Enhanced Ecommerce ETL from Search API to Google Analytics
This process is related to collection of data for analytics and is run daily to ensure Google Analytics (GA) is in sync with Search API. This process can be rerun multiple times without side effect.
Enhanced Ecommerce is a Google Analytics tool which measures user interactions with lists of items. We use it on GOV.UK to investigate search relevancy by looking at how often links in search results are clicked compared to how often they are shown.
Ecommerce events only send the
content_id to google analytics. In order to make the data valuable we upload additional data fields linked to the
content_id which can then be used for reporting within GA. GA refers to this process as a query time import.
This task is responsible for generating the data file on a production search server, deleting historical uploads, and then uploading a new file.
It uses the
analytics:export_indexed_pages_to_google_analytics rake task
in Search API.
The uploaded file is a CSV containing documents stored in the search indexes, in addition to lots of fields that we want GA to have access to, such as ‘link’ and ‘content_store_document_type’.
Previously, files would be stored in the
directory on the server, and then manually uploaded into GA.
Currently, the rake task will generate the file and upload it in one step.
If the check fails: