How to merge Google Ads and Firebase data in BigQuery [closed] - firebase

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I want to report whole Google Ads campaigns, but there is problem:
I can't report data from Google Ads because 100 events in firebase = 120-150 events in Google Ads (google support didn't help).
So I want report data in Google Cloud platform, where will be data from Firebase. There are all data except cost per campaign.
I tried to import Google Ads data to BigQuery and merge data with Fire-base data, but when I did it, each event has price from whole campaign price.
Can someone help with data merge? Or is here someone who has problem with Firebase -> Google Ads event tracking and solve it?

For getting your data for both services into BigQuery, use the BigQuery transfer service to pull all Google Ads data, then link your Firebase project for your Firebase data. Once you have all the data and understand each field; taking in consideration the schema for Google Ads reports and the export schema of Gogle Analytics for Firebase, you can merge or denormalized data as per the requirements using ANSI SQL queries.

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Should I ask my client to make their own Google Cloud account? [closed]

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I am making an RN app for a client that uses firebase. I don't want to pay or forward bills to the client. Reading this, seems like you can only have one billing account for one GCP account, which means I should ask them to make their own account and invite me?
Yes, you should have your client create the following accounts:
Google Cloud Project.
Google Cloud Billing Account.
Google Payments Account.
There are many reasons why, some key points:
As some point you client will leave you. The amount of effort to move resources from your project to another one is not insignificant.
Billing responsibility. The client should be responsible for billing and payments.
Account ownership and control.
Provide the client with three items:
A Google Accounts (Gmail, Workspace, Identity) based email address for your user-based access.
A service account email address of a service account created in your project.
A document listing the permissions that you require for each account.
If you are basically doing everything for the client, consider requesting Project Editor for you user credentials. You can then assign permissions to the service account as required.
Tips:
Enable MFA on your Google user credentials.
Setup budgets and billing alerts. Notify yourself and your client.
Enable Stackdriver (Operations) logging.
Enable exporting Cloud billing data to BigQuery.

Bigquery backfill table from Firebase Analytics [duplicate]

I have setup Firebase analytics data to BigQuery. However I received my first export today and it contains all yesterdays user statistics. That is great but I need lifetime statistics history or at least last month's data.
Do I already have access to my entire historic analytics data threw Big Query but I and I do not know how to access it? If so can you point to documentation or give a quick walk threw?
Is it even possible to get the full (or at least a longer period than a day) historic analytics data?
Bonus question: Can I directly access data that is used in Firebase analytics console? They should be feeding it with some API for some things I need aggregates would be sufficient. So is there http://analytics.firebase/data.json I could access while logged in to my Firebase account to save data to my machine?
firebaser here
Firebase Analytics does not expose the historical event level data. It only exposes aggregate information.
Complete event data is only available from the moment you enabled the BigQuery connection. No data from before that time will be added to BigQuery.
The data from the analytics reports that is shown in the Firebase Console is available through the Analytics Data API. See Is there any api for dashboard analytics data?

Get Firebase Analytics Historic Data using BigQuery

I've linked firebase analytics app to BigQuery and getting raw data under app_events and app_events_intraday tables.
Our major requirement behind using BigQuery is to get analytics data that we get under Firebase analytics dashboard e.g. active_users, new users, audience geo locations and so on.
We can get these kinds of data using GA REST API for web applications but here we are using firebase app for mobile application and we came to know that BigQuery is the only option to get analytics data.
Can I get google analytics historic data like I get it on Firebase analytics dashboard?
Also, I get this data by downloading CSV from the same dashboard but that is a manual approach and I am looking to automate it.
Please acquaint me with the right approach to get analytics data for firebase app.
Thanks!

Is there any way to get advertising source in Firebase analytics while using Appsflyer link?

I am using Appsflyer to improve my App(Android/iOS)'s marketing campaign. But at the same time, I need to use Firebase analytics to in-app analysis while Appsflyer is not a solution for in-app analytics.
The problem is get advertising(attribute) data from Firebase analytics. I need to use Onelink(from Appsflyer with Appsflyer parameters) so I cannot know from which source people came in Firebase analytics when People Installed from Onelink link. I also found it's impossible to fully integrate Firebase analytics with Appsflyer even with Google Tag Manager(I even asked to Appsflyer manager who work with my company).
Does anyone went through this kind of situation? Please help.

Google Analytics vs Quantcast [closed]

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Is it necessary to have both GA and Quantcast in your website? I'm seeing a lot of websites use both of them but what's the point of using both of them when either one does the same thing? Sorry if this is a dumb question.
No, it's not necessary, but do keep in mind that Google Analytics and Quantcast are doing two different things.
Google Analytics focusses on telling you how people use your website. This includes things like referral pages and keywords, entry and exit pages, page views, and click patterns. Google Analytics tells you about the page views of your website.
Quantcast focuses on telling you the nature of your website's audience. This includes things like the users' demographics and psychographics, other sites your users tend to visits, what businesses and industries they represent, and cross platform (online, mobile, and app) engagement and retention. Quantcast tells you about the page viewers of your website (also referred to as your website's audience).
In many ways, Google Analytics and Quantcast Measure are very complementary services.
Disclaimer - I work at Quantcast
Is it necessary to have both GA and Quantcast in your website?
No it is not necessary.
You may check out how they differ in this article.
Non-Quantified Data
Quantcast offers a separate service for those who do not participate
in the program to track quantified data. The program for
non-quantified data provides public statistics for millions of Web
properties. Users of the Quantcast site use the search engine on the
main page to look up the name of any website. Each website has its own
stats page. A website with a small number of visitors will not
necessarily display results due to insufficient data. Google Analytics
does not provide non-quantified data. You must use the tracking code
to use Analytics, and your statistics are not open to the public.
Methods
Google Analytics uses cookies to track visitors. Quantcast uses
cookies and a separate people-based estimate called "cookie-corrected
audience data." This estimate is different from both Analytics and
Quantcast cookie-based statistics. The number of visitors tends to be
lower for people-based estimates. Statistical measures, such as the
number of overall visits and average pages viewed, tend to increase.
what's the point of using both of them when either one does the same
thing?
You may find the answer to this Why should I use Quantcast, Alexa or Compete, when I have Google Analytics
I am using both of them and what is mentioned about quantcast is right that it has a diffferent look at traffic ..in fact at one point I was worried that it may not be appropriate to use 2 codes to measure the same traffic but I think they work fine

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