HTTPArchive · tunetheweb · Jan 14, 2026 · Jan 13, 2026 · Jan 14, 2026
diff --git a/sql/2025/ecommerce/core_web_vitals_by_platform.sql 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 = '2025-07-01'
+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
@@ -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 = '2025-07-01' 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
@@ -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 = '2025-07-01' 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
@@ -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 = '2025-07-01' AND
+      is_root_page
+  ) USING (client, url)
+  GROUP BY
+    client,
+    geo,
+    payment
+)
+WHERE
+  pages > 1000
+ORDER BY
+  pages DESC