Delete a strategy plan

Campaigns API (xx.xx.xx)

MediaMath Platform API

Download OpenAPI description

openapi.json

openapi.yaml

Overview

URL https://mediamathsupport.force.com/

Support developers@mediamath.com

Servers

Mock server

https://apidocs.mediamath.com/_mock/apis/campaigns-api/openapi/

Organizations

Operations

Agencies

Operations

Advertisers

Operations

Campaigns

Operations

Strategies

Operations

Targeting

Operations

Vendor Contracts

Operations

Strategy Templates

Operations

Atomic Creatives

Operations

Concepts

Operations

Creatives

Operations

Pixel Bundles

Operations

Campaign Plans

Operations

Strategy Plans

Operations

Bulk Update

Operations

Marketplaces

Operations

Users

Operations

Enterprise Controls

Operations

General

Operations

Currency Rates

Operations

Site Lists

Operations

Timezones

Operations

Strategy Groups

Operations

Strategy Day Parts

Operations

Strategy Deals

Operations

Strategy IP Addresses

Operations

Strategy Concepts

Operations

Targeting Segments

Operations

Strategy Target Values

Operations

List Organization Settings

Operations

Update Organization Settings

Operations

New Strategy Plans

Operations

Post ephemeral new strategy plan to run a forecast

Request

Post a strategy plan object to run forcast without saving the strategy plan

Bodyapplication/jsonrequired

advertiser_idinteger

campaign_plan_idinteger

channelsArray of strings

namestring<= 128 characters

feature_compatibilitystring<= 1024 characters

device_graph_onlyboolean

idinteger

versioninteger

campaign_idinteger

zone_namestring

Example: "America/New_York"

campaign_service_typestring

typestring

durationobject(strategy_plan_duration)

budgetobject(strategy_plan_budget)

goalsobject(strategy_plan_goals)

frequencyobject(strategy_plan_frequency)

inventoryobject(strategy_plan_inventory)

targetingobject(strategy_plan_targeting)

creativesobject(strategy_plan_creatives)

