目标洞察

通过分析数据模型而获得的见解,可使您的Adobe Real-time Customer Data Platform数据更易于访问、理解并影响决策。

通过访问支持这些分析的SQL来了解您的目标分析,然后生成您自己的分析以进一步探索如何将数据从Adobe Experience Platform激活到您的目标平台。 通过使用现有的Real-Time CDP数据模型SQL作为灵感,根据独特的业务需求创建查询,将原始数据转换为新的可操作洞察。

有关如何直接通过PLatform UI调整分析的SQL的详细信息,请参阅查看SQL文档

以下分析均可用作目标仪表板或自定义用户定义的仪表板的一部分。 有关如何自定义仪表板或🔗在构件库和用户定义的仪表板中创建和编辑新构件的说明,请参阅自定义概述

已激活的受众 activated-audiences

通过此洞察回答的问题:

  • 按特定目标过滤的已激活受众的总数是多少?
  • 每个目标的激活受众计数是多少?
选择以显示生成此分析的SQL
code language-sql
SELECT
  COUNT(segment_id) AS Activated_Audiences_Count
FROM
  qsaccel.profile_agg.adwh_dim_br_segment_destinations
WHERE
  (
    SELECT
      MAX(process_date)
    FROM
      qsaccel.profile_agg.adwh_lkup_process_delta_log
    WHERE
      process_name = 'FACT_TABLES_PROCESSING'
      AND process_status = 'SUCCESSFUL'
  ) BETWEEN start_date AND end_date
  AND destination_id = 1458738325;

有关此分析的外观和功能的信息,请参阅激活的受众小组件文档

所有目标的活跃受众 activated-audiences-across-all-destinations

通过此洞察回答的问题:

  • 在所有目标中激活了多少受众?
  • 激活的受众的总数是多少?
选择以显示生成此分析的SQL
code language-sql
SELECT count(segment_id) AS Activated_Audiences_Count
FROM qsaccel.profile_agg.adwh_dim_br_segment_destinations
WHERE
    (SELECT MAX(process_date)
     FROM qsaccel.profile_agg.adwh_lkup_process_delta_log
     WHERE process_name = 'FACT_TABLES_PROCESSING'
       AND process_status = 'SUCCESSFUL' ) BETWEEN start_date AND end_date;

有关此洞察的外观和功能的信息,请参阅所有目标构件文档中的激活的受众

按目标平台列出的活动目标 active-destinations-by-destination-platform

通过此洞察回答的问题:

  • 有多少个目标处于活动状态?
  • 按目标平台划分的活动目标划分是什么?
  • 按每个目标平台划分的活动目标数量是多少?
选择以显示生成此分析的SQL
code language-sql
SELECT destination_platform_name AS Destination_Platform_Name,
       COUNT(destination_id) AS Active_Destinations_Count
  FROM qsaccel.profile_agg.adwh_dim_destination a
  INNER JOIN qsaccel.profile_agg.adwh_dim_destination_platform b ON a.destination_platform_id = b.destination_platform_id
  WHERE destination_status='enabled'
  GROUP BY destination_platform_name
  ORDER BY Active_Destinations_Count DESC
  LIMIT 20;

有关此洞察的外观和功能的信息,请参阅按目标平台划分的活动目标小组件文档

受众规模趋势 audience-size-trend

通过此洞察回答的问题:

