

Search data requires your connected platform to track on-site search events. If search analytics look empty, check that search tracking is enabled in your platform settings. The SEO report covers organic search visibility in Google; with Search Console connected, this report also shows the Google demand behind your catalog in the Search demand on Google block.
Key metrics
Five numbers tell you how well your search experience works.Search funnel
The search funnel traces how a session moves from search intent to purchase: Searches → Clicks → Conversions Each step shows the absolute count and the drop-off rate to the next step.
A healthy funnel converts 4–8% of searches directly into purchases. If you are below 2%, the issue is usually in the results display; if you are between 2–4%, the bottleneck is more often on the product page itself.
Insight chips
Above the main charts, three insight chips highlight patterns worth acting on immediately:- Best-converting query: the search term with the highest conversion rate, often revealing what your best customers are looking for.
- Most specific query: the longest or most detailed search term in the top queries; a signal that shoppers know exactly what they want.
- Recurring zero-result offenders: search terms that have returned no results across multiple days in the period. These are the most urgent gaps to close.
Read the charts and tables
Search volume
A sparkline shows how search volume trends over the selected period. Spikes often line up with marketing campaigns, seasonal demand, or new product launches.Top search queries
A bar chart ranks your most-searched terms by frequency. These are what customers care about most. Make sure they return excellent results.Query-length distribution
A donut chart breaks searches into three length bands:
An interpretation card below the donut explains what your specific mix suggests and whether to invest in synonym handling, faceted search, or richer product data.
Search by category
A donut chart shows which categories get the most search traffic. Use it to see which categories customers actively search for versus the ones they only browse.Discovery method
A donut chart breaks down how customers find products: direct search, category browsing, recommendations, or external links. Use it to weigh search against your other discovery paths.Trending searches
A table shows the search terms growing fastest in frequency. These are emerging trends: new demand, or responses to promotions and outside events.Search queries table
The full query table lists every search term with its performance data:
Sort by Conversion Rate to find your highest-intent terms. Sort by Searches to see what your customers care about most.
Zero-result queries table
A dedicated table lists every search term that returned no results, with two columns alongside the search count:Search demand on Google
With a connected Google Search Console property, a Search demand on Google block adds what people search for on Google to what they search for in your store. It needs synced Search Console data for the selected period; until then it says Search Console is connected and asks you to run a sync from the SEO report or pick a wider range.Top Google queries
Ranked by impressions, the real demand for your catalog. Each row shows impressions, clicks, CTR and position, plus a View rank history for shortcut that opens Rank history: : daily clicks, impressions, CTR and position for that term, with its Best position and the date it was reached. Position is each day’s impression-weighted average, not a rank snapshot, and Search Console keeps limited history. Explore queries opens the full loaded list.Missed demand
Searches where people see your page but click far less than they should at that spot. The table shows YOUR CTR next to the EXPECTED CTR for that position. People are looking, but not clicking; a better title and meta description usually fixes it. When every search gets about the clicks you would expect, the block says No missed demand detected.Opportunity segments
Segment chips above the queries put each query in at most one bucket, checked in the order shown:
“Below expected” uses the expected CTR from your Search Console insights whenever they cover the query; otherwise a position-based fallback applies. Each segment has an Export segment (CSV) button so you can hand the shortlist to whoever rewrites the titles.
Benchmarks
Use these ranges to judge your numbers at a glance.Act on what you find
Zero-result rate is above 5%
Zero-result rate is above 5%
Open the zero-result queries table and start with the Recurring terms, those appearing five or more times. Add synonyms, fix misspellings in your product data, or add the products customers are searching for. Use Enrich products to regenerate titles and descriptions for the relevant items so they match the search vocabulary. Outcome: each zero-result query you fix is an unfulfilled intent you convert into a potential sale.
CTR is low despite high search volume
CTR is low despite high search volume
Your results appear but customers do not click them. The fix is usually product titles and images, not catalog gaps. Use Enrich products to rewrite titles for your top-searched terms so they match the shopper’s language and highlight the key attributes. Outcome: higher CTR means more revenue from the same traffic without any ad spend.
Search converts poorly despite good click volume
Search converts poorly despite good click volume
Results are clicked but do not lead to a purchase. The bottleneck is the product page. Improve product descriptions, images, and pricing for the products that appear in your top queries. Run a Data Quality check to identify missing fields that undermine buyer confidence. Outcome: closing this gap turns already-engaged shoppers into buyers.
A trending search has no matching products
A trending search has no matching products
This is demand you are not yet serving. Add products to fill the gap, or update existing product titles and descriptions so they match the trending term. Outcome: capturing emerging demand early means you rank before competitors do.
4+ word queries dominate and conversion is low
4+ word queries dominate and conversion is low
Shoppers know exactly what they want but cannot find it. This points to catalog gaps or weak attribute data, missing dimensions, specs, or materials that shoppers use in detailed queries. Use Data Quality to identify missing fields for the relevant products. Outcome: filling attribute gaps improves both search relevance and SEO, compounding the benefit.
One query converts far better than others
One query converts far better than others
This is the keyword your best customers use. Treat it as a model: what does this product page do well that others do not? Copy those patterns across your catalog. You may also find it useful as an anchor for a product family to surface related items. Outcome: spreading best-performing content patterns can lift your average conversion rate catalog-wide.
Related
Traffic & Behavior
See the broader picture of how visitors navigate and engage with your store.
Conversions
Understand how search discovery connects to your overall conversion funnel.
Product Performance
Check whether the products customers search for are actually your best performers.
SEO
Track organic search visibility in Google via Search Console data.

