On-site search queries are the words or phrases visitors type into your ecommerce store’s internal search bar. They reveal exactly what shoppers are looking for after they’ve arrived on your site.
Why On-Site Search Queries matters?
On-site searches are one of the most direct signals of purchase intent. Visitors who search are typically further along in the buying journey than those who only browse. Analyzing search queries can uncover gaps in your product assortment, highlight the exact language customers use, and reveal friction points in navigation. For ecommerce brands, optimizing search results directly impacts conversion rates and revenue, since high-intent users will leave quickly if they cannot find what they want.
How On-Site Search Queries works?
Most ecommerce platforms and analytics tools record search terms and can pair them with engagement or purchase data. Look for high-volume queries with low conversion or high exit rates, these often signal relevance issues or missing inventory. Pay attention to “zero-results” searches, as they may indicate the need for synonyms, better tagging, or product development.
Example in ecommerce
A home décor brand notices that “oak bookshelf” is searched frequently but yields no results. They update product metadata, create a dedicated collection page, and promote relevant items. Conversion rate for that term increases from 0% to 6%, adding $20,000 in monthly sales.
Common mix-ups
On-site search queries are not the same as SEO keywords. SEO focuses on external search engines, while on-site queries capture behavior within your own store.
Best practices
- Regularly review top queries and zero-result terms.
- Add synonyms and alternate spellings.
- Enable predictive search with product thumbnails.
- Promote high-converting items in search results.
- Analyze search conversion rate alongside query data.
- Use search insights for product development ideas.
- Monitor mobile search performance separately.
Industry benchmarks
- 10-20% of visitors use on-site search in large catalogs.
- Search users often convert 2-4× higher than non-searchers.
