Connect Data from Google Analytics to Looker
You can get your Google Analytics data into Looker to make more informed business decisions. This simple and quick guide gives you easy instructions on how you can extract your data from Google Analytics and then analyze it in Looker. Our Google Analytics to Looker connector allows you to access your Google Analytics data so you can easily manage various media objects, view metadata, and comments, and get reliable insights and metrics, such as reach, impressions, follower-like ratio, and likes. Integrate your Google Analytics with Looker to turn your Google Analytics data into actionable insights.
Google Analytics (GA) is a free web analytics service. The application is great as it provides statistics and several basic analytical tools for marketing and search engine optimization (SEO) purposes.
Google Analytics allows website owners to thoroughly analyze their visitors, with the main objective of interpreting and optimizing their website’s performance. The data offered by Google Analytics is designed particularly for marketing and webmasters. This data helps them gauge the quality of traffic they receive and the effectiveness and efficiency of their marketing efforts. Google Analytics inserts several lines of code in your website’s code for this purpose.
You do not have to install any hardware or software in order to install it as the application is cloud based. Some of the features of GA are data visualization tools, custom reports, and integration with many other Google products, like Public Data Explorer and AdWords.
Looker is a popular analytics tool that helps bring data and business teams together by making it quick and easy for everyone to explore and comprehend the data which drives business. Looker Analytics can integrate with any SQL database and data warehouse, like Greenplum and Amazon Redshift.
From agile startups to large corporations, savvy companies can easily leverage Looker's amazing analysis capabilities to monitor the overall health of their businesses and also make more data-driven and sound decisions. Looker is great as it lets companies access, describe, control, explore, and visualize all their data across any web browser, on any device. Looker can help companies of all sizes use data to drive their business activities and decisions in the right direction.
Before loading your data into Looker, you will have to prep it first. If you don't already have a data structure in which to store the data you retrieve, you'll have to create a schema for your data tables. Then, for each value in the response, you'll need to identify a predefined datatype (INTEGER, DATETIME, etc.) and build a table that can receive them.
Google Analytics documentation should tell you what fields are provided by each endpoint, along with their corresponding datatypes. Complicating things is the fact that the records retrieved from the source may not always be "flat" – some of the objects may actually be lists. In these cases you'll likely have to create additional tables to capture the unpredictable cardinality in each record.
You can retrieve data programmatically through the Google Core Reporting API. It is available to all users who use the platform. By leveraging Improvado, you can easily and quickly integrate, connect, and see all your GA data flow into Looker. Follow the API documentation, and you will enjoy access to endpoints, like impressions, CTRs, and CPC. The main gateway to your Google Analytics (GA) data is known as the Google Core Reporting API, which easily lets you make calls in order to retrieve data.
Looker will connect to your company's data warehouse or database in order to perform its analyses. This is where the data you would like to analyze is stored and maintained. Some of the popular and commonly used data warehouses are Google BigQuery, Amazon Redshift, and Snowflake. Looker's documentation is helpful in this regard as it offers instructions on how you can configure and connect your database or data warehouse. Note that in a majority of cases, it simply involves creating and copying your access credentials, such as a password, username, and server information. Then you can easily move your data into your data warehouse from your various data sources for Looker to use. As soon as you connect your data warehouse to Looker, you may build constructs called explores, and each is a comprehensive SQL view that contains a certain set of data for more analysis. An example can be "customers" or "orders."
Keeping data up to date
If you've made it this far, congrats! You probably have a written a program or script to extract your data and move it into Looker. Now it's time to think about how you will keep this data up-to-date by loading updated or new data. Of course, you can just replicate all your data every time you have updated your records, but that would be extremely manual and time-consuming.
Luckily there is a better way. The key is building your script so that it can sense incremental updates made to the data.
Thankfully, Google Analytics API results include fields so that you can identify those records which are new since the last update you made (or since the most recent record you have copied). Once you have taken new data into consideration, you can easily set your script either as a continuous loop or cron job to pull down new data as soon as it appears.
The Easiest And Fastest Way To Do It
If all this sounds a bit overwhelming, don't worry -- there is an easier way to get this done!
Thankfully, products like Improvado were developed to move data from Google Analytics to Looker automatically. Using Improvado, you can easily combine the most crucial and relevant data from your social media ad campaign into a dashboard. You can then connect this data to Looker.