{"id":457874,"date":"2025-04-29T09:10:27","date_gmt":"2025-04-29T09:10:27","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=457874"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=457874","title":{"rendered":"<span>\u041a\u043e\u0433\u043e\u0440\u0442\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437, LTV \u0438 RFM \u0432 SQL: \u043a\u043e\u0440\u043e\u0442\u043a\u043e \u0434\u043b\u044f \u043d\u043e\u0432\u0438\u0447\u043a\u043e\u0432<\/span>"},"content":{"rendered":"<div><!--[--><!--]--><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<p>\u041f\u0440\u0438\u0432\u0435\u0442, \u0425\u0430\u0431\u0440!<\/p>\n<p>\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c, \u043a\u0430\u043a\u00a0\u043d\u0430\u00a0\u0433\u043e\u043b\u043e\u043c SQL \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u0433\u043e\u0440\u0442\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437: \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u043c \u0434\u0430\u0442\u0443 \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u043e\u043a\u0443\u043f\u043a\u0438, \u0441\u0433\u0440\u0443\u043f\u043f\u0438\u0440\u0443\u0435\u043c \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u043f\u043e\u00a0\u043a\u043e\u0433\u043e\u0440\u0442\u0430\u043c, \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0435\u043c \u0443\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 (retention), \u043e\u0446\u0435\u043d\u0438\u043c LTV \u043f\u043e\u00a0\u043c\u0435\u0441\u044f\u0446\u0430\u043c \u0436\u0438\u0437\u043d\u0438 \u0438 \u0441\u0434\u0435\u043b\u0430\u0435\u043c RFM\u2011\u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e.<\/p>\n<h3>\u0418\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435<\/h3>\n<p>\u0422\u0430\u0431\u043b\u0438\u0446\u0430 <code>orders<\/code>, \u043e\u043d\u0430\u00a0\u0436\u0435 \u0431\u043e\u0435\u0432\u043e\u0439 \u043b\u043e\u0433 \u043f\u043e\u043a\u0443\u043f\u043e\u043a:<\/p>\n<pre><code class=\"sql\">CREATE TABLE orders (     order_id SERIAL PRIMARY KEY,     user_id INTEGER NOT NULL,     order_date DATE NOT NULL,     amount NUMERIC NOT NULL );<\/code><\/pre>\n<p>\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435:<\/p>\n<pre><code>| user_id | order_date | amount | |---------|------------|--------| | 1       | 2024-01-10 | 200    | | 1       | 2024-02-05 | 150    | | 2       | 2024-01-15 | 300    | | 3       | 2024-02-10 | 120    | | 3       | 2024-04-10 | 80     |<\/code><\/pre>\n<h3>\u041f\u0435\u0440\u0432\u0430\u044f \u043f\u043e\u043a\u0443\u043f\u043a\u0430<\/h3>\n<p>\u041e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u043c, \u043a\u043e\u0433\u0434\u0430 \u044e\u0437\u0435\u0440 \u0432\u043f\u0435\u0440\u0432\u044b\u0435 \u00ab\u0437\u0430\u0441\u0432\u0435\u0442\u0438\u043b\u0441\u044f\u00bb:<\/p>\n<pre><code class=\"sql\">SELECT   user_id,   MIN(order_date) AS first_order_date FROM orders GROUP BY user_id;<\/code><\/pre>\n<p>\u0411\u043e\u043b\u0435\u0435 \u0433\u0438\u0431\u043a\u043e\u00a0\u2014 \u0441\u00a0\u043e\u043a\u043e\u043d\u043d\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0435\u0439:<\/p>\n<pre><code class=\"sql\">SELECT   user_id,   order_date,   MIN(order_date) OVER (PARTITION BY user_id) AS first_order_date FROM orders;<\/code><\/pre>\n<p>\u0422\u0430\u043a \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 \u0441\u00a0\u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435\u043c \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u043e\u043a\u0443\u043f\u043a\u0438.<\/p>\n<h3>\u041f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u043a\u043e\u0433\u043e\u0440\u0442<\/h3>\n<p>\u041a\u043e\u0433\u043e\u0440\u0442\u0430\u00a0\u2014 \u044d\u0442\u043e \u0433\u0440\u0443\u043f\u043f\u0430 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439, \u043f\u0440\u0438\u0448\u0435\u0434\u0448\u0438\u0445 \u0432\u00a0\u043e\u0434\u0438\u043d \u043f\u0435\u0440\u0438\u043e\u0434. \u041e\u0431\u044b\u0447\u043d\u043e\u00a0\u2014 \u043c\u0435\u0441\u044f\u0446 \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u043e\u043a\u0443\u043f\u043a\u0438.<\/p>\n<pre><code class=\"sql\">SELECT   user_id,   DATE_TRUNC('month', MIN(order_date)) AS cohort_month FROM orders GROUP BY user_id; <\/code><\/pre>\n<p>\u0421\u043e\u0435\u0434\u0438\u043d\u044f\u0435\u043c \u0441\u00a0\u0437\u0430\u043a\u0430\u0437\u0430\u043c\u0438:<\/p>\n<pre><code class=\"sql\">WITH first_orders AS (   SELECT user_id, MIN(order_date) AS first_order_date   FROM orders   GROUP BY user_id ) SELECT   o.user_id,   o.order_date,   DATE_TRUNC('month', f.first_order_date) AS cohort_month FROM orders o JOIN first_orders f ON o.user_id = f.user_id;<\/code><\/pre>\n<p>\u0422\u0435\u043f\u0435\u0440\u044c \u0443\u00a0\u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0437\u0430\u043a\u0430\u0437\u0430 \u0435\u0441\u0442\u044c \u043a\u043e\u0433\u043e\u0440\u0442\u0430.