与Adobe Analytics交互
概述 overview
Adobe Analytics数据收集通过将XDM数据转换为Adobe Analytics可以理解的格式来工作。 多个XDM字段包括 自动映射 到Analytics变量。 您还可以手动将XDM值映射到旧版Analytics变量。
要使Adobe Analytics能够接收来自服务器API的数据，您需要 配置数据流 要在数据流配置页面中输入报表包ID，将事件转发到Adobe Analytics。
与Adobe Analytics交互 interacting-analytics
API格式 format
POST /ee/v2/interact?dataStreamId={DATASTREAM_ID}
请求 request
下面的示例包含来自以下项的多个自动映射值： _experience.analytics 字段组。 它还包含基于JSON的数据层。 虽然这些数据层无法自动映射，但可以使用 为数据收集准备数据 将这些值映射到包含上述字段组的架构。
用户映射到这些字段的所有值都将自动映射到相应的Analytics值，就像它们包含在API请求中一样。
curl -X POST "https://server.adobedc.net/ee/v2/interact?dataStreamId={DATASTREAM_ID}" \
-H "Authorization: Bearer {TOKEN}"
-H "x-gw-ims-org-id: {ORG_ID}"
-H "x-api-key: {API_KEY}"
-H "Content-Type: application/json" \
-d '{
"event": {
"xdm": {
"eventType": "web.webpagedetails.pageViews",
"web": {
"webPageDetails": {
"URL": "https://alloystore.dev",
"name": "Home Page"
},
"webReferrer": {
"URL": ""
}
},
"device": {
"screenHeight": 1440,
"screenWidth": 3440,
"screenOrientation": "landscape"
},
"environment": {
"type": "browser",
"browserDetails": {
"viewportWidth": 3440,
"viewportHeight": 1440
}
},
"placeContext": {
"localTime": "2022-03-22T22:45:21.193-06:00",
"localTimezoneOffset": 360
},
"timestamp": "2022-03-23T04:45:21.193Z",
"implementationDetails": {
"name": "https://ns.adobe.com/experience/alloy/reactor",
"version": "2.8.0+2.9.0",
"environment": "browser"
},
"_experience": {
"analytics": {
"customDimensions": {
"eVars": {
"eVar14": "eVar14"
}
},
"event1to100": {
"event13": {
"value": 1
},
"event14": {
"value": 2
}
}
}
}
}
},
"data": {
"page": {
"pageInfo": {
"pageName": "Promotions",
"siteSection": "Home"
},
"promos": {
"heroPromos": "purse,shoes,sunglasses"
},
"customVariables": {
"testGroup": "orange/black theme"
},
"events": {
"homePage": true
},
"products": [
{
"productSKU": "abc123",
"productName": "shirt"
}
]
}
}
}'
响应 response
{
"requestId": "d2ad6364-5675-4a86-ba41-50e7a4c4a299",
"handle": []
}
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