Increase Search Speed with Real-Time Query Suggestions for Ecommerce

Why Query Suggestions Matter in Ecommerce Search

Many shoppers don’t know exactly what to type when they start searching. Misspellings, incomplete queries, or vague product names often lead to poor results — or no results at all.

Query suggestions solve this by guiding users as they type, showing popular and relevant search terms in real time. This helps shoppers complete their search faster and reduces friction before results are even shown.

Key Benefit: Autocomplete search ecommerce improves search accuracy, reduces zero-result queries, and helps users find products with fewer keystrokes.

How Query Suggestions Work

Real-Time Guidance While Typing

• Instant Suggestions — Display relevant search queries as users type in the search bar.
  
  
• Behaviour-Driven — Suggestions are influenced by what other shoppers search for and click.
  
  
• Error Reduction — Guide users away from misspellings and low-performing queries.
  
  

Clerk.io generates query suggestions dynamically, based on search behaviour and available products. As a shopper types, suggested queries update instantly — helping them land on meaningful results faster.

Use Case: Fewer Dead Ends, Faster Searches

An electronics retailer sees many users typing short or incomplete queries like “wirel”, “headp”, or “usb”.

Without query suggestions, these searches often return weak or no results, leading to frustration and drop-off.

With real-time query suggestions, the search bar guides users toward “wireless headphones”, “headphones with mic”, or “USB-C charger” — increasing the chance of a successful search and a product click.