curl -i -X POST \
  https://apidocs.mediamath.com/_mock/apis/campaigns-api/openapi/new_strategy_plans/forecast \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>' \
  -H 'Content-Type: application/json' \
  -d '{
    "advertiser_id": 0,
    "campaign_plan_id": 0,
    "channels": [
      "string"
    ],
    "name": "string",
    "feature_compatibility": "string",
    "device_graph_only": true,
    "id": 0,
    "version": 0,
    "campaign_id": 0,
    "zone_name": "America/New_York",
    "campaign_service_type": "string",
    "type": "string",
    "duration": {
      "use_campaign_start": true,
      "use_campaign_end": true,
      "start_date": "2019-08-24T14:15:22Z",
      "end_date": "2019-08-24T14:15:22Z"
    },
    "budget": {
      "budget": 0.1,
      "currency_code": "string"
    },
    "goals": {
      "goal_type": "spend",
      "goal_value": 999999999.9999,
      "min_bid": 9999999.99,
      "max_bid": 0.01,
      "roi_target": 999999999.99,
      "bid_min_devices": 0,
      "bid_aggressiveness": 100,
      "bid_price_is_media_only": true,
      "max_bid_wm": 9999999.99,
      "use_bid_shading": true
    },
    "frequency": {
      "frequency_type": "even",
      "frequency_interval": "hour",
      "frequency_amount": 0,
      "frequency_optimization": true
    },
    "inventory": {
      "run_on_all_pmp": true,
      "run_on_all_exchanges": true,
      "site_restriction_transparent_urls": true,
      "domain_restrictions": {
        "include": [
          {
            "domain": "www.mediamath.com",
            "target_type": "DOMAIN"
          }
        ],
        "exclude": [
          {
            "domain": "www.mediamath.com",
            "target_type": "DOMAIN"
          }
        ]
      },
      "site_lists": [
        {
          "site_list_id": 0,
          "assigned": true
        }
      ],
      "deals": [
        {
          "deal_id": 0
        }
      ],
      "deal_groups": [
        {
          "deal_group_id": 0
        }
      ],
      "supply_sources": [
        {
          "supply_source_id": 0
        }
      ]
    },
    "targeting": {
      "fold_position": [
        "ABOVE"
      ],
      "audience": {
        "include": [
          {
            "operator": "AND",
            "segments": [
              {
                "audience_segment_id": 0,
                "user_cpm": 0.1
              }
            ]
          }
        ],
        "exclude": {
          "operator": "AND",
          "segments": [
            {
              "audience_segment_id": 0,
              "user_cpm": 0.1
            }
          ]
        }
      },
      "contextual": {
        "include": [
          {
            "code": "string",
            "operator": "AND",
            "segments": [
              {
                "targeting_segment_id": 0,
                "user_cpm": 0.1
              }
            ]
          }
        ],
        "exclude": {
          "code": "string",
          "operator": "AND",
          "segments": [
            {
              "targeting_segment_id": 0,
              "user_cpm": 0.1
            }
          ]
        }
      },
      "postal_codes": {
        "restriction": "INCLUDE",
        "codes": [
          "us-14392",
          "us-24981",
          "us-25632",
          "us-16191",
          "us-48574",
          "us14392",
          "us24981",
          "us25632",
          "us16191",
          "us48574",
          "14392",
          "24981",
          "25632",
          "16191",
          "48574"
        ]
      },
      "geofence": {
        "include": {
          "operator": "AND",
          "segments": [
            {
              "geofence_segment_id": 0
            }
          ]
        },
        "exclude": {
          "operator": "AND",
          "segments": [
            {
              "geofence_segment_id": 0
            }
          ]
        }
      },
      "my_data": {
        "include": {
          "operator": "AND",
          "pixels": [
            {
              "pixel_id": 0
            }
          ]
        },
        "exclude": {
          "operator": "AND",
          "pixels": [
            {
              "pixel_id": 0
            }
          ]
        }
      },
      "location": {
        "include": [
          {
            "operator": "string",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ],
        "exclude": [
          {
            "operator": "string",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ]
      },
      "technology": {
        "include": [
          {
            "operator": "string",
            "code": "BSER",
            "target_value_id": 0
          }
        ],
        "exclude": [
          {
            "operator": "string",
            "code": "BSER",
            "target_value_id": 0
          }
        ]
      },
      "ip_addresses": {
        "restriction": "INCLUDE",
        "codes": [
          "string"
        ]
      },
      "day_parts": [
        {
          "user_time": true,
          "start_hour": 1,
          "end_hour": 5,
          "days": [
            "M",
            "T",
            "W",
            "S",
            "U"
          ]
        }
      ],
      "recency": [
        {
          "pixel_id": 0,
          "from_hour": 0,
          "to_hour": 0
        }
      ],
      "language_codes": [
        {
          "code": "string",
          "name": "string"
        }
      ]
    },
    "creatives": {
      "ad_expandable": true,
      "ad_formats": [
        "string"
      ],
      "ad_sizes": [
        "string"
      ]
    }
  }'

Responses

new strategy plan response

Bodyapplication/json

dataobject(new_strategy_plan_full)

New Strategy Plan

metaobject

Response

application/json

{
  "data": {
    "campaign_start_date": "2019-08-24T14:15:22Z",
    "campaign_end_date": "2019-08-24T14:15:22Z",
    "campaign_zone_name": "string",
    "name": "string",
    "feature_compatibility": "string",
    "device_graph_only": true,
    "id": 0,
    "version": 0,
    "campaign_id": 0,
    "zone_name": "America/New_York",
    "campaign_service_type": "string",
    "type": "string",
    "duration": { … },
    "budget": { … },
    "goals": { … },
    "frequency": { … },
    "inventory": { … },
    "targeting": { … },
    "creatives": { … }
  },
  "meta": {
    "status": "success"
  }
}

