Catal helps eCommerce teams design product catalogs and navigation architectures that reduce friction, boost discovery, and convert more visitors into buyers.
From category architecture to real-time search — Catal covers every layer of the navigation stack.
Build scalable category hierarchies that help shoppers understand where they are and quickly reach the right product tier — even across thousands of SKUs.
Design filter systems that narrow down results without overwhelming the user. Learn which attributes to surface, how to order them, and how to handle conflicts.
Craft mega menus, flyouts, and mobile drawer menus that balance breadth and depth — so users can browse at a glance or drill deep into any subcategory.
Build intelligent search experiences with autocomplete, faceted results, synonym handling, and zero-results fallbacks that keep shoppers engaged.
Map existing categories, menus, and search queries. Identify where users drop off and which paths lead to conversions.
Build a category hierarchy that scales as your catalog grows. Use card-sorting, tree testing, and analytics to validate structure.
Choose the right filter attributes, order them by importance, and design mobile-friendly filter panels that don't block the product grid.
Track null-search rates, filter usage, and category exit rates. Continuously refine your navigation based on real user behavior.
Present only the choices relevant to the shopper's current context. Too many options cause decision fatigue and abandonment.
Reveal deeper categories and filters only when a user commits to a path. Surface breadth at the top, depth on demand.
Maintain naming conventions and attribute structures across all categories so users build intuition as they browse.
Over 70% of shoppers browse on mobile. Filters must work as bottom sheets or collapsible panels — never hidden sidebars.
Users switch between search and browse. Both must surface the same product set with consistent filtering and sorting options.
Show result counts as filters are applied. Users should never hit an empty state blindly — guide them with smart suggestions.
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