From 9a77102f6e8d39bf7805483a2ed1a4af9e7338c4 Mon Sep 17 00:00:00 2001
From: Amandeep Singh <amandeepsinghvirdi@gmail.com>
Date: Tue, 13 Jan 2026 21:34:15 +0000
Subject: [PATCH 1/2] Add 2025 ecommerce SQL queries

---
 .../ecommerce/core_web_vitals_by_platform.sql |  72 +++++++
 .../median_lighthouse_score_ecommsites.sql    |  43 +++++
 sql/2025/ecommerce/top_ecommerce.sql          | 175 ++++++++++++++++++
 .../ecommerce/top_payment_provider_by_geo.sql |  69 +++++++
 sql/2025/ecommerce/top_payment_providers.sql  | 170 +++++++++++++++++
 sql/2025/ecommerce/top_shopsystem_by_geo.sql  |  71 +++++++
 sql/2025/ecommerce/top_vendors_crux_rank.sql  |  64 +++++++
 7 files changed, 664 insertions(+)
 create mode 100644 sql/2025/ecommerce/core_web_vitals_by_platform.sql
 create mode 100644 sql/2025/ecommerce/median_lighthouse_score_ecommsites.sql
 create mode 100644 sql/2025/ecommerce/top_ecommerce.sql
 create mode 100644 sql/2025/ecommerce/top_payment_provider_by_geo.sql
 create mode 100644 sql/2025/ecommerce/top_payment_providers.sql
 create mode 100644 sql/2025/ecommerce/top_shopsystem_by_geo.sql
 create mode 100644 sql/2025/ecommerce/top_vendors_crux_rank.sql

diff --git a/sql/2025/ecommerce/core_web_vitals_by_platform.sql b/sql/2025/ecommerce/core_web_vitals_by_platform.sql
new file mode 100644
index 00000000000..82f41b60f6b
--- /dev/null
+++ b/sql/2025/ecommerce/core_web_vitals_by_platform.sql
@@ -0,0 +1,72 @@
+#standardSQL
+# CrUX Core Web Vitals performance of Ecommerce vendors by device (fid was upated to inp, and is non optinal now)
+CREATE TEMP FUNCTION IS_GOOD(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
+  good / (good + needs_improvement + poor) >= 0.75
+);
+
+CREATE TEMP FUNCTION IS_NON_ZERO(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
+  good + needs_improvement + poor > 0
+);
+
+
+SELECT
+  client,
+  ecomm,
+  COUNT(DISTINCT origin) AS origins,
+  # Origins with good LCP divided by origins with any LCP.
+  SAFE_DIVIDE(
+    COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
+    COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
+  ) AS pct_good_lcp,
+
+  # Origins with good INP divided by origins with any inp.
+  SAFE_DIVIDE(
+    COUNT(DISTINCT IF(IS_GOOD(fast_inp, avg_inp, slow_inp), origin, NULL)),
+    COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
+  ) AS pct_good_inp,
+
+  # Origins with good CLS divided by origins with any CLS.
+  SAFE_DIVIDE(
+    COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),
+    COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
+  ) AS pct_good_cls,
+
+  # Origins with good LCP, inp, and CLS divided by origins with any LCP, inp, and CLS.
+  SAFE_DIVIDE(
+    COUNT(DISTINCT IF(
+      IS_GOOD(fast_lcp, avg_lcp, slow_lcp) AND
+      IS_GOOD(fast_inp, avg_inp, slow_inp) AND
+      IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL
+    )),
+    COUNT(DISTINCT IF(
+      IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp) AND
+      IS_NON_ZERO(fast_inp, avg_inp, slow_inp) AND
+      IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL
+    ))
+  ) AS pct_good_cwv
+FROM
+  `chrome-ux-report.materialized.device_summary`
+JOIN (
+  SELECT
+    _TABLE_SUFFIX AS client,
+    url,
+    app AS ecomm
+  FROM
+    `httparchive.technologies.2025_06_01_*`
+  WHERE
+    category = 'Ecommerce' AND
+    (
+      app != 'Cart Functionality' AND
+      app != 'Google Analytics Enhanced eCommerce'
+    )
+)
+ON
+  CONCAT(origin, '/') = url AND
+  IF(device = 'desktop', 'desktop', 'mobile') = client
+WHERE
+  date = '2025-06-01'
+GROUP BY
+  client,
+  ecomm
+ORDER BY
+  origins DESC
diff --git a/sql/2025/ecommerce/median_lighthouse_score_ecommsites.sql b/sql/2025/ecommerce/median_lighthouse_score_ecommsites.sql
new file mode 100644
index 00000000000..9117674ba0f
--- /dev/null
+++ b/sql/2025/ecommerce/median_lighthouse_score_ecommsites.sql
@@ -0,0 +1,43 @@
+WITH technologies AS (
+  SELECT
+    client,
+    page,
+    category,
+    technology,
+    rank,
+    lighthouse,
+    COUNT(DISTINCT page) OVER (PARTITION BY client) AS total_websites
+  FROM `httparchive.all.pages`,
+    UNNEST(technologies) AS tech,
+    UNNEST(categories) AS category
+  WHERE
+    date = '2025-06-01' AND
+    is_root_page = TRUE
+)
+
+SELECT
+  client,
+  rank,
+  technology,
+  ARRAY_AGG(DISTINCT category) AS categories,
+  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.performance.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_performance,
+  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.accessibility.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_accessibility,
+  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.seo.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_seo,
+  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.best-practices.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_best_practices,
+  ANY_VALUE(total_websites) AS total_websites,
+  COUNT(DISTINCT page) AS number_of_websites,
+  COUNT(DISTINCT page) / ANY_VALUE(total_websites) AS percent_of_websites
+FROM technologies
+WHERE
+  category = 'Ecommerce' AND
+  (
+    technology != 'Cart Functionality' AND
+    technology != 'Google Analytics Enhanced eCommerce'
+  )
+GROUP BY
+  client,
+  rank,
+  technology