Run and update forecast for given strategy_plan_id

Request

Run and update forecast for given strategy_plan_id

Path

strategy_plan_idintegerrequired

Numeric ID of the strategy_plan object to run a forecast

curl -i -X POST \
  'https://apidocs.mediamath.com/_mock/apis/campaigns-api/openapi/new_strategy_plans/{strategy_plan_id}/forecast' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

new strategy plan response

Bodyapplication/json

dataobject(new_strategy_plan_full)

New Strategy Plan

metaobject

Response

application/json

{
  "data": {
    "campaign_start_date": "2019-08-24T14:15:22Z",
    "campaign_end_date": "2019-08-24T14:15:22Z",
    "campaign_zone_name": "string",
    "name": "string",
    "feature_compatibility": "string",
    "device_graph_only": true,
    "id": 0,
    "version": 0,
    "campaign_id": 0,
    "zone_name": "America/New_York",
    "campaign_service_type": "string",
    "type": "string",
    "duration": { … },
    "budget": { … },
    "goals": { … },
    "frequency": { … },
    "inventory": { … },
    "targeting": { … },
    "creatives": { … }
  },
  "meta": {
    "status": "success"
  }
}

Get Strategy Plan

Request

Get a strategy plan

Path

strategy_plan_idintegerrequired

Numeric ID of the strategy_plan object to get

curl -i -X GET \
  'https://apidocs.mediamath.com/_mock/apis/campaigns-api/openapi/new_strategy_plans/{strategy_plan_id}' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

new strategy plan response

Bodyapplication/json

dataobject(new_strategy_plan_full)

New Strategy Plan

metaobject

Response

application/json

{
  "data": {
    "campaign_start_date": "2019-08-24T14:15:22Z",
    "campaign_end_date": "2019-08-24T14:15:22Z",
    "campaign_zone_name": "string",
    "name": "string",
    "feature_compatibility": "string",
    "device_graph_only": true,
    "id": 0,
    "version": 0,
    "campaign_id": 0,
    "zone_name": "America/New_York",
    "campaign_service_type": "string",
    "type": "string",
    "duration": { … },
    "budget": { … },
    "goals": { … },
    "frequency": { … },
    "inventory": { … },
    "targeting": { … },
    "creatives": { … }
  },
  "meta": {
    "status": "success"
  }
}

Update a strategy plan

Request

Update a strategy plan

Path

strategy_plan_idintegerrequired

Numeric ID of the strategy_plan object to update

Bodyapplication/jsonrequired

versioninteger

campaign_plan_idinteger

channelsArray of strings

namestring<= 128 characters

feature_compatibilitystring<= 1024 characters

device_graph_onlyboolean

idinteger

campaign_idinteger

zone_namestring

Example: "America/New_York"

campaign_service_typestring

typestring

durationobject(strategy_plan_duration)

budgetobject(strategy_plan_budget)

goalsobject(strategy_plan_goals)

frequencyobject(strategy_plan_frequency)

inventoryobject(strategy_plan_inventory)

targetingobject(strategy_plan_targeting)

creativesobject(strategy_plan_creatives)