<\/p>\n<h3>\u0423\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 \u043f\u043e \u043c\u0435\u0441\u044f\u0446\u0430\u043c<\/h3>\n<p>\u0426\u0435\u043b\u044c: \u043f\u043e\u043d\u044f\u0442\u044c, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u044e\u0437\u0435\u0440\u043e\u0432 \u0438\u0437\u00a0\u043a\u043e\u0433\u043e\u0440\u0442\u044b \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u044e\u0442 \u0434\u0435\u043b\u0430\u0442\u044c \u0437\u0430\u043a\u0430\u0437\u044b \u0447\u0435\u0440\u0435\u0437 0, 1, 2&#8230; \u043c\u0435\u0441\u044f\u0446\u0435\u0432.<\/p>\n<pre><code class=\"sql\">WITH first_orders AS (   SELECT user_id, MIN(order_date) AS first_order_date   FROM orders   GROUP BY user_id ), orders_with_cohort AS (   SELECT     o.user_id,     DATE_TRUNC('month', o.order_date) AS order_month,     DATE_TRUNC('month', f.first_order_date) AS cohort_month,     EXTRACT(MONTH FROM AGE(o.order_date, f.first_order_date)) AS month_offset   FROM orders o   JOIN first_orders f ON o.user_id = f.user_id ) SELECT   cohort_month,   month_offset,   COUNT(DISTINCT user_id) AS active_users FROM orders_with_cohort GROUP BY cohort_month, month_offset ORDER BY cohort_month, month_offset;<\/code><\/pre>\n<pre><code>| cohort_month | month_offset | active_users | |--------------|--------------|---------------| | 2024-01-01   | 0            | 125           | | 2024-01-01   | 1            | 97            | | 2024-01-01   | 2            | 65            |<\/code><\/pre>\n<p>\u0415\u0441\u043b\u0438 \u0445\u043e\u0447\u0435\u0442\u0441\u044f \u0434\u043e\u043b\u0438, \u0430\u00a0\u043d\u0435\u00a0\u0430\u0431\u0441\u043e\u043b\u044e\u0442\u044b\u00a0\u2014 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0435\u043c <code>COUNT(*) OVER (PARTITION BY cohort_month)<\/code>.<\/p>\n<h3>Edge-\u043a\u0435\u0439\u0441\u044b<\/h3>\n<ul>\n<li>\n<p><strong>\u041f\u0440\u044b\u0433\u0430\u044e\u0449\u0438\u0439 timezone<\/strong>: \u0432\u0441\u0435\u0433\u0434\u0430 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 <code>DATE_TRUNC('month', order_date::date)<\/code> \u0438 \u0443\u0431\u0438\u0432\u0430\u0439\u0442\u0435 <code>TIMESTAMP WITH TIME ZONE<\/code>, \u0435\u0441\u043b\u0438 \u043e\u043d \u043d\u0435\u00a0\u043d\u0443\u0436\u0435\u043d.<\/p>\n<\/li>\n<li>\n<p><strong>\u041d\u0443\u043b\u0435\u0432\u0430\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u0432\u00a0\u043c\u0435\u0441\u044f\u0446\u0430\u0445<\/strong>: <code>AGE<\/code> \u043c\u043e\u0436\u0435\u0442 \u0432\u0435\u0440\u043d\u0443\u0442\u044c <code>0<\/code> \u0434\u0430\u0436\u0435 \u0435\u0441\u043b\u0438 \u043f\u0440\u043e\u0448\u043b\u043e 29\u00a0\u0434\u043d\u0435\u0439. \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e\u00a0\u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u0435 \u0443\u0441\u0442\u0440\u043e\u0438\u0442 \u0432\u0430\u0441.<\/p>\n<\/li>\n<li>\n<p><strong>\u041f\u043e\u0432\u0442\u043e\u0440\u043d\u044b\u0435 \u0440\u0435\u0433\u0438\u0441\u0442\u0440\u0430\u0446\u0438\u0438<\/strong>: \u0435\u0441\u043b\u0438 \u044e\u0437\u0435\u0440 \u0441\u043c\u0435\u043d\u0438\u043b ID \u0438\u043b\u0438\u00a0\u043d\u0430\u0447\u0430\u043b \u0441\u00a0\u043d\u043e\u0432\u043e\u0433\u043e email\u00a0\u2014 \u0435\u0433\u043e \u0438\u0441\u0442\u043e\u0440\u0438\u044f \u043e\u0431\u043d\u0443\u043b\u0438\u0442\u0441\u044f. \u0412\u00a0\u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0435 \u044d\u0442\u043e \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435 \u043f\u043e\u0442\u0435\u0440\u0438, \u043d\u043e\u00a0\u0432\u00a0\u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 B2B \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0445 \u0441\u0442\u043e\u0438\u0442 \u0438\u0445 \u0443\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u044c.