+ORDER BY
+  client,
+  number_of_websites DESC
diff --git a/sql/2025/ecommerce/top_ecommerce.sql b/sql/2025/ecommerce/top_ecommerce.sql
new file mode 100644
index 00000000000..95c330c98b3
--- /dev/null
+++ b/sql/2025/ecommerce/top_ecommerce.sql
@@ -0,0 +1,175 @@
+#standardSQL
+# Top Ecommerce platforms, compared to 2021
+# top_ecommerce.sql
+SELECT
+  client,
+  2025 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2025-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2025-06-01' AND
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+UNION ALL
+SELECT
+  client,
+  2024 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2024-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2024-06-01' AND
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+UNION ALL
+SELECT
+  client,
+  2023 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2023-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2023-06-01' AND
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+UNION ALL
+SELECT
+  client,
+  2022 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2022-08-01' AND -- noqa: CV09
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2022-08-01' AND -- noqa: CV09
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+UNION ALL
+SELECT
+  client,
+  2021 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2021-07-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2021-07-01' AND
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+ORDER BY
+  year DESC,
+  pct DESC
diff --git a/sql/2025/ecommerce/top_payment_provider_by_geo.sql b/sql/2025/ecommerce/top_payment_provider_by_geo.sql
new file mode 100644
index 00000000000..dd3a3145f15
--- /dev/null
+++ b/sql/2025/ecommerce/top_payment_provider_by_geo.sql
@@ -0,0 +1,69 @@
+#standardSQL
+# payment popularity per geo
+# top_payment_provider_by_geo.sql
+WITH geo_summary AS (
+  SELECT
+    `chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS geo,
+    IF(device = 'desktop', 'desktop', 'mobile') AS client,
+    origin,
+    COUNT(DISTINCT origin) OVER (PARTITION BY country_code, IF(device = 'desktop', 'desktop', 'mobile')) AS total
+  FROM
+    `chrome-ux-report.materialized.country_summary`
+  WHERE
+    yyyymm = 202506
+  UNION ALL
+  SELECT
+    'ALL' AS geo,
+    IF(device = 'desktop', 'desktop', 'mobile') AS client,
+    origin,
+    COUNT(DISTINCT origin) OVER (PARTITION BY IF(device = 'desktop', 'desktop', 'mobile')) AS total
+  FROM
+    `chrome-ux-report.materialized.device_summary`
+  WHERE
+    yyyymm = 202506
+)
+
+SELECT
+  *
+FROM (
+  SELECT
+    client,
+    geo,
+    payment,
+    COUNT(0) AS pages,
+    ANY_VALUE(total) AS total,
+    COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
+  FROM (
+    SELECT DISTINCT
+      geo,
+      client,
+      CONCAT(origin, '/') AS url,
+      total
+    FROM
+      geo_summary
+  ) JOIN (
+    SELECT DISTINCT
+      client,
+      cats,
+      technologies.technology AS payment,
+      page AS url
+    FROM
+      `httparchive.all.pages`,
+      UNNEST(technologies) AS technologies,
+      UNNEST(technologies.categories) AS cats
+    WHERE
+      technologies.technology IS NOT NULL AND
+      cats = 'Payment processors' AND
+      technologies.technology != '' AND
+      date = '2025-06-01' AND
+      is_root_page
+  ) USING (client, url)
+  GROUP BY
+    client,
+    geo,
+    payment
+)
+WHERE
+  pages > 1000
+ORDER BY
+  pages DESC
diff --git a/sql/2025/ecommerce/top_payment_providers.sql b/sql/2025/ecommerce/top_payment_providers.sql
new file mode 100644
index 00000000000..e29d9fc84c8
--- /dev/null
+++ b/sql/2025/ecommerce/top_payment_providers.sql
@@ -0,0 +1,170 @@
+#standardSQL
+# Top payment processors, compared to 2021
+# top_payment_providers.sql
+SELECT
+  client,
+  2025 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2025-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2025-06-01' AND
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+UNION ALL
+SELECT
+  client,
+  2024 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2024-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2024-06-01' AND
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+UNION ALL
+SELECT
+  client,
+  2023 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2023-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2023-06-01' AND
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+UNION ALL
+SELECT
+  client,
+  2022 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2022-08-01' AND -- noqa: CV09
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2022-08-01' AND -- noqa: CV09
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+UNION ALL
+SELECT
+  client,
+  2021 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2021-07-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2021-07-01' AND
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+ORDER BY
+  year DESC,
+  pct DESC
diff --git a/sql/2025/ecommerce/top_shopsystem_by_geo.sql b/sql/2025/ecommerce/top_shopsystem_by_geo.sql
new file mode 100644
index 00000000000..98ea4d326ef
--- /dev/null
+++ b/sql/2025/ecommerce/top_shopsystem_by_geo.sql
@@ -0,0 +1,71 @@
+#standardSQL
+# Shopsystem popularity per geo
+# top_shopsystem_by_geo.sql
+WITH geo_summary AS (
+  SELECT