curl -i -X POST \
  'https://apidocs.mediamath.com/_mock/apis/campaigns-api/openapi/new_strategy_plans/{strategy_plan_id}' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>' \
  -H 'Content-Type: application/json' \
  -d '{
    "version": 0,
    "campaign_plan_id": 0,
    "channels": [
      "string"
    ],
    "name": "string",
    "feature_compatibility": "string",
    "device_graph_only": true,
    "id": 0,
    "campaign_id": 0,
    "zone_name": "America/New_York",
    "campaign_service_type": "string",
    "type": "string",
    "duration": {
      "use_campaign_start": true,
      "use_campaign_end": true,
      "start_date": "2019-08-24T14:15:22Z",
      "end_date": "2019-08-24T14:15:22Z"
    },
    "budget": {
      "budget": 0.1,
      "currency_code": "string"
    },
    "goals": {
      "goal_type": "spend",
      "goal_value": 999999999.9999,
      "min_bid": 9999999.99,
      "max_bid": 0.01,
      "roi_target": 999999999.99,
      "bid_min_devices": 0,
      "bid_aggressiveness": 100,
      "bid_price_is_media_only": true,
      "max_bid_wm": 9999999.99,
      "use_bid_shading": true
    },
    "frequency": {
      "frequency_type": "even",
      "frequency_interval": "hour",
      "frequency_amount": 0,
      "frequency_optimization": true
    },
    "inventory": {
      "run_on_all_pmp": true,
      "run_on_all_exchanges": true,
      "site_restriction_transparent_urls": true,
      "domain_restrictions": {
        "include": [
          {
            "domain": "www.mediamath.com",
            "target_type": "DOMAIN"
          }
        ],
        "exclude": [
          {
            "domain": "www.mediamath.com",
            "target_type": "DOMAIN"
          }
        ]
      },
      "site_lists": [
        {
          "site_list_id": 0,
          "assigned": true
        }
      ],
      "deals": [
        {
          "deal_id": 0
        }
      ],
      "deal_groups": [
        {
          "deal_group_id": 0
        }
      ],
      "supply_sources": [
        {
          "supply_source_id": 0
        }
      ]
    },
    "targeting": {
      "fold_position": [
        "ABOVE"
      ],
      "audience": {
        "include": [
          {
            "operator": "AND",
            "segments": [
              {
                "audience_segment_id": 0,
                "user_cpm": 0.1
              }
            ]
          }
        ],
        "exclude": {
          "operator": "AND",
          "segments": [
            {
              "audience_segment_id": 0,
              "user_cpm": 0.1
            }
          ]
        }
      },
      "contextual": {
        "include": [
          {
            "code": "string",
            "operator": "AND",
            "segments": [
              {
                "targeting_segment_id": 0,
                "user_cpm": 0.1
              }
            ]
          }
        ],
        "exclude": {
          "code": "string",
          "operator": "AND",
          "segments": [
            {
              "targeting_segment_id": 0,
              "user_cpm": 0.1
            }
          ]
        }
      },
      "postal_codes": {
        "restriction": "INCLUDE",
        "codes": [
          "us-14392",
          "us-24981",
          "us-25632",
          "us-16191",
          "us-48574",
          "us14392",
          "us24981",
          "us25632",
          "us16191",
          "us48574",
          "14392",
          "24981",
          "25632",
          "16191",
          "48574"
        ]
      },
      "geofence": {
        "include": {
          "operator": "AND",
          "segments": [
            {
              "geofence_segment_id": 0
            }
          ]
        },
        "exclude": {
          "operator": "AND",
          "segments": [
            {
              "geofence_segment_id": 0
            }
          ]
        }
      },
      "my_data": {
        "include": {
          "operator": "AND",
          "pixels": [
            {
              "pixel_id": 0
            }
          ]
        },
        "exclude": {
          "operator": "AND",
          "pixels": [
            {
              "pixel_id": 0
            }
          ]
        }
      },
      "location": {
        "include": [
          {
            "operator": "string",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ],
        "exclude": [
          {
            "operator": "string",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ]
      },
      "technology": {
        "include": [
          {
            "operator": "string",
            "code": "BSER",
            "target_value_id": 0
          }
        ],
        "exclude": [
          {
            "operator": "string",
            "code": "BSER",
            "target_value_id": 0
          }
        ]
      },
      "ip_addresses": {
        "restriction": "INCLUDE",
        "codes": [
          "string"
        ]
      },
      "day_parts": [
        {
          "user_time": true,
          "start_hour": 1,
          "end_hour": 5,
          "days": [
            "M",
            "T",
            "W",
            "S",
            "U"
          ]
        }
      ],
      "recency": [
        {
          "pixel_id": 0,
          "from_hour": 0,
          "to_hour": 0
        }
      ],
      "language_codes": [
        {
          "code": "string",
          "name": "string"
        }
      ]
    },
    "creatives": {
      "ad_expandable": true,
      "ad_formats": [
        "string"
      ],
      "ad_sizes": [
        "string"
      ]
    }
  }'

