I am using Google Ads to promote my app. I have integrated Firebase, and in Google Ads I can see how many conversions brought through Google Ads.

My question is, can it be identified by code in the app, whether the current installation is downloaded by clicking Google Ads.

If a user now sees the advertisement and clicks on it, he will be directed to the App Store via the Google Analytics link "click.google-analytics....redirect=... ". Afterwards I would like to see in the AppDelegate if it comes over such a link. Can I take this from the URL, for example? Or is that not possible because it is routed through the App Store?

func application(_ app: UIApplication, open url: URL, options: [UIApplication.OpenURLOptionsKey: Any] = [:]) -> Bool {     // Get CampaignName or some identifier from the Google Ad     return true } 

Regarding Google AdWords:

1. Does their data contain details of the person/user who is generating the clicks/impressions? Such as employer, organization?
2. Is there a way to see the geography of clicks/impressions?

Thank you! Ashish

I am building something to sort and add values from an API response. I ended up going with an interesting structure, and I just want to make sure there's nothing inherently wrong with it.

from collections import defaultdict # Helps create a unique nested default dict object # for code readability def dict_counter():     return defaultdict(lambda: 0) # Creates the nested defaultdict object ad_data = defaultdict(dict_counter) # Sorts each instance into its channel, and # adds the dict values incrimentally for ad in example:        # Collects channel and metrics     channel = ad['ad_group']['type_']     metrics = dict(         impressions= int(ad['metrics']['impressions']),         clicks     = int(ad['metrics']['clicks']),         cost       = int(ad['metrics']['cost_micros'])     )          # Adds the variables     ad_data[channel]['impressions'] += metrics['impressions']     ad_data[channel]['clicks'] += metrics['clicks']     ad_data[channel]['cost'] += metrics['cost'] 

The output is as desired. Again, I just want to make sure I'm not reinventing the wheel or doing something really inefficient here.

defaultdict(<function __main__.dict_counter()>,             {'DISPLAY_STANDARD': defaultdict(<function __main__.dict_counter.<locals>.<lambda>()>,                          {'impressions': 14, 'clicks': 4, 'cost': 9}),              'SEARCH_STANDARD': defaultdict(<function __main__.dict_counter.<locals>.<lambda>()>,                          {'impressions': 6, 'clicks': 2, 'cost': 4})}) 

Here's what my input data would look like:

example = [     {         'campaign':          {             'resource_name': 'customers/12345/campaigns/12345',             'status': 'ENABLED',             'name': 'test_campaign_2'         },         'ad_group': {             'resource_name': 'customers/12345/adGroups/12345',             'type_': 'DISPLAY_STANDARD'},         'metrics': {             'clicks': '1', 'cost_micros': '3', 'impressions': '5'         },         'ad_group_ad': {             'resource_name': 'customers/12345/adGroupAds/12345~12345',             'ad': {                 'resource_name': 'customers/12345/ads/12345'             }         }     },     {         'campaign':          {             'resource_name': 'customers/12345/campaigns/12345',             'status': 'ENABLED',             'name': 'test_campaign_2'         },         'ad_group': {             'resource_name': 'customers/12345/adGroups/12345',             'type_': 'SEARCH_STANDARD'},         'metrics': {             'clicks': '2', 'cost_micros': '4', 'impressions': '6'         },         'ad_group_ad': {             'resource_name': 'customers/12345/adGroupAds/12345~12345',             'ad': {                 'resource_name': 'customers/12345/ads/12345'             }         }     },     {         'campaign':          {             'resource_name': 'customers/12345/campaigns/12345',             'status': 'ENABLED',             'name': 'test_campaign_2'         },         'ad_group': {             'resource_name': 'customers/12345/adGroups/12345',             'type_': 'DISPLAY_STANDARD'},         'metrics': {             'clicks': '3', 'cost_micros': '6', 'impressions': '9'         },         'ad_group_ad': {             'resource_name': 'customers/12345/adGroupAds/12345~12345',             'ad': {                 'resource_name': 'customers/12345/ads/12345'             }         }     } ] 

Thanks!

I have set it up adsupport, adservices, iad frameworks and more, but still no conversions on Google Ads as a conversion.

Google ads takes first_open but no subscription_convert or renew...

Any idea?

I have tried it with different ad accounts but no difference.

1. Does anybody know after how much time or how many requests does refresh token expires in Google ads API? I created refresh token here https://developers.google.com/oauthplayground.
2. Does anyone know what is the impersonated email in server account in Google ads API? I created server account in Google cloud project. If I run python code with Service Account configuration with generated json_key_file_path and same impersonated_email as my email account with which I created project then I get an error google.auth.exceptions.RefreshError: ('unauthorized_client: Client is unauthorized to retrieve access tokens using this method, or client not authorized for any of the scopes requested.', {'error': 'unauthorized_client', 'error_description': 'Client is unauthorized to retrieve access tokens using this method, or client not authorized for any of the scopes requested.'}). If I put for impersonated_email client_email that I got from generated jon file I get an error: User in the cookie is not a valid Ads user.