diff --git "a/code_blocks/\360\237\224\214 Integrations & Events/scheduled-data-exports_9.pgsql" "b/code_blocks/\360\237\224\214 Integrations & Events/scheduled-data-exports_9.pgsql"
new file mode 100644
index 00000000..2f946810
--- /dev/null
+++ "b/code_blocks/\360\237\224\214 Integrations & Events/scheduled-data-exports_9.pgsql"	
@@ -0,0 +1,147 @@
+/*
+This query generates a table that mirrors the Subscriber Retention chart. It
+uses three intermediate tables:
+
+  1. subs - a table grouped by first subscription purchase date
+  2. retention - a table that counts the number of active subscriptions in each 
+     date cohort
+  3. pending_retention - a table that counts the number of subscriptions that 
+     are expected to renew
+
+The three tables are combined in full_table to show a table that looks like
+this:
+
++-------------------------+---------------+-------------+---------+
+| date                    | period_number | period_name | actives |
++-------------------------+---------------+-------------+---------+
+| 2023-01-01 00:00:00.000 | 1             | Month 1     | 500     |
++-------------------------+---------------+-------------+---------+
+| 2023-01-01 00:00:00.000 | 2             | Month 2     | 600     |
++-------------------------+---------------+-------------+---------+
+| 2023-01-01 00:00:00.000 | 3             | Month 3     | 550     |
++-------------------------+---------------+-------------+---------+
+| 2023-02-01 00:00:00.000 | 1             | Month 1     | 400     |
++-------------------------+---------------+-------------+---------+
+| 2023-02-01 00:00:00.000 | 2             | Month 2     | 300     |
++-------------------------+---------------+-------------+---------+
+
+In the query you will see place holders that look like this:
+
+  start_time >= /* desired date range */
+
+Fill in each placeholder by following the instructions in each one.
+
+*/
+  
+WITH 
+  -- subs is an intermediate table that maps subscribers to their earliest 
+  -- subscription start date. The first subscription start date will be used to 
+  -- group billing cycles by cohort.
+  subs AS (
+    SELECT
+      -- app user ID will be used to group billing cycles by user
+      rc.app_user_id AS id,
+      -- first purchase date will be used to group billing cycles by cohort.
+      DATE(MIN(start_time)) AS first_start_time
+    FROM [revenuecat_data_table] rc
+    WHERE start_time >= /* desired date range */
+      -- count subscriptions only
+      AND end_time IS NOT NULL
+      -- remove any sandbox transactions
+      AND is_sandbox <> 'true'
+      -- remove any trial billing cycles
+      AND is_trial_period = 'false'
+      -- remove any intro offer billing cycles
+      AND is_in_intro_offer_period = 'false'
+      -- remove any subscriptions that were acquired through Family Sharing
+      AND ownership_type != 'FAMILY_SHARED'
+      AND product_identifier = /* targeted product(s) */
+    GROUP BY rc.app_user_id
+  ),
+  
+  -- retention is an intermediate table that counts the number of active
+  -- subscriptions in each cohort and billing cycle.
+  retention AS (
+    SELECT
+      -- cohorting subscriptions by their first start dates
+      subs.first_start_time,
+      -- Each period number represents the number of billing cycles the
+      -- subscriber was active for. Be sure to divide the date difference by the
+      -- number of days for the product duration being analyzed (e.g. 30 for
+      -- monthly, 365 for yearly, etc).
+      CAST(ROUND(DATEDIFF(day, subs.first_start_time, start_time) / CAST(30 AS NUMERIC)) AS INTEGER) AS period_number,
+      -- count the number of active subscriptions in each cohort and billing
+      -- cycle
+      count(1) AS actives
+    FROM rc
+    INNER JOIN subs ON subs.id = rc.app_user_id
+    WHERE start_time >= /* desired date range */
+      -- count subscriptions only
+      AND end_time IS NOT NULL
+      -- remove any sandbox transactions
+      AND is_sandbox <> 'true'
+      -- remove any trial billing cycles
+      AND is_trial_period = 'false'
+      -- remove any intro offer billing cycles
+      AND is_in_intro_offer_period = 'false'
+      -- remove any subscriptions that were acquired through Family Sharing
+      AND ownership_type != 'FAMILY_SHARED'
+    AND product_identifier = /* targeted product(s) */
+    GROUP BY 1, 2
+  ),
+  
+  -- pending_retention is an intermediate table that counts subscriptions that
+  -- are set to automatically renew in the future, and can therefore be thought
+  -- of possible future retention.
+  pending_retention AS (
+    SELECT
+      subs.first_start_time,
+      -- This billing cycle calculation is similar to the one made in the
+      -- retention table, with the only difference being it calculates the next
+      -- billing cycle in the future.
+      CAST(ROUND(DATEDIFF(day, subs.first_start_time, start_time) / CAST(30 AS NUMERIC)) AS INTEGER) + 1 AS period_number,
+      count(1) AS actives
+    FROM [revenuecat_data_table] rc
+    INNER JOIN subs ON subs.id = rc.app_user_id
+    WHERE
+      -- count only subscriptions that are expected to renew
+      is_auto_renewing = 'true'
+      -- count only the latest billing cycle of a subscription
+      AND DATEADD(month, 1, start_time) > GETDATE()
+      AND start_time >= /* desired date range */
+      AND end_time IS NOT NULL
+      AND is_sandbox <> 'true'
+      AND is_trial_period = 'false'
+      AND is_in_intro_offer_period = 'false'
+      AND ownership_type != 'FAMILY_SHARED'
+    AND product_identifier = /* targeted product(s) */
+    GROUP BY 1, 2
+  ),
+  
+  -- full_table combines retention and pending_retention into the final
+  -- subscriber retention table. If you're not interested in pending
+  -- subscriptions, you can remove pending_retention from this below query. For
+  -- example:
+  --   COALESCE(retention.first_start_time, pending_retention.first_start_time) AS first_start_time,
+  -- should be changed into:
+  --   retention.first_start_time AS first_start_time,
+  -- if pending retention is not needed.
+  full_table AS (
+    SELECT
+      COALESCE(retention.first_start_time, pending_retention.first_start_time) AS first_start_time,
+      COALESCE(retention.period_number, pending_retention.period_number) AS period_number,
+      COALESCE(retention.actives, 0) + COALESCE(pending_retention.actives, 0) AS actives
+    FROM retention
+    FULL OUTER JOIN pending_retention ON
+      pending_retention.first_start_time = retention.first_start_time AND
+      pending_retention.period_number = retention.period_number
+  )
+  
+  -- the final subscription retention table
+  SELECT
+    first_start_time as date,
+    period_number,
+    CONCAT('Month ', period_number) AS period_name,
+    actives
+  FROM full_table
+  ORDER BY date, period_number
\ No newline at end of file
diff --git a/docs_source/Integrations & Events/scheduled-data-exports.md b/docs_source/Integrations & Events/scheduled-data-exports.md
index 678a496a..4fe8dd46 100644
--- a/docs_source/Integrations & Events/scheduled-data-exports.md	
+++ b/docs_source/Integrations & Events/scheduled-data-exports.md	
@@ -287,6 +287,11 @@ You can use the following sample queries (written in Postgresql) as starting poi
     "language": "pgsql",
     "name": "Revenue",
     "file": "code_blocks/🔌 Integrations & Events/scheduled-data-exports_3.pgsql"
+  },
+  {
+    "language": "pgsql",
+    "name": "Subscriber Retention",
+    "file": "code_blocks/🔌 Integrations & Events/scheduled-data-exports_9.pgsql"
   }
 ]
 [/block]