1. The Google Analytics app helps you monitor your websites on your Mac. With this app, you can: 1) Check key metrics in built-in reports 2) Compare date ranges and apply segments.
  2. Here's how you can block Google Analytics and stop it from tracking you on your Mac. Open a terminal window. Type in the following command then hit Enter: sudo nano /private/etc/hosts 3.
  1. Google Analytics Mac Catalyst
  2. Google Analytics For Mac Desktop

Gain Insights with Analytics. Measure your app’s performance and get unique insights with data you won’t find anywhere else using App Analytics, Sales and Trends, and Payments and Financial Reports. Available in App Store Connect, these tools are included with Apple Developer Program membership and require no technical implementation.

Measure your app’s performance and get unique insights with data you won’t find anywhere else using App Analytics, Sales and Trends, and Payments and Financial Reports. Available in App Store Connect, these tools are included with Apple Developer Program membership and require no technical implementation.

App Analytics

Find out how customers discover and engage with your app.

App Store Performance

See how many users discover your app while searching or browsing on the App Store, and find out which apps and websites bring customers to your product page. You can also measure the percentage of views of your app on the App Store that result in a first-time download. This data provides insight into how your marketing efforts and metadata changes affect downloads.

Google Analytics For Mac

Marketing Campaigns

Measure the performance of your marketing campaigns across channels, such as social media, email, and paid advertising, so you can focus on the campaigns that are most effective. Track downloads from Smart App Banners in Safari and cross-promotion in apps that use StoreKit to display your product page. Create unique links for each marketing campaign, so you’ll understand your average spend per user and know which campaigns drive the most downloads.

App Engagement and Usage

Track a variety of user engagement metrics, find out if users continue to use your app, and view the number of installations, sessions, and active devices. This information allows you to evaluate the impact of product changes, such as adjustments to the onboarding experience or the addition of special in-app content. View crash and deletion data by platform, app version, and operating system version to pinpoint potential causes and create a better user experience.

Paying Users

View the number of unique paying users by day, week, or month. The daily number of unique paying users can help you assess whether changes you make impact user spending within your app. Filter sales per paying users by source to learn the average spend per user from a particular campaign, app, or website.

Sales and Trends

Get daily data to understand your app’s performance and forecast your sales. Download reports with additional data to conduct deeper analysis.

Subscription Activity

View the number of active paid subscribers, subscribers that continue renewing, subscribers that convert to a standard price from an introductory price, and more. See how many new customers subscribe each day, as well as daily subscription sales, reasons a subscription has been cancelled (including billing issues and price increases), and more. You can also filter this data by metrics, such as app, subscription,and other metrics to analyze performance.

Business Performance

View data for first-time downloads of your apps, initiated sales, initiated pre-orders, and estimated proceeds. You can also filter data by date ranges, transaction types, subscription offerings, territories, and other metrics.

Payments and Financial Reports

View your final proceeds for each month, with earnings broken out by territory and currency. See the rates used to convert your earnings from local currencies (when available) and any taxes and adjustments applied. You can also download more detailed reports of all transactions, including the number of units sold per app or in-app purchase, for the month.

Getting Started

To get started, sign in to App Store Connect. These tools are available to the following roles: Account Holder, Admin, Sales, and Finance.

This article describes how to connect Tableau to Google Analytics (GA) and set up the data source.

Before you begin

Before you begin, gather this connection information:

  • GA email address and password

Make the connection and set up the data source

  1. Start Tableau and under Connect, select Google Analytics. For a complete list of data connections, select More under To a Server. In the tab Tableau opens in your default browser, do the following:

    1. Sign in to GA using your email or phone, and then select Next to enter your password. If multiple accounts are listed, select the account that has the GA data you want to access, and enter the password, if you are not already signed in.

    2. Select Allow so that Tableau Desktop can access your GA data.

    3. Close the browser window when notified to do so.

  2. On the data source page, do the following:

    1. (Optional) Select the default data source name at the top of the page, and then enter a unique data source name for use in Tableau. For example, use a data source naming convention that helps other users of the data source figure out which data source to connect to.

    2. Follow the steps at the top of the data source page to complete the connection.

      1. Step 1 – Select an Account, Property, and Profile using the drop-down menus.

      2. Step 2 – Select filters for a date range and a segment.

        • For Date Range, you can select one of the predefined date ranges or select specific dates. When selecting a date range, GA can provide complete data only up to the previous full day. For example, if you choose Last 30 days, data will be retrieved for the last 30-day period ending yesterday.

        • For Segment, select a segment to filter your data. Segments are preset filters that you can set for a GA connection. Default Segments are defined by Google, and Custom Segments are defined by the user on the GA website. Segments also help prevent sampling to occur by filtering the data as defined by the segment. For example, with a segment, you can get results for a specific platform, such as tablets, or for a particular search engine, such as Google.

      3. Note: GA restricts the amount of data that it returns in a query. When you try to retrieve more data than GA allows in a single query, GA returns sampled data instead. If Tableau detects that your GA query might return sampled data, Tableau attempts to bypass the query restriction to return all data instead. For more information, see All data vs. sampled data returned from a query below.

        Step 3 – Add dimensions and measures by using the Add Dimension and Add Measure drop-down menus, or select a predefined set of measures from the Choose a Measure Group drop-down menu. Some dimensions and measures cannot be used together. For more information, see Dimensions & Metrics Reference Guide(Link opens in a new window) on the Google developer website.

    3. Select the sheet tab to start your analysis. After you select the sheet tab, Tableau imports the data by creating an extract. Note that Tableau Desktop supports only extracts for Google Analytics. You can update the data by refreshing the extract. For more information, see Extract Your Data.

All data vs. sampled data returned from a query

GA restricts the amount of data that it returns from a query and provides sampled data instead. Sampled data is a random subset of your data. When performing analysis on sampled data, you can miss interesting outliers, and aggregations can be inaccurate. If Tableau detects that your query might return sampled data, by default, Tableau creates multiple queries from your query, and then combines the results from the queries to return all data.

You see the following message when Tableau returns all data.

If the query stays within the boundaries of the query restrictions, GA doesn't return sampled data and you do not see the above message.

Troubleshoot issues with returning all data

If your query continues to return sampled data, consider the following:

  • Missing date dimension – You must use the date dimension in your query to return all data.

  • Too much data – Your query might contain too much data. Reduce the date range. Note that the minimum date range is one day.

  • Non-aggregatable dimensions and measures – Some dimensions and measures cannot be separated into multiple queries. If you suspect a problematic dimension or measure in your query, hover over the All data button to see the tooltip that shows which dimensions or measures to remove from your query.

  • Legacy workbooks – Workbooks created in Tableau Desktop 9.1 and earlier cannot return all data. Open the legacy workbook in Tableau Desktop 9.2 and later and save the workbook.

Return sampled data

In cases when workbook performance is critical or there are specific dimensions and measures you want to use in your query that are not supported by Tableau’s default query process, use sampled data instead. To return sampled data, select the Sample data button.

Google Analytics Mac Catalyst

See also

Google Analytics For Mac Desktop

  • Set Up Data Sources – Add more data to this data source or prepare your data before you analyze it.
  • Build Charts and Analyze Data – Begin your data analysis.

5 Tips to Get More from Google Analytics(Link opens in a new window) - Read the Tableau whitepaper (registration or sign in required).

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