+    `chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS geo,
+    IF(device = 'desktop', 'desktop', 'mobile') AS client,
+    origin,
+    COUNT(DISTINCT origin) OVER (PARTITION BY country_code, IF(device = 'desktop', 'desktop', 'mobile')) AS total
+  FROM
+    `chrome-ux-report.materialized.country_summary`
+  WHERE
+    yyyymm = 202506
+  UNION ALL
+  SELECT
+    'ALL' AS geo,
+    IF(device = 'desktop', 'desktop', 'mobile') AS client,
+    origin,
+    COUNT(DISTINCT origin) OVER (PARTITION BY IF(device = 'desktop', 'desktop', 'mobile')) AS total
+  FROM
+    `chrome-ux-report.materialized.device_summary`
+  WHERE
+    yyyymm = 202506
+)
+
+SELECT
+  *
+FROM (
+  SELECT
+    client,
+    geo,
+    app,
+    COUNT(0) AS pages,
+    ANY_VALUE(total) AS total,
+    COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
+  FROM (
+    SELECT DISTINCT
+      geo,
+      client,
+      CONCAT(origin, '/') AS url,
+      total
+    FROM
+      geo_summary
+  ) JOIN (
+    SELECT DISTINCT
+      client,
+      cats,
+      technologies.technology AS app,
+      page AS url
+    FROM
+      `httparchive.all.pages`,
+      UNNEST(technologies) AS technologies,
+      UNNEST(technologies.categories) AS cats
+    WHERE
+      technologies.technology IS NOT NULL AND
+      cats = 'Ecommerce' AND
+      technologies.technology != 'Cart Functionality' AND
+      technologies.technology != 'Google Analytics Enhanced eCommerce' AND
+      technologies.technology != '' AND
+      date = '2025-06-01' AND
+      is_root_page
+  ) USING (client, url)
+  GROUP BY
+    client,
+    geo,
+    app
+)
+WHERE
+  pages > 1000
+ORDER BY
+  pages DESC
diff --git a/sql/2025/ecommerce/top_vendors_crux_rank.sql b/sql/2025/ecommerce/top_vendors_crux_rank.sql
new file mode 100644
index 00000000000..1c51e57fc3a
--- /dev/null
+++ b/sql/2025/ecommerce/top_vendors_crux_rank.sql
@@ -0,0 +1,64 @@
+#standardSQL
+# Ecommerce adoption per rank
+# top_ecommerce_by_rank.sql
+
+SELECT
+  client,
+  ecommerce,
+  rank,
+  COUNT(DISTINCT url) AS pages,
+  ANY_VALUE(total) AS total,
+  COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
+FROM (
+  SELECT DISTINCT
+    client,
+    page AS url,
+    technologies.technology AS ecommerce
+  FROM
+    `httparchive.all.pages`,
+    UNNEST(technologies) AS technologies,
+    UNNEST(technologies.categories) AS cats
+  WHERE
+    cats = 'Ecommerce' AND
+    date = '2025-06-01' AND
+    is_root_page AND
+    technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+)
+JOIN (
+  SELECT
+    client,
+    page AS url,
+    rank_magnitude AS rank
+  FROM
+    `httparchive.all.pages`,
+    UNNEST([1e3, 1e4, 1e5, 1e6, 1e7]) AS rank_magnitude
+  WHERE
+    rank <= rank_magnitude AND
+    date = '2025-06-01' AND
+    is_root_page
+)
+USING (client, url)
+JOIN (
+  SELECT
+    client,
+    rank_magnitude AS rank,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`,
+    UNNEST([1e3, 1e4, 1e5, 1e6, 1e7]) AS rank_magnitude
+  WHERE
+    rank <= rank_magnitude AND
+    date = '2025-06-01' AND
+    is_root_page
+  GROUP BY
+    client,
+    rank_magnitude
+)
+USING (client, rank)
+GROUP BY
+  client,
+  ecommerce,
+  rank
+ORDER BY
+  rank,
+  pages DESC

From dc8b05726c712117c627b2eeb0a216f03b049890 Mon Sep 17 00:00:00 2001
From: Barry Pollard <barrypollard@google.com>
Date: Wed, 14 Jan 2026 20:28:42 +0000
Subject: [PATCH 2/2] Update to July

---
 .../ecommerce/core_web_vitals_by_platform.sql | 144 +++----
 .../median_lighthouse_score_ecommsites.sql    |  86 ++---
 sql/2025/ecommerce/top_ecommerce.sql          | 350 +++++++++---------
 .../ecommerce/top_payment_provider_by_geo.sql | 138 +++----
 sql/2025/ecommerce/top_payment_providers.sql  | 340 ++++++++---------
 sql/2025/ecommerce/top_shopsystem_by_geo.sql  | 142 +++----
 sql/2025/ecommerce/top_vendors_crux_rank.sql  | 128 +++----
 7 files changed, 664 insertions(+), 664 deletions(-)

diff --git a/sql/2025/ecommerce/core_web_vitals_by_platform.sql b/sql/2025/ecommerce/core_web_vitals_by_platform.sql
index 82f41b60f6b..3b29d25c8cf 100644
--- a/sql/2025/ecommerce/core_web_vitals_by_platform.sql
+++ b/sql/2025/ecommerce/core_web_vitals_by_platform.sql
@@ -1,72 +1,72 @@
-#standardSQL
-# CrUX Core Web Vitals performance of Ecommerce vendors by device (fid was upated to inp, and is non optinal now)
-CREATE TEMP FUNCTION IS_GOOD(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
-  good / (good + needs_improvement + poor) >= 0.75
-);
-
-CREATE TEMP FUNCTION IS_NON_ZERO(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
-  good + needs_improvement + poor > 0
-);
-
-
-SELECT
-  client,
-  ecomm,
-  COUNT(DISTINCT origin) AS origins,
-  # Origins with good LCP divided by origins with any LCP.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
-  ) AS pct_good_lcp,
-
-  # Origins with good INP divided by origins with any inp.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(fast_inp, avg_inp, slow_inp), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
-  ) AS pct_good_inp,
-
-  # Origins with good CLS divided by origins with any CLS.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),
-    COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
-  ) AS pct_good_cls,
-
-  # Origins with good LCP, inp, and CLS divided by origins with any LCP, inp, and CLS.