  • 受众规模随时间的变化如何,包括映射到目标的受众的异常?
  • 如何才能找到在30天、90天和12个月的指定时间段内按目标列出的受众规模整体趋势?
  • 受众对规模有贡献的主要特征是什么,例如,任何电子邮件营销活动的尖峰是什么?
选择以显示生成此分析的SQL
code language-sql
SELECT d.destination_name,
        d.destination,
        d.destination_id,
        b.segment_name,
        b.segment,
        c.segment_id,
        a.date_key,
        sum(a.count_of_profiles) AS profile_count
  FROM qsaccel.profile_agg.adwh_fact_profile_by_segment_trendlines a
  INNER JOIN qsaccel.profile_agg.adwh_dim_segments b ON a.segment_id = b.segment_id
  INNER JOIN qsaccel.profile_agg.adwh_dim_br_segment_destinations c ON a.segment_id = c.segment_id
  INNER JOIN qsaccel.profile_agg.adwh_dim_destination d ON c.destination_id = d.destination_id
  INNER JOIN
    (SELECT MAX(process_date) last_process_date,
            merge_policy_id
    FROM qsaccel.profile_agg.adwh_lkup_process_delta_log
    WHERE process_name = 'FACT_TABLES_PROCESSING'
      AND process_status = 'SUCCESSFUL'
    GROUP BY merge_policy_id) f ON a.merge_policy_id = f.merge_policy_id
  WHERE a.date_key >= dateadd(DAY, -30-1, f.last_process_date)
    AND d.destination_id = -1275507046
    AND c.segment_id = -1452100519
  GROUP BY d.destination_name,
          d.destination,
          d.destination_id,
          b.segment_name,
          b.segment,
          c.segment_id,
          a.date_key;

有关此分析的外观和功能的信息,请参阅受众规模趋势构件文档

普通受众 common-audiences

通过此洞察回答的问题:

  • 哪些受众在两个不同的目标之间通用?
  • 两个不同目标之间的每个常见受众都有多少个配置文件?
  • 两个目标映射到的最大受众是哪个?
选择以显示生成此分析的SQL
code language-sql
SELECT k.destination_name1,
       k.destination_1,
       k.destination_id1,
       k.destination_name2,
       k.destination_2,
       k.destination_id2,
       b.segment_name,
       b.segment,
       b.segment_id,
       sum(a.count_of_profiles) AS profile_count
  FROM
    (SELECT i.destination_name AS destination_name1,
            i.destination AS destination_1,
            i.destination_id AS destination_id1,
            j.destination_name AS destination_name2,
            j.destination AS destination_2,
            j.destination_id AS destination_id2,
            i.segment_id
     FROM
       (SELECT b.destination_name,
               b.destination,
               b.destination_id,
               a.segment_id
        FROM qsaccel.profile_agg.adwh_dim_br_segment_destinations a
        INNER JOIN qsaccel.profile_agg.adwh_dim_destination b ON a.destination_id=b.destination_id
        WHERE b.destination_id=1458738325) AS i
     INNER JOIN
       (SELECT b.destination_name,
               b.destination,
               b.destination_id,
               a.segment_id
        FROM qsaccel.profile_agg.adwh_dim_br_segment_destinations a
        INNER JOIN qsaccel.profile_agg.adwh_dim_destination b ON a.destination_id=b.destination_id
        WHERE b.destination_id=-635802802) AS j ON i.segment_id=j.segment_id) AS k
  INNER JOIN qsaccel.profile_agg.adwh_fact_profile_by_segment a ON a.segment_id = k.segment_id
  INNER JOIN qsaccel.profile_agg.adwh_dim_segments b ON b.segment_id = k.segment_id
  INNER JOIN
    (SELECT MAX(process_date) last_process_date,
            merge_policy_id
     FROM qsaccel.profile_agg.adwh_lkup_process_delta_log
     WHERE process_name = 'FACT_TABLES_PROCESSING'
       AND process_status = 'SUCCESSFUL'
     GROUP BY merge_policy_id) c ON a.merge_policy_id = c.merge_policy_id
  WHERE a.date_key = c.last_process_date
  GROUP BY k.destination_name1,
           k.destination_1,
           k.destination_id1,
           k.destination_name2,
           k.destination_2,
           k.destination_id2,
           b.segment_name,
           b.segment,
           b.segment_id
  ORDER BY profile_count DESC
  LIMIT 20;

有关此分析的外观和功能的信息,请参阅常用受众小组件文档

目标状态 destination-status

通过此洞察回答的问题:

  • 允许使用的目标总数是多少?
  • 已禁用的目标总数是多少?
  • 已启用目标和已禁用目标之间的百分比分摊是多少?
选择以显示生成此分析的SQL
code language-sql
SELECT COUNT(CASE
                 WHEN destination_status='enabled' THEN 1
             END) AS count_of_active_destinations,
       COUNT(CASE
                 WHEN destination_status='disabled' THEN 1
             END) AS count_of_inactive_destinations
FROM qsaccel.profile_agg.adwh_dim_destination;

