使用查询服务分析归因得分

数据中的每一行都表示一个转化，在该转化中，相关接触点的信息将存储为touchpointsDetail列下的结构数组。

接触点信息	栏目
接触点名称	`touchpointsDetail. touchpointName`
接触点渠道	`touchpointsDetail.touchPoint.mediaChannel`
接触点Attribution AI算法得分	`touchpointsDetail.scores.algorithmicSourced` `touchpointsDetail.scores.algorithmicInfluenced`

查找数据路径

在Adobe Experience Platform UI的左侧导航中，选择Datasets。此时会显示Datasets页面。接下来，选择Browse选项卡，并查找您的Attribution AI得分的输出数据集。

访问您的实例

选择输出数据集。此时会显示数据集活动页面。

数据集活动页面

在数据集活动页面中，选择右上角的预览数据集 ，以预览数据并确保按预期摄取数据。

预览数据集

预览数据后，选择右边栏中的架构。此时会出现一个弹出窗口，其中包含架构名称和描述。选择架构名称超链接可重定向到评分架构。

选择架构

使用评分架构，您可以选择或搜索值。选择字段属性侧边栏后，将打开该边栏，以便复制路径以用于创建查询。

复制路径

访问查询服务

要从Platform UI中访问查询服务，请首先在左侧导航中选择Querys ，然后选择Browse选项卡。将加载之前保存的查询列表。

查询服务浏览

接下来，选择右上角的创建查询。加载查询编辑器。使用查询编辑器，您可以开始使用评分数据创建查询。

查询编辑器

有关查询编辑器的详细信息，请访问查询编辑器用户指南。

用于归因分析的查询模板

以下查询可用作不同分数分析方案的模板。您需要将_tenantId和your_score_output_dataset替换为在评分输出架构中找到的正确值。

注意

根据数据的摄取方式，下面使用的值（如timestamp）可能采用不同的格式。

验证示例

按转化事件（在转化窗口内）划分的转化总数

    SELECT conversionName,
           SUM(scores.firstTouch) as total_conversions,
           SUM(scores.algorithmicSourced) as total_attributed_conversions
    FROM
        (SELECT
                _tenantId.your_score_output_dataset.conversionName
                    as conversionName,
                inline(_tenantId.your_score_output_dataset.touchpointsDetail),
                timestamp as conversion_timestamp
         FROM
                your_score_output_dataset
        )
    WHERE
        conversion_timestamp >= '2020-07-16'
      AND
        conversion_timestamp <  '2020-10-14'
    GROUP BY
        conversionName

仅转化事件的总数（在转化窗口内）

    SELECT
        _tenantId.your_score_output_dataset.conversionName as conversionName,
        COUNT(1) as convOnly_cnt
    FROM
        your_score_output_dataset
    WHERE
        _tenantId.your_score_output_dataset.touchpointsDetail.touchpointName[0] IS NULL AND
        timestamp >= '2020-07-16' AND
        timestamp <  '2020-10-14'
    GROUP BY
        conversionName

趋势分析示例

每日转化数

    SELECT conversionName,
           DATE(conversion_timestamp) as conversion_date,
           SUM(scores.firstTouch) as convertion_cnt
    FROM
        (SELECT
                _tenantId.your_score_output_dataset.conversionName as conversionName,
                inline(_tenantId.your_score_output_dataset.touchpointsDetail),
                timestamp as conversion_timestamp
         FROM
                your_score_output_dataset
        )
    GROUP BY
        conversionName, DATE(conversion_timestamp)
    ORDER BY
        conversionName, DATE(conversion_timestamp)
    LIMIT 20

