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@algolia/client-analytics
Advanced tools
The @algolia/client-analytics package is designed to interact with Algolia's Analytics API, enabling developers to track and analyze search behavior and performance within their applications. It provides a comprehensive set of features for fetching analytics data, such as popular searches, no-result searches, and search counts, allowing for a deeper understanding of user interaction and search effectiveness.
Get Popular Searches
This feature allows you to retrieve the most popular searches made in a specific index. It's useful for understanding what users are most frequently looking for.
{"client.initAnalytics().getTopSearches({ index: 'your_index_name', size: 10 }).then((result) => { console.log(result); });"}
Get Searches with No Results
This functionality enables you to fetch searches that returned no results, which can be critical for identifying gaps in your content or areas where the search experience can be improved.
{"client.initAnalytics().getNoResultsRate({ index: 'your_index_name', size: 10 }).then((result) => { console.log(result); });"}
Get Search Count
This feature provides the total number of searches performed in a given index over a specified period. It's useful for tracking the overall usage and engagement with the search functionality.
{"client.initAnalytics().getSearchCount({ index: 'your_index_name' }).then((result) => { console.log(result); });"}
Elasticlunr is a lightweight search engine providing similar search capabilities to Algolia but is designed for smaller scale applications. Unlike @algolia/client-analytics, it focuses more on the search engine itself rather than analytics.
The search-insights package is another Algolia product that enables capturing search analytics data. It complements @algolia/client-analytics by providing a more event-centric view of user interactions, such as click and conversion tracking.
FAQs
JavaScript client for client-analytics
The npm package @algolia/client-analytics receives a total of 1,350,567 weekly downloads. As such, @algolia/client-analytics popularity was classified as popular.
We found that @algolia/client-analytics demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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