Connect Data from Google Analytics to Excel

You can get your Google Analytics data into Excel 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 Excel. Our Google Analytics to Excel 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 Excel 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.

Excel is a great electronic spreadsheet program you can use for organizing, storing, and manipulating data, such as Google Analytics data. The software is part of the MS Office suite and is also compatible with the other applications in the MS Office suite. Excel features the great ability to perform many basic calculations, create pivot tables, use graphing tools, and create macros. Excel allows users to arrange Google Analytics data so they can view various factors and variables from different perspectives. Visual Basic is also used for several applications in Excel, which allows users to create a number of complex numerical methods. Also, programmers have the option to code directly with the Visual Basic Editor, which includes Windows for writing codes, debugging as well as code module organization.

Extracting data

Before loading your data into Excel, 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. Excel's 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.

Preparing data

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 Excel. 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.

Loading data

MS Excel is one of the best spreadsheet programs; however, sometimes, you have to import and open a document that was not formatted specifically for various Microsoft programs. And at other times, you will have to save your document in a different format to make sure people who are not using MS Excel can use it. A powerful and convenient method to retrieve data from any external data source, like a database, is retrieving the relevant information directly from any one of a database’s tables. Keep in mind that in relational databases information is often stored in tables. To import your data from a database, follow these steps. You should choose Get External Data in the Data tab from Access command. MS Excel will display the Select Data Source dialog box. Select both the drive and folder where you have stored the database using the list boxes that are provided in the Select Data Source dialog box. If you see the Select Table dialog box, choose the table you would like to retrieve information from simply by clicking it, and then click on OK. Excel will retrieve information from the table and place it in the specified worksheet location. After importing your data in Excel you can: Sort the data: You can easily sort your data on one or multiple columns. Also, you may sort it in descending or ascending order. Filter the data: Filter your data if you just want to display those records that meet specific criteria Apply conditional formatting: Note that conditional formatting in MS Excel allows you to highlight specific cells with a particular color, depending on the value of the cell.

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 Excel. 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 Excel 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 Excel.