<\/p>\n<\/li>\n<\/ul>\n<h3>LTV \u043f\u043e \u043a\u043e\u0433\u043e\u0440\u0442\u0430\u043c<\/h3>\n<p>Lifetime Value\u00a0\u2014 \u044d\u0442\u043e \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0434\u0435\u043d\u0435\u0433 \u043f\u0440\u0438\u043d\u0451\u0441 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c \u0437\u0430\u00a0\u0432\u0441\u0451 \u0432\u0440\u0435\u043c\u044f. \u0414\u043b\u044f\u00a0\u043a\u043e\u0433\u043e\u0440\u0442:<\/p>\n<pre><code class=\"sql\">WITH first_orders AS (     SELECT user_id, MIN(order_date) AS first_order_date     FROM orders     GROUP BY user_id ), orders_with_cohort AS (     SELECT         o.user_id,         o.amount,         DATE_TRUNC('month', f.first_order_date) AS cohort_month,         EXTRACT(MONTH FROM AGE(o.order_date, f.first_order_date)) AS month_offset     FROM orders o     JOIN first_orders f ON o.user_id = f.user_id ) SELECT     cohort_month,     month_offset,     ROUND(SUM(amount), 2) AS total_ltv FROM orders_with_cohort GROUP BY cohort_month, month_offset ORDER BY cohort_month, month_offset;<\/code><\/pre>\n<p>\u0422\u0435\u043f\u0435\u0440\u044c \u0435\u0441\u0442\u044c LTV \u0432\u00a0\u0434\u0438\u043d\u0430\u043c\u0438\u043a\u0435. \u041c\u043e\u0436\u043d\u043e \u043f\u0440\u0435\u0432\u0440\u0430\u0442\u0438\u0442\u044c \u044d\u0442\u043e \u0432\u00a0\u043a\u0443\u043c\u0443\u043b\u044f\u0442\u0438\u0432\u043d\u0443\u044e \u043c\u0435\u0442\u0440\u0438\u043a\u0443\u00a0\u2014 \u0434\u043e\u0431\u0430\u0432\u0438\u0432 <code>SUM() OVER (...)<\/code>.<\/p>\n<h3>RFM-\u0430\u043d\u0430\u043b\u0438\u0437 \u0441 \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0435\u0439<\/h3>\n<p>\u0421\u0447\u0438\u0442\u0430\u0435\u043c \u043c\u0435\u0442\u0440\u0438\u043a\u0438:<\/p>\n<pre><code class=\"sql\">WITH rfm_base AS (   SELECT     user_id,     MAX(order_date) AS last_order_date,     COUNT(*) AS frequency,     SUM(amount) AS monetary   FROM orders   GROUP BY user_id ) SELECT   user_id,   CURRENT_DATE - last_order_date AS recency,   frequency,   monetary FROM rfm_base;<\/code><\/pre>\n<p>\u0414\u0435\u043b\u0438\u043c \u043f\u043e\u00a0\u043a\u0432\u0430\u043d\u0442\u0438\u043b\u044f\u043c:<\/p>\n<pre><code class=\"sql\">WITH rfm_ranked AS (   SELECT *,     NTILE(5) OVER (ORDER BY CURRENT_DATE - last_order_date DESC) AS r_score,     NTILE(5) OVER (ORDER BY frequency) AS f_score,     NTILE(5) OVER (ORDER BY monetary) AS m_score   FROM (     SELECT       user_id,       MAX(order_date) AS last_order_date,       COUNT(*) AS frequency,       SUM(amount) AS monetary     FROM orders     GROUP BY user_id   ) base ) SELECT   user_id,   r_score || f_score || m_score AS rfm_segment,   r_score,   f_score,   m_score FROM rfm_ranked;<\/code><\/pre>\n<p><code>RFM_segment = \"555\"<\/code>\u00a0\u2014 \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u044b\u0439 \u044e\u0437\u0435\u0440: \u043d\u0435\u0434\u0430\u0432\u043d\u043e \u043f\u043e\u043a\u0443\u043f\u0430\u043b, \u043f\u043e\u043a\u0443\u043f\u0430\u0435\u0442 \u0447\u0430\u0441\u0442\u043e \u0438 \u043c\u043d\u043e\u0433\u043e \u0442\u0440\u0430\u0442\u0438\u0442.<\/p>\n<h3>\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430<\/h3>\n<p>\u0427\u0442\u043e\u0431\u044b \u0432\u0441\u0451 \u044d\u0442\u043e \u043d\u0435\u00a0\u043f\u0440\u0435\u0432\u0440\u0430\u0442\u0438\u043b\u043e\u0441\u044c \u0432\u00a0\u0445\u0430\u043e\u0442\u0438\u0447\u043d\u044b\u0439 \u0437\u043e\u043e\u043f\u0430\u0440\u043a SQL\u2011\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432, \u0441\u0442\u043e\u0438\u0442 \u0441\u0440\u0430\u0437\u0443 \u0432\u044b\u0434\u0435\u043b\u0438\u0442\u044c \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 CTE \u0432 <strong>materialized views<\/strong>\u00a0\u2014 \u044d\u0442\u043e \u0443\u0441\u043a\u043e\u0440\u0438\u0442 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u043e\u0442\u0447\u0451\u0442\u043e\u0432 \u0438 \u0443\u043f\u0440\u043e\u0441\u0442\u0438\u0442 \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u044e \u0441\u00a0BI\u2011\u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u043c\u0438. \u041a\u0430\u043a\u00a0\u043c\u0438\u043d\u0438\u043c\u0443\u043c \u0441\u0442\u043e\u0438\u0442 \u0437\u0430\u0432\u0435\u0441\u0442\u0438 \u0442\u0440\u0438 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u044f: <code>user_first_order<\/code> (\u0434\u0430\u0442\u0430 \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u043e\u043a\u0443\u043f\u043a\u0438 \u043f\u043e\u00a0\u043a\u0430\u0436\u0434\u043e\u043c\u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044e), <code>orders_with_cohort<\/code> (\u0432\u0441\u0435 \u0437\u0430\u043a\u0430\u0437\u044b \u0441\u00a0\u043f\u0440\u0438\u043a\u0440\u0435\u043f\u043b\u0451\u043d\u043d\u043e\u0439 \u043a\u043e\u0433\u043e\u0440\u0442\u043e\u0439 \u0438 \u0441\u043c\u0435\u0449\u0435\u043d\u0438\u0435\u043c \u043f\u043e\u00a0\u0432\u0440\u0435\u043c\u0435\u043d\u0438) \u0438 <code>rfm_scores<\/code> (\u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 RFM\u2011\u0430\u043d\u0430\u043b\u0438\u0437 \u0441\u00a0\u043a\u0432\u0430\u043d\u0442\u0438\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0435\u0439).