Use the Model comparison report to compare how different attribution models impact the valuation of your marketing channels.In this article:
Available attribution models
An attribution model is the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths. Learn more about the available attribution models.
How to use the report
Access the report
- In Google Analytics, click Advertising on the left.
- Go to Attribution > Model comparison.
Select date range and conversion events
Start by selecting a date range from the date picker drop-down menu at the top right. Then select one or more conversion events from the drop-down menu at the top left of the report. By default, all conversion events are selected, and they're aggregated together in the report.
Add a filter (optional)
The report displays data from all users. To see data for a specific set of users, click Add filter at the top left.
You might want to filter for:
- A specific campaign to see how attribution models value touchpoints for that given media initiative. Create an Include filter, select User campaign under Acquisition, and select your campaign name as your dimension value.
- Certain regions to understand how attribution models value touchpoints based on the different initiatives you have in each region. Create an Include filter, select Region under User, and select your desired dimension values.
- Device category to understand performance on different devices. Create an Include filter, select Device category under Device, and select desktop, mobile, and tablet as your dimension values.
Select dimension to report on
The data table shows your data broken out by the Default channel group dimension. Use the drop-down to view data by the Source/medium, Source, Medium, or Campaign dimensions.
Select attribution models to compare
Use the drop-down in the Attribution model (non-direct) columns to choose which attribution models to compare.
Click Edit comparisons to change what's displayed in the report. In the Customize report panel, you can add a filter or change the reporting time.
The report shows data from all users. Click the filter name to edit or add filters.
The default is Conversion time.
- Conversion time: This reflects attributed credit for all touchpoints occurring in the lookback window prior to the conversions in the specified time range. Note that these touchpoints may happen before the specified time range.
- Interaction time: This reflects attributed credit for all touchpoints occurring in the specified time range. Note that conversions may happen after the specified time range.
Share, download, or export report
Click Share this report in the top right to share, download, or export the data currently shown in the table.
Understand the data
The data table shows your data broken out by the Default channel group dimension. For each channel, it shows 2 metrics as calculated by the selected attribution models:
- Conversions: Count of conversions that are attributed to the selected dimension
- Revenue: Amount of revenue that is attributed to the selected dimension
The % Change columns show the percentage by which conversions and revenue increase or decrease under different attribution models.
To find channels or campaigns that are undervalued on a last click basis, you can start with the following comparisons:
- Compare the "Cross-channel last click" model to the "Cross-channel first click" model to identify undervalued campaigns that are starting customers down the conversion path. This is helpful if you're looking to drive more new customers to your website or app.
- Compare the "Cross-channel last click" model to the "Cross-channel linear" model to identify undervalued campaigns that are assisting customers all along the conversion path. This is valuable if you want to stay in touch with customers throughout their purchase process.
In some cases, Analytics is unable to display dimension values because they're missing or otherwise unavailable. To keep the conversion and revenue credit totals accurate, the report might show one or more of the following values:
|(not set)||(not set) is a placeholder name that Analytics uses when it hasn't received any information for the dimension you have selected. For example, manually tagged URLs could be missing a parameter like campaign, source, or medium|
Unassigned is the value Analytics uses when there are no other channel rules that match the event data
Direct is the value that Analytics uses when there is no path data for which to credit the conversion; for example, data import
|Unattributable||Unable to assign credit for the dimension you've selected|
|(Other)||(Other) is the value Analytics uses for an aggregated row due to cardinality limits. Learn more|