What's newin Layers

LayersQL now reports how deep in your results shoppers click and view, with average and maximum depth metrics on the search, collections and blocks datasets.

Relevant insights now show up on Analytics, Collections, Merchandise, Sort Orders, and Product Sequences.

Sort LayersQL results with the new ORDER BY clause, and measure ctr, cvr, aov and more across every request dataset.

See which filters shoppers actually use, and which ones lead to dead ends, with new LayersQL metrics and dashboard reports.

The `sort_order` dimension on the Collections dataset now groups and filters by sort order handle instead of an internal ID, and `sort_order_id` is deprecated.

A new MCP tool lets your AI assistant save LayersQL queries as reports and assemble them into dashboards, complete with chart config and a link back into Layers.

Rename the contextual dimensions Layers records for your store, review data coverage, and browse recorded values, all from a new Settings page.

Filters injected by a request transform's Add filter group action are now tracked separately from the filters your shoppers apply themselves, so facets, filter targeting, zero-result recovery, and analytics all reflect the shopper's intent.

Attribute banner impressions and clicks back to the merchandising rule that placed them.

Every store now gets an automatic weekly email recapping search and merchandising performance — no dashboard login required.

Zero-result search reporting no longer counts SKU and barcode lookups that miss your catalog, and LayersQL now tracks those misses under their own metrics.

Product Family is now a groupable LayersQL dimension — roll split listings and variants up into one row when reporting on products, sort orders, and metrics.