diff --git a/_sql/analytics_stripe_sigma/basic_user_queries.sql b/_sql/analytics/analytics_stripe_sigma/basic_user_queries.sql
similarity index 90%
rename from _sql/analytics_stripe_sigma/basic_user_queries.sql
rename to _sql/analytics/analytics_stripe_sigma/basic_user_queries.sql
index 70b02409a9..1cf64c2427 100644
--- a/_sql/analytics_stripe_sigma/basic_user_queries.sql
+++ b/_sql/analytics/analytics_stripe_sigma/basic_user_queries.sql
@@ -28,3 +28,9 @@ where id IN (
     or subscriptions.status = 'past_due'
 )
 group by address_country
+
+
+-- Histogram
+select address_country, count(*)
+from customers
+group by address_country
diff --git a/_sql/analytics/analytics_stripe_sigma/subscriptions.sql b/_sql/analytics/analytics_stripe_sigma/subscriptions.sql
new file mode 100644
index 0000000000..e90972b713
--- /dev/null
+++ b/_sql/analytics/analytics_stripe_sigma/subscriptions.sql
@@ -0,0 +1,66 @@
+-- noinspection SqlDialectInspectionForFile
+-- noinspection SqlNoDataSourceInspectionForFile
+-- noinspection SqlResolveForFile
+
+-- NB: These are for use in Stripe Sigma, not MySQL
+-- NB: You must use single quotes instead of double quotes when comparing string values.
+
+-- Status values: past_due, incomplete, active, canceled, incomplete_expired (perhaps not exhaustive)
+select distinct status
+from subscriptions
+
+select count(*)
+from subscriptions
+where status IN ('active');
+
+-- Metadata is in the 'subscriptions_metadata' table, and we store 'username', 'email', and 'user_token'
+select
+    m.value,
+    m.key,
+    s.id,
+    s.created,
+    s.cancel_at,
+    s.canceled_at
+from subscriptions as s
+join subscriptions_metadata as m
+on m.subscription_id = s.id
+where m.key = 'username'
+
+
+-- Full mapping of Stripe subscribers to FakeYou users
+select
+    s.id as subscription_id,
+    user_tokens.user_token,
+    usernames.username,
+    emails.email,
+    s.status as subscription_status,
+    s.created,
+    s.cancel_at,
+    s.canceled_at
+from subscriptions as s
+join (
+    select
+        m.subscription_id,
+        m.value as username
+    from subscriptions_metadata as m
+    where m.key = 'username'
+) as usernames
+on s.id = usernames.subscription_id
+join (
+    select m.subscription_id,
+           m.value as email
+    from subscriptions_metadata as m
+    where m.key = 'email'
+) as emails
+on s.id = emails.subscription_id
+join (
+    select m.subscription_id,
+           m.value as user_token
+    from subscriptions_metadata as m
+    where m.key = 'user_token'
+) as user_tokens
+on s.id = user_tokens.subscription_id
+order by s.id asc
+
+
+
diff --git a/_sql/analytics_stripe_sigma/user_cohorts.sql b/_sql/analytics/analytics_stripe_sigma/user_cohorts.sql
similarity index 100%
rename from _sql/analytics_stripe_sigma/user_cohorts.sql
rename to _sql/analytics/analytics_stripe_sigma/user_cohorts.sql
diff --git a/_sql/analytics/users/subscribers/loyal_user_cohorts_mom.sql b/_sql/analytics/users/subscribers/loyal_user_cohorts_mom.sql
index c2a8dd4ce6..d5c08146d9 100644
--- a/_sql/analytics/users/subscribers/loyal_user_cohorts_mom.sql
+++ b/_sql/analytics/users/subscribers/loyal_user_cohorts_mom.sql
@@ -24,7 +24,7 @@ FROM (
              SELECT DISTINCT user_token
              FROM user_subscriptions
          )
-           AND j.created_at BETWEEN '2023-01-01 00:00:00' AND '2023-02-01 00:00:00'
+           AND j.created_at BETWEEN '2022-12-01 00:00:00' AND '2023-01-01 00:00:00'
          UNION
          SELECT
              u.username as username,
@@ -36,7 +36,7 @@ FROM (
              SELECT DISTINCT user_token
              FROM user_subscriptions
              )
-           AND j.created_at BETWEEN '2023-01-01 00:00:00' AND '2023-02-01 00:00:00'
+           AND j.created_at BETWEEN '2022-12-01 00:00:00' AND '2023-01-01 00:00:00'
          UNION
          SELECT
              u.username as username,
@@ -48,8 +48,9 @@ FROM (
              SELECT DISTINCT user_token
              FROM user_subscriptions
              )
-           AND j.created_at BETWEEN '2023-01-01 00:00:00' AND '2023-02-01 00:00:00'
+           AND j.created_at BETWEEN '2022-12-01 00:00:00' AND '2023-01-01 00:00:00'
      ) as t
 GROUP BY username
-ORDER BY total_use_count desc
+ORDER BY total_use_count desc;
+