How To Use Google Analytics Data

How To Use Google Analytics Data – The purposes of exporting Google Analytics data can be different: someone wants to report results, someone needs to have a backup copy of historical data, etc. This is the reason for creating an ambitious guide.

? We aim to explain all possible options for exporting Google Analytics data, from manually clicking and downloading to using the Google Analytics API. You will be able to choose the most suitable option for you.

How To Use Google Analytics Data

As of July 1, 2023, Universal Analytics and Google Analytics 3 will no longer be available. In this tutorial, we will explain how to export data from a GA3 feature. However, if you need to export data from GA4, please read the related articles we have prepared beforehand.

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Export formats vary depending on the type of report selected and can include CSV, Excel, Google Sheets, and PDF. The file for the Google Sheets format will not download to your device. Instead, your Google Analytics data will open in a separate Google Sheets document.

In this case, exporting data from Google Analytics is done using the Google Analytics add-on, which you need to install from the Google Workspace Marketplace.

We will not focus on this option in this guide, as we have covered it in Google Analytics in Google Sheets. Don’t hesitate to check it out! Google Analytics API for uploading datasets

The Google Analytics API provides several APIs to enhance your analytics experience beyond the regular Google Analytics user interface:

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A lack of coding skills may prevent many users from using this advanced analysis option. However, tech-savvy users using API connectors such as Coupler.io’s JSON Client can also use the Google Analytics APIs. The JSON client allows you to receive data via a REST API and import it into Google Sheets or BigQuery. For more information, read How to import JSON into Google Sheets.

The Google Analytics API is a very powerful way to export data from Google Analytics, including real-time and historical data.

Users who need to export their historical data from Google Analytics may wish there was a magic “Export All” button, but there isn’t. So you have three options:

If you don’t know (or don’t want to) programmatically automate your Google Analytics data export, the only option you have is the Google Analytics Plugin for Google Sheets. It allows you to schedule the export of your custom GA reports to Google Sheets.

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Available frequency is hourly, daily, weekly or monthly for any time interval.

Google Analytics provides many reports. For most of them, the export flow is the same, but there may be some complications. So let’s answer the following frequently asked questions by GA users.

Note: All the data presented in the following sections can be easily exported to Google Sheets using the extension.

, click the “Export” button and select the report export format (PDF, Google Sheets, Excel, CSV).

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You cannot do this using the Google Analytics user interface. One option is the Google Analytics plugin or API for Google Sheets.

. Then click “Export” => PDF and the PDF file of the user flow will be downloaded to your device.

Since we’re talking about exporting visual data, let’s see if you can export charts from Google Analytics.

All flow reports (user flow, behavior flow, event flow, and goal flow) can only be exported in PDF format. If you need to export additional Google Analytics charts and graphs, you must also select PDF as the export format, otherwise only the raw data set will be exported. For example, here is an exported PDF file with an overview of demographic data.

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Select the desired report and complete the usual export process (click the “Export” button and select the format).

In some Google Analytics reports, you can summarize data in the format you want using pivot tables. You can then export the resulting pivot table. This is how it works. For example, the overview of mobile devices in Google Analytics.

After creating the necessary basic table, you can perform the usual export procedure (click the “Export” button and select the format).

If you need to export all the paid and unpaid keywords that users use to access your site, you can find them here.

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. Adjust the report (for example, put a point) and follow the usual export procedure – click the “Export” button and select the format.

Find information about users, sessions, bounce rates and more. You can export this data in the usual way.

In Google Analytics, you can export a list of all users as filtered as you want, but you cannot export the most active ones. Neither do any of the Google Analytics APIs.

So if you need to export 11,000 lines, you’ll need to export three files: two with 5,000 lines and one with 1,000 lines.

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However, you can easily export more than 10,000 rows using the Google Analytics plugin for Google Sheets. To do this, you need to leave the “Limit” field empty in the construction configuration.

This is for manual export of Google Analytics data. Now let’s talk about the advanced option using the Google Analytics API.

There are many Google API client libraries available depending on the programming language you use – Java, .NET, Python, etc. These client libraries allow you to programmatically access various Google APIs, including the Google Analytics API. But the main requirement to use them is to enable the target API and get application credentials. We will explain this below.

Go to the Google API console (if necessary, log in to your Google account), name the new project and click the “Create” button.

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” search bar and select the Google Analytics API you want to use — for example, Google Analytics Reporting API.

Click Add Users and enter your email address. If necessary, enter e-mails for other users. Then click “Save and Continue”.

Offer. Click Create Account and select the type of account you want to use. If you’re not sure which option is right for your app, click Help me choose.

In most cases, the answer depends on several factors. If you need to export Google Analytics data repeatedly, the best option is the API. However, this requires coding skills. If you don’t have them, choose an add-on that will export your GA data to Google Sheets. It is better to export data manually if you do it relatively infrequently: once a month or quarterly.

Google Analytics Spreadsheet Add On

In our opinion, the most convenient way to export data is the Google Analytics plugin for Google Sheets. Once your data is in tables, you can easily transfer it to other tools, applications, and databases, such as BigQuery. If you’re interested, read our guide to Google Analytics for BigQuery. Good luck with your data! Customer behavior has evolved over the years, especially with the advent of the online business model. And if we want traffic, it will be web traffic. Nowadays, it’s not as simple as going to a website and buying the product or service you need. Before a customer lands on your website, there are various actions that take place. Therefore, it is your job to find out what they are.

Companies use a variety of advertising services, social media influencers, affiliate marketing, and more. attract customers to their sites. This makes it a bit more complicated to understand where your users are coming from. However, data like this is very important because it lets you know if your marketing efforts are actually working and generating high returns.

Google Analytics is one of several services provided by Google that is a tool for tracking and analyzing web activity. Many businesses use GA because it makes it easy to track marketing efforts, user activity, and other site performance factors. GA gives you access to over 100 reports and hundreds of other metrics and metrics.

We need to understand that critical information exists outside the GA ecosphere. This could be your inventory database, CRM or CMS for your physical store, or any source other than Google. The beauty of GA is that it also includes external data, following the format and other parameters required for seamless integration into the platform.

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Data Import is a GA function that loads data from an external source. Once you enter the GA platform, you can organize all the data for better analysis.

We only include data types that are currently relevant and supported in GA Universal analytics and GA4.

This type refers to any information about a user or customer, such as subscription status, lifetime purchase value, and audience segment. Requires a user ID as a key or custom dimension. You can use this data to create segments and lists for remarketing. However, you should be careful not to upload personal information or PII to your GA platform.

When you import campaign-specific dimensions, such as source or campaign name, you can reuse and extend campaign codes from non-Google services. A single campaign parameter can also simplify campaign tagging. In GA4

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