I am using google analytics api to get data. I am getting data but I want to verify two parameters those are always 0 in a particular date range. I am getting ['ga:transactions'] and ['ga:goalCompletionsAll'] . These two parameters are always zero in google analytics api response.
So I just want to know is there any way I can check these two parameters from google analytics web interface against some particular date range?
You could test it using a Custom report on the website:
Link to the custom report above, just import it it will show with your data.
The report is just Goal Completions and transactions by Date
Related
Google Analytics (particularly version 4, "GA4") has various predefined events, each with its own parameters. E.g. the purchase event has an items parameter, which contains data such as item_id and item_name for each purchased item. JS code on a website can send these events and pass the extra data, and I can actually see the data in the "Analysis hub" in the Google Analytics interface.
Is there a way to also fetch this extra data using the Google Analytics Data API? There is a way to retrieve some predefined dimensions and also "custom dimensions" (via customEvent:parameter_name), but e.g. purchase item data doesn't seem to be a part of that.
Do I have to define custom dimensions (e.g. a purchasedProductId) and send them in addition to the items parameter, if I want to access this data via API?
Jan,
Ecommerce reporting is not yet supported in the Google Analytics Data API. I will update this question once I have more information about the timeline of this feature implementation.
Thanks,
Ilya
The Google Analytics Team
I am using Google Analytics for years for my iOS apps and was truly satisfied with it. For my regret Google is sunsetting Google Analytics later this year so I am switching to Firebase API so I can keep tracking my apps. I already done most of the integration work and can see the events appearing in Firebase console. However, I can't see custom parameter values but only event count.
For example, sending event named add_book and adding parameter named isbn with value of 1234, I will be able to see in the console only the number of times that add_book arrived and also that it contains an isbn parameter. However, it seems there is no way to view the value (i.e. 1234) of the isbn parameter. I registered the isbn parameter for the add_book event as required. Am I missing something?
Does having the full functionality of the sunsetting Google Analytics (including advanced filtering + regex filters, etc.), means I should use both Firebase Analytics and BigQuery together?
By the way, I linked Firebase Analytics with BigQuery and exported the data as suggested by Firebase Analytics, but I can't see any Analytics tables yet in BigQuery. Do I need to allow several hours before I can view the exported data?
As of March 2019, Firebase Analytics is not so easy to use or test when setting it up (in comparison to Google Analytics). The main steps for setting up event parameters are:
Send your events with their event parameters. Send at least 80-90 events of one type, otherwise the parameters will appear as zero or "not set", until you reach 80 individual events.
The events will not display in the website until after one day. So wait for 24 hours.
When the events appear on the website, you must register their event parameters, with the '3 dots' menu -> "Edit Parameter Reporting" - Like this:
Then:
(Image credit: Firebase Analytics custom events params and Firebase Analytics. Can not add custom parameter to event )
After registering the event parameters, you must wait another 24 hours to see the parameters displayed on the website.
More info:
https://www.reddit.com/r/androiddev/comments/9zbvk4/alternative_to_google_analytics_not_firebase/
https://www.tatvic.com/blog/firebase-analytics-reporting-tips-overcome-limitations-favorite-mobile-app-analytics-tool-google/
In your event overview from Firebase Console you can enable parameter reporting for individual events. The option is found in the 3 dot overflow menu.
You can do that for up to 10 unique text parameters and 40 unique numeric parameters.
Beyond those limits or for more control BigQuery is the way to go. And yes you need to wait for your first data in BigQuery. They populate a new table with one days data every day once.
I am new to Google Analytics. I have a conversion set up, and I'd like to capture demographics for individuals who convert at e individual level. When a user converts, I'd like to pass the statistics from Google Analytics into my own database, or keep a record of the ID assigned at conversion in Google Analytics and download the data. Is this possible? I want to do analysis on who is likely to convert versus not - age, shopping habits, etc - and link these details back to the type of specific conversion.
Thoughts?
We if want to add add track users at individual level, try creating a Custom diamension and passing the userID everytime you make a GA call.
Next to view the same :- in tables that you view your analytics data, there will be this option called 'Secondary diamention', from the list that appears.. Choose the custom diamension name that you had assigned. Now you will be able to see each row with the userID along slide.
