Across most eCommerce verticals, we often see users who engage with facet refinements convert at a higher rate than users who do not. 

For this reason, we've long supported the ability to rank facets not just alphabetically, or by the number of matches, but also by automatically increasing the rank of facets and options corresponding to product ranking, itself optimized for business KPIs. To this feature we added global facet ranking overrides in 2020.

We'll be rolling out new features for facet ranking in the coming weeks, but want to share a first release for facets: Browse facet analytics! Check browse analytics here!

Category browse facet analytics

We now report facet engagement for each category page both in the percentage of requests that include facet refinements, as well as for engagement with individual facets. 

In this case, we see that Gender and Age are particularly important to users. Because Constructor will associate users' ultimate clicks, add to carts and purchase events with the original category intent (a generic 'Jackets' landing page in this case), all the products users arrived at after faceting will be appropriately ranked for the principal category page. The analytics here tell us about the product attributes users typically consider when they land at a broad page like 'Jackets' - Brand, Gender, Age and Size in this case. This information can help inform overrides - currently these are supported at the global level through gobal facet configuration, but we'll soon allow these at the query- or category-level.

Category browse analytics

Incidentally, the release of category facet analytics also marks our first release of category detail analytics as a whole. Previously we provided an overview of all category pages and their clickthrough rates, but we'll now surface detailed analytics for any category page!

Finally, we've improved our interface in the category analytics overview, allowing users to hover on a category to jump to interact, analytics or searchandizing.