This question explores Analytics & Tracking and addresses practical considerations related to: How can I use BigQuery to analyze eCommerce conversion rates over time?

How can I use BigQuery to analyze eCommerce conversion rates over time?

Ask any question about Analytics & Tracking here... and get an instant response.

Post this Question & Answer:

How can I use BigQuery to analyze eCommerce conversion rates over time?

Asked on Feb 17, 2026

Answer

Previous Question Next Question

To analyze eCommerce conversion rates over time using BigQuery, you'll need to query your GA4 data that's exported to BigQuery. This involves calculating the conversion rate by dividing the number of conversions by the number of sessions over a specific period.

<!-- BEGIN COPY / PASTE -->
    SELECT
      DATE(event_timestamp) AS date,
      COUNTIF(event_name = 'purchase') / COUNT(DISTINCT session_id) AS conversion_rate
    FROM
      `your_project.your_dataset.events_*`
    WHERE
      _TABLE_SUFFIX BETWEEN 'start_date' AND 'end_date'
    GROUP BY
      date
    ORDER BY
      date;
    <!-- END COPY / PASTE -->

Additional Comment:

Replace "your_project.your_dataset" with your actual BigQuery project and dataset names.
Ensure the event name for purchases matches your GA4 setup, typically "purchase".
Adjust 'start_date' and 'end_date' to the desired date range in 'YYYYMMDD' format.
This query calculates the daily conversion rate by dividing the number of purchase events by the number of unique sessions.

✅ Answered with Analytics best practices.

Ask any question about Analytics & Tracking here... and get an instant response.

How can I use BigQuery to analyze eCommerce conversion rates over time?

Asked on Feb 17, 2026

Answer

Real Questions. Clear Answers.