Supply-Side Platform Data Activation
Overview: Below is information pertaining to how supply-side platforms can activate contextual data for their publisher customers.
Continuation from Passing Contextual Data From the Ad Server to the SSP:
Once publishers have completed the appropriate steps to pass contextual data to their SSP of choice the SSP can complete the following:
Data to be passed from the Publisher to the SSP:
Once the publisher has integrated with the IRIS.TV Contextual Video Marketplace they will receive data on their video assets.
Example of the IRIS.TV Context API response with data for a publisher video asset:
{
"success": true,
"video_info": {
"iris_id": "iris_098eiman91",
"context": [
"context_1",
"context_2",
"context_3"
],
"iris_id_expires_at": 1588636800
}
}
Using the “iris_context” Custom Macro:
Once the publisher has completed the steps to pass the “iris_context” custom macro to their SSP the SSP will be able to utilize the key value pairs to target and curate PMPs for advertisers.
The “iris_context” custom macro can be mapped to any necessary field in the SSP and will contain all context and brand-safety data segments available for the applicable video.
Using the “iris_id” Custom Macro:
Once the publisher has completed the steps to pass the “iris_id” custom macro to their SSP the SSP will be able to pass the “iris_id” into the bidstream.
The SSP will need to map the “iris_id” into the “content.id” field in the bidstream, the “content.id” field can be located in the content object.
Example of the “iris_id” in the content object field in the bidstream:
},
“content”: {
“id”: “iris_12344556”,
“title”: “[title]”,
“series”: “[series]”,
“cat”: “[category]”,
“contentrating”: “TV-PG”,
“context”: 1,
“producer”: “[producer]”,
“id”: “[network]”,
“name”: “[network_name]”,
},
“len”: “[seconds]”
“genre”: “Comedy”,
}
Once Complete:
Once the SSP completes the above steps their publishers will be able to:
Curate contextual video private marketplace for advertisers
Enable advertisers to target open auction video inventory with contextual data
IRIS.TV