Adobe Experience Platform允许您使用体验数据模型(XDM)字段从Adobe Analytics报表包中摄取数据,以填充数据集。 此分析数据会进行修改以符合 XDM ExperienceEvent 类。 然后,查询服务可以通过运行SQL查询来利用此数据,从用户在数字平台上的行为中生成有价值的分析。
本文档提供了各种SQL查询示例,这些示例演示了在从Web和移动分析数据创建分析时的常见用例。
请参阅 Analytics字段映射文档 有关摄取和映射分析数据的更多信息。
对于以下每个用例,都提供了参数化SQL查询示例作为模板供您进行自定义。 无论您在何处看到,都提供参数 { }
在SQL示例中,您希望评估的数据集、eVar、事件或时间范围。
以下示例显示用于分析Adobe Analytics数据的常见用例的SQL查询。
SELECT Substring(from_utc_timestamp(timestamp, 'America/New_York'), 1, 10) AS Day,
Substring(from_utc_timestamp(timestamp, 'America/New_York'), 12, 2) AS Hour,
Count(DISTINCT enduserids._experience.aaid.id) AS Visitor_Count
FROM {TARGET_TABLE}
WHERE TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}')
GROUP BY Day, Hour
ORDER BY Hour;
SELECT web.webpagedetails.name AS Page_Name,
Sum(web.webpagedetails.pageviews.value) AS Page_Views
FROM {TARGET_TABLE}
WHERE TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}')
GROUP BY web.webpagedetails.name
ORDER BY page_views DESC
LIMIT 10;
SELECT enduserids._experience.aaid.id AS aaid,
Count(timestamp) AS Count
FROM {TARGET_TABLE}
WHERE TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}')
GROUP BY enduserids._experience.aaid.id
ORDER BY Count DESC
LIMIT 10;
SELECT concat(placeContext.geo.stateProvince, ' - ', placeContext.geo.city) AS state_city,
Count(timestamp) AS Count
FROM {TARGET_TABLE}
WHERE TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}')
GROUP BY state_city
ORDER BY Count DESC
LIMIT 10;
SELECT Product_SKU,
Sum(Product_Views) AS Total_Product_Views
FROM (SELECT Explode(productlistitems.sku) AS Product_SKU,
commerce.productviews.value AS Product_Views
FROM {TARGET_TABLE}
WHERE TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}')
AND commerce.productviews.value IS NOT NULL)
GROUP BY Product_SKU
ORDER BY Total_Product_Views DESC
LIMIT 10;
SELECT Purchase_ID,
Round(Sum(Product_Items.priceTotal * Product_Items.quantity), 2) AS Total_Order_Revenue
FROM (SELECT commerce.`order`.purchaseid AS Purchase_ID,
Explode(productlistitems) AS Product_Items
FROM {TARGET_TABLE}
WHERE commerce.`order`.purchaseid IS NOT NULL
AND TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}')
GROUP BY Purchase_ID
ORDER BY total_order_revenue DESC
LIMIT 10;