Search Analytics
Track and analyze how shoppers use search on your store.
Search Analytics
FilterIQ tracks search behavior on your store so you can understand what shoppers want, what they can't find, and how search drives revenue.
Dashboard Overview
The analytics dashboard is available at Analytics in the app navigation. It provides:
- Overview metrics — Total searches, search-driven revenue, conversion rate
- Top searches — Most popular search queries
- Zero-result searches — Queries that returned no products
- Click-through rate — Percentage of searches that result in a product click
- Filter usage — Which filters shoppers use most
Key Metrics
Total Searches
The total number of search queries performed on your store in the selected time period.
Search Conversion Rate
The percentage of searches that lead to an add-to-cart or purchase. Calculated as:
Search Conversion Rate = (Searches leading to purchase / Total searches) × 100
Average Results Per Query
The average number of products returned per search query. A very high number may indicate overly broad matching; a very low number may indicate missing products or overly strict search.
Zero-Result Rate
The percentage of searches that return no results. Target: under 5%.
A high zero-result rate indicates:
- Missing products in your catalog
- Missing synonyms (shoppers using terms you haven't mapped)
- Product naming that doesn't match shopper vocabulary
Top Searches Report
Shows the most popular search queries ranked by frequency.
Columns:
- Query text
- Search count
- Average results returned
- Click-through rate
- Conversion rate (if tracking enabled)
Use this to:
- Verify your most popular products are ranking well for common queries
- Identify trending products or categories
- Inform your merchandising strategy (boost products for popular queries)
Zero-Result Searches Report
Shows search queries that returned no products.
Why this matters:
- Missing synonyms — If shoppers search "hoodie" but your products use "sweatshirt," add a synonym
- Product gaps — If many shoppers search for a product you don't carry, consider adding it
- Typo patterns — While our search handles common typos, unusual misspellings may slip through
Actions you can take:
- Add synonyms for common alternate terms
- Update product titles/tags to match shopper vocabulary
- Configure "no results" fallback behavior to show related products
Filter Analytics
Track how shoppers use filters:
- Most used filters — Which filters are selected most often
- Filter-to-conversion rate — Which filters correlate with higher purchase rates
- Underperforming filters — Filters that are rarely used (consider removing or repositioning)
- Filter combinations — Common filter combinations (e.g., shoppers often filter by Color + Size together)
Time Range
All reports support custom time ranges:
- Today
- Last 7 days
- Last 30 days (default)
- Last 90 days
- Custom date range
Data Retention
Individual analytics events, such as each search, filter selection, product click or order, are kept for up to 365 days and then deleted automatically, normally within a day of that period ending. See the Privacy Policy retention schedule.
Exporting Data
You can export analytics data as CSV:
- Go to the analytics report you want to export
- Set your desired time range
- Click Export CSV
- The file downloads to your computer
Available exports:
- Top searches (with all metrics)
- Zero-result searches
- Filter usage summary
- Daily search volume
Privacy
Analytics data is:
- Aggregated — We track query patterns, not individual shoppers
- Store-specific — Your analytics data is isolated to your store
- Not shared — We never share individual store analytics with third parties
- Deletable — Uninstalling starts deletion of your analytics data. See the Privacy Policy retention schedule for Shopify request timing and deletion terms.