python - Google Ads API 指标成本、每次点击费用等太大了

Question

所以我使用下面显示的代码查询了 location_view 资源。我已经使用 geographic_view 尝试过类似的操作，但它也会导致同样的问题。此问题是 average_cost 或 average_cpc 等指标为 ~2800000。现在这显然是不正确的。我想知道是否有人遇到过类似的问题，或者如果实际值乘以 1M 或其他因素

from google.ads.googleads.client import GoogleAdsClient
credentials = {
"developer_token": "xx",
"refresh_token": "xx",
"client_id":"xx",
"client_secret": "xx"}
 client = GoogleAdsClient.load_from_dict(credentials)

query = """
SELECT location_view.resource_name, segments.date, metrics.average_cost, metrics.average_cpc, metrics.clicks, metrics.conversions, metrics.cost_micros, metrics.cost_per_conversion, metrics.impressions, metrics.interactions, metrics.interaction_rate, campaign.id, campaign.name, campaign.end_date, campaign.start_date FROM location_view WHERE segments.date DURING LAST_30_DAYS"""

ga_service = client.get_service("GoogleAdsService")

search_request = client.get_type("SearchGoogleAdsStreamRequest")

search_request.customer_id = "xx"

search_request.query = query

test = []
response = ga_service.search_stream(search_request)


for batch in response:
        for row in batch.results:
           test.append(row) 

Answer 1

是的，这是预期的行为。成本指标是微量的，因此需要除以 1,000,000。 API 论坛上的类似主题有更多详细信息:https://groups.google.com/g/adwords-api/c/K4ux3hmlego?pli=1