Hi everyone,
I'm trying to use the GenerateKeywordForecastMetrics method from the KeywordPlanIdeaService in the Google Ads API (v20). I’m currently testing two different bidding strategies (manual_cpc and maximize_conversions) within a CampaignToForecast object. However, when I use the *maximize_conversions* strategy, I receive the following error: *Host: googleads.googleapis.comMethod: /google.ads.googleads.v20.services.KeywordPlanIdeaService/GenerateKeywordForecastMetricsRequestId: WsA6v2K6NxA3uCehlA3VzgIsFault: TrueFaultMessage: The input has an invalid value.* Here's a simplified version of the relevant code using the *maximize_conversions* strategy: *campaign_to_forecast.bidding_strategy.maximize_conversions_bidding_strategy.daily_target_spend_micros = 50000000* When I switch back to manual_cpc_bidding_strategy, everything works fine and I get expected results like: *Estimated daily clicks: 6381.6Estimated daily impressions: 43575.5Estimated daily cost: 3612.25Estimated daily conversions: 1557.14* According to the documentation here: https://developers.google.com/google-ads/api/reference/rpc/v20/CampaignToForecast.CampaignBiddingStrategy ...this should be a valid setup. I’m wondering: - Is maximize_conversions_bidding_strategy not supported by GenerateKeywordForecastMetrics? - Is there a specific combination of fields or requirements that I may have missed? - Or does this method only support manual_cpc? Any insight or clarification would be greatly appreciated. Thanks in advance! Best regards, PS : This is how I create my campaign_to_forecast : def create_campaign_to_forecast(client): """Creates the campaign to forecast. A campaign to forecast lets you try out various configurations and keywords to find the best optimization for your future campaigns. Once you've found the best campaign configuration, create a serving campaign in your Google Ads account with similar values and keywords. For more details, see: https://support.google.com/google-ads/answer/3022575 Args: client: an initialized GoogleAdsClient instance. Returns: An CampaignToForecast instance. """ googleads_service = client.get_service("GoogleAdsService") # Create a campaign to forecast. campaign_to_forecast = client.get_type("CampaignToForecast") campaign_to_forecast.keyword_plan_network = ( client.enums.KeywordPlanNetworkEnum.GOOGLE_SEARCH ) # Set the bidding strategy. # campaign_to_forecast.bidding_strategy.manual_cpc_bidding_strategy.max_cpc_bid_micros = 1500000 campaign_to_forecast.bidding_strategy.maximize_conversions_bidding_strategy.daily_target_spend_micros = 50000000 # For the list of geo target IDs, see: # https://developers.google.com/google-ads/api/reference/data/geotargets criterion_bid_modifier = client.get_type("CriterionBidModifier") # Geo target constant 2840 is for USA. 2250 for France. criterion_bid_modifier.geo_target_constant = ( googleads_service.geo_target_constant_path("2250") ) campaign_to_forecast.geo_modifiers.append(criterion_bid_modifier) # For the list of language criteria IDs, see: # https://developers.google.com/google-ads/api/reference/data/codes-formats#languages # Language criteria 1000 is for English. 1002 for French. campaign_to_forecast.language_constants.append( googleads_service.language_constant_path("1002") ) # Create forecast ad groups based on themes such as creative relevance, # product category, or cost per click. forecast_ad_group = client.get_type("ForecastAdGroup") # Create and configure three BiddableKeyword instances. biddable_keyword_1 = client.get_type("BiddableKeyword") biddable_keyword_1.max_cpc_bid_micros = 2500000 biddable_keyword_1.keyword.text = "casserole" biddable_keyword_1.keyword.match_type = ( client.enums.KeywordMatchTypeEnum.BROAD ) biddable_keyword_2 = client.get_type("BiddableKeyword") biddable_keyword_2.max_cpc_bid_micros = 1500000 biddable_keyword_2.keyword.text = "poele" biddable_keyword_2.keyword.match_type = ( client.enums.KeywordMatchTypeEnum.PHRASE ) biddable_keyword_3 = client.get_type("BiddableKeyword") biddable_keyword_3.max_cpc_bid_micros = 1990000 biddable_keyword_3.keyword.text = "sauteuse" biddable_keyword_3.keyword.match_type = ( client.enums.KeywordMatchTypeEnum.EXACT ) # Add the biddable keywords to the forecast ad group. forecast_ad_group.biddable_keywords.extend( [biddable_keyword_1, biddable_keyword_2, biddable_keyword_3] ) # Create and configure a negative keyword, then add it to the forecast ad # group. negative_keyword = client.get_type("KeywordInfo") negative_keyword.text = "bourgignon" negative_keyword.match_type = client.enums.KeywordMatchTypeEnum.BROAD forecast_ad_group.negative_keywords.append(negative_keyword) campaign_to_forecast.ad_groups.append(forecast_ad_group) print(campaign_to_forecast) return campaign_to_forecast -- -- =~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~ Also find us on our blog: https://googleadsdeveloper.blogspot.com/ =~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~=~ You received this message because you are subscribed to the Google Groups "AdWords API and Google Ads API Forum" group. 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