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Campaigns API (xx.xx.xx)

MediaMath Platform API

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https://api.mediamath.com/api/v3.0/

Operations
Operations
Operations
Operations

Campaigns Budget Flights

Campaigns Budget Flights

Operations
Operations
Operations

Strategy Parameters

Strategy Parameters

Operations

Strategy Templates

Strategy Templates

Operations

New Strategy Plans

New Strategy Plans

Operations

Post Ephemeral New Strategy Plan to Run a Forecast

Request

Post a new strategy plan object to run forecast without saving the strategy plan

Security
Auth0
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://api.mediamath.com/api/v3.0/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": "AND",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ],
        "exclude": [
          {
            "operator": "AND",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ]
      },
      "technology": {
        "include": [
          {
            "operator": "AND",
            "code": "BSER",
            "target_value_id": 0
          }
        ],
        "exclude": [
          {
            "operator": "AND",
            "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

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 New Strategy Plan

Request

Run and update forecast for given new strategy plan ID

Security
Auth0
Path
strategy_plan_idintegerrequired

Numeric ID of the strategy_plan object to run a forecast

curl -i -X POST \
  'https://api.mediamath.com/api/v3.0/new_strategy_plans/{strategy_plan_id}/forecast' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

New strategy plan response

Bodyapplication/json
dataobject

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" } }

Request

Get a new strategy plan by ID

Security
Auth0
Path
strategy_plan_idintegerrequired

Numeric ID of the strategy_plan object to get

curl -i -X GET \
  'https://api.mediamath.com/api/v3.0/new_strategy_plans/{strategy_plan_id}' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

New strategy plan response

Bodyapplication/json
dataobject

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" } }

Request

Update a new strategy plan by ID

Security
Auth0
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://api.mediamath.com/api/v3.0/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": "AND",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ],
        "exclude": [
          {
            "operator": "AND",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ]
      },
      "technology": {
        "include": [
          {
            "operator": "AND",
            "code": "BSER",
            "target_value_id": 0
          }
        ],
        "exclude": [
          {
            "operator": "AND",
            "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

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" } }

Request

Delete a new strategy plan by ID

Security
Auth0
Path
strategy_plan_idintegerrequired

Array numeric IDs of the strategy_plan object to delete

curl -i -X DELETE \
  'https://api.mediamath.com/api/v3.0/new_strategy_plans/{strategy_plan_id}' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

Strategy plans deleted response

Bodyapplication/json
metaobject(single_metadata)
Response
application/json
{ "meta": { "status": "success" } }

Request

Get a list of new strategy plans

Security
Auth0
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
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.
  • q=id==(1,2,3) find specific entities by ID.
curl -i -X GET \
  'https://api.mediamath.com/api/v3.0/new_strategy_plans?organization_id=0&agency_id=0&advertiser_id=0&page_limit=100&page_offset=0&sort_by=id%2C+-id%2C+name%2C+-name&q=string' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

List new strategy plans response

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" } }

Request

Create a new strategy plan

Security
Auth0
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://api.mediamath.com/api/v3.0/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": "AND",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ],
        "exclude": [
          {
            "operator": "AND",
            "target_value_id": 0,
            "code": "DMAX"
          }
        ]
      },
      "technology": {
        "include": [
          {
            "operator": "AND",
            "code": "BSER",
            "target_value_id": 0
          }
        ],
        "exclude": [
          {
            "operator": "AND",
            "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

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" } }

List New Strategy Plan Target Values

Request

Get a list of new strategy plan target values

Security
Auth0
Query
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
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.
  • q=id==(1,2,3) find specific entities by ID.
fullstring

To return all fields, set the value to *. For example, full=* will include all properties.

Example: full=*
curl -i -X GET \
  'https://api.mediamath.com/api/v3.0/new_strategy_plan_target_values?page_limit=100&page_offset=0&sort_by=id%2C+-id%2C+name%2C+-name&q=string&full=*' \
  -H 'Authorization: Bearer <YOUR_TOKEN_HERE>'

Responses

List target values response

Bodyapplication/json
Any of:
dataArray of objects
metaobject(pagination metadata)
Response
application/json
{ "data": [ {} ], "meta": { "status": "success", "count": 10, "total_count": 100, "offset": 0, "next_page": "string", "prev_page": "string" } }
Operations

Targeting Attachments

TargetingAttachments

Operations

Targeting Segments

Targeting Segments

Operations

Targeting Segment Objectives

Targeting Segment Objectives

Operations
Operations
Operations
Operations
Operations
Operations
Operations
Operations
Operations
Operations
Operations
Operations
Operations

Enterprise Controls

Enterprise Controls

Operations
Operations
Operations
Operations
Operations
Operations
Operations
Operations
Operations