分布分析示例

按定义类型（在转化窗口内）划分的转化路径上的接触点数量

    SELECT conversionName,
           touchpointName,
           COUNT(1) as tp_count
    FROM
        (SELECT
                _tenantId.your_score_output_dataset.conversionName as conversionName,
                inline(_tenantId.your_score_output_dataset.touchpointsDetail),
                timestamp as conversion_timestamp
         FROM
                your_score_output_dataset
        )
    WHERE
        conversion_timestamp >= '2020-07-16' AND
        conversion_timestamp < '2020-10-14' AND
        touchpointName IS NOT NULL
    GROUP BY
        conversionName, touchpointName
    ORDER BY
        conversionName, tp_count DESC

分析生成示例

按接触点和转化日期划分的增量单位（在转化窗口内）

    SELECT conversionName,
           touchpointName,
           DATE(conversion_timestamp) as conversion_date,
           SUM(scores.algorithmicSourced) as incremental_units
    FROM
        (SELECT
                _tenantId.your_score_output_dataset.conversionName as conversionName,
                inline(_tenantId.your_score_output_dataset.touchpointsDetail),
                timestamp as conversion_timestamp
         FROM
                your_score_output_dataset
        )
    WHERE
        conversion_timestamp >= '2020-07-16' AND
        conversion_timestamp < '2020-10-14'  AND
        touchpointName IS NOT NULL
    GROUP BY
        conversionName, touchpointName, DATE(conversion_timestamp)
    ORDER BY
        conversionName, touchpointName, DATE(conversion_timestamp)

按接触点和接触点日期划分的增量单位（在转化窗口内）

    SELECT conversionName,
           touchpointName,
           DATE(touchpoint.timestamp) as touchpoint_date,
           SUM(scores.algorithmicSourced) as incremental_units
    FROM
        (SELECT
                _tenantId.your_score_output_dataset.conversionName as conversionName,
                inline(_tenantId.your_score_output_dataset.touchpointsDetail),
                timestamp as conversion_timestamp
         FROM
                your_score_output_dataset
        )
    WHERE
        conversion_timestamp >= '2020-07-16' AND
        conversion_timestamp < '2020-10-14'  AND
        touchpointName IS NOT NULL
    GROUP BY
        conversionName, touchpointName, DATE(touchpoint.timestamp)
    ORDER BY
        conversionName, touchpointName, DATE(touchpoint.timestamp)
    LIMIT 20

所有评分模型的特定接触点类型的汇总得分（在转化窗口内）

    SELECT
           conversionName,
           touchpointName,
           SUM(scores.algorithmicSourced) as total_incremental_units,
           SUM(scores.algorithmicInfluenced) as total_influenced_units,
           SUM(scores.uShape) as total_uShape_units,
           SUM(scores.decayUnits) as total_decay_units,
           SUM(scores.linear) as total_linear_units,
           SUM(scores.lastTouch) as total_lastTouch_units,
           SUM(scores.firstTouch) as total_firstTouch_units
    FROM
        (SELECT
                _tenantId.your_score_output_dataset.conversionName as conversionName,
                inline(_tenantId.your_score_output_dataset.touchpointsDetail),
                timestamp as conversion_timestamp
         FROM
                your_score_output_dataset
        )
    WHERE
        conversion_timestamp >= '2020-07-16' AND
        conversion_timestamp < '2020-10-14'  AND
        touchpointName = 'display'
    GROUP BY
        conversionName, touchpointName
    ORDER BY
        conversionName, touchpointName

高级 — 路径长度分析

获取每个转化事件类型的路径长度分布：

    WITH agg_path AS (
          SELECT
            _tenantId.your_score_output_dataset.conversionName as conversionName,
            sum(size(_tenantId.your_score_output_dataset.touchpointsDetail)) as path_length
          FROM
            your_score_output_dataset
          WHERE
            _tenantId.your_score_output_dataset.touchpointsDetail.touchpointName[0] IS NOT NULL AND
            timestamp >= '2020-07-16' AND
            timestamp <  '2020-10-14'
          GROUP BY
            _tenantId.your_score_output_dataset.conversionName,
            eventMergeId
    )
    SELECT
        conversionName,
        path_length,
        count(1) as conversionPath_count
    FROM
        agg_path
    GROUP BY
        conversionName, path_length
    ORDER BY
        conversionName, path_length

