Internal methods to create model from a group of campaigns
BYOA
Custom Brain allows the client to use the BYOA API to upload a set of logistic coefficients corresponding to any of the variables currently in use by the MediaMath Brain. These coefficients will then be used by participating strategies to calculate the predicted response rate for each impression. The bidder will calculate bid price by multipling the predicted response rate by the strategy's goal value. Goal values can be modified using the MediaMath Platform campaign management API.
It is best for you to contact us early in your process by emailing developers@mediamath.com, as it may take about 48 hours before you are granted API access to begin work on your model.
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Overview
Languages
Servers
Mock server
https://apidocs.mediamath.com/_mock/apis/byoa-api/
https://api.byoa.mediamath.com/
- Mock server https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/serialize
- https://api.byoa.mediamath.com/aggregates/serialize
- curl
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curl -i -X GET \
'https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/serialize?namespace=123456%2C234567' \
-H 'Authorization: Bearer <YOUR_TOKEN_HERE>'Response
application/json
{ "data": [ { … } ], "meta": { "status": "success" } }
- Mock server https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates
- https://api.byoa.mediamath.com/aggregates
- curl
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curl -i -X PUT \
https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates \
-H 'Authorization: Bearer <YOUR_TOKEN_HERE>' \
-H 'Content-Type: application/json' \
-d '{
"campaign_ids": [
0
],
"namespace": "string",
"vanity_name": "string"
}'Response
application/json
{ "campaign_ids": [ 234567, 345678, 456789 ], "namespace": "mm", "vanity_name": "shared_brain_1" }
- Mock server https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/{aggregate_id}
- https://api.byoa.mediamath.com/aggregates/{aggregate_id}
- curl
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curl -i -X PUT \
'https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/{aggregate_id}' \
-H 'Content-Type: application/json' \
-H 'adama_session: YOUR_API_KEY_HERE' \
-d '{
"campaign_ids": [
0
],
"namespace": "string",
"vanity_name": "string"
}'Response
application/json
{ "data": { "aggregate_name": "aggregate_2", "campaign_ids": [ … ], "created_on": "2019-01-29T15:51:37.095474Z", "ID": 2, "namespace": "123456", "output_campaigns": [], "updated_on": "2019-01-29T18:09:31.870659Z", "vanity_name": "Roy G Biv" }, "meta": { "status": "success" } }
- Mock server https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/{aggregate_id}
- https://api.byoa.mediamath.com/aggregates/{aggregate_id}
- curl
- JavaScript
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curl -i -X DELETE \
'https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/{aggregate_id}'Response
application/json
{ "data": { "aggregate_name": "aggregate_2", "campaign_ids_aggregate": [ … ], "created_on": "2019-01-29T15:51:37.095474Z", "ID": 2, "namespace": "mm", "output_campaigns": [], "updated_on": "2019-01-29T18:09:31.870659Z", "vanity_name": "Roy G Biv" }, "meta": { "status": "success" } }
- Mock server https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/{aggregate_id}
- https://api.byoa.mediamath.com/aggregates/{aggregate_id}
- curl
- JavaScript
- Node.js
- Python
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curl -i -X GET \
'https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/{aggregate_id}' \
-H 'adama_session: YOUR_API_KEY_HERE'Response
application/json
{ "data": { "aggregate_name": "aggregate_107", "campaign_ids": [ … ], "created_on": "2019-04-29T16:56:44.974853Z", "ID": 107, "namespace": "100667", "output_campaigns": [ … ], "updated_on": "2019-05-21T19:01:39.181669Z", "vanity_name": "Roy G Biv" }, "meta": { "status": "success" } }
- Mock server https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/serialize_all
- https://api.byoa.mediamath.com/aggregates/serialize_all
- curl
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curl -i -X GET \
https://apidocs.mediamath.com/_mock/apis/byoa-api/aggregates/serialize_allResponse
application/json
{ "data": [ { … }, { … } ], "meta": { "status": "success" } }
Custom Bid Router
Custom Bid Router further extends the BYOA architecture allowing advertisers to apply their own bidding algorithms in their own ecosystem. The MediaMath system will invoke an external call to the client with the bid request and await a response that MediaMath can use in our internal auction. Forwarded bid requests adhere to OpenRTB v2.4 format and may be enriched with certain information such as segment membership and pixel recency.
Custom Brain
In Customized Brain, the client uses the BYOA API to upload a set of logistic coefficients corresponding to any of the variables currently in use by the MediaMath Brain. These coefficients will then be used by participating strategies to calculate the predicted response rate for each impression. The bidder will calculate bid price by multiplying the predicted response rate by the strategy's goal value. Goal values can be modified using the T1 campaign management API.