-  SAFE_DIVIDE(
-    COUNT(DISTINCT IF(
-      IS_GOOD(fast_lcp, avg_lcp, slow_lcp) AND
-      IS_GOOD(fast_inp, avg_inp, slow_inp) AND
-      IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL
-    )),
-    COUNT(DISTINCT IF(
-      IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp) AND
-      IS_NON_ZERO(fast_inp, avg_inp, slow_inp) AND
-      IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL
-    ))
-  ) AS pct_good_cwv
-FROM
-  `chrome-ux-report.materialized.device_summary`
-JOIN (
-  SELECT
-    _TABLE_SUFFIX AS client,
-    url,
-    app AS ecomm
-  FROM
-    `httparchive.technologies.2025_06_01_*`
-  WHERE
-    category = 'Ecommerce' AND
-    (
-      app != 'Cart Functionality' AND
-      app != 'Google Analytics Enhanced eCommerce'
-    )
-)
-ON
-  CONCAT(origin, '/') = url AND
-  IF(device = 'desktop', 'desktop', 'mobile') = client
-WHERE
-  date = '2025-06-01'
-GROUP BY
-  client,
-  ecomm
-ORDER BY
-  origins DESC
+#standardSQL
+# CrUX Core Web Vitals performance of Ecommerce vendors by device (fid was upated to inp, and is non optinal now)
+CREATE TEMP FUNCTION IS_GOOD(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
+  good / (good + needs_improvement + poor) >= 0.75
+);
+
+CREATE TEMP FUNCTION IS_NON_ZERO(good FLOAT64, needs_improvement FLOAT64, poor FLOAT64) RETURNS BOOL AS (
+  good + needs_improvement + poor > 0
+);
+
+
+SELECT
+  client,
+  ecomm,
+  COUNT(DISTINCT origin) AS origins,
+  # Origins with good LCP divided by origins with any LCP.
+  SAFE_DIVIDE(
+    COUNT(DISTINCT IF(IS_GOOD(fast_lcp, avg_lcp, slow_lcp), origin, NULL)),
+    COUNT(DISTINCT IF(IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp), origin, NULL))
+  ) AS pct_good_lcp,
+
+  # Origins with good INP divided by origins with any inp.
+  SAFE_DIVIDE(
+    COUNT(DISTINCT IF(IS_GOOD(fast_inp, avg_inp, slow_inp), origin, NULL)),
+    COUNT(DISTINCT IF(IS_NON_ZERO(fast_inp, avg_inp, slow_inp), origin, NULL))
+  ) AS pct_good_inp,
+
+  # Origins with good CLS divided by origins with any CLS.
+  SAFE_DIVIDE(
+    COUNT(DISTINCT IF(IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL)),
+    COUNT(DISTINCT IF(IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL))
+  ) AS pct_good_cls,
+
+  # Origins with good LCP, inp, and CLS divided by origins with any LCP, inp, and CLS.
+  SAFE_DIVIDE(
+    COUNT(DISTINCT IF(
+      IS_GOOD(fast_lcp, avg_lcp, slow_lcp) AND
+      IS_GOOD(fast_inp, avg_inp, slow_inp) AND
+      IS_GOOD(small_cls, medium_cls, large_cls), origin, NULL
+    )),
+    COUNT(DISTINCT IF(
+      IS_NON_ZERO(fast_lcp, avg_lcp, slow_lcp) AND
+      IS_NON_ZERO(fast_inp, avg_inp, slow_inp) AND
+      IS_NON_ZERO(small_cls, medium_cls, large_cls), origin, NULL
+    ))
+  ) AS pct_good_cwv
+FROM
+  `chrome-ux-report.materialized.device_summary`
+JOIN (
+  SELECT
+    _TABLE_SUFFIX AS client,
+    url,
+    app AS ecomm
+  FROM
+    `httparchive.technologies.2025_06_01_*`
+  WHERE
+    category = 'Ecommerce' AND
+    (
+      app != 'Cart Functionality' AND
+      app != 'Google Analytics Enhanced eCommerce'
+    )
+)
+ON
+  CONCAT(origin, '/') = url AND
+  IF(device = 'desktop', 'desktop', 'mobile') = client
+WHERE
+  date = '2025-07-01'
+GROUP BY
+  client,
+  ecomm
+ORDER BY
+  origins DESC
diff --git a/sql/2025/ecommerce/median_lighthouse_score_ecommsites.sql b/sql/2025/ecommerce/median_lighthouse_score_ecommsites.sql
index 9117674ba0f..a660ff80c59 100644
--- a/sql/2025/ecommerce/median_lighthouse_score_ecommsites.sql
+++ b/sql/2025/ecommerce/median_lighthouse_score_ecommsites.sql
@@ -1,43 +1,43 @@
-WITH technologies AS (
-  SELECT
-    client,
-    page,
-    category,
-    technology,
-    rank,
-    lighthouse,
-    COUNT(DISTINCT page) OVER (PARTITION BY client) AS total_websites
-  FROM `httparchive.all.pages`,
-    UNNEST(technologies) AS tech,
-    UNNEST(categories) AS category
-  WHERE
-    date = '2025-06-01' AND
-    is_root_page = TRUE
-)
-
-SELECT
-  client,
-  rank,
-  technology,
-  ARRAY_AGG(DISTINCT category) AS categories,
-  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.performance.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_performance,
-  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.accessibility.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_accessibility,
-  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.seo.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_seo,
-  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.best-practices.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_best_practices,
-  ANY_VALUE(total_websites) AS total_websites,
-  COUNT(DISTINCT page) AS number_of_websites,
-  COUNT(DISTINCT page) / ANY_VALUE(total_websites) AS percent_of_websites
-FROM technologies
-WHERE
-  category = 'Ecommerce' AND
-  (
-    technology != 'Cart Functionality' AND
