給定user_behavior表,要求查詢次日,7日和30日用戶留存率。
`user_behavior`
+-------------------+---------+
| user_id | int |
| user_behavior_id | int |
| time | datetime|
+-------------------+---------+
解題思路:1,首先clarify次日,7日和30日用戶留存率的定義。現定為新用戶第一次登錄時間為第0天,新用戶定義為第一次登錄的用戶,登錄行為的代號為1。次日留存率:(第0天新增的用戶中,新增日之后的第1天還登錄的用戶數)/第0天新增總用戶數;7日留存率:(第0天新增的用戶中,新增日之后的第7天還登錄的用戶數)/第0天新增總用戶數;30日留存率:(第0天新增的用戶中,新增日之后的第30天還登錄的用戶數)/第0天新增總用戶數;
注意:留存一般是離散的概念,不要求用戶在N天內每天都登錄
2,摘選出每天的新用戶
3,列出每個新用戶第一次登錄的日期及此日期之后仍登錄的日期
4,計算列出的登錄日期之間的差值,如果相差1天,說明該新用戶次日仍留存,如果相差7天,說明該新用戶七日仍留存,以此類推
5,統計每天新用戶的留存人數以及計算留存率
答案:
WITH new_user AS ( SELECT user_id, MIN(time) AS first_login FROM user_behavior WHERE user_behavior_id = 1 GROUP BY user_id), next_times AS ( SELECT new_user.user_id, new_user.first_login, user_behavior.time AS next_time FROM new_user LEFT JOIN user_behavior ON new_user.user_id = user_behavior.user_id AND user_behavior.time > new_user.first_login), timediff AS ( SELECT user_id, first_login, DATEDIFF(first_login, next_time) AS diff FROM next_times); SELECT DATE(first_login) AS date, CONCAT(ROUND(COUNT(CASE WHEN diff = 1 THEN user_id ELSE NULL END)/COUNT(user_id), 4)*100, '%') AS '次日留存率', CONCAT(ROUND(COUNT(CASE WHEN diff = 7 THEN user_id ELSE NULL END)/COUNT(user_id), 4)*100, '%') AS '7日留存率', CONCAT(ROUND(COUNT(CASE WHEN diff = 30 THEN user_id ELSE NULL END)/COUNT(user_id), 4)*100, '%') AS '30日留存率' FROM timediff GROUP BY DATE(first_login) ORDER BY date;