Add user ID to your tracking script
The first step to your question is to add the user ID to your tracking. If you have some way to identify users on your website (ie: through email marketing tool, your CRM, etc), then you should set up user ID tracking. Here is the Google Dev article about that:
https://developers.google.com/analytics/devguides/collection/analyticsjs/cookies-user-id?hl=en
However, basically... you just have to add this to your tracking script (replacing the 'create' line you currently have, replacing "USER_ID" with the user ID your system gives them.
ga('create', 'UA-XXXXX-Y', { 'userId': USER_ID });
In addition, I usually include this UserID as a custom dimension, so that I can view it in Google Analytics and other reports. To do this, first set up a custom dimension for your ID, as a "User-level" dimension. Then just add this after your user ID is available (assuming this is your first custom dimension):
ga('set', 'dimension1', USER_ID);
Connect User ID to Demographics
Unfortunately, the demographics information that Google Analytics provides (under "Audience") is not compatible with custom dimensions (like userID). So, the API only allows you to pull the audience data in aggregate (ie: connected to City, number of users, pageviews of those types of people... etc). If this works for you, check out the GA Query Explorer (below) to try out different combinations of dimensions & metrics to drill down as deep as you can and maximize the information you gain from this demographic info.
Connect Google Analytics Data to Your Database
In order to connect GA data to your database in an automated fashion, you will need to set up some kind of scheduled process that runs a query off of the Google Analytics API. To explore what combinations of metrics and stuff are available, I'd suggest checking out the Google Analytics API Explorer and the Google Analytics API reference material. What I did was set up an SSIS package (using SSIS GoogleAnalyticsSource) as the data source, which made it fairly easy. Then just scheduled that to run daily, populating the data I want into my database.
Alternatively, you could download less complicated reports directly from Google Analytics and import them into your database with something like SQL Server Management Studio.
I've been developing a Smart TV app and integrated google analytics. Now I can see number of page view etc. But what i actually want to do is to send a custom data string to google analytics and control "assetid" variable. I want to track number of contents whose "assetid" var is 0.
A sample custom data below:
assetid=11031&type=vod&sessionid=me7ujh7kqemg9jkqegh80cjtv2&checksum=4574d2362e51a398086a6e8ff87de447
Do i need to convert it to JSON or Array and what should i do to track it on google analytics?
This sounds like an application for Google Analytics' Measurement Protocol
That gives you a format to craft URL that will send into GA what you are asking. You can use your sessionid to GA's cid to match users over multiple sessions.
It works by making a simple POST to Google Analytics, which you can load with events or custom dimensions that match your needs of the Smart TV. Dev guide here
I am using Google Bigquery to extract data on conversion paths from Google Analytics (GA).
When I analyze these conversion paths from the exported dataset, the last-click conversions match the Acquisition report in GA, but not to the Multi Channel Funnel (MCF) data. Apparently Bigquery doesn't really export raw data, but transforms it by deleting all last direct clicks. like described here: https://support.google.com/analytics/answer/1319312?hl=en.
Is it possible to get the Bigquery data to correspond to Multi Channel Funnel (MCF) conversion path data? To undo the deletion of last non-direct click and get proper 'raw' user level data?
All of the trafficSource fields in BigQuery Export for Google Analytics use campaign attribution as described in this processing flow, which will overwrite direct traffic with the most recent campaign (if there is one and it is within the specified timeout), as you mentioned.
If you are using Universal Analytics, you can adjust the campaign timeout to be shorter than the 6 month default. For example, if you set the campaign timeout to be one day, any direct visits that come in at least one day after a visit with a campaign will be attributed to direct instead of the previous campaign. This can be done with Classic Analytics as well using _setCampaignCookieTimeout. This technique will affect data collection from the time it is implemented going forward.
This thread is rather dated, so I thought I'd update just in case anyone else comes across this same question.
There is a field that was introduced (both in the Google Analytics interface and the BigQuery export) that allows you to match the numbers in the MCF reports. In BigQuery, look for the field trafficSource.isTrueDirect
BigQuery Export Schema
trafficSource.isTrueDirect
True if the source of the session was Direct (meaning the user typed
the name of your website URL into the browser or came to your site via
a bookmark), This field will also be true if 2 successive but distinct
sessions have exactly the same campaign details. Otherwise NULL.