分析跑数口径与表内在关系逻辑

Posted 2021-02-09 sakura3

#控奶新客：T-14至T-7内购买大于等于1，且T-14至T-194（最远到7月）未购控奶
#T为1月13日;
DELETE
FROM
    `0114-0120控奶新客`;

#写入会员基本信息
INSERT INTO `0114-0120控奶新客` (
    门店ID,
    门店,
    会员姓名,
    手机号码,
    控奶首购时间
) SELECT
    *
FROM
    (
        SELECT
            a.salesdepart_id AS 门店ID,
            b.`name` AS 门店,
            c.`name` AS 会员姓名,
            c.mobile AS 手机号码,
            MIN(d.create_date) AS `控奶首购时间`
        FROM
            arm_changsha.goods_sales AS a
        LEFT JOIN arm_changsha.sys_office AS b ON b.id = a.salesdepart_id
        LEFT JOIN arm_changsha.ms_member_def AS c ON c.id = a.member_id
        LEFT JOIN arm_changsha.goods_sales_detail AS d ON d.sales_id = a.id
        LEFT JOIN arm_changsha.goods_base AS e ON e.id = d.goods_id
        WHERE
            a.sales_type = ‘1‘
        AND d.barcode IN (
            SELECT
                条码
            FROM
                `tmp_通货`
            WHERE
                商品标签 = ‘非通货‘
            AND 大类 LIKE ‘01%‘
        )
        AND c.mobile NOT IN (
            SELECT
                mobile
            FROM
                `7~9月英克系统消费客户统计`
        )
        AND c.mobile IS NOT NULL
        GROUP BY
            c.mobile
    ) AS L
WHERE
    `控奶首购时间` >= ‘2018-12-31 00:00:00‘
AND `控奶首购时间` <= ‘2019-01-06 23:59:59‘;

#写入首购购买数量
UPDATE `0114-0120控奶新客` AS a
SET a.`控奶首购数量` = (
    SELECT
        sum(b.sales_number) AS 购买数量
    FROM
        arm_changsha.goods_sales_detail AS b
    LEFT JOIN arm_changsha.goods_sales AS d ON d.id = b.sales_id
    LEFT JOIN arm_changsha.ms_member_def AS c ON c.id = d.member_id
    LEFT JOIN arm_changsha.goods_base AS e ON e.id = b.goods_id
    WHERE
        c.mobile = a.手机号码
    AND b.create_date = a.控奶首购时间
    AND e.kind_id LIKE ‘01%‘
    AND d.sales_type = ‘1‘
    AND b.barcode IN (
        SELECT
            条码
        FROM
            `tmp_通货`
        WHERE
            商品标签 = ‘非通货‘
        AND 大类 LIKE ‘01%‘
    )
);

#写入T+7控货奶粉购买数量
UPDATE `0114-0120控奶新客` AS a
SET a.`T+7控奶购买数量` = (
    SELECT
        sum(b.sales_number) AS 购买数量
    FROM
        arm_changsha.goods_sales_detail AS b
    LEFT JOIN arm_changsha.goods_sales AS d ON d.id = b.sales_id
    LEFT JOIN arm_changsha.ms_member_def AS c ON c.id = d.member_id
    WHERE
        c.mobile = a.手机号码
    AND b.create_date >= ‘2019-01-21 00:00:00‘
    AND b.create_date <= ‘2019-01-27 23:59:59‘
    AND d.sales_type = ‘1‘
    AND b.barcode IN (
        SELECT
            条码
        FROM
            `tmp_通货`
        WHERE
            商品标签 = ‘非通货‘
        AND 大类 LIKE ‘01%‘
    )
);

#写入T+7复购金额
UPDATE `0114-0120控奶新客` AS a
SET a.`T+7复购金额` = (
    SELECT
        ROUND(SUM(b.real_pay) / 10000, 2) AS 累计消费金额
    FROM
        arm_changsha.goods_sales AS b
    LEFT JOIN arm_changsha.ms_member_def AS c ON c.id = b.member_id
    WHERE
        c.mobile = a.手机号码
    AND b.create_date >= ‘2019-01-21 00:00:00‘
    AND b.create_date <= ‘2019-01-27 23:59:59‘
    AND b.sales_type = ‘1‘
    GROUP BY
        b.member_id
);

