Hi,
(Apologies if this is being posted twice.)
We have noticed that we cannot obtain data on Paused campaigns in certain
types of reports. E.g., for a given date range, we can see data of Paused
campaigns in a Campaign Performance Report, but not in the Geo Performance
Report.
As an example, we can run the following query for a Geo Performance Report
(python dict notation):
geo_q = {
'reportName': 'Missing Paused Campaigns',
'dateRangeType': 'CUSTOM_DATE',
'reportType': 'GEO_PERFORMANCE_REPORT',
'downloadFormat': 'CSV',
'selector': {
'fields': ['Date', 'CountryCriteriaId', 'CampaignName',
'CampaignStatus'],
'dateRange': {
'min': '20171001',
'max': '20171231',
},
'predicates': [
{
'field': 'CampaignStatus',
'operator': 'IN',
'values': ['PAUSED', 'REMOVED']
},
],
},
}
This gives data only on Removed campaigns, and not Paused ones. Meanwhile,
we can run the following query for a Campaign Performance Report with the
same selector:
camp_q = {
'reportName': 'Missing Paused Campaigns',
'dateRangeType': 'CUSTOM_DATE',
'reportType': 'CAMPAIGN_PERFORMANCE_REPORT',
'downloadFormat': 'CSV',
'selector': {
'fields': ['Date', 'CampaignName', 'CampaignStatus'],
'dateRange': {
'min': '20171001',
'max': '20171231',
},
'predicates': [
{
'field': 'CampaignStatus',
'operator': 'IN',
'values': ['PAUSED', 'REMOVED']
},
],
},
}
The above query *does* yield data of both our Paused and Removed campaigns.
We are using python to load the data into DataFrames:
geo = pd.read_csv(rd.DownloadReportAsStream(geo_q, skip_report_header=True,
skip_report_summary=True))
camp = pd.read_csv(rd.DownloadReportAsStream(camp_q, skip_report_header=True
, skip_report_summary=True))
print(set(geo['Campaign state']))
print(set(camp['Campaign state']))
# Output:
{'removed'}
{'removed', 'paused'}
We would just like to know if there is a specific reason why Paused
campaigns are not in these kinds of reports, while Removed campaigns are,
or if there is a bug somewhere.
Best,
PI.X
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