URLs con mucho tráfico orgánico pero pocas impresiones

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-- URLs con más tráfico orgánico (GA4) que impresiones (GSC)
-- Detecta discrepancias entre ambas fuentes
WITH ga4_trafico AS (
  SELECT
    REGEXP_EXTRACT(
      (SELECT value.string_value FROM UNNEST(event_params) WHERE key = 'page_location'),
      r'(https?://[^?#]+)'
    ) AS url_normalizada,
    COUNT(
      DISTINCT CONCAT(
        user_pseudo_id, '.',
        CAST(
          (SELECT value.int_value FROM UNNEST(event_params) WHERE key = 'ga_session_id')
        AS STRING)
      )
    ) AS sesiones_organicas
  FROM
    `your-project.analytics_XXXXXXXXX.events_*`
  WHERE
    _TABLE_SUFFIX BETWEEN FORMAT_DATE('%Y%m%d', DATE_SUB(CURRENT_DATE(), INTERVAL 28 DAY))
      AND FORMAT_DATE('%Y%m%d', CURRENT_DATE())
    AND traffic_source.medium = 'organic'
    AND event_name = 'session_start'
  GROUP BY
    url_normalizada
  HAVING
    sesiones_organicas >= 20
),
gsc_data AS (
  SELECT
    url,
    SUM(clicks) AS clics_gsc,
    SUM(impressions) AS impresiones_gsc
  FROM
    `your-project.searchconsole.searchdata_url_impression`
  WHERE
    data_date BETWEEN DATE_SUB(CURRENT_DATE(), INTERVAL 28 DAY) AND CURRENT_DATE()
    AND search_type = 'WEB'
  GROUP BY
    url
)
SELECT
  g.url_normalizada AS url,
  g.sesiones_organicas,
  IFNULL(s.clics_gsc, 0) AS clics_gsc,
  IFNULL(s.impresiones_gsc, 0) AS impresiones_gsc,
  g.sesiones_organicas - IFNULL(s.clics_gsc, 0) AS diferencia,
  ROUND(SAFE_DIVIDE(
    g.sesiones_organicas - IFNULL(s.clics_gsc, 0),
    g.sesiones_organicas
  ) * 100, 2) AS pct_no_explicado
FROM
  ga4_trafico g
  LEFT JOIN gsc_data s ON g.url_normalizada = s.url
WHERE
  -- Sesiones orgánicas superan significativamente los clics de GSC
  g.sesiones_organicas > IFNULL(s.clics_gsc, 0) * 2
ORDER BY
  diferencia DESC
LIMIT 30