To date, businesses have been testing search relevance in the dark—with little to no performance data or post-query metrics to inform optimizing search results for engagement. Algolia’s Analytics API and Click Analytics solutions started solving this challenge by providing you a complete view into the entire search lifecycle—from query to click-through to conversion.
The A/B testing feature rolled out today on our Enterprise plans empowers you to test performance impact of a change in the configuration of your search settings. The best part: you can create A/B tests entirely from the dashboard, without a single line of code (and of course, it is also doable entirely from the API).
Search and discovery are core to the digital experience, and relevance is the one aspect of search that can’t be overlooked. Nothing will have as much impact on the quality of your users’ experience than the relevance of results returned by your search engine.
Let’s take e-commerce as an example.
From the parsing of textual tokens, to the impact of your business metrics on the ranking formula, to the importance of the proximity of words in the query, Algolia offers dozens of features and settings allowing you to fine-tune the relevance to achieve great search results.
Let’s take an example where you have an index currently used in production. Let’s call it indexA.
The ranking strategy on this index currently relies on the number_of_views of each result. You’d like to know if changing the ranking strategy to rely on a number_of_likes instead of the number_of_views would lead to better search conversions.
A/B testing allows you to do exactly that, by following these steps:
Depending on the result, you’ll know if your new ranking strategy leads to more clicks and conversions on your search, so you can proceed with the changes with confidence!
We hope this feature will help you iterate faster on your configuration and achieve the best relevance for your search. And we certainly plan to guide you along the way and help you make the most of it!
We invite you join our upcoming webinar: “Optimizing search performance with A/B testing” and read the documentation or visit the product page to learn more
Don’t hesitate to get in touch and share your questions and feedback: shoot us an email, tweet to us, comment on this post.
Nicolas Baissas
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