-    technology != 'Google Analytics Enhanced eCommerce'
-  )
-GROUP BY
-  client,
-  rank,
-  technology
-ORDER BY
-  client,
-  number_of_websites DESC
+WITH technologies AS (
+  SELECT
+    client,
+    page,
+    category,
+    technology,
+    rank,
+    lighthouse,
+    COUNT(DISTINCT page) OVER (PARTITION BY client) AS total_websites
+  FROM `httparchive.all.pages`,
+    UNNEST(technologies) AS tech,
+    UNNEST(categories) AS category
+  WHERE
+    date = '2025-07-01' AND
+    is_root_page = TRUE
+)
+
+SELECT
+  client,
+  rank,
+  technology,
+  ARRAY_AGG(DISTINCT category) AS categories,
+  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.performance.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_performance,
+  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.accessibility.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_accessibility,
+  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.seo.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_seo,
+  APPROX_QUANTILES(CAST(JSON_EXTRACT_SCALAR(lighthouse, '$.categories.best-practices.score') AS NUMERIC), 1000)[OFFSET(500)] AS median_best_practices,
+  ANY_VALUE(total_websites) AS total_websites,
+  COUNT(DISTINCT page) AS number_of_websites,
+  COUNT(DISTINCT page) / ANY_VALUE(total_websites) AS percent_of_websites
+FROM technologies
+WHERE
+  category = 'Ecommerce' AND
+  (
+    technology != 'Cart Functionality' AND
+    technology != 'Google Analytics Enhanced eCommerce'
+  )
+GROUP BY
+  client,
+  rank,
+  technology
+ORDER BY
+  client,
+  number_of_websites DESC
diff --git a/sql/2025/ecommerce/top_ecommerce.sql b/sql/2025/ecommerce/top_ecommerce.sql
index 95c330c98b3..35ae50b63e9 100644
--- a/sql/2025/ecommerce/top_ecommerce.sql
+++ b/sql/2025/ecommerce/top_ecommerce.sql
@@ -1,175 +1,175 @@
-#standardSQL
-# Top Ecommerce platforms, compared to 2021
-# top_ecommerce.sql
-SELECT
-  client,
-  2025 AS year,
-  technologies.technology AS ecommerce,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2025-06-01' AND
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Ecommerce' AND
-  date = '2025-06-01' AND
-  is_root_page AND
-  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
-GROUP BY
-  client,
-  total,
-  ecommerce
-UNION ALL
-SELECT
-  client,
-  2024 AS year,
-  technologies.technology AS ecommerce,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2024-06-01' AND
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Ecommerce' AND
-  date = '2024-06-01' AND
-  is_root_page AND
-  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
-GROUP BY
-  client,
-  total,
-  ecommerce
-UNION ALL
-SELECT
-  client,
-  2023 AS year,
-  technologies.technology AS ecommerce,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2023-06-01' AND
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Ecommerce' AND
-  date = '2023-06-01' AND
-  is_root_page AND
-  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
-GROUP BY
-  client,
-  total,
-  ecommerce
-UNION ALL
-SELECT
-  client,
-  2022 AS year,
-  technologies.technology AS ecommerce,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2022-08-01' AND -- noqa: CV09
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Ecommerce' AND
-  date = '2022-08-01' AND -- noqa: CV09
-  is_root_page AND
-  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
-GROUP BY
-  client,
-  total,
-  ecommerce
-UNION ALL
-SELECT
-  client,
-  2021 AS year,
-  technologies.technology AS ecommerce,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2021-07-01' AND
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Ecommerce' AND
-  date = '2021-07-01' AND
-  is_root_page AND
-  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
-GROUP BY
-  client,
-  total,
-  ecommerce
-ORDER BY
-  year DESC,
-  pct DESC
+#standardSQL
+# Top Ecommerce platforms, compared to 2021
+# top_ecommerce.sql
+SELECT
+  client,
+  2025 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2025-07-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2025-07-01' AND
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+UNION ALL
+SELECT
+  client,
+  2024 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2024-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2024-06-01' AND
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+UNION ALL
+SELECT
+  client,
+  2023 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2023-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2023-06-01' AND
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+UNION ALL
+SELECT
+  client,
+  2022 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2022-08-01' AND -- noqa: CV09
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2022-08-01' AND -- noqa: CV09
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+UNION ALL
+SELECT
+  client,
+  2021 AS year,