Responses

new strategy plan response

Bodyapplication/json

dataobject(new_strategy_plan_full)

New Strategy Plan

metaobject

Response

application/json

{
  "data": {
    "campaign_start_date": "2019-08-24T14:15:22Z",
    "campaign_end_date": "2019-08-24T14:15:22Z",
    "campaign_zone_name": "string",
    "name": "string",
    "feature_compatibility": "string",
    "device_graph_only": true,
    "id": 0,
    "version": 0,
    "campaign_id": 0,
    "zone_name": "America/New_York",
    "campaign_service_type": "string",
    "type": "string",
    "duration": { … },
    "budget": { … },
    "goals": { … },
    "frequency": { … },
    "inventory": { … },
    "targeting": { … },
    "creatives": { … }
  },
  "meta": {
    "status": "success"
  }
}

Delete a strategy plan

Request

Delete a strategy plan

Path

strategy_plan_idintegerrequired

Array numeric IDs of the strategy_plan object to delete

curl -i -X DELETE \
  'https://apidocs.mediamath.com/_mock/apis/campaigns-api/openapi/new_strategy_plans/{strategy_plan_id}' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

deleted strategy plans response

Bodyapplication/json

dataobject or null

metaobject

Response

application/json

{
  "data": {},
  "meta": {
    "status": "success"
  }
}

List New Strategy Plans

Request

Get a list of strategy plans

Query

organization_idinteger

Numeric ID of the organization to get campaign plans for

agency_idinteger

Numeric ID of the agency to get campaign plans for

advertiser_idinteger

Numeric ID of the advertiser to get campaign plans for

page_limitinteger[ 1 .. 1000 ]

Number of elements in the collection to retrieve

Example: page_limit=100

page_offsetinteger[ 0 .. 1000 ]

Index of the first element in the collection to retrieve

Example: page_offset=0

sort_bystring

The field to sort by. You can use any field name in ascending or descending order. For ascending order, use the field name directly, e.g., id. For descending order, prefix the field name with a hyphen (-), e.g., -id.

Example: sort_by=id, -id, name, -name

sort_orderstring

Sorting order for the sort_by parameter for the result list

qstring

Query search for filtering. This parameter can be used to filter results based on various fields.

q=name=:{search}* to find all results with names starting with "search".
q=status==true to find all active entities.
q=id>=1000 to find all entities with id greater than or equal to 1000.

curl -i -X GET \
  'https://apidocs.mediamath.com/_mock/apis/campaigns-api/openapi/new_strategy_plans?advertiser_id=0&agency_id=0&organization_id=0&page_limit=100&page_offset=0&q=string&sort_by=id%2C%20-id%2C%20name%2C%20-name&sort_order=string' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

strategy plan list that matches the parameter criteria

Bodyapplication/json

dataArray of objects(new_strategy_plan_full)

metaobject(pagination metadata)

Response

application/json

{
  "data": [
    { … }
  ],
  "meta": {
    "status": "success",
    "count": 10,
    "total_count": 100,
    "offset": 0,
    "next_page": "string",
    "prev_page": "string"
  }
}

