雪花客户保留率

Question

我有这个客户保留率公式，但有点难以将其转换为雪花中的 sql 代码：

客户保留率：过去和[过去 30 天]期间购买的客户数量/过去[不包括过去 30 天]购买的客户数量

Answer 1

如果我们检查每个客户是否有“旧销售”和“新销售”

select customer_id, min(date) as min_date, max(date) as max_date, min_date < (current_date()-30) as old_sales, max_date >= (current_date()-30) as new_sales
from values
    (1,'2022-05-01'),
    (2,'2022-05-01'),
    (2,'2022-04-01'),
    (3,'2022-04-01'),
    (4,'2022-04-01'),
    (4,'2022-03-01')
    t(customer_id, date)
group by 1

我们得到：

CUSTOMER_ID	MIN_DATE	MAX_DATE	OLD_SALES	NEW_SALES
1	2022-05-01	2022-05-01	FALSE	TRUE
2	2022-04-01	2022-05-01	TRUE	TRUE
3	2022-04-01	2022-04-01	TRUE	FALSE
4	2022-03-01	2022-04-01	TRUE	FALSE

然后我们想把顶部都算为真，把底部都算为 trop/false，我们可以使用：

select count_if(old_sales and new_sales) as top
    ,count_if(old_sales and  new_sales=false) as bottom
    ,div0(top, bottom) as rention
from (
    select customer_id, min(date) as min_date, max(date) as max_date, min_date < (current_date()-30) as old_sales, max_date >= (current_date()-30) as new_sales
    from values
        (1,'2022-05-01'),
        (2,'2022-05-01'),
        (2,'2022-04-01'),
        (3,'2022-04-01'),
        (4,'2022-04-01'),
        (4,'2022-03-01')
        t(customer_id, date)
    group by 1
);

并得到：

TOP	BOTTOM	RENTION
1	2	0.5

因此以 data_table 作为我们的来源，我们可以使用：

select div0(count_if(old_sales and new_sales), count_if(old_sales and  new_sales=false)) as rention
from (
    select 
        min(date) < (current_date()-30) as old_sales, 
        max(date) >= (current_date()-30) as new_sales
    from data_table
    group by customer_id
);

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雪花客户保留率

Customer retention rate in snowflake

sql

statistics

snowflake-cloud-data-platform

analysis