<\/p>\n<p>\u0414\u0430\u043b\u044c\u0448\u0435\u00a0\u2014 \u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d: \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u044d\u0442\u0438\u0445 <code>materialized views<\/code> \u043f\u043e\u00a0\u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0447\u0435\u0440\u0435\u0437 Airflow \u0438\u043b\u0438\u00a0Dagster (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0440\u0430\u0437 \u0432\u00a0\u0441\u0443\u0442\u043a\u0438), \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0432\u00a0Metabase \u0438\u043b\u0438\u00a0Superset, \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430 \u0430\u043b\u0435\u0440\u0442\u043e\u0432 \u043f\u043e\u00a0\u043e\u0441\u043d\u043e\u0432\u043d\u044b\u043c \u043c\u0435\u0442\u0440\u0438\u043a\u0430\u043c. \u0415\u0441\u043b\u0438 retention \u0443\u043f\u0430\u043b \u0438\u043b\u0438\u00a0LTV \u043f\u043e\u00a0\u043a\u0430\u043a\u043e\u0439\u2011\u0442\u043e \u043a\u043e\u0433\u043e\u0440\u0442\u0435 \u043f\u0440\u043e\u0441\u0435\u043b\u00a0\u2014 \u0432\u044b \u0441\u0440\u0430\u0437\u0443 \u044d\u0442\u043e \u0443\u0432\u0438\u0434\u0438\u0442\u0435. \u0422\u0430\u043a \u0438\u0437\u00a0\u043d\u0430\u0431\u043e\u0440\u0430 SQL\u2011\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0440\u043e\u0436\u0434\u0430\u0435\u0442\u0441\u044f \u0440\u0430\u0431\u043e\u0447\u0430\u044f \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u0430.<\/p>\n<hr\/>\n<h3>\u0417\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435<\/h3>\n<p>\u0427\u0442\u043e\u00a0\u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438:<\/p>\n<ul>\n<li>\n<p>\u041f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u044b\u0439 SQL\u2011\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d \u043a\u043e\u0433\u043e\u0440\u0442\u043d\u043e\u0433\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0430<\/p>\n<\/li>\n<li>\n<p>\u041c\u0435\u0442\u0440\u0438\u043a\u0438: Retention, LTV, RFM<\/p>\n<\/li>\n<li>\n<p>\u0421\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u0438 \u0433\u0440\u0443\u043f\u043f\u043e\u0432\u0430\u044f \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0430<\/p>\n<\/li>\n<li>\n<p>\u0420\u0430\u0437\u0431\u043e\u0440 edge\u2011\u043a\u0435\u0439\u0441\u043e\u0432 \u0438 \u043a\u0430\u043a\u00a0\u043d\u0435\u00a0\u0441\u0435\u0441\u0442\u044c \u0432\u00a0\u043b\u0443\u0436\u0443<\/p>\n<\/li>\n<\/ul>\n<p>\u0427\u0442\u043e\u00a0\u0434\u0430\u043b\u044c\u0448\u0435? \u041c\u043e\u0436\u043d\u043e \u043f\u043e\u0439\u0442\u0438 \u0432:<\/p>\n<ul>\n<li>\n<p>Product Analytics (\u043a\u043e\u043d\u0432\u0435\u0440\u0441\u0438\u044f, funnel&#8217;\u044b)<\/p>\n<\/li>\n<li>\n<p>Prediction (ML \u043d\u0430\u00a0\u043e\u0441\u043d\u043e\u0432\u0435 \u043a\u043e\u0433\u043e\u0440\u0442)<\/p>\n<\/li>\n<li>\n<p>Customer scoring (\u0447\u0435\u0440\u0435\u0437 RFM + external data)<\/p>\n<\/li>\n<\/ul>\n<hr\/>\n<p><em>\u0415\u0441\u043b\u0438 \u0432\u044b \u0437\u0430\u043d\u0438\u043c\u0430\u0435\u0442\u0435\u0441\u044c \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0441\u0438\u0441\u0442\u0435\u043c \u0438 \u0445\u043e\u0442\u0438\u0442\u0435 \u0438\u0437\u0431\u0435\u0436\u0430\u0442\u044c \u0442\u0438\u043f\u0438\u0447\u043d\u044b\u0445 \u043e\u0448\u0438\u0431\u043e\u043a \u043f\u0440\u0438 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0438 API, \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u044e \u043f\u043e\u0441\u0435\u0442\u0438\u0442\u044c \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u0443\u0440\u043e\u043a \u0432 Otus. \u041d\u0430 \u043d\u0451\u043c \u0432\u044b \u0441\u043c\u043e\u0436\u0435\u0442\u0435 \u0440\u0430\u0437\u043e\u0431\u0440\u0430\u0442\u044c, \u043a\u0430\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c REST API \u0441 \u0443\u0447\u0435\u0442\u043e\u043c \u0432\u0441\u0435\u0445 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0438 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0430\u0441\u043f\u0435\u043a\u0442\u043e\u0432. \u0423\u0440\u043e\u043a \u043f\u0440\u043e\u0439\u0434\u0435\u0442 \u0443\u0436\u0435 \u0441\u0435\u0433\u043e\u0434\u043d\u044f, 16 \u0430\u043f\u0440\u0435\u043b\u044f, \u0432 20:00. <\/em><a href=\"https:\/\/otus.pw\/KbrX\/\"><em>\u0417\u0430\u043f\u0438\u0441\u044c \u2014 \u043d\u0430 \u0441\u0442\u0440\u0430\u043d\u0438\u0446\u0435 \u043a\u0443\u0440\u0441\u0430<\/em><\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!----><!----><\/div>\n<p><!----><!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/articles\/901114\/\"> https:\/\/habr.com\/ru\/articles\/901114\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<div><!--[--><!--]--><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<p>\u041f\u0440\u0438\u0432\u0435\u0442, \u0425\u0430\u0431\u0440!