推广 热搜:   公司  快速  企业  中国  设备    上海  行业  未来 

【业务数据分析】——十大常用数据分析方法

   日期:2024-11-09     移动:http://dfvalve.xrbh.cn/mobile/quote/7073.html
您好!根据您提供的用户行为表,以下是用SQL计算产品漏斗数据的示例代码:

【业务数据分析】——十大常用数据分析方法

1. 计算每个步骤的用户留存量和留存率: ```sql -- 点击下单按钮(click_order_button) 的用户留存量和留存率 SELECt COUNT(DISTINCT device_id) AS retention_count, COUNT(DISTINCT device_id) / COUNT(DISTINCT device_id) OVER () AS retention_rate FROM dwd_user_behavior WHERe action_id = 'click_order_button'; -- 打开提交订单页 (open_submit_order_page) 的用户留存量和留存率 SELECt COUNT(DISTINCT device_id) AS retention_count, COUNT(DISTINCT device_id) / COUNT(DISTINCT device_id) OVER () AS retention_rate FROM dwd_user_behavior WHERe action_id = 'open_submit_order_page'; -- 点击提交订单按钮(click_submit_order_button) 的用户留存量和留存率 SELECt COUNT(DISTINCT device_id) AS retention_count, COUNT(DISTINCT device_id) / COUNT(DISTINCT device_id) OVER () AS retention_rate FROM dwd_user_behavior WHERe action_id = 'click_submit_order_button'; -- 打开支付页(open_payment_page) 的用户留存量和留存率 SELECt COUNT(DISTINCT device_id) AS retention_count, COUNT(DISTINCT device_id) / COUNT(DISTINCT device_id) OVER () AS retention_rate FROM dwd_user_behavior WHERe action_id = 'open_payment_page'; -- 点击确认支付(click_/confirm/i_payment) 的用户留存量和留存率 SELECt COUNT(DISTINCT device_id) AS retention_count, COUNT(DISTINCT device_id) / COUNT(DISTINCT device_id) OVER () AS retention_rate FROM dwd_user_behavior WHERe action_id = 'click_/confirm/i_payment'; -- 跳转支付成功页面(open_payment_success_page) 的用户留存量和留存率 SELECt COUNT(DISTINCT device_id) AS retention_count, COUNT(DISTINCT device_id) / COUNT(DISTINCT device_id) OVER () AS retention_rate FROM dwd_user_behavior WHERe action_id = 'open_payment_success_page'; ``` 2. 计算每个步骤间的用户平均停留时间: ```sql -- 点击下单按钮(click_order_button) 到打开提交订单页(open_submit_order_page) 的平均停留时间 SELECt AVG(DATEDIFF(action_time, LAG(action_time) OVER (ORDER BY action_time)) AS average_stay_time FROM dwd_user_behavior WHERe action_id IN ('click_order_button', 'open_submit_order_page'); -- 打开提交订单页(open_submit_order_page) 到点击提交订单按钮(click_submit_order_button) 的平均停留时间 SELECt AVG(DATEDIFF(action_time, LAG(action_time) OVER (ORDER BY action_time)) AS average_stay_time FROM dwd_user_behavior WHERe action_id IN ('open_submit_order_page', 'click_submit_order_button'); -- 点击提交订单按钮(click_submit_order_button) 到打开支付页(open_payment_page) 的平均停留时间 SELECt AVG(DATEDIFF(action_time, LAG(action_time) OVER (ORDER BY action_time)) AS average_stay_time FROM dwd_user_behavior WHERe action_id IN ('click_submit_order_button', 'open_payment_page'); -- 打开支付页(open_payment_page) 到点击确认支付(click_/confirm/i_payment) 的平均停留时间 SELECt AVG(DATEDIFF(action_time, LAG(action_time) OVER (ORDER BY action_time)) AS average_stay_time FROM dwd_user_behavior WHERe action_id IN ('open_payment_page', 'click_/confirm/i_payment'); -- 点击确认支付(click_/confirm/i_payment) 到跳转支付成功页面(open_payment_success_page) 的平均停留时间 SELECt AVG(DATEDIFF(action_time, LAG(action_time) OVER (ORDER BY action_time)) AS average_stay_time FROM dwd_user_behavior WHERe action_id IN ('click_/confirm/i_payment', 'open_payment_success_page'); ``` 本文地址:http://dfvalve.xrbh.cn/quote/7073.html    迅博思语资讯 http://dfvalve.xrbh.cn/ , 查看更多

特别提示:本信息由相关企业自行提供,真实性未证实,仅供参考。请谨慎采用,风险自负。


相关行业动态
推荐行业动态
点击排行
网站首页  |  关于我们  |  联系方式  |  使用协议  |  版权隐私  |  网站地图  |  排名推广  |  广告服务  |  积分换礼  |  网站留言  |  RSS订阅  |  违规举报  |  粤ICP备2023022329号