Data Studio is the tool used on Google Marketing Platform for data visualization. It became extremely popular among marketers in the past couple of years. The main reason for its popularity is that it is very extremely useful for building Google Ads and Analytics reports. Actually it is recommended to use Google Data Studio instead of Google Analytics built-in functions.
Two most popular opportunities to get Google Analytics data in BigQuery for non-premium Google Analytics users.
User-id tracking is the feature of Universal Analytics that many businesses implement. This is not a laborious process to implement User-Id tracking in case you have the unique identifier for each user available at front-end. But in real life few get any benefits from it.
Universal Analytics claims there are four main benefits of the User ID.
Thrivecart is used by many businesses for building their sales funnels. They have many useful opportunities for digital marketers. However tracking implementation on Thrivecart is a pain. Thrivecart do not officially support Google Tag Manager.
Here there is the documentation on how to implement Facebook pixel and Google Analytics on Thrivecart.
Discrepancy in data especially in the revenue and transaction number is often an issue for the ecommerce sites that use Shopify. Shopify has a document where they list some possible reasons of this discrepancy https://help.shopify.com/en/manual/reports-and-analytics/discrepancies. However these explanations are not very helpful because they do not contain any practical advice on how this can be fixed.
On our platform we have some reports which show avg. time on page and avg. session duration metrics for the same page. Why is avg. time on page longer than avg. session duration for the same page in these reports? Is something wrong with tracking or reporting?
Landing pages report in Google Analytics helps marketers to evaluate the performance of different landing pages,to identify high converting landing pages, to find landing pages with inadequately high bounce rate or loading time, to find landing pages which are not mobile friendly and answer many more specific questions with data.
However there are some issues that can prevent or make it difficult to get useful data from the Landing pages report.
Google Universal Analytics allows importing costs data from any marketing platform (facebook, bing, twitter, etc.). In order to start using this feature you need to create at least one data set for cost data import (https://support.google.com/analytics/answer/6064692#step_by_step) in the Google Analytics property.
Follow these steps to configure your first data set.
It is always important for the marketers to track the source of the traffic in Google Analytics. It is a very easy thing to do if you promote with the help of the Adwords. In this case it is enough to link your Adwords and Google Analytics accounts and all the data about traffic source, impressions, clicks and costs will be automatically imported into your Google Analytics property. But it you advertise with the help of other systems like Facebook you should use utm-marks to attribute your traffic correctly.
Single-Page Applications (SPA) become more and more popular. They are built using Ember, React, Angular, Backbone, Meteor or something similar.
Bad news about SPA is that adding default Universal Analytics tracking code to such applications will not result in having any valuable data in the Google Analytics account. The reason is that SPA does not generate any pageviews by defaults and pageview hits are not send to Universal Analytics. If no customization is applied to the analytics tracking code one will have sessions with only one pageview and extremely high bounce rate.