Create New Strategy Plan

Request

Create a new strategy plan

Bodyapplication/jsonrequired

advertiser_idinteger

campaign_plan_idinteger

channelsArray of strings

namestring<= 128 characters

feature_compatibilitystring<= 1024 characters

device_graph_onlyboolean

idinteger

versioninteger

campaign_idinteger

zone_namestring

Example: "America/New_York"

campaign_service_typestring

typestring

durationobject(strategy_plan_duration)

budgetobject(strategy_plan_budget)

goalsobject(strategy_plan_goals)

frequencyobject(strategy_plan_frequency)

inventoryobject(strategy_plan_inventory)

targetingobject(strategy_plan_targeting)

creativesobject(strategy_plan_creatives)

curl -i -X POST \
  https://apidocs.mediamath.com/_mock/apis/campaigns-api/openapi/new_strategy_plans \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>' \
  -H 'Content-Type: application/json' \
  -d '{
    "advertiser_id": 0,
    "campaign_plan_id": 0,
    "channels": [
      "string"
    ],
    "name": "string",
    "feature_compatibility": "string",
    "device_graph_only": true,
    "id": 0,
    "version": 0,
    "campaign_id": 0,
    "zone_name": "America/New_York",
    "campaign_service_type": "string",
    "type": "string",
    "duration": {
      "use_campaign_start": true,
      "use_campaign_end": true,
      "start_date": "2019-08-24T14:15:22Z",
      "end_date": "2019-08-24T14:15:22Z"
    },
    "budget": {
      "budget": 0.1,
      "currency_code": "string"
    },
    "goals": {
      "goal_type": "spend",
      "goal_value": 999999999.9999,
      "min_bid": 9999999.99,
      "max_bid": 0.01,
      "roi_target": 999999999.99,
      "bid_min_devices": 0,
      "bid_aggressiveness": 100,
      "bid_price_is_media_only": true,
      "max_bid_wm": 9999999.99,
      "use_bid_shading": true
    },
    "frequency": {
      "frequency_type": "even",
      "frequency_interval": "hour",
      "frequency_amount": 0,
      "frequency_optimization": true
    },
    "inventory": {
      "run_on_all_pmp": true,
      "run_on_all_exchanges": true,
      "site_restriction_transparent_urls": true,
      "domain_restrictions": {
        "include": [
          {
            "domain": "www.mediamath.com",
            "target_type": "DOMAIN"
          }
        ],
        "exclude": [
          {
            "domain": "www.mediamath.com",
            "target_type": "DOMAIN"
          }
        ]
      },
      "site_lists": [
        {
          "site_list_id": 0,
          "assigned": true
        }
      ],
      "deals": [
        {
          "deal_id": 0
        }
      ],
      "deal_groups": [
        {
          "deal_group_id": 0
        }
      ],
      "supply_sources": [
        {
          "supply_source_id": 0
        }
      ]
    },
    "targeting": {
      "fold_position": [
        "ABOVE"
      ],
      "audience": {
        "include": [
          {
            "operator": "AND",
            "segments": [
              {
                "audience_segment_id": 0,
                "user_cpm": 0.1
              }
            ]
          }
        ],
        "exclude": {
          "operator": "AND",
          "segments": [
            {
              "audience_segment_id": 0,
              "user_cpm": 0.1
            }
          ]
        }
      },
      "contextual": {
        "include": [
          {
            "code": "string",
            "operator": "AND",
            "segments": [
              {
                "targeting_segment_id": 0,
                "user_cpm": 0.1
              }
            ]
          }
        ],
        "exclude": {
          "code": "string",
          "operator": "AND",
          "segments": [
            {
              "targeting_segment_id": 0,
              "user_cpm": 0.1
            }
          ]
        }
      },
      "postal_codes": {
        "restriction": "INCLUDE",
        "codes": [
          "us-14392",
          "us-24981",
          "us-25632",
          "us-16191",
          "us-48574",
          "us14392",
          "us24981",
          "us25632",
          "us16191",
          "us48574",
          "14392",
          "24981",
          "25632",
          "16191",
          "48574"
        ]
      },
      "geofence": {
        "include": {
          "operator": "AND",
          "segments": [
            {
              "geofence_segment_id": 0
            }
          ]
        },
        "exclude": {
          "operator": "AND",
          "segments": [
            {
              "geofence_segment_id": 0
            }
          ]
        }
      },
      "my_data": {
        "include": {
          "operator": "AND",
          "pixels": [
            {
              "pixel_id": 0
            }
          ]
        },
        "exclude": {
          "operator": "AND",
          "pixels": [
            {
              "pixel_id": 0
            }
          ]
        }
      },
      "location": {
        "include": [
          {
            "operator": "string",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ],
        "exclude": [
          {
            "operator": "string",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ]
      },
      "technology": {
        "include": [
          {
            "operator": "string",
            "code": "BSER",
            "target_value_id": 0
          }
        ],
        "exclude": [
          {
            "operator": "string",
            "code": "BSER",
            "target_value_id": 0
          }
        ]
      },
      "ip_addresses": {
        "restriction": "INCLUDE",
        "codes": [
          "string"
        ]
      },
      "day_parts": [
        {
          "user_time": true,
          "start_hour": 1,
          "end_hour": 5,
          "days": [
            "M",
            "T",
            "W",
            "S",
            "U"
          ]
        }
      ],
      "recency": [
        {
          "pixel_id": 0,
          "from_hour": 0,
          "to_hour": 0
        }
      ],
      "language_codes": [
        {
          "code": "string",
          "name": "string"
        }
      ]
    },
    "creatives": {
      "ad_expandable": true,
      "ad_formats": [
        "string"
      ],
      "ad_sizes": [
        "string"
      ]
    }
  }'

