Connect Data from Google Analytics to Google Docs

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

Google Sheets is an excellent, fully featured web spreadsheet application. It helps businesses create, collaborate on and share spreadsheets on the web and mobile devices. Your business can use Google Sheets for maintaining data consistency across various departments in your company and ensuring that every member of your team is on the same page. Google Sheets is available to your business as a web application and is accessible through Google Chrome, Firefox, Microsoft Edge, Internet Explorer 11, and Safari.

Extracting data

Before loading your data into Google Docs, 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 Docs' 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 Google Docs. 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

Google Sheets is an online spreadsheet that you can use to share data, but what in case your data currently is on another app or in a different file format, such as TXT or CSV? Don’t worry as we have you covered. Here's how you can import your data into Google Sheets. If there is a file on your system that you would like to add to a new spreadsheet in Google Sheets, you could do it easily. Keep in mind that Google Sheets can import many different file types, such as:  Microsoft Excel (.xls, .xlxm, xlsx, .xltx, .xltm) Text files (.txt) MapInfo (.tab)On your computer or tablet, open a spreadsheet in Google Sheets. Create or open a sheet. Go to the File tab at the top and click Import. You can choose a file (non-password protected) in one of the following file types:  .xls  Xlsm xlsx .xltNow choose an import option out of six available options. Keep in mind that not all types of files have all the options. 1. Create a new spreadsheet: This option allows you to create a spreadsheet from your imported data contained in your new browser tab.2. Insert a new sheet: This option allows you to add new sheets along with the imported data to the existing spreadsheet.3. Replace the current sheet: This option allows you to replace the content of the current sheet with the imported data.4. Replace a spreadsheet: This option allows you to replace the open spreadsheet with all the data in the imported file.5. Append rows to a current sheet: This option allows you to add the imported data to your current sheet after the last row using any data.6. Replace data starting at a selected cell: This option allows you to replace the data contained in a range of selected cells with your imported data.An optional technique: In case you import a plain text file, such as .txt or .csv, under "Separator character," you have the option to pick what symbol or letter Google Sheets uses for separating cells.Detect automatically: This option will automatically find some ways to split your data set.Custom: You can choose a custom character in order to split your data. Now click Import

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 Google Docs. 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 Google Docs 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 Google Docs.