+  technologies.technology AS ecommerce,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2021-07-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Ecommerce' AND
+  date = '2021-07-01' AND
+  is_root_page AND
+  technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+GROUP BY
+  client,
+  total,
+  ecommerce
+ORDER BY
+  year DESC,
+  pct DESC
diff --git a/sql/2025/ecommerce/top_payment_provider_by_geo.sql b/sql/2025/ecommerce/top_payment_provider_by_geo.sql
index dd3a3145f15..827419a9a30 100644
--- a/sql/2025/ecommerce/top_payment_provider_by_geo.sql
+++ b/sql/2025/ecommerce/top_payment_provider_by_geo.sql
@@ -1,69 +1,69 @@
-#standardSQL
-# payment popularity per geo
-# top_payment_provider_by_geo.sql
-WITH geo_summary AS (
-  SELECT
-    `chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS geo,
-    IF(device = 'desktop', 'desktop', 'mobile') AS client,
-    origin,
-    COUNT(DISTINCT origin) OVER (PARTITION BY country_code, IF(device = 'desktop', 'desktop', 'mobile')) AS total
-  FROM
-    `chrome-ux-report.materialized.country_summary`
-  WHERE
-    yyyymm = 202506
-  UNION ALL
-  SELECT
-    'ALL' AS geo,
-    IF(device = 'desktop', 'desktop', 'mobile') AS client,
-    origin,
-    COUNT(DISTINCT origin) OVER (PARTITION BY IF(device = 'desktop', 'desktop', 'mobile')) AS total
-  FROM
-    `chrome-ux-report.materialized.device_summary`
-  WHERE
-    yyyymm = 202506
-)
-
-SELECT
-  *
-FROM (
-  SELECT
-    client,
-    geo,
-    payment,
-    COUNT(0) AS pages,
-    ANY_VALUE(total) AS total,
-    COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
-  FROM (
-    SELECT DISTINCT
-      geo,
-      client,
-      CONCAT(origin, '/') AS url,
-      total
-    FROM
-      geo_summary
-  ) JOIN (
-    SELECT DISTINCT
-      client,
-      cats,
-      technologies.technology AS payment,
-      page AS url
-    FROM
-      `httparchive.all.pages`,
-      UNNEST(technologies) AS technologies,
-      UNNEST(technologies.categories) AS cats
-    WHERE
-      technologies.technology IS NOT NULL AND
-      cats = 'Payment processors' AND
-      technologies.technology != '' AND
-      date = '2025-06-01' AND
-      is_root_page
-  ) USING (client, url)
-  GROUP BY
-    client,
-    geo,
-    payment
-)
-WHERE
-  pages > 1000
-ORDER BY
-  pages DESC
+#standardSQL
+# payment popularity per geo
+# top_payment_provider_by_geo.sql
+WITH geo_summary AS (
+  SELECT
+    `chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS geo,
+    IF(device = 'desktop', 'desktop', 'mobile') AS client,
+    origin,
+    COUNT(DISTINCT origin) OVER (PARTITION BY country_code, IF(device = 'desktop', 'desktop', 'mobile')) AS total
+  FROM
+    `chrome-ux-report.materialized.country_summary`
+  WHERE
+    yyyymm = 202506
+  UNION ALL
+  SELECT
+    'ALL' AS geo,
+    IF(device = 'desktop', 'desktop', 'mobile') AS client,
+    origin,
+    COUNT(DISTINCT origin) OVER (PARTITION BY IF(device = 'desktop', 'desktop', 'mobile')) AS total
+  FROM
+    `chrome-ux-report.materialized.device_summary`
+  WHERE
+    yyyymm = 202506
+)
+
+SELECT
+  *
+FROM (
+  SELECT
+    client,
+    geo,
+    payment,
+    COUNT(0) AS pages,
+    ANY_VALUE(total) AS total,
+    COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
+  FROM (
+    SELECT DISTINCT
+      geo,
+      client,
+      CONCAT(origin, '/') AS url,
+      total
+    FROM
+      geo_summary
+  ) JOIN (
+    SELECT DISTINCT
+      client,
+      cats,
+      technologies.technology AS payment,
+      page AS url
+    FROM
+      `httparchive.all.pages`,
+      UNNEST(technologies) AS technologies,
+      UNNEST(technologies.categories) AS cats
+    WHERE
+      technologies.technology IS NOT NULL AND
+      cats = 'Payment processors' AND
+      technologies.technology != '' AND
+      date = '2025-07-01' AND
+      is_root_page
+  ) USING (client, url)
+  GROUP BY
+    client,
+    geo,
+    payment
+)
+WHERE
+  pages > 1000
+ORDER BY
+  pages DESC
diff --git a/sql/2025/ecommerce/top_payment_providers.sql b/sql/2025/ecommerce/top_payment_providers.sql
index e29d9fc84c8..a9ad5c0959a 100644
--- a/sql/2025/ecommerce/top_payment_providers.sql
+++ b/sql/2025/ecommerce/top_payment_providers.sql
@@ -1,170 +1,170 @@
-#standardSQL
-# Top payment processors, compared to 2021
-# top_payment_providers.sql
-SELECT
-  client,
-  2025 AS year,
-  technologies.technology AS payment,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2025-06-01' AND
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Payment processors' AND
-  date = '2025-06-01' AND
-  is_root_page
-GROUP BY
-  client,
-  total,
-  payment
-UNION ALL
-SELECT
-  client,
-  2024 AS year,
-  technologies.technology AS payment,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2024-06-01' AND
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Payment processors' AND
-  date = '2024-06-01' AND