<\/p>\n<p>\u0421\u0435\u0433\u043e\u0434\u043d\u044f \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c, \u043a\u0430\u043a\u00a0\u043d\u0430\u00a0\u0433\u043e\u043b\u043e\u043c SQL \u043f\u043e\u0441\u0442\u0440\u043e\u0438\u0442\u044c \u043f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u0433\u043e\u0440\u0442\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437: \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u043c \u0434\u0430\u0442\u0443 \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u043e\u043a\u0443\u043f\u043a\u0438, \u0441\u0433\u0440\u0443\u043f\u043f\u0438\u0440\u0443\u0435\u043c \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u043f\u043e\u00a0\u043a\u043e\u0433\u043e\u0440\u0442\u0430\u043c, \u043f\u043e\u0441\u0447\u0438\u0442\u0430\u0435\u043c \u0443\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 (retention), \u043e\u0446\u0435\u043d\u0438\u043c LTV \u043f\u043e\u00a0\u043c\u0435\u0441\u044f\u0446\u0430\u043c \u0436\u0438\u0437\u043d\u0438 \u0438 \u0441\u0434\u0435\u043b\u0430\u0435\u043c RFM\u2011\u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044e.<\/p>\n<h3>\u0418\u0441\u0445\u043e\u0434\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435<\/h3>\n<p>\u0422\u0430\u0431\u043b\u0438\u0446\u0430 <code>orders<\/code>, \u043e\u043d\u0430\u00a0\u0436\u0435 \u0431\u043e\u0435\u0432\u043e\u0439 \u043b\u043e\u0433 \u043f\u043e\u043a\u0443\u043f\u043e\u043a:<\/p>\n<pre><code class=\"sql\">CREATE TABLE orders (     order_id SERIAL PRIMARY KEY,     user_id INTEGER NOT NULL,     order_date DATE NOT NULL,     amount NUMERIC NOT NULL );<\/code><\/pre>\n<p>\u041f\u0440\u0438\u043c\u0435\u0440\u043d\u044b\u0435 \u0434\u0430\u043d\u043d\u044b\u0435:<\/p>\n<pre><code>| user_id | order_date | amount | |---------|------------|--------| | 1       | 2024-01-10 | 200    | | 1       | 2024-02-05 | 150    | | 2       | 2024-01-15 | 300    | | 3       | 2024-02-10 | 120    | | 3       | 2024-04-10 | 80     |<\/code><\/pre>\n<h3>\u041f\u0435\u0440\u0432\u0430\u044f \u043f\u043e\u043a\u0443\u043f\u043a\u0430<\/h3>\n<p>\u041e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u043c, \u043a\u043e\u0433\u0434\u0430 \u044e\u0437\u0435\u0440 \u0432\u043f\u0435\u0440\u0432\u044b\u0435 \u00ab\u0437\u0430\u0441\u0432\u0435\u0442\u0438\u043b\u0441\u044f\u00bb:<\/p>\n<pre><code class=\"sql\">SELECT   user_id,   MIN(order_date) AS first_order_date FROM orders GROUP BY user_id;<\/code><\/pre>\n<p>\u0411\u043e\u043b\u0435\u0435 \u0433\u0438\u0431\u043a\u043e\u00a0\u2014 \u0441\u00a0\u043e\u043a\u043e\u043d\u043d\u043e\u0439 \u0444\u0443\u043d\u043a\u0446\u0438\u0435\u0439:<\/p>\n<pre><code class=\"sql\">SELECT   user_id,   order_date,   MIN(order_date) OVER (PARTITION BY user_id) AS first_order_date FROM orders;<\/code><\/pre>\n<p>\u0422\u0430\u043a \u043c\u043e\u0436\u043d\u043e \u043f\u043e\u043b\u0443\u0447\u0438\u0442\u044c \u0432\u0441\u0435 \u0441\u0442\u0440\u043e\u043a\u0438 \u0441\u00a0\u0441\u043e\u0445\u0440\u0430\u043d\u0435\u043d\u0438\u0435\u043c \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u043e\u043a\u0443\u043f\u043a\u0438.<\/p>\n<h3>\u041f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u043a\u043e\u0433\u043e\u0440\u0442<\/h3>\n<p>\u041a\u043e\u0433\u043e\u0440\u0442\u0430\u00a0\u2014 \u044d\u0442\u043e \u0433\u0440\u0443\u043f\u043f\u0430 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439, \u043f\u0440\u0438\u0448\u0435\u0434\u0448\u0438\u0445 \u0432\u00a0\u043e\u0434\u0438\u043d \u043f\u0435\u0440\u0438\u043e\u0434. \u041e\u0431\u044b\u0447\u043d\u043e\u00a0\u2014 \u043c\u0435\u0441\u044f\u0446 \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u043e\u043a\u0443\u043f\u043a\u0438.<\/p>\n<pre><code class=\"sql\">SELECT   user_id,   DATE_TRUNC('month', MIN(order_date)) AS cohort_month FROM orders GROUP BY user_id; <\/code><\/pre>\n<p>\u0421\u043e\u0435\u0434\u0438\u043d\u044f\u0435\u043c \u0441\u00a0\u0437\u0430\u043a\u0430\u0437\u0430\u043c\u0438:<\/p>\n<pre><code class=\"sql\">WITH first_orders AS (   SELECT user_id, MIN(order_date) AS first_order_date   FROM orders   GROUP BY user_id ) SELECT   o.user_id,   o.order_date,   DATE_TRUNC('month', f.first_order_date) AS cohort_month FROM orders o JOIN first_orders f ON o.user_id = f.user_id;<\/code><\/pre>\n<p>\u0422\u0435\u043f\u0435\u0440\u044c \u0443\u00a0\u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0437\u0430\u043a\u0430\u0437\u0430 \u0435\u0441\u0442\u044c \u043a\u043e\u0433\u043e\u0440\u0442\u0430.