Activity
Running, fitness, football, cycling and outdoor sports each have different characteristics and search patterns.
Product data →Sports
Allow athletes to search by activity, level and application.
Sports ranges combine brands, sizes, disciplines, seasons and usage levels. Good search connects those characteristics with both targeted and orienting search queries.
Sport discovery
Allow activity, level and product attributes to work together.
Level & use
Questions like “running shoe for beginner” ask for context in addition to brand and category.
AI Search →Size & variant
Allows sizes, colors and available variants to be directly usable in filters and results.
Filters →Season & campaigns
Use merchandising to direct current sports and campaigns without losing basic relevance.
Merchandising →Optimizing to real demand
Use behavior to improve assortment and search experience in a targeted way.
Brand searches
Recognize strong brand intent and combine it with relevant product and size context.
Zero-result searches
Use missed terms to find missing product data, alternative names or assortment questions.
Zero-result searches →Mobile
Keep filters and result selection quickly usable on small screens.
Mobile search →Analytics
Follow question, clicks and trends by discipline or category with consistent definitions.
Analytics →Test with real sports queries, sizes and variants.
This quickly reveals where product data, filters and semantic understanding add value.