-  is_root_page
-GROUP BY
-  client,
-  total,
-  payment
-UNION ALL
-SELECT
-  client,
-  2023 AS year,
-  technologies.technology AS payment,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2023-06-01' AND
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Payment processors' AND
-  date = '2023-06-01' AND
-  is_root_page
-GROUP BY
-  client,
-  total,
-  payment
-UNION ALL
-SELECT
-  client,
-  2022 AS year,
-  technologies.technology AS payment,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2022-08-01' AND -- noqa: CV09
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Payment processors' AND
-  date = '2022-08-01' AND -- noqa: CV09
-  is_root_page
-GROUP BY
-  client,
-  total,
-  payment
-UNION ALL
-SELECT
-  client,
-  2021 AS year,
-  technologies.technology AS payment,
-  COUNT(DISTINCT page) AS freq,
-  total,
-  COUNT(DISTINCT page) / total AS pct
-FROM
-  `httparchive.all.pages`,
-  UNNEST(technologies) AS technologies,
-  UNNEST(technologies.categories) AS cats
-JOIN (
-  SELECT
-    client,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`
-  WHERE
-    date = '2021-07-01' AND
-    is_root_page
-  GROUP BY
-    client
-)
-USING (client)
-WHERE
-  cats = 'Payment processors' AND
-  date = '2021-07-01' AND
-  is_root_page
-GROUP BY
-  client,
-  total,
-  payment
-ORDER BY
-  year DESC,
-  pct DESC
+#standardSQL
+# Top payment processors, compared to 2021
+# top_payment_providers.sql
+SELECT
+  client,
+  2025 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2025-07-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2025-07-01' AND
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+UNION ALL
+SELECT
+  client,
+  2024 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2024-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2024-06-01' AND
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+UNION ALL
+SELECT
+  client,
+  2023 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2023-06-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2023-06-01' AND
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+UNION ALL
+SELECT
+  client,
+  2022 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2022-08-01' AND -- noqa: CV09
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2022-08-01' AND -- noqa: CV09
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+UNION ALL
+SELECT
+  client,
+  2021 AS year,
+  technologies.technology AS payment,
+  COUNT(DISTINCT page) AS freq,
+  total,
+  COUNT(DISTINCT page) / total AS pct
+FROM
+  `httparchive.all.pages`,
+  UNNEST(technologies) AS technologies,
+  UNNEST(technologies.categories) AS cats
+JOIN (
+  SELECT
+    client,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`
+  WHERE
+    date = '2021-07-01' AND
+    is_root_page
+  GROUP BY
+    client
+)
+USING (client)
+WHERE
+  cats = 'Payment processors' AND
+  date = '2021-07-01' AND
+  is_root_page
+GROUP BY
+  client,
+  total,
+  payment
+ORDER BY
+  year DESC,
+  pct DESC
diff --git a/sql/2025/ecommerce/top_shopsystem_by_geo.sql b/sql/2025/ecommerce/top_shopsystem_by_geo.sql
index 98ea4d326ef..8d8a062d92b 100644
--- a/sql/2025/ecommerce/top_shopsystem_by_geo.sql
+++ b/sql/2025/ecommerce/top_shopsystem_by_geo.sql
@@ -1,71 +1,71 @@
-#standardSQL
-# Shopsystem popularity per geo
-# top_shopsystem_by_geo.sql
-WITH geo_summary AS (
-  SELECT
-    `chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS geo,
-    IF(device = 'desktop', 'desktop', 'mobile') AS client,
-    origin,
-    COUNT(DISTINCT origin) OVER (PARTITION BY country_code, IF(device = 'desktop', 'desktop', 'mobile')) AS total
-  FROM
-    `chrome-ux-report.materialized.country_summary`
-  WHERE
-    yyyymm = 202506
-  UNION ALL
-  SELECT
-    'ALL' AS geo,
-    IF(device = 'desktop', 'desktop', 'mobile') AS client,
-    origin,
-    COUNT(DISTINCT origin) OVER (PARTITION BY IF(device = 'desktop', 'desktop', 'mobile')) AS total
-  FROM
-    `chrome-ux-report.materialized.device_summary`
-  WHERE
-    yyyymm = 202506
-)
-
-SELECT
-  *
-FROM (
-  SELECT
-    client,
-    geo,
-    app,
-    COUNT(0) AS pages,
-    ANY_VALUE(total) AS total,
-    COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
-  FROM (
-    SELECT DISTINCT
-      geo,
-      client,
-      CONCAT(origin, '/') AS url,
-      total
-    FROM
-      geo_summary
-  ) JOIN (
-    SELECT DISTINCT
-      client,
-      cats,
-      technologies.technology AS app,
-      page AS url
-    FROM
-      `httparchive.all.pages`,
-      UNNEST(technologies) AS technologies,
-      UNNEST(technologies.categories) AS cats
-    WHERE
-      technologies.technology IS NOT NULL AND
-      cats = 'Ecommerce' AND
-      technologies.technology != 'Cart Functionality' AND
-      technologies.technology != 'Google Analytics Enhanced eCommerce' AND
-      technologies.technology != '' AND
