Beispiele

Sichtbarkeitsraten gemäß MRC und GroupM

Warnung: Damit erweiterte Active View-Messwerte präzise berechnet werden können, müssen Sie Ihre Abfragen für eine Kombination aus allen drei Tabellen schreiben.

Dieses Beispiel zeigt, wie Sie Raten von Messwerten abfragen, die unterschiedliche Felder für die Messbarkeit haben.

-- Write queries as a union of all 3 tables.

WITH
  CombinedEvents AS (
    SELECT
      viewability_metrics,
      campaign_id
    FROM adh.google_ads_impressions
    UNION ALL
    SELECT
      viewability_metrics,
      impression_data.campaign_id
    FROM adh.google_ads_active_views
    UNION ALL
    SELECT
      viewability_metrics,
      impression_data.campaign_id
    FROM adh.google_ads_creative_conversions
  ),
  Metrics AS (
    SELECT
      campaign_id,
      SUM(viewability_metrics.mrc_viewable_impressions.measurable_count)
        AS mrc_measurable_impressions,
      SUM(viewability_metrics.mrc_viewable_impressions.viewable_count)
        AS mrc_viewable_impressions,
      SUM(viewability_metrics.groupm_viewable_impressions.measurable_count)
        AS groupm_measurable_impressions,
      SUM(viewability_metrics.groupm_viewable_impressions.viewable_count)
        AS groupm_viewable_impressions
    FROM
      CombinedEvents
    GROUP BY
      campaign_id
  )
SELECT
  campaign_id,
  SAFE_DIVIDE(mrc_viewable_impressions, mrc_measurable_impressions)
    AS mrc_viewability_rate,
  SAFE_DIVIDE(groupm_viewable_impressions, groupm_measurable_impressions)
    AS groupm_viewability_rate
FROM
  Metrics

Sichtbarkeitsmesswerte kombinieren

In diesem Beispiel wird die Anzahl der Impressionen berechnet, die während der Wiedergabe im Vollbildmodus und im Hintergrund zu sehen waren. Dieser Messwert lässt sich nur dann berechnen, wenn man zwei Messwerte miteinander kombiniert.

-- Write queries as a union of all 3 tables.

WITH
  CombinedEvents AS (
    SELECT
      impression_id,
      campaign_id,
      viewability_metrics,
      TRUE AS is_impression
    FROM adh.google_ads_impressions
    UNION ALL
    SELECT
      impression_id,
      impression_data.campaign_id,
      viewability_metrics,
      FALSE AS is_impression
    FROM adh.google_ads_active_views
    UNION ALL
    SELECT
      impression_id,
      impression_data.campaign_id,
      viewability_metrics,
      FALSE AS is_impression
    FROM adh.google_ads_creative_conversions
  ),
  AnnotatedImpressions AS (
    SELECT
      campaign_id,
      LOGICAL_OR(is_impression) AS is_valid_impression,
      SUM(viewability_metrics.active_view_plus_metrics.measurable_count) > 0
        AS is_av_plus_measurable,
      SUM(viewability_metrics.active_view_plus_metrics.background_count) > 0
        AS was_backgrounded,
      SUM(viewability_metrics.active_view_plus_metrics.fullscreen_count) > 0
        AS was_fullscreened
    FROM
      CombinedEvents
    GROUP BY
      impression_id,
      campaign_id
    HAVING
      is_valid_impression
  )
SELECT
  campaign_id,
  COUNT(*) AS total_impressions,
  COUNTIF(is_av_plus_measurable) AS av_plus_measurable_impressions,
  COUNTIF(was_backgrounded AND was_fullscreened) AS fullscreen_and_backgrounded_impressions
FROM
  AnnotatedImpressions
GROUP BY
  campaign_id

Messbare und sichtbare mögliche Impressionen für verschiedene Formatkategorien vergleichen

Gemessene Videoanzeigen

-- Write queries as a union of all 3 tables.

WITH
  VideoImpressions AS (
    SELECT impression_id
    FROM adh.google_ads_impressions
    WHERE format_category = 'VIDEO'
  ),
  CombinedEvents AS (
    SELECT
      impression_id,
      campaign_id,
      viewability_metrics,
      TRUE AS is_impression
    FROM adh.google_ads_impressions
    WHERE format_category = 'VIDEO'

    UNION ALL

    SELECT
      Im.impression_id,
      Av.impression_data.campaign_id,
      Av.viewability_metrics,
      FALSE AS is_impression
    FROM VideoImpressions AS Im
    INNER JOIN adh.google_ads_active_views AS Av
    USING (impression_id)

    UNION ALL

    SELECT
      Im.impression_id,
      Cc.impression_data.campaign_id,
      Cc.viewability_metrics,
      FALSE AS is_impression
    FROM VideoImpressions AS Im
    INNER JOIN adh.google_ads_creative_conversions AS Cc
    USING (impression_id)
  )
SELECT
  campaign_id,
  COUNTIF(is_impression) AS total_impressions,
  SUM(viewability_metrics.mrc_viewable_impressions.measurable_count)
    AS mrc_measurable_impressions,
  SUM(viewability_metrics.mrc_viewable_impressions.viewable_count)
    AS mrc_viewable_impressions
FROM
  CombinedEvents
GROUP BY
  campaign_id;

Gemessene Displayanzeigen

-- Write queries as a union of all 3 tables.

WITH
  DisplayImpressions AS (
    SELECT impression_id
    FROM adh.google_ads_impressions
    WHERE format_category = 'DISPLAY'
  ),
  CombinedEvents AS (
    SELECT
      impression_id,
      campaign_id,
      viewability_metrics,
      TRUE AS is_impression
    FROM adh.google_ads_impressions
    WHERE format_category = 'DISPLAY'

    UNION ALL

    SELECT
      Im.impression_id,
      Av.impression_data.campaign_id,
      Av.viewability_metrics,
      FALSE AS is_impression
    FROM DisplayImpressions AS Im
    INNER JOIN adh.google_ads_active_views AS Av
    USING (impression_id)

    UNION ALL

    SELECT
      Im.impression_id,
      Cc.impression_data.campaign_id,
      Cc.viewability_metrics,
      FALSE AS is_impression
    FROM DisplayImpressions AS Im
    INNER JOIN adh.google_ads_creative_conversions AS Cc
    USING (impression_id)
  )
SELECT
  campaign_id,
  COUNTIF(is_impression) AS total_impressions,
  SUM(viewability_metrics.mrc_viewable_impressions.measurable_count)
    AS mrc_measurable_impressions,
  SUM(viewability_metrics.mrc_viewable_impressions.viewable_count)
    AS mrc_viewable_impressions
FROM
  CombinedEvents
GROUP BY
  campaign_id;

Häufig verwendete Messwerte berechnen

In diesem Beispiel wird eine Reihe häufig verwendeter Messwerte berechnet. Beispielcode herunterladen