Product Analytics. Part 2 Calculating D1-D30 retention curve. Part 3

193. Calculating D1-D30 retention curve. Part 3

In this lesson we’ll analyze the query for the retention curve from the previous exercise:

WITH user_activity AS ( SELECT u.user_id, u.created_at::date AS signup_date, e.created_at::date AS activity_date, COUNT(*) AS events_counts FROM mobile_analytics.events u LEFT JOIN mobile_analytics.events e ON e.user_id = u.user_id WHERE u.action = 'signup' GROUP BY 1, 2, 3 ORDER BY signup_date ASC, user_id ASC ) SELECT activity_date, COUNT(DISTINCT(user_id)) AS active_users, FIRST_VALUE(COUNT(DISTINCT(user_id))) OVER() AS cohort_size, 100.0 *...
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-- Type your query here, for example this one -- lists all records from users table: SELECT * FROM users
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