analytics
Authorizations
Your Algolia application ID.
Your Algolia API key with the necessary permissions to make the request. Permissions are controlled through access control lists (ACL) and access restrictions. The required ACL to make a request is listed in each endpoint's reference.
Path Parameters
Unique A/B test identifier.
224
Response
OK
Unique A/B test identifier.
224
Date and time when the A/B test was last updated, in RFC 3339 format.
"2023-06-15T15:06:44.400601Z"
Date and time when the A/B test was created, in RFC 3339 format.
"2023-06-15T15:06:04.249906Z"
End date and time of the A/B test, in RFC 3339 format.
"2023-06-17T00:00:00Z"
A/B test name.
"Custom ranking sales rank test"
A/B test status.
active
. The A/B test is live and search traffic is split between the two variants.stopped
. You stopped the A/B test. The A/B test data is still available for analysis.expired
. The A/B test was automatically stopped after reaching its end date.failed
. Creating the A/B test failed.
active
, stopped
, expired
, failed
"active"
A/B test variants.
The first variant is your control index, typically your production index. The second variant is an index with changed settings that you want to test against the control.
A/B test significance calculated from click events.
Values of 0.95 or higher can be considered significant, that is, the difference between A and B variants is not due to random variations. Lower values have a.
1
A/B test significance calculated from conversion events.
Values of 0.95 or higher can be considered significant, that is, the difference between A and B variants is not due to random variations.
1
A/B test significance calculated from add-to-cart events.
Values of 0.95 or higher can be considered significant, that is, the difference between A and B variants is not due to random variations.
1
A/B test significance calculated from purchase events.
Values of 0.95 or higher can be considered significant, that is, the difference between A and B variants is not due to random variations.
1
A/B test significance calculated from revenue data.
Values of 0.95 or higher can be considered significant, that is, the difference between A and B variants is not due to random variations.
{ "USD": 1, "EUR": 0.87 }
Date and time when the A/B test was stopped, in RFC 3339 format.
"2023-06-15T15:06:44.400601Z"
A/B test configuration.