Guide shoppers to relevant products with intuitive visual paths through categories, brands, and product attributes.
A search can return relevant products and still leave shoppers unsure where to go next. Large result sets make it harder to spot the right options, especially when useful filters are easy to overlook.
Visual navigation brings those choices into view, helping shoppers recognize relevant categories, brands, and attributes so they can narrow their search with confidence.
FindTuner turns categories, brands, and product attributes into clear visual choices that help shoppers decide where to go next. Use images and labels to highlight relevant options, apply filters, or direct shoppers to a destination.
Search teams and merchandisers can tailor these paths to the search context and business priorities, making large catalogs easier to explore and relevant products easier to reach.
Add visual navigation to your existing Elasticsearch, OpenSearch, or Solr implementation to:
Create visual paths that help shoppers explore your catalog, narrow their choices, and discover relevant products with confidence.
Use shopper behavior to optimize facet and facet value ordering. Bring relevant brands, categories, and attributes forward, and personalize navigation to help shoppers narrow their choices faster.
Automatically apply relevant filters to guide shoppers to a specific area of your catalog. Connect visual navigation choices with focused results so shoppers can reach the right products with fewer steps.
Use your A/B or multivariate testing framework to compare visual navigation choices, placements, and drilldown strategies. Pass test identifiers to FindTuner to apply each strategy and evaluate which performs best for your shoppers.