Date post: | 14-Jul-2015 |
Category: |
Technology |
Upload: | julien-lavigne-du-cadet |
View: | 1,385 times |
Download: | 3 times |
Device Publisher Cost
Iphone Google 0.1€
Android Yahoo 0.2€
Dimension Cost
Iphone 0.1€
Android 0.2€
Google 0.1€
Yahoo 0.1€
Iphone, Google 0.1€
Android, Yahoo 0,2€
Device Publisher Product Cost
Iphone Google Computer 0.1€
Android Yahoo Cloth 0.2€
Dimension Cost
Iphone 0.1€
Android 0.2€
Google 0.1€
Yahoo 0.1€
Computer 0.1€
Cloth 0.2€
Iphone, Google 0.1€
Iphone, Computer 0.1€
Google, Computer 0.1€
Android, Yahoo 0.2€
Android, Cloth 0.2€
Yahoo, Cloth 0.2€
Iphone, Google, Computer 0.1€
Android, Yahoo, Cloth 0.2€
SELECT sum(revenue) AS “Revenue",sum(sales) AS “Sales"
FROM customer-insightsWHERE client_id = 2255 AND date BETWEEN "2014-08-01" AND "2014-08-08"GROUP BY day(date)
{queryType: "Timeseries",dataSource: "customer-insights",granularity: "day",aggregations: [
{ type: "longSum", fieldName: "revenue", name: "Revenue" },{ type: "longSum ", fieldName: "sales", name: "Sales" }
],filter: { type: "selector", dimension: "client_id", value: 2255 },intervals: ["2014-08-01T00:00/2014-08-08T00"]
}
{queryType: "Timeseries",dataSource: "customer-insights",granularity: "day",aggregations: [
{ type: "longSum", fieldName: "revenue", name: "Revenue" },{ type: "longSum ", fieldName: "sales", name: "Sales" }
],filter: { type: "selector", dimension: "client_id", value: 2255 },intervals: ["2014-08-01T00:00/2014-08-08T00"]
}
{queryType: "Timeseries",dataSource: "customer-insights",granularity: "day",aggregations: [
{ type: "longSum", fieldName: "revenue", name: "Revenue" },{ type: "longSum ", fieldName: "sales", name: "Sales" }
],filter: { type: "selector", dimension: "client_id", value: 2255 },intervals: ["2014-08-01T00:00/2014-08-08T00"]
}
{queryType: "Timeseries",dataSource: "customer-insights",granularity: "day",aggregations: [
{ type: "longSum", fieldName: "revenue", name: "Revenue" },{ type: "longSum ", fieldName: "sales", name: "Sales" }
],filter: { type: "selector", dimension: "client_id", value: 2255 },intervals: ["2014-08-01T00:00/2014-08-08T00"]
}
{queryType: "Timeseries",dataSource: "customer-insights",granularity: "day",aggregations: [
{ type: "longSum", fieldName: "revenue", name: "Revenue" },{ type: "longSum ", fieldName: "sales", name: "Sales" }
],filter: { type: "selector", dimension: "client_id", value: 2255 },intervals: ["2014-08-01T00:00/2014-08-08T00"]
}
{queryType: "Timeseries",dataSource: "customer-insights",granularity: "day",aggregations: [
{ type: "longSum", fieldName: "revenue", name: "Revenue" },{ type: "longSum ", fieldName: "sales", name: "Sales" }
],filter: { type: "selector", dimension: "client_id", value: 2255 },intervals: ["2014-08-01T00:00/2014-08-08T00"]
}
{queryType: "Timeseries",dataSource: "customer-insights",granularity: "day",aggregations: [
{ type: "longSum", fieldName: "revenue", name: "Revenue" },{ type: "longSum ", fieldName: "sales", name: "Sales" }
],filter: { type: "selector", dimension: "client_id", value: 2255 },intervals: ["2014-08-01T00:00/2014-08-08T00"]
}
{queryType: "groupBy",dataSource: "customer-insights",granularity: "all",dimensions: ["device"],aggregations: [
{ type: "longSum", fieldName: "clicks", name: "Clicks" },{ type: "longSum", fieldName: "cost", name: "Cost" }
],filter: { type: "selector", dimension: "client_id", value: 2255 },intervals: ["2014-08-01T00:00/2014-08-08T00"]
}
Iphone Google 0.35€08:12:00
Android Yahoo 0.2€08:12:00
Iphone Google 0.1€08:12:37
Android Yahoo 0.2€08:12:38
Iphone Google 0.15€08:12:39
Iphone Google 0.1€08:12:40
Iphone Google 0.1€08:12:37
Android Yahoo 0.2€08:12:38
Iphone Google 0.15€08:13:02
Iphone Google 0.1€08:13:08
Iphone Google Computer 0.1€08:12:37
Android Yahoo Cloth 0.2€08:12:38
Iphone Google Computer 0.1€08:12:37
Android Yahoo Cloth 0.2€08:12:38
Filter Time period Aggregated rows Time
Biggest advertiser 6 months 1.5M 225ms
Android devices 1 month 42M 750ms
Desktop 1 month 110M 910ms
RTB networks 7 months 753M 2.4s