高级 — 转化路径分析中的接触点数量不同

获取每个转化事件类型的转化路径上不同接触点数量的分布：

    WITH agg_path AS (
      SELECT
        _tenantId.your_score_output_dataset.conversionName as conversionName,
        size(array_distinct(flatten(collect_list(_tenantId.your_score_output_dataset.touchpointsDetail.touchpointName)))) as num_dist_tp
      FROM
        your_score_output_dataset
      WHERE
        _tenantId.your_score_output_dataset.touchpointsDetail.touchpointName[0] IS NOT NULL AND
        timestamp >= '2020-07-16' AND
        timestamp <  '2020-10-14'
      GROUP BY
        _tenantId.your_score_output_dataset.conversionName,
        eventMergeId
    )
    SELECT
        conversionName,
        num_dist_tp,
        count(1) as conversionPath_count
    FROM
     agg_path
    GROUP BY
        conversionName, num_dist_tp
    ORDER BY
        conversionName, num_dist_tp

架构扁平化和展开示例

此查询会将struct列拼合为多个单数列，并将数组分解为多行。这有助于将归因得分转换为CSV格式。此查询的输出具有一行中的一个转化，以及与该转化对应的接触点之一。

小贴士

在此示例中，除了_tenantId和your_score_output_dataset之外，还需要替换{COLUMN_NAME}。 COLUMN_NAME变量可采用配置Attribution AI实例期间添加的可选传递列名称（报表列）的值。请查看您的评分输出架构，以查找完成此查询所需的{COLUMN_NAME}值。

SELECT 
  segmentation,
  conversionName,
  scoreCreatedTime,
  aaid, _id, eventMergeId,
  conversion.eventType as conversion_eventType,
  conversion.quantity as conversion_quantity,
  conversion.eventSource as conversion_eventSource,
  conversion.priceTotal as conversion_priceTotal,
  conversion.timestamp as conversion_timestamp,
  conversion.geo as conversion_geo,
  conversion.receivedTimestamp as conversion_receivedTimestamp,
  conversion.dataSource as conversion_dataSource,
  conversion.productType as conversion_productType,
  conversion.passThrough.{COLUMN_NAME} as conversion_passThru_column,
  conversion.skuId as conversion_skuId,
  conversion.product as conversion_product,
  touchpointName,
  touchPoint.campaignGroup as tp_campaignGroup, 
  touchPoint.mediaType as tp_mediaType,
  touchPoint.campaignTag as tp_campaignTag,
  touchPoint.timestamp as tp_timestamp,
  touchPoint.geo as tp_geo,
  touchPoint.receivedTimestamp as tp_receivedTimestamp,
  touchPoint.passThrough.{COLUMN_NAME} as tp_passThru_column,
  touchPoint.campaignName as tp_campaignName,
  touchPoint.mediaAction as tp_mediaAction,
  touchPoint.mediaChannel as tp_mediaChannel,
  touchPoint.eventid as tp_eventid,
  scores.*
FROM (
  SELECT
        _tenantId.your_score_output_dataset.segmentation,
        _tenantId.your_score_output_dataset.conversionName,
        _tenantId.your_score_output_dataset.scoreCreatedTime,
        _tenantId.your_score_output_dataset.conversion,
        _id,
        eventMergeId,
        map_values(identityMap)[0][0].id as aaid,
        inline(_tenantId.your_score_output_dataset.touchpointsDetail)
  FROM
        your_score_output_dataset
)

新增和改进的搜索

使用查询服务分析归因得分

查找数据路径

访问查询服务

用于归因分析的查询模板

验证示例

趋势分析示例

分布分析示例

分析生成示例

架构扁平化和展开示例

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