Magnite Performance Analytics (Curator): Setup guide#
This guide explains how to collect data from Magnite Performance Analytics (Curator).
Introduction#
Magnite Performance Analytics (Curator) provides deal-level revenue, margin, and fee data from the Magnite DV+ supply-side platform (SSP) for curators. Curators are intermediaries who package and enhance publisher inventory by layering on audience data, brand safety filters, and content signals to create curated marketplaces. This connector enables curators to measure the financial performance of their curated deals.
Prerequisites#
Before you start collecting data from Magnite Performance Analytics (Curator), perform all of the following actions:
Ensure you have a Magnite DV+ curator account with API access enabled.
Creating a datastream to collect data from Magnite Performance Analytics (Curator)#
The basics of creating a datastream to collect data from any data source are explained in our guide to Collecting data in Adverity. This guide contains information about the specific steps to create a datastream to fetch data from Magnite Performance Analytics (Curator).
Configuration: Choose the data you want to collect from Magnite Performance Analytics (Curator)#
To choose what data to collect and customize the Magnite Performance Analytics (Curator) datastream configuration, follow these steps:
(Optional) Rename your datastream.
In Dimensions, select the dimensions by which to break down the report data.
Note
If you select the Hour dimension, the lookback window is limited to 45 days. If you select a date range longer than 45 days with the Hour dimension selected, Adverity displays a validation error.
In Metrics, select the metrics to include in the report.
In Timezone, select the timezone in which the data will be reported. The default timezone is UTC.
(Optional) In Filter, enter a filter expression to limit the data collected. For example:
dimension:site_id==123,456;dimension:country_id==US
As a result, Adverity fetches data from Magnite Performance Analytics (Curator) according to the configuration you set.
What’s next?#
Apply Data Mapping to your collected data to harmonize data collected from different sources in Adverity.
Transform your data to meet your needs by creating and applying transformations to your datastream.
Load your data into a warehouse to continue working with your data in Adverity.
Load your data into an external destination of your choice.