有关此分析的外观和功能的信息,请参阅目标状态构件文档

目标计数 destinations-count

通过此洞察回答的问题:

  • 当前配置了多少个目标?
  • 目标总数会如何随时间变化?
选择以显示生成此分析的SQL
code language-sql
SELECT count(destination_id) AS total_number_of_destinations
  FROM qsaccel.profile_agg.adwh_dim_destination;

有关此分析的外观和功能的信息,请参阅目标计数构件文档

映射的受众健康 mapped-audience-health

通过此洞察回答的问题:

  • 哪些映射到目标的受众在过去30天内有显着变化?
  • 映射受众的最新大小以及在上个月是否发生了更改?
  • 如何根据上个月大小变化的严重程度列出映射到目标的所有受众?
选择以显示生成此分析的SQL
code language-sql
SELECT destination_name,
        SEGMENT,
        segment_id,
        segment_name,
        avg_profile_count,
        latest_profile_count,
        stddev_profile_count,
        profile_count_z_factor
  FROM
    (SELECT b.destination_name,
            f.segment_id,
            c.segment_name,
            c.segment,
            f.avg_profile_count,
            f.latest_profile_count,
            f.stddev_profile_count,
            CASE
                WHEN stddev_profile_count = 0 THEN 0 ELSE(f.latest_profile_count - f.avg_profile_count)/f.stddev_profile_count
            END AS profile_count_z_factor
    FROM
      (SELECT segment_id,
              avg(profile_count) AS avg_profile_count,
              sum(CASE
                      WHEN last_process_date = date_key THEN profile_count
                      ELSE 0
                  END) AS latest_profile_count,
              stdevp(profile_count) AS stddev_profile_count
        FROM
          (SELECT x.date_key,
                  x.segment_id,
                  d.last_process_date,
                  sum(x.count_of_profiles) AS profile_count
          FROM qsaccel.profile_agg.adwh_fact_profile_by_segment_trendlines x
          INNER JOIN
            (SELECT MAX(process_date) last_process_date,
                    merge_policy_id
              FROM qsaccel.profile_agg.adwh_lkup_process_delta_log
              WHERE process_name = 'FACT_TABLES_PROCESSING'
                AND process_status = 'SUCCESSFUL'
              GROUP BY merge_policy_id) d ON x.merge_policy_id = d.merge_policy_id
          WHERE x.date_key >= dateadd (DAY, -30, d.last_process_date)
          GROUP BY x.date_key,
                    x.segment_id,
                    d.last_process_date) AS t
        GROUP BY segment_id) AS f
    INNER JOIN qsaccel.profile_agg.adwh_dim_segments c ON f.segment_id = c.segment_id
    INNER JOIN qsaccel.profile_agg.adwh_dim_br_segment_destinations a ON a.segment_id = c.segment_id
    INNER JOIN qsaccel.profile_agg.adwh_dim_destination b ON a.destination_id = b.destination_id
    WHERE b.destination_id = 1458738325) AS m
  WHERE abs(m.profile_count_z_factor) >= 1
  ORDER BY m.latest_profile_count DESC
  LIMIT 20;

有关此分析的外观和功能的信息,请参阅映射的受众运行状况小组件文档

已映射受众 mapped-audiences

通过此洞察回答的问题:

  • 有多少受众映射到特定目标?
  • 映射受众的数量会随时间发生何种变化?
  • 可在何处比较两个目标以查看映射到每个目标的受众重叠?
选择以显示生成此分析的SQL
code language-sql
SELECT COUNT(segment_id) AS mapped_audiences_count
FROM qsaccel.profile_agg.adwh_dim_br_segment_destinations
WHERE destination_id = 1458738325;

有关此分析的外观和功能的信息,请参阅映射的受众小组件文档

最常用的目标 most-used-destinations

通过此洞察回答的问题:

  • 最常用的目标有哪些?
  • 每个目标映射到多少受众,按最多到最少排序?
  • 将受众映射到目标会如何从一个快照更改为另一个快照?
选择以显示生成此分析的SQL
code language-sql
SELECT qsaccel.profile_agg.adwh_dim_destination.destination_name,
       qsaccel.profile_agg.adwh_dim_destination.destination_id,
       qsaccel.profile_agg.adwh_dim_destination.destination,
       count(DISTINCT qsaccel.profile_agg.adwh_dim_br_segment_destinations.segment_id) segment_count
  FROM qsaccel.profile_agg.adwh_dim_destination
  JOIN qsaccel.profile_agg.adwh_dim_br_segment_destinations ON qsaccel.profile_agg.adwh_dim_destination.destination_id = qsaccel.profile_agg.adwh_dim_br_segment_destinations.destination_id
  WHERE qsaccel.profile_agg.adwh_dim_destination.destination_name IS NOT NULL
  GROUP BY qsaccel.profile_agg.adwh_dim_destination.destination_name,
           qsaccel.profile_agg.adwh_dim_destination.destination,
           qsaccel.profile_agg.adwh_dim_destination.destination_id
  ORDER BY segment_count DESC
  LIMIT 20;

有关此分析的外观和功能的信息,请参阅最常用的目标构件文档

最近激活的受众 recently-activated-audiences

通过此洞察回答的问题:

  • 受众最近激活到哪个目标?
  • 如何查找按上次更新日期排序的所有目标的列表?
  • 如何根据最近的激活比较两个目标?
选择以显示生成此分析的SQL
code language-sql
SELECT
  segment_name,
  segment,
  destination_name,
  a.create_time create_time
FROM
  qsaccel.profile_agg.adwh_dim_br_segment_destinations a
  INNER JOIN qsaccel.profile_agg.adwh_dim_segments b ON a.segment_id = b.segment_id
  INNER JOIN qsaccel.profile_agg.adwh_dim_destination c ON a.destination_id = c.destination_id
ORDER BY
  create_time DESC,
  segment
LIMIT
  20;

有关此分析的外观和功能的信息,请参阅最近激活的受众小组件文档

最近激活的受众(按目标) recently-activated-audiences-by-destination

通过此洞察回答的问题:

  • 哪些受众已激活到特定目标?
  • 如何查找由特定受众激活的受众列表(从最近到最近)?
  • 如何按为特定目标激活的日期查找受众列表?
选择以显示生成此分析的SQL
code language-sql
SELECT c.destination_name,
       c.destination,
       c.destination_id,
       b.segment_name,
       b.segment,
       b.segment_id,
       a.create_time activated
  FROM qsaccel.profile_agg.adwh_dim_br_segment_destinations a
  INNER JOIN qsaccel.profile_agg.adwh_dim_segments b ON a.segment_id=b.segment_id
  INNER JOIN qsaccel.profile_agg.adwh_dim_destination c ON a.destination_id=c.destination_id
  WHERE c.destination_id=-1275507046
  ORDER BY a.create_time DESC,
           a.segment_id
  LIMIT 20;

有关此分析的外观和功能的信息,请参阅目标构件最近激活的受众文档

最近创建的目标 recently-created-destinations

通过此洞察回答的问题:

  • 哪些是最近创建的目标?
  • 如何查找目标列表及其创建日期?
  • 最近创建了什么新目标?
选择以显示生成此分析的SQL
code language-sql
SELECT DISTINCT
  destination,
  destination_name,
  create_time
FROM
  qsaccel.profile_agg.adwh_dim_destination
WHERE
  destination_status = 'enabled'
ORDER BY
  create_time DESC
LIMIT
  20;

有关此分析的外观和功能的信息,请参阅最近创建的目标构件文档

后续步骤 next-steps

通过阅读本文档,您现在了解了生成仪表板分析的SQL以及此分析可以解决哪些常见问题。 您现在可以编辑和迭代这些SQL查询以生成您自己的见解。

有关如何直接通过PLatform UI调整分析的SQL的详细信息,请参阅查看SQL文档

您还可以阅读并了解为配置文件帐户配置文件受众仪表板生成分析的SQL。

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