<\/p>\n<h3>\u0423\u0434\u0435\u0440\u0436\u0430\u043d\u0438\u0435 \u043f\u043e \u043c\u0435\u0441\u044f\u0446\u0430\u043c<\/h3>\n<p>\u0426\u0435\u043b\u044c: \u043f\u043e\u043d\u044f\u0442\u044c, \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u044e\u0437\u0435\u0440\u043e\u0432 \u0438\u0437\u00a0\u043a\u043e\u0433\u043e\u0440\u0442\u044b \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u044e\u0442 \u0434\u0435\u043b\u0430\u0442\u044c \u0437\u0430\u043a\u0430\u0437\u044b \u0447\u0435\u0440\u0435\u0437 0, 1, 2&#8230; \u043c\u0435\u0441\u044f\u0446\u0435\u0432.<\/p>\n<pre><code class=\"sql\">WITH first_orders AS (   SELECT user_id, MIN(order_date) AS first_order_date   FROM orders   GROUP BY user_id ), orders_with_cohort AS (   SELECT     o.user_id,     DATE_TRUNC('month', o.order_date) AS order_month,     DATE_TRUNC('month', f.first_order_date) AS cohort_month,     EXTRACT(MONTH FROM AGE(o.order_date, f.first_order_date)) AS month_offset   FROM orders o   JOIN first_orders f ON o.user_id = f.user_id ) SELECT   cohort_month,   month_offset,   COUNT(DISTINCT user_id) AS active_users FROM orders_with_cohort GROUP BY cohort_month, month_offset ORDER BY cohort_month, month_offset;<\/code><\/pre>\n<pre><code>| cohort_month | month_offset | active_users | |--------------|--------------|---------------| | 2024-01-01   | 0            | 125           | | 2024-01-01   | 1            | 97            | | 2024-01-01   | 2            | 65            |<\/code><\/pre>\n<p>\u0415\u0441\u043b\u0438 \u0445\u043e\u0447\u0435\u0442\u0441\u044f \u0434\u043e\u043b\u0438, \u0430\u00a0\u043d\u0435\u00a0\u0430\u0431\u0441\u043e\u043b\u044e\u0442\u044b\u00a0\u2014 \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0435\u043c <code>COUNT(*) OVER (PARTITION BY cohort_month)<\/code>.<\/p>\n<h3>Edge-\u043a\u0435\u0439\u0441\u044b<\/h3>\n<ul>\n<li>\n<p><strong>\u041f\u0440\u044b\u0433\u0430\u044e\u0449\u0438\u0439 timezone<\/strong>: \u0432\u0441\u0435\u0433\u0434\u0430 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0439\u0442\u0435 <code>DATE_TRUNC('month', order_date::date)<\/code> \u0438 \u0443\u0431\u0438\u0432\u0430\u0439\u0442\u0435 <code>TIMESTAMP WITH TIME ZONE<\/code>, \u0435\u0441\u043b\u0438 \u043e\u043d \u043d\u0435\u00a0\u043d\u0443\u0436\u0435\u043d.<\/p>\n<\/li>\n<li>\n<p><strong>\u041d\u0443\u043b\u0435\u0432\u0430\u044f \u0440\u0430\u0437\u043d\u0438\u0446\u0430 \u0432\u00a0\u043c\u0435\u0441\u044f\u0446\u0430\u0445<\/strong>: <code>AGE<\/code> \u043c\u043e\u0436\u0435\u0442 \u0432\u0435\u0440\u043d\u0443\u0442\u044c <code>0<\/code> \u0434\u0430\u0436\u0435 \u0435\u0441\u043b\u0438 \u043f\u0440\u043e\u0448\u043b\u043e 29\u00a0\u0434\u043d\u0435\u0439. \u0423\u0431\u0435\u0434\u0438\u0442\u0435\u0441\u044c, \u0447\u0442\u043e\u00a0\u043e\u043a\u0440\u0443\u0433\u043b\u0435\u043d\u0438\u0435 \u0443\u0441\u0442\u0440\u043e\u0438\u0442 \u0432\u0430\u0441.<\/p>\n<\/li>\n<li>\n<p><strong>\u041f\u043e\u0432\u0442\u043e\u0440\u043d\u044b\u0435 \u0440\u0435\u0433\u0438\u0441\u0442\u0440\u0430\u0446\u0438\u0438<\/strong>: \u0435\u0441\u043b\u0438 \u044e\u0437\u0435\u0440 \u0441\u043c\u0435\u043d\u0438\u043b ID \u0438\u043b\u0438\u00a0\u043d\u0430\u0447\u0430\u043b \u0441\u00a0\u043d\u043e\u0432\u043e\u0433\u043e email\u00a0\u2014 \u0435\u0433\u043e \u0438\u0441\u0442\u043e\u0440\u0438\u044f \u043e\u0431\u043d\u0443\u043b\u0438\u0442\u0441\u044f. \u0412\u00a0\u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0435 \u044d\u0442\u043e \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0435 \u043f\u043e\u0442\u0435\u0440\u0438, \u043d\u043e\u00a0\u0432\u00a0\u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0445 B2B \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u0445 \u0441\u0442\u043e\u0438\u0442 \u0438\u0445 \u0443\u0447\u0438\u0442\u044b\u0432\u0430\u0442\u044c.<\/p>\n<\/li>\n<\/ul>\n<h3>LTV \u043f\u043e \u043a\u043e\u0433\u043e\u0440\u0442\u0430\u043c<\/h3>\n<p>Lifetime Value\u00a0\u2014 \u044d\u0442\u043e \u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0434\u0435\u043d\u0435\u0433 \u043f\u0440\u0438\u043d\u0451\u0441 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c \u0437\u0430\u00a0\u0432\u0441\u0451 \u0432\u0440\u0435\u043c\u044f. \u0414\u043b\u044f\u00a0\u043a\u043e\u0433\u043e\u0440\u0442:<\/p>\n<pre><code class=\"sql\">WITH first_orders AS (     SELECT user_id, MIN(order_date) AS first_order_date     FROM orders     GROUP BY user_id ), orders_with_cohort AS (     SELECT         o.user_id,         o.amount,         DATE_TRUNC('month', f.first_order_date) AS cohort_month,         EXTRACT(MONTH FROM AGE(o.order_date, f.first_order_date)) AS month_offset     FROM orders o     JOIN first_orders f ON o.user_id = f.user_id ) SELECT     cohort_month,     month_offset,     ROUND(SUM(amount), 2) AS total_ltv FROM orders_with_cohort GROUP BY cohort_month, month_offset ORDER BY cohort_month, month_offset;<\/code><\/pre>\n<p>\u0422\u0435\u043f\u0435\u0440\u044c \u0435\u0441\u0442\u044c LTV \u0432\u00a0\u0434\u0438\u043d\u0430\u043c\u0438\u043a\u0435. \u041c\u043e\u0436\u043d\u043e \u043f\u0440\u0435\u0432\u0440\u0430\u0442\u0438\u0442\u044c \u044d\u0442\u043e \u0432\u00a0\u043a\u0443\u043c\u0443\u043b\u044f\u0442\u0438\u0432\u043d\u0443\u044e \u043c\u0435\u0442\u0440\u0438\u043a\u0443\u00a0\u2014 \u0434\u043e\u0431\u0430\u0432\u0438\u0432 <code>SUM() OVER (...)