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Exporting Analytics

Export search and filter analytics data as CSV for external analysis.

Exporting Analytics

FilterIQ provides CSV export for all analytics data, enabling you to perform advanced analysis in spreadsheets, BI tools, or data warehouses.

How to Export

  1. Go to any analytics view (Summary, Search Queries, Filter Usage, etc.)
  2. Set the date range you want to export
  3. Click the Export CSV button
  4. The download will start immediately

Available Exports

Search Query Export

Includes:

ColumnDescription
queryThe search term
countNumber of times this query was searched
result_countAverage number of results returned
click_through_ratePercentage of searches that led to a click
zero_resultWhether this query returned zero results
dateDate of the aggregated data

Filter Usage Export

Includes:

ColumnDescription
filter_keyThe filter identifier (e.g., "color", "size")
filter_valueThe specific value selected (e.g., "Black", "M")
select_countNumber of times this value was selected
deselect_countNumber of times this value was deselected
collection_handleThe collection where the interaction occurred
dateDate of the aggregated data

Performance Export

Includes:

ColumnDescription
dateDate
avg_response_time_msAverage search response time in milliseconds
p95_response_time_ms95th percentile response time
total_requestsTotal search requests
error_countNumber of failed requests

Data Retention

Data TypeRetention
Individual events90 days
Daily aggregatesIndefinite
Export availabilityMatches retention period

Events older than 90 days are available only as daily aggregates, not individual records.

Using Exported Data

In Google Sheets

  1. Export the CSV
  2. Open Google Sheets
  3. Go to File > Import > Upload
  4. Select the CSV file
  5. Use pivot tables to analyze trends

In Excel

  1. Export the CSV
  2. Open Excel
  3. Go to Data > From Text/CSV
  4. Import the file
  5. Use Power Query for advanced analysis

Best Practices

  1. Export weekly for ongoing reporting
  2. Save exports in a shared drive so your team can access historical data beyond the retention window
  3. Combine search and filter exports to understand the full shopper journey -- what they searched for, then how they filtered
  4. Track zero-result rate over time to measure the impact of your synonym and catalog improvements
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