app运营：用户留存率详解

留存率，越来越受到大家的关注，从网站用户到客户端产品，游戏产品，无线APP产品，都非常重视这一指标，留存率成为衡量一个产品是否健康成长的重要指标之一。

 

SELECT
    first_day,
    sum(case when by_day = 0 then 1 else 0 end) day_0,
    sum(case when by_day = 1 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) day_1_rate,
    sum(case when by_day = 3 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) day_3_rate,
    sum(case when by_day = 7 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) day_7_rate,
    sum(case when by_day = 14 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) day_14_rate,
    sum(case when by_day = 30 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) day_30_rate
FROM
   (SELECT 
      user_id,
      login_time,
      first_day,
      DATEDIFF(login_time,first_day) as by_day
   FROM
     (SELECT
        b.user_id,
        b.login_time,
        c.first_day
      FROM 
        (SELECT
            user_id,
            str_to_date(login_time,'%Y-%m-%d') login_time
         FROM user_info
         GROUP BY 1,2) b
    LEFT JOIN
      (SELECT
          user_id,
          min(login_time) first_day
       FROM
           (select 
                user_id,
                str_to_date(login_time,'%Y-%m-%d') login_time
            FROM 
                user_info
            group by 1,2) a
       group by 1) c
     on b.user_id = c.user_id
     order by 1,2) e
  order by 1,2) f
group by 1
order by 1

with demo_temp as(
SELECT
            user_id,
            str_to_date(login_time,'%Y-%m-%d') login_time
         FROM user_info
         GROUP BY 1,2
)

SELECT
    first_day,
    sum(case when by_day = 0 then 1 else 0 end) day_0,
	concat(truncate(sum(case when by_day = 1 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) *100,2),'%') day_1_rate,
	concat(truncate(sum(case when by_day = 3 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) *100,2),'%') day_3_rate,
	concat(truncate(sum(case when by_day = 7 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) *100,2),'%') day_7_rate,
	concat(truncate(sum(case when by_day = 14 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) *100,2),'%') day_14_rate,
	concat(truncate(sum(case when by_day = 30 then 1 else 0 end)/sum(case when by_day = 0 then 1 else 0 end) *100,2),'%') day_30_rate
FROM
   (SELECT 
      user_id,
      login_time,
      first_day,
      DATEDIFF(login_time,first_day) as by_day
   FROM
     (SELECT
        b.user_id,
        b.login_time,
        c.first_day
      FROM 
        demo_temp b
    LEFT JOIN
      (SELECT
          user_id,
          min(login_time) first_day
       FROM demo_temp a
       group by 1) c
     on b.user_id = c.user_id
     order by 1,2) e
  order by 1,2) f
group by 1
order by 1

https://blog.csdn.net/joeyon1985/article/details/49022913

Hive _ 统计日活，留存等指标 设计与实现 指南

https://blog.csdn.net/u010003835/article/details/89212558

https://blog.csdn.net/MsSpark/article/details/86727058   阿里云

https://www.sogou.com/link?url=hedJjaC291OB0PrGj_c3jJzmXqp0xreS5db_orznGCwicbqryMhLhibc-iPH6wf8XRWodySSjrZ5gPVahMZ6-A..