<\/code>.<\/p>\n<h3>RFM-\u0430\u043d\u0430\u043b\u0438\u0437 \u0441 \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0435\u0439<\/h3>\n<p>\u0421\u0447\u0438\u0442\u0430\u0435\u043c \u043c\u0435\u0442\u0440\u0438\u043a\u0438:<\/p>\n<pre><code class=\"sql\">WITH rfm_base AS (   SELECT     user_id,     MAX(order_date) AS last_order_date,     COUNT(*) AS frequency,     SUM(amount) AS monetary   FROM orders   GROUP BY user_id ) SELECT   user_id,   CURRENT_DATE - last_order_date AS recency,   frequency,   monetary FROM rfm_base;<\/code><\/pre>\n<p>\u0414\u0435\u043b\u0438\u043c \u043f\u043e\u00a0\u043a\u0432\u0430\u043d\u0442\u0438\u043b\u044f\u043c:<\/p>\n<pre><code class=\"sql\">WITH rfm_ranked AS (   SELECT *,     NTILE(5) OVER (ORDER BY CURRENT_DATE - last_order_date DESC) AS r_score,     NTILE(5) OVER (ORDER BY frequency) AS f_score,     NTILE(5) OVER (ORDER BY monetary) AS m_score   FROM (     SELECT       user_id,       MAX(order_date) AS last_order_date,       COUNT(*) AS frequency,       SUM(amount) AS monetary     FROM orders     GROUP BY user_id   ) base ) SELECT   user_id,   r_score || f_score || m_score AS rfm_segment,   r_score,   f_score,   m_score FROM rfm_ranked;<\/code><\/pre>\n<p><code>RFM_segment = \"555\"<\/code>\u00a0\u2014 \u0438\u0434\u0435\u0430\u043b\u044c\u043d\u044b\u0439 \u044e\u0437\u0435\u0440: \u043d\u0435\u0434\u0430\u0432\u043d\u043e \u043f\u043e\u043a\u0443\u043f\u0430\u043b, \u043f\u043e\u043a\u0443\u043f\u0430\u0435\u0442 \u0447\u0430\u0441\u0442\u043e \u0438 \u043c\u043d\u043e\u0433\u043e \u0442\u0440\u0430\u0442\u0438\u0442.<\/p>\n<h3>\u0410\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430<\/h3>\n<p>\u0427\u0442\u043e\u0431\u044b \u0432\u0441\u0451 \u044d\u0442\u043e \u043d\u0435\u00a0\u043f\u0440\u0435\u0432\u0440\u0430\u0442\u0438\u043b\u043e\u0441\u044c \u0432\u00a0\u0445\u0430\u043e\u0442\u0438\u0447\u043d\u044b\u0439 \u0437\u043e\u043e\u043f\u0430\u0440\u043a SQL\u2011\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432, \u0441\u0442\u043e\u0438\u0442 \u0441\u0440\u0430\u0437\u0443 \u0432\u044b\u0434\u0435\u043b\u0438\u0442\u044c \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 CTE \u0432 <strong>materialized views<\/strong>\u00a0\u2014 \u044d\u0442\u043e \u0443\u0441\u043a\u043e\u0440\u0438\u0442 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u0435 \u043e\u0442\u0447\u0451\u0442\u043e\u0432 \u0438 \u0443\u043f\u0440\u043e\u0441\u0442\u0438\u0442 \u0438\u043d\u0442\u0435\u0433\u0440\u0430\u0446\u0438\u044e \u0441\u00a0BI\u2011\u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0430\u043c\u0438. \u041a\u0430\u043a\u00a0\u043c\u0438\u043d\u0438\u043c\u0443\u043c \u0441\u0442\u043e\u0438\u0442 \u0437\u0430\u0432\u0435\u0441\u0442\u0438 \u0442\u0440\u0438 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u044f: <code>user_first_order<\/code> (\u0434\u0430\u0442\u0430 \u043f\u0435\u0440\u0432\u043e\u0439 \u043f\u043e\u043a\u0443\u043f\u043a\u0438 \u043f\u043e\u00a0\u043a\u0430\u0436\u0434\u043e\u043c\u0443 \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044e), <code>orders_with_cohort<\/code> (\u0432\u0441\u0435 \u0437\u0430\u043a\u0430\u0437\u044b \u0441\u00a0\u043f\u0440\u0438\u043a\u0440\u0435\u043f\u043b\u0451\u043d\u043d\u043e\u0439 \u043a\u043e\u0433\u043e\u0440\u0442\u043e\u0439 \u0438 \u0441\u043c\u0435\u0449\u0435\u043d\u0438\u0435\u043c \u043f\u043e\u00a0\u0432\u0440\u0435\u043c\u0435\u043d\u0438) \u0438 <code>rfm_scores<\/code> (\u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442 RFM\u2011\u0430\u043d\u0430\u043b\u0438\u0437 \u0441\u00a0\u043a\u0432\u0430\u043d\u0442\u0438\u043b\u044c\u043d\u043e\u0439 \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0435\u0439).