#写入T+7购买次数
UPDATE `0114-0120控奶新客` AS a
SET a.`T+7小票数` = (
    SELECT
        COUNT(DISTINCT b.sales_id)
    FROM
        arm_changsha.goods_sales_detail AS b
    LEFT JOIN arm_changsha.goods_sales AS d ON d.id = b.sales_id
    LEFT JOIN arm_changsha.ms_member_def AS c ON c.id = d.member_id
    WHERE
        c.mobile = a.手机号码
    AND b.create_date >= ‘2019-01-21 00:00:00‘
    AND b.create_date <= ‘2019-01-27 23:59:59‘
    AND d.sales_type = ‘1‘
);

#写入近90日充值金额
UPDATE `0114-0120控奶新客` AS a
SET a.`近90日充值金额` = (
    SELECT
        ROUND(
            sum(b.use_recharge_balance) / 10000,
            2
        ) AS 充值金额
    FROM
        arm_changsha.ms_member_card_log AS b
    LEFT JOIN arm_changsha.ms_member_def AS c ON c.id = b.member_id
    LEFT JOIN arm_changsha.ms_acct_book_def AS d ON d.member_id = b.member_id
    WHERE
        c.mobile = a.手机号码
    AND d.acct_id IS NOT NULL
    AND b.oper_type IN (‘4‘, ‘7‘, ‘8‘)
    AND b.create_date >= ‘2018-10-16 00:00:00‘
    AND b.create_date <= ‘2019-01-13 23:59:59‘
);

#写入近90天控货奶粉购买数量
UPDATE `0114-0120控奶新客` AS a
SET a.`近90日控奶购买数量` = (
    SELECT
        sum(b.sales_number) AS 购买数量
    FROM
        arm_changsha.goods_sales_detail AS b
    LEFT JOIN arm_changsha.goods_sales AS d ON d.id = b.sales_id
    LEFT JOIN arm_changsha.ms_member_def AS c ON c.id = d.member_id
    WHERE
        c.mobile = a.手机号码
    AND b.create_date >= ‘2018-10-16 00:00:00‘
    AND b.create_date <= ‘2019-01-13 23:59:59‘
    AND d.sales_type = ‘1‘
    AND b.barcode IN (
        SELECT
            条码
        FROM
            `tmp_通货`
        WHERE
            商品标签 = ‘非通货‘
        AND 大类 LIKE ‘01%‘
    )
);

#判断是否运营门店
UPDATE `0114-0120控奶新客` AS a
SET a.`是否运营门店` = CASE
WHEN a.门店ID IN (
    ‘1008‘,
    ‘1016‘,
    ‘1025‘,
    ‘1026‘
) THEN
    ‘是‘
ELSE
    ‘否‘
END;

#判断是否稳定
UPDATE `0114-0120控奶新客` AS a
SET a.`是否稳定` = CASE
WHEN a.近90日控奶购买数量 >= ‘4‘
OR a.近90日充值金额 >= ‘500‘ THEN
    ‘是‘
ELSE
    ‘否‘
END;

 

1.  为什么以销售流水goods-sales ，作为主表

　　　　答：业务原因有两个。

1. 1. 1. 客户分两种，有购客户，注册客户。 会员信息表里有一些街上做活动的注册客户，从来没有买过东西。这样无法有效的观测。
      2. 门店信息，原来华创的ERP。春演的时候，别的门店店员过来帮忙。注册的门店既不能算本门店，也不可能算原来门店。所以为空　　　　　　　　　　　

　　　　　　就算不考虑这些业务原因，也要如此去做。

　　　　　　分析的自然是销售流水，不可能以主表为门店或者会员。都是不符合设计逻辑的