Responses

new strategy plan response

Bodyapplication/json

dataobject(new_strategy_plan_full)

New Strategy Plan

metaobject

Response

application/json

{
  "data": {
    "campaign_start_date": "2019-08-24T14:15:22Z",
    "campaign_end_date": "2019-08-24T14:15:22Z",
    "campaign_zone_name": "string",
    "name": "string",
    "feature_compatibility": "string",
    "device_graph_only": true,
    "id": 0,
    "version": 0,
    "campaign_id": 0,
    "zone_name": "America/New_York",
    "campaign_service_type": "string",
    "type": "string",
    "duration": { … },
    "budget": { … },
    "goals": { … },
    "frequency": { … },
    "inventory": { … },
    "targeting": { … },
    "creatives": { … }
  },
  "meta": {
    "status": "success"
  }
}

Strategy Plan Target Values

Operations

Campaigns Budget Flights

Operations

User Settings

Operations

Update User Settings

Operations

Supply Sources

Operations

Vendors

Operations

Ad Servers

Operations

Site Lists Site Download

Operations

Site Lists Assignments

Operations

Targeting Segment Objectives

Operations

Targeting Segment Objective

Operations

Campaigns API (xx.xx.xx)

Organizations

Agencies

Advertisers

Campaigns

Strategies

Targeting

Vendor Contracts

Strategy Templates

Atomic Creatives

Concepts

Creatives

Pixel Bundles

Campaign Plans

Strategy Plans

Bulk Update

Marketplaces

Users

Enterprise Controls

General

Currency Rates

Site Lists

Timezones

Strategy Groups

Strategy Day Parts

Strategy Deals

Strategy IP Addresses

Strategy Concepts

Targeting Segments

Strategy Target Values

List Organization Settings

Update Organization Settings

New Strategy Plans

Post ephemeral new strategy plan to run a forecast

RequestExpand all

Responses

Was this helpful?

Run and update forecast for given strategy_plan_id

Request

Responses

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Get Strategy Plan

Request

Responses

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Update a strategy plan

RequestExpand all

Responses

Was this helpful?

Delete a strategy plan

Request

Responses

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List New Strategy Plans

Request

Responses

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Create New Strategy Plan

RequestExpand all

Responses

Was this helpful?

Strategy Plan Target Values

Campaigns Budget Flights

User Settings

Update User Settings

Supply Sources

Vendors

Ad Servers

Site Lists Site Download

Site Lists Assignments

Targeting Segment Objectives

Targeting Segment Objective

Request

Request

Request