Campaign Manager (formerly DoubleClick Campaign Manager) is a web-based ad management system that advertisers and agencies use to manage creative assets and run ad campaigns.

Google Data Studio is a simple dashboard and reporting tool. It's free and easy to use, but it lacks the sophisticated features of higher-end reporting software. Many of the connectors it supports are for Google products, but third parties have written partner connectors to a wide variety of data sources. Its drag-and-drop report editor lets users create about 15 types of charts.

Campaign Manager has an API that you can use to get information about advertisers, campaigns, creative assets, and more. For example, to get information about a campaign for a given profile, you would call GET /userprofiles/{profileId}/campaigns/{id}.

Here's an example of the kind of response you might see with a query like the one above.

{
  "kind": "dfareporting#campaign",
  "id": long,
  "idDimensionValue": dimensionValues Resource,
  "accountId": long,
  "subaccountId": long,
  "advertiserId": long,
  "advertiserIdDimensionValue": dimensionValues Resource,
  "advertiserGroupId": long,
  "name": string,
  "archived": boolean,
  "startDate": date,
  "endDate": date,
  "comment": string,
  "billingInvoiceCode": string,
  "audienceSegmentGroups": [
    {
      "id": long,
      "name": string,
      "audienceSegments": [
        {
          "id": long,
          "name": string,
          "allocation": integer
        }
      ]
    }
  ],
  "eventTagOverrides": [
    {
      "id": long,
      "enabled": boolean
    }
  ],
  "clickThroughUrlSuffixProperties": {
    "overrideInheritedSuffix": boolean,
    "clickThroughUrlSuffix": string
  },
  "defaultClickThroughEventTagProperties": {
    "overrideInheritedEventTag": boolean,
    "defaultClickThroughEventTagId": long
  },
  "creativeGroupIds": [
    long
  ],
  "creativeOptimizationConfiguration": {
    "optimizationModel": string,
    "optimizationActivitys": [
      {
        "floodlightActivityId": long,
        "floodlightActivityIdDimensionValue": dimensionValues Resource,
        "weight": integer
      }
    ],
    "id": long,
    "name": string
  },
  "additionalCreativeOptimizationConfigurations": [
    {
      "optimizationModel": string,
      "optimizationActivitys": [
        {
          "floodlightActivityId": long,
          "floodlightActivityIdDimensionValue": dimensionValues Resource,
          "weight": integer
        }
      ],
      "id": long,
      "name": string
    }
  ],
  "lookbackConfiguration": {
    "clickDuration": integer,
    "postImpressionActivitiesDuration": integer
  },
  "createInfo": {
    "time": long
  },
  "lastModifiedInfo": {
    "time": long
  },
  "traffickerEmails": [
    string
  ],
  "externalId": string,
  "nielsenOcrEnabled": boolean,
  "adBlockingConfiguration": {
    "enabled": boolean,
    "overrideClickThroughUrl": boolean,
    "clickThroughUrl": string,
    "creativeBundleId": long
  },
  "defaultLandingPageId": long
}

Google Data Studio uses what it calls "connectors" to gain access to data. Data Studio comes bundled with 17 connectors, mostly to pull in data from other Google products. It also supports connectors to MySQL and PostgreSQL databases, and offers 200 connectors to other data sources built and supported by partners.

Google Data Studio provides a graphical canvas onto which users drag and drop datasets. Users can set dimensions and metrics, specify sorting and filtering, and tailor the way reports and charts are displayed.

Now what? You've built a script that pulls data from the Campaign Manager API and loads it into your data warehouse, but what happens tomorrow when you have new data?

The key is to build your script in such a way that it can identify incremental updates to your data. Thankfully, many of the API results include fields like createInfo that allow you to identify records that are new since your last update (or since the newest record you've copied). Once you've take new data into account, you can set your script up as a cron job or continuous loop to keep pulling down new data as it appears.