<\/p>\n<p>\u0414\u0430\u043b\u044c\u0448\u0435\u00a0\u2014 \u043a\u043b\u0430\u0441\u0441\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d: \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 \u044d\u0442\u0438\u0445 <code>materialized views<\/code> \u043f\u043e\u00a0\u0440\u0430\u0441\u043f\u0438\u0441\u0430\u043d\u0438\u044e \u0447\u0435\u0440\u0435\u0437 Airflow \u0438\u043b\u0438\u00a0Dagster (\u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0440\u0430\u0437 \u0432\u00a0\u0441\u0443\u0442\u043a\u0438), \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u044f \u0432\u00a0Metabase \u0438\u043b\u0438\u00a0Superset, \u043d\u0430\u0441\u0442\u0440\u043e\u0439\u043a\u0430 \u0430\u043b\u0435\u0440\u0442\u043e\u0432 \u043f\u043e\u00a0\u043e\u0441\u043d\u043e\u0432\u043d\u044b\u043c \u043c\u0435\u0442\u0440\u0438\u043a\u0430\u043c. \u0415\u0441\u043b\u0438 retention \u0443\u043f\u0430\u043b \u0438\u043b\u0438\u00a0LTV \u043f\u043e\u00a0\u043a\u0430\u043a\u043e\u0439\u2011\u0442\u043e \u043a\u043e\u0433\u043e\u0440\u0442\u0435 \u043f\u0440\u043e\u0441\u0435\u043b\u00a0\u2014 \u0432\u044b \u0441\u0440\u0430\u0437\u0443 \u044d\u0442\u043e \u0443\u0432\u0438\u0434\u0438\u0442\u0435. \u0422\u0430\u043a \u0438\u0437\u00a0\u043d\u0430\u0431\u043e\u0440\u0430 SQL\u2011\u0437\u0430\u043f\u0440\u043e\u0441\u043e\u0432 \u0440\u043e\u0436\u0434\u0430\u0435\u0442\u0441\u044f \u0440\u0430\u0431\u043e\u0447\u0430\u044f \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u0435\u0441\u043a\u0430\u044f \u0441\u0438\u0441\u0442\u0435\u043c\u0430.<\/p>\n<hr\/>\n<h3>\u0417\u0430\u043a\u043b\u044e\u0447\u0435\u043d\u0438\u0435<\/h3>\n<p>\u0427\u0442\u043e\u00a0\u043f\u043e\u043b\u0443\u0447\u0438\u043b\u0438:<\/p>\n<ul>\n<li>\n<p>\u041f\u043e\u043b\u043d\u043e\u0446\u0435\u043d\u043d\u044b\u0439 SQL\u2011\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d \u043a\u043e\u0433\u043e\u0440\u0442\u043d\u043e\u0433\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0430<\/p>\n<\/li>\n<li>\n<p>\u041c\u0435\u0442\u0440\u0438\u043a\u0438: Retention, LTV, RFM<\/p>\n<\/li>\n<li>\n<p>\u0421\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u044f \u0438 \u0433\u0440\u0443\u043f\u043f\u043e\u0432\u0430\u044f \u0430\u043d\u0430\u043b\u0438\u0442\u0438\u043a\u0430<\/p>\n<\/li>\n<li>\n<p>\u0420\u0430\u0437\u0431\u043e\u0440 edge\u2011\u043a\u0435\u0439\u0441\u043e\u0432 \u0438 \u043a\u0430\u043a\u00a0\u043d\u0435\u00a0\u0441\u0435\u0441\u0442\u044c \u0432\u00a0\u043b\u0443\u0436\u0443<\/p>\n<\/li>\n<\/ul>\n<p>\u0427\u0442\u043e\u00a0\u0434\u0430\u043b\u044c\u0448\u0435? \u041c\u043e\u0436\u043d\u043e \u043f\u043e\u0439\u0442\u0438 \u0432:<\/p>\n<ul>\n<li>\n<p>Product Analytics (\u043a\u043e\u043d\u0432\u0435\u0440\u0441\u0438\u044f, funnel&#8217;\u044b)<\/p>\n<\/li>\n<li>\n<p>Prediction (ML \u043d\u0430\u00a0\u043e\u0441\u043d\u043e\u0432\u0435 \u043a\u043e\u0433\u043e\u0440\u0442)<\/p>\n<\/li>\n<li>\n<p>Customer scoring (\u0447\u0435\u0440\u0435\u0437 RFM + external data)<\/p>\n<\/li>\n<\/ul>\n<hr\/>\n<p><em>\u0415\u0441\u043b\u0438 \u0432\u044b \u0437\u0430\u043d\u0438\u043c\u0430\u0435\u0442\u0435\u0441\u044c \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0441\u0438\u0441\u0442\u0435\u043c \u0438 \u0445\u043e\u0442\u0438\u0442\u0435 \u0438\u0437\u0431\u0435\u0436\u0430\u0442\u044c \u0442\u0438\u043f\u0438\u0447\u043d\u044b\u0445 \u043e\u0448\u0438\u0431\u043e\u043a \u043f\u0440\u0438 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u0438 API, \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0443\u044e \u043f\u043e\u0441\u0435\u0442\u0438\u0442\u044c \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u0439 \u0443\u0440\u043e\u043a \u0432 Otus. \u041d\u0430 \u043d\u0451\u043c \u0432\u044b \u0441\u043c\u043e\u0436\u0435\u0442\u0435 \u0440\u0430\u0437\u043e\u0431\u0440\u0430\u0442\u044c, \u043a\u0430\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c REST API \u0441 \u0443\u0447\u0435\u0442\u043e\u043c \u0432\u0441\u0435\u0445 \u0442\u0435\u0445\u043d\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0438 \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0430\u0441\u043f\u0435\u043a\u0442\u043e\u0432. \u0423\u0440\u043e\u043a \u043f\u0440\u043e\u0439\u0434\u0435\u0442 \u0443\u0436\u0435 \u0441\u0435\u0433\u043e\u0434\u043d\u044f, 16 \u0430\u043f\u0440\u0435\u043b\u044f, \u0432 20:00. <\/em><a href=\"https:\/\/otus.pw\/KbrX\/\"><em>\u0417\u0430\u043f\u0438\u0441\u044c \u2014 \u043d\u0430 \u0441\u0442\u0440\u0430\u043d\u0438\u0446\u0435 \u043a\u0443\u0440\u0441\u0430<\/em><\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!----><!----><\/div>\n<p><!----><!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/articles\/901114\/\"> https:\/\/habr.com\/ru\/articles\/901114\/<\/a><br \/><\/br><\/br><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-457874","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/457874","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=457874"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/457874\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=457874"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=457874"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=457874"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}