Not all shoppers are the same. And the way a shopper arrives in your store shapes how they want to navigate it. Some arrive with a specific product in mind - they'll head straight to the search bar. Others are in discovery mode - they'll navigate through categories, apply filters, and browse until something catches their eye.
These are fundamentally different navigation modes, and optimising your store for both is one of the most effective ways to improve conversion across your entire customer base.
Who Uses Search and Who Browses?
- High-intent shoppers prefer search. They know what they want and use the search bar to find it as efficiently as possible.
- Inspiration-seeking shoppers prefer browse. They have a general need and want to explore. Search feels too narrow for this mode.
- Mobile shoppers skew toward search. Typing is often easier than navigating a deep category tree with small touch targets.
- Returning customers skew toward search. They're often coming back for a specific product they've seen previously.
Why Both Navigation Modes Need Investment
Neglecting search means failing your highest-intent shoppers - the customers most ready to buy. Neglecting browse limits the discovery potential of your catalogue. Shoppers in exploration mode will get lost in poorly structured category trees, be frustrated by filters that don't match their criteria, or simply fail to find products that could have been perfect for them.
The Overlap: Where Search and Browse Converge
A shopper searches for "leather wallet," lands on a results page, and then uses filters to narrow by colour and price - transitioning from search to browse-style exploration. The strict distinction between these modes is increasingly blurred. Your search results pages need to support browse-like behaviour (filters, sorting), and your category pages need search-like precision (smart filtering, clear hierarchy).
How to Evaluate Your Search Experience
- Relevance: Are the most relevant products appearing at the top of results?
- Zero results rate: What percentage of searches return nothing?
- Search-to-click rate: Of shoppers who search, what percentage click on a result?
- Search conversion rate: How does it compare to your overall site conversion rate?
How to Evaluate Your Browse Experience
- Category page bounce rate: High bounce rates often indicate category structures that don't match customer mental models.
- Filter usage rate: Are shoppers using your filters? Low usage suggests filters don't reflect what shoppers care about.
- Filter-induced zero results rate: What percentage of filter combinations produce empty pages?
Building a Cohesive Navigation Experience
- Make search and category navigation reinforce each other - search results pages should include category-level filtering, and category pages should include search within category
- Use search data to improve browse architecture - if "black winter coats" is a top query, consider creating it as a category or featured filter
- Use browse data to inform search ranking - if 80% of "sofas" browsers filter by "2-seater," weight 2-seater options toward the top of sofa search results
Key Takeaways
- High-intent shoppers prefer search; exploration-mode shoppers prefer browse - both groups need a great experience
- The boundary between search and browse is blurring; both should support the other's navigation mode
- Use search data to improve browse architecture, and browse data to inform search ranking
See the difference on your catalogue
BRADsearch gives you analytics across both search and browse interactions, so you can see the full picture of how shoppers navigate your catalogue.