Suggestion Types: Choose to surface queries, categories, products, or a mix. For high-traffic stores, prioritizing product-level suggestions can drive direct clicks to top-selling SKUs.
Max Suggestions & Grouping: Control how many items appear and whether they’re grouped by type (e.g., top three products, then top two queries). Grouped suggestions help shoppers refine intent rapidly.
Performance Thresholds: Set minimum impression or click-through thresholds to keep the dropdown relevant—filtering out rarely used or obsolete terms.
Personalization Tuning: Adjust the balance between global popularity and individual affinities to either reinforce trending items or spotlight personal tastes.
Monitor Dropdown Analytics: Track which suggestions drive clicks and which fall flat. Use this data to refine weighting rules or add new synonyms.
Surface Promotions & Collections: Temporarily inject campaign keywords or collection names into suggestions (e.g., “Spring Sale Dresses”) during promotions for higher visibility.
Optimize for Mobile: Keep suggestion text concise and limit images to ensure fast load times and easy tapping on smaller screens.
A/B Test Layout Variations: Experiment with different numbers of suggestions, image thumbnails vs. text-only, or suggestion grouping to find the highest-converting configuration.