Advanced Buyer Analytics Reports
This feature provides a raw data output on user engagement and configurator load time.
Last updated
This feature provides a raw data output on user engagement and configurator load time.
Last updated
The Analytics Reports can be used to garner insight into how your users interact with the Threekit-driven experience. The data can provide information about buyer trends for specific products or options, over a given time period.
These reports capture three broad categories of data:
Configuration Changes - what the customer looks for
Player Load Time - how long the customer has to wait to get the visuals
Session Length - how long the customer spends during configuration
The resulting reports are presented as a set of spreadsheets which contain the raw analytics data, ready for download as .csv files.
In order to visualize the data or extract specific information, these spreadsheets would need to be processed by an external data manipulation toolset or script.
To get access to these reports, ThreeKit org administrators need to enable the Advanced Buyer Analytics feature for that specific org. Please reach out to your Account Executive or Customer Success Manager for more details.
Once the feature has been enabled, you will then be able to generate the reports by accessing the Reports page under the main Analytics section from the org sidebar.
You have the choice to generate any of the following reports, based on a given Start Date and End Date:
Configuration Changes
Player Load Time
Session Length
Once the reports have been generated, they will become available as entries on the Reports page. Each one will have an Export button available that enables the user to download the CSV file for that particular report.
The View Full Log option beside each report will take the user to the Job page that was used to generate the report. The task in that job can provide some additional information about the job, for troubleshooting purposes.
The Reports page can also be filtered by Report Type, Start Date, and End Date.
event_descriptor - the name of the measured event (typically Configuration Change, Player Load Time, or Session Length)
session_id - a uniquely generated code to identify one session (i.e. a single-page visit). Events with the same session_id all occurred within the same single session
asset_id - the Threekit Item or Asset referenced by the player
client_provided_id - a field referencing external analytics data, allowing you to match a Threekit session_id to that external data. It is empty by default but can be populated by following our documentation here.
event_timestamp - the date and time in which the event occurred
device_type - the device and browser used during the session
org_id - the reference to the Threekit organization used
current_configuration - contains the configuration data for each event stored as a JSON script, which includes the asset IDs of all the options used in that configuration
total_time_in_seconds - the time it took the player to fully initialize
total_time_spent_seconds - the time a user spent on the configurator page
meta - a legacy field for additional information, typically left blank
Events will show up on this spreadsheet based on when the buyers perform configuration changes on any of the catalog items. For example, when the users make a choice of material, change to a different camera, or even when they enter personalization text.
Custom events can also be triggered through a custom script using the Create Event API. This could be particularly useful for modular configuration.
The current_configuration column inside the Configuration Changes report will contain a JSON script, which contains all the choices made by a user in every step. Some steps may trigger multiple configuration changes, such as the choice of a suit fabric triggering a change of button and stitching thread colors.
The JSON script will include the asset IDs of all the options used in configuration changes.
It is possible to correlate the data from the ThreeKit reports with Google Analytics based on session IDs and time-stamps. You would need to associate a ThreeKit session_id with a Google Analytics Session ID. Once set up, the ThreeKit report will populate the client_provided_id column with the Google Analytics Session ID.
The resulting report can then be loaded by an external data manipulation script or toolset for further processing using the session IDs and time stamps.
Here is a guide on matching the session IDs from the external analytics data, to the data from the ThreeKit reports.
The Advanced Buyer Analytics is enabled by default on all existing and newly created Items in the Catalog. If you wish to stop tracking analytics on specific items, this can be done in a couple of different ways, from the individual Item page. Simply choose to Un-track Buyer Analytics from the More... button on the Item preview page, or check off the Track Buyer Analytics checkbox on the Item's Quick Edit panel.
A very important aspect of buyer analytics are the choices that buyers actually make at the end of their experience with the configurator, and the journey that took them to their final decision.
At this time, ThreeKit is unfortunately unable to provide access to analytics data on Add-To-Cart or Buy-Button clicks by the end users, as these functions exist outside of the ThreeKit Player.
As a workaround please follow the steps suggested above for connections to external analytics tools like Google Analytics.
The reports currently generated by ThreeKit only contain the raw analytics data. This makes it difficult to extract specific information, such as buyer trends for most popular configuration options over a given time period.
In order to easily visualize the data, an external toolset or scripts would be necessary at this time.
