement attribution modelling. It will teach you how to leverage the knowledge of attribution modelling in order to allocate marketing budget and understand buying behaviour.

Himanshu Sharma

Certified web analyst and founder of OptimizeSmart.com

My name is Himanshu Sharma and I help businesses find and fix their Google Analytics and conversion issues. If you have any questions or comments please contact me.

  • Over eleven years' experience in SEO, PPC and web analytics
  • Google Analytics certified
  • Google AdWords certified
  • Nominated for Digital Analytics Association Award for Excellence
  • Bachelors degree in Internet Science
  • Founder of OptimizeSmart.com and EventEducation.com

I am also the author of three books:

error: Content is protected !!