Forecast report

The Forecast report can be used to view both buy and sell-side data for a network member:

  • Direct advertiser impressions (bought across direct publishers and real-time inventory)
  • Direct publishers (sold across direct advertisers and other platform buyers)

For instructions on retrieving a report, see Report Service or the example below.

Time frame

The report_interval field in the JSON request can be set to one of the following:

  • custom
  • lifetime

Data retention period

Data in this report is retained for 33 days.


To run a report for a custom time frame, set the start_date and end_date fields in your report request. For more details about these fields, see Report Service.


Column Type Filter? Example Description
cpm_bid money No 100.00 The bid price of a bid bucket.
buyer_member_name string No "My Network" The buyer member affected by the error.
forecast string No "MyForecast(11)" The forecast name with id.
forecast_id int Yes 889 The ID of a forecast object.
buyer_member_id int Yes 123 The ID of the buyer member.
campaign_id int Yes 222 The ID of the campaign.
buyer_member string No "My Network (123)" The name of the buying member followed by the ID (Xandr format).
campaign string Yes "Default Campaign (222)" The name of the campaign followed by the ID (Xandr format).
campaign_name string No "Default Campaign" The name of the campaign.
forecast_name string No "MyForecast" The name of the forecast.
hours_recorded int No 77 The number of hours how long forecast has been run.
bid_bucket_percent int No 66% The percentage of cumulative_imps_available that will win at bid_bucket_price.
win_rate int No 71% The percentage of cumulative_imps_available will win at bid_bucket_price.
bid_bucket_price money No 678.00 The price to bid to win cumulative_imps_available.
hours_recorded_start_time date No "2010-02-01" The timestamp that forecast started to run.
daily_winnable_imps int No 655 The total imps to run within this bucket, projected to a full day.
cumulative_cost money No 650.00 The total price to pay if win all cumulative_imps_available at that bucket.
media_cost money No 880.00 The total price to pay if win all daily_winnable_imps at that bucket.


Column Type Example Description
cumulative_imps_available int 777 The total imps to run within this bucket.


Create a JSON-formatted report request

The JSON file should include the report_type of "periscope_forecast", as well as the columns (dimensions) and report_interval that you want to retrieve. You can also filters for specific dimensions, and specify the "format" in which the data should be returned ("csv", "excel", or "html"). For a full explanation of fields that can be included in the JSON file, see the Report Service.

$ cat periscope_forecast


POST the request to the reporting service

$ curl -b cookies -c cookies -X POST -d periscope_forecast ''

GET the report status from the report service

Make a GET call with the Report ID to retrieve the status of the report. Continue making this GET call until the {{execution_status}} is "ready". Then use the report-download service to save the report data to a file, as described in the next step.

$ curl -b cookies -c cookies ''
         "created_on":"2010-05-25 19:19:53",
         "url": "report-download?id=b97897a7864dd8f34e7457226c7af592"

GET the report data from the report download service

To download the report data to a file, make another GET call with the Report ID, but this time to the report-download service. You can find the service and Report ID in the url field of the previous GET response. When identifying the file that you want to save to, be sure to use the file extension of the "format" that you specified in your initial POST.


If an error occurs during download, the response header will include an HTTP error code and message. Use -i or -v in your call to expose the response header.

$ curl -b cookies -c cookies '' > /tmp/periscope_forecast.csv


There is a limit of 100,000 rows per report when you download them as XLSX and Excel file.