-      date = '2025-06-01' AND
-      is_root_page
-  ) USING (client, url)
-  GROUP BY
-    client,
-    geo,
-    app
-)
-WHERE
-  pages > 1000
-ORDER BY
-  pages DESC
+#standardSQL
+# Shopsystem popularity per geo
+# top_shopsystem_by_geo.sql
+WITH geo_summary AS (
+  SELECT
+    `chrome-ux-report`.experimental.GET_COUNTRY(country_code) AS geo,
+    IF(device = 'desktop', 'desktop', 'mobile') AS client,
+    origin,
+    COUNT(DISTINCT origin) OVER (PARTITION BY country_code, IF(device = 'desktop', 'desktop', 'mobile')) AS total
+  FROM
+    `chrome-ux-report.materialized.country_summary`
+  WHERE
+    yyyymm = 202506
+  UNION ALL
+  SELECT
+    'ALL' AS geo,
+    IF(device = 'desktop', 'desktop', 'mobile') AS client,
+    origin,
+    COUNT(DISTINCT origin) OVER (PARTITION BY IF(device = 'desktop', 'desktop', 'mobile')) AS total
+  FROM
+    `chrome-ux-report.materialized.device_summary`
+  WHERE
+    yyyymm = 202506
+)
+
+SELECT
+  *
+FROM (
+  SELECT
+    client,
+    geo,
+    app,
+    COUNT(0) AS pages,
+    ANY_VALUE(total) AS total,
+    COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
+  FROM (
+    SELECT DISTINCT
+      geo,
+      client,
+      CONCAT(origin, '/') AS url,
+      total
+    FROM
+      geo_summary
+  ) JOIN (
+    SELECT DISTINCT
+      client,
+      cats,
+      technologies.technology AS app,
+      page AS url
+    FROM
+      `httparchive.all.pages`,
+      UNNEST(technologies) AS technologies,
+      UNNEST(technologies.categories) AS cats
+    WHERE
+      technologies.technology IS NOT NULL AND
+      cats = 'Ecommerce' AND
+      technologies.technology != 'Cart Functionality' AND
+      technologies.technology != 'Google Analytics Enhanced eCommerce' AND
+      technologies.technology != '' AND
+      date = '2025-07-01' AND
+      is_root_page
+  ) USING (client, url)
+  GROUP BY
+    client,
+    geo,
+    app
+)
+WHERE
+  pages > 1000
+ORDER BY
+  pages DESC
diff --git a/sql/2025/ecommerce/top_vendors_crux_rank.sql b/sql/2025/ecommerce/top_vendors_crux_rank.sql
index 1c51e57fc3a..d3e93accd50 100644
--- a/sql/2025/ecommerce/top_vendors_crux_rank.sql
+++ b/sql/2025/ecommerce/top_vendors_crux_rank.sql
@@ -1,64 +1,64 @@
-#standardSQL
-# Ecommerce adoption per rank
-# top_ecommerce_by_rank.sql
-
-SELECT
-  client,
-  ecommerce,
-  rank,
-  COUNT(DISTINCT url) AS pages,
-  ANY_VALUE(total) AS total,
-  COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
-FROM (
-  SELECT DISTINCT
-    client,
-    page AS url,
-    technologies.technology AS ecommerce
-  FROM
-    `httparchive.all.pages`,
-    UNNEST(technologies) AS technologies,
-    UNNEST(technologies.categories) AS cats
-  WHERE
-    cats = 'Ecommerce' AND
-    date = '2025-06-01' AND
-    is_root_page AND
-    technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
-)
-JOIN (
-  SELECT
-    client,
-    page AS url,
-    rank_magnitude AS rank
-  FROM
-    `httparchive.all.pages`,
-    UNNEST([1e3, 1e4, 1e5, 1e6, 1e7]) AS rank_magnitude
-  WHERE
-    rank <= rank_magnitude AND
-    date = '2025-06-01' AND
-    is_root_page
-)
-USING (client, url)
-JOIN (
-  SELECT
-    client,
-    rank_magnitude AS rank,
-    COUNT(0) AS total
-  FROM
-    `httparchive.all.pages`,
-    UNNEST([1e3, 1e4, 1e5, 1e6, 1e7]) AS rank_magnitude
-  WHERE
-    rank <= rank_magnitude AND
-    date = '2025-06-01' AND
-    is_root_page
-  GROUP BY
-    client,
-    rank_magnitude
-)
-USING (client, rank)
-GROUP BY
-  client,
-  ecommerce,
-  rank
-ORDER BY
-  rank,
-  pages DESC
+#standardSQL
+# Ecommerce adoption per rank
+# top_ecommerce_by_rank.sql
+
+SELECT
+  client,
+  ecommerce,
+  rank,
+  COUNT(DISTINCT url) AS pages,
+  ANY_VALUE(total) AS total,
+  COUNT(DISTINCT url) / ANY_VALUE(total) AS pct
+FROM (
+  SELECT DISTINCT
+    client,
+    page AS url,
+    technologies.technology AS ecommerce
+  FROM
+    `httparchive.all.pages`,
+    UNNEST(technologies) AS technologies,
+    UNNEST(technologies.categories) AS cats
+  WHERE
+    cats = 'Ecommerce' AND
+    date = '2025-07-01' AND
+    is_root_page AND
+    technologies.technology NOT IN ('Cart Functionality', 'Google Analytics Enhanced eCommerce')
+)
+JOIN (
+  SELECT
+    client,
+    page AS url,
+    rank_magnitude AS rank
+  FROM
+    `httparchive.all.pages`,
+    UNNEST([1e3, 1e4, 1e5, 1e6, 1e7]) AS rank_magnitude
+  WHERE
+    rank <= rank_magnitude AND
+    date = '2025-07-01' AND
+    is_root_page
+)
+USING (client, url)
+JOIN (
+  SELECT
+    client,
+    rank_magnitude AS rank,
+    COUNT(0) AS total
+  FROM
+    `httparchive.all.pages`,
+    UNNEST([1e3, 1e4, 1e5, 1e6, 1e7]) AS rank_magnitude
+  WHERE
+    rank <= rank_magnitude AND
+    date = '2025-07-01' AND
+    is_root_page
+  GROUP BY
+    client,
+    rank_magnitude
+)
+USING (client, rank)
+GROUP BY
+  client,
+  ecommerce,
+  rank
+ORDER BY
+  rank,
+  pages DESC