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Peliqan’s AI assistant helps you to write SQL queries to get to insights fast. Ask your question in plain English and immediately see the result in Peliqan’s rich spreadsheet viewer.
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Calculate the performance metrics (open rate, click rate, response rate) for each contact.
SELECT contact_id, AVG(open_rate) AS avg_open_rate, AVG(click_rate) AS avg_click_rate, AVG(response_rate) AS avg_response_rate FROM (SELECT contact_id, IFNULL(opened, 0) AS open_rate, IFNULL(clicked, 0) AS click_rate, IFNULL(response, 0) AS response_rate FROM (SELECT contact_id, CASE WHEN opened_at IS NOT NULL THEN 1 ELSE 0 END AS opened, CASE WHEN clicked_at IS NOT NULL THEN 1 ELSE 0 END AS clicked, CASE WHEN responded_at IS NOT NULL THEN 1 ELSE 0 END AS responded FROM email_campaigns) AS campaign_performance) AS contact_performance GROUP BY contact_id
Explore data in a rich spreadsheet UI. Use Magical SQL to combine and transform data. SQL queries become new tables that can be shared with business users and used in any BI tool such as Microsoft Power BI, Tableau or Metabase.
Peliqan’s AI assistant helps you to write SQL queries to get to insights fast. Ask your question in plain English and immediately see the result in Peliqan’s rich spreadsheet viewer.