Algolia offers Search Analytics with every plan to help you understand how your search meets the expectations of your users. The Algolia extension for Magento Open Source and Adobe Commerce comes with its own Analytics dashboard that shows some of this data. Go to Stores > Algolia Search > Analytics Overview to get started.
You can filter analytics data by store view, index type, and date range. The index types are limited to products, categories, and pages.
By default, Algolia retains the last 90 days of your analytics history. You can extend your analytics retention up to 365 days.
The Analytics page provides the following metrics out of the box:
|Total searches||How many searches were performed. As-you-type searches are aggregated. For example, if a user searches for “iPad”, the queries
|Users||How many unique users performed a search|
|No results rate||Percentage of searches that returned 0 results. The lower, the better|
|Daily searches||A bar chart displaying the number of searches per day in the selected date range. You can reveal more daily statistics by hovering over each bar|
|Popular searches||Which searches are performed most often|
|Popular results||Results that are displayed most often in the results after a search|
|No results searches||Search queries that returned 0 results. Consider adding synonyms to your index, or improve keywords in your data set to reduce the number of no results searches.|
Click and conversion analytics
Algolia tracks a search, when the search request contains the
See Click and conversion analytics
for more information.
With Click Analytics enabled, you can find these additional metrics in the Analytics dashboard:
|Click-through rate (CTR)||Percentage of users that click at least one result in a tracked search.|
|Conversion rate||Percentage of tracked searches that lead to a successful conversion. See Click and conversion analytics for more information.|
|Click position||The average position of the clicks in the search results. For example, a click position of 1 indicates that every user clicked on the first result when searching.|