This export type provides insight into the behavior of your site users whilst they were members of one or more segment(s). Insights include location, number of visitors, number of transactors, and number of transactions.
This export will be of particular use to analysts and marketers who wish to analyze segment performance, in areas such as Conversion Rates (number of transactors versus number of visitors) and to create more meaningful experiences by analyzing visitor locations for high-value segments.
As with all Qubit exports, you can specify the level of reporting detail to get a much greater understanding of reportables and focus on the details you are really interested in.
For this export type, you can select:
meta_recordDate
, which is in the timezone configured for the propertyINFO: Duplicate session events typically account for less than 1% of all session events.
Name | Description | Output |
---|---|---|
Returning Visitor | Whether the visitor is new or returning | returningVisitor |
Operating System | The operating system of the visitor whilst in the segment | osName |
Device Type | The device type of the visitor whilst in the segment | deviceType |
Browser Version | The browser (and version number) of the visitor whilst in the segment | browserVersion |
Country | The country the visitor was in whilst in the segment | country |
Region | The region the visitor was in whilst in the segment | region |
Metro Area | The metro area the visitor was in whilst in the segment | area |
City | The city the visitor was in whilst in the segment | city |
Name | Description | Output |
---|---|---|
Visitors | Total number of distinct visitors that were members of the selected segment during the selected date range | visitors |
Converters | Total number of distinct visitors that converted whilst members of the selected segment during the selected date range | converters |
Conversions | Total number of conversions carried out by visitors whilst members of the selected segment during the selected date range | conversions |
Total Order Value (Conversions) | Sum of order values for conversions carried out by visitors whilst members of the selected segment during the selected date range | totalOrderValueConversions |
Revenue Per Visitor (Conversions) | Sum of order Revenue Per Visitor for conversions carried out by visitors whilst members of the selected segment during the selected date range | revenuePerVisitorConversions |
Average Order Value (Conversions) | Average of order values of conversions carried out by visitors whilst members of the selected segment during the selected date range. Only includes order values greater than zero | averageOrderValueConversions |
Conversion Rate | Proportion of distinct visitors that converted whilst members of the selected segment during the selected date range | conversionRate |
Additional fields not included in the dimensions and metrics table above:
Field | Description |
---|---|
segmentName | The name of the segment that the visitor belongs to |
To provide a basis from which to compare the performance of all of your segments, in this export, we only consider what a visitor does on your site whilst they are a member of the selected segments.
Let's say that you choose to restrict the reporting period to a one-month period, 1 January to 31 January. In this scenario, we will count the visitors that joined the selected segment(s) at any time during this period and report their behavior whilst a member.
Let's look at a few examples to help explain this point.
HINT: Remember that Visitors denotes the Total number of distinct visitors that were members of the selected segment during the selected date range.
Example 1
In this example, the visitor is counted as a segment visitor because they were a member during the selected date range. The transaction is counted because it occurred whilst the visitor was a member of the segment:
Example 2
In this second example, the visitor is counted as a segment visitor because they were a member during the selected date range, despite leaving before the end of the date range. The first transaction is counted because it occured whilst the visitor was a member of the segment. The second transaction is not counted because the visitor left the segment before it occured:
Example 3
In this last example, the visitor is not counted as a segment visitor, despite currently being a member of the segment. This is because they were not a member during the selected date range. The transaction is not counted because the visitor was not a member of the segment when it occured: