[UA] About Data Import - Analytics Help (2024)

Get a unified view of your data

This article is about data import in Universal Analytics. For information about data import in Google Analytics 4, go to [GA4] About Data Import.

Data Import lets you upload data from external sources and combine it with data you collect via Analytics. You can then use Analytics to organize and analyze all of your data in ways that better reflect your business.

In this article:

  • Why use Data Import
  • Types of data you can import
  • Where is Data Import?
  • How Data Import works
  • Next steps
  • Related resources

Why use Data Import?

If you use a variety of systems and tools to run your business, you can use Analytics to join and analyze that data in one place. For example, you can turn separate CRM data, Ecommerce data, and Analytics data into a single comprehensive view of your business.

Each business system you use generates its own data store. Your CRM might contain information like customer-loyalty rating, lifetime value and product preferences. If you are a web publisher, your content management tool probably stores data dimensions such as author and article category. If you are an ecommerce business, you might create catalogs that describe your products according to prices, style, size, etc. And (since you're reading this), you most likely use Analytics to track traffic and performance for your websites, mobile apps or appliances. Typically, this data exists in its own "information silo," unaffected and uninformed by the data in other silos.

[UA] About Data Import - Analytics Help (1)

Data Import lets you join the data generated by your offline business systems with the online data collected by Analytics. This can help you organize, analyze and act upon this unified data view in ways that are better aligned with your specific and unique business needs. For example, as a web publisher, you could join hits collected by Analytics with data dimensions exported from your CMS and CRM systems to analyze the relative contributions of authors to your site.

Types of data you can import

Data Import lets you upload and integrate information with your Analytics account at 3 different points in the data collection and processing chain.

Hit-data import

Hit-data import lets you send hit data directly into Analytics. This provides an alternative to using the tracking code, Collection API, the Mobile SDKs, or the Measurement Protocol. Imported hits are added to your Analytics property prior to any processing; therefore, your imported data may be affected by processing-time actions, such as filters. Because you are importing hits, this data can be seen by all reporting views for that property (unless you specifically filter them from selected views).

This type of import supports uploading the following types of data:

  • Refund Data—align your internal ecommerce reporting with Analytics by importing ecommerce refund data.

Extended-data import

Extended-data import adds to (extends) the data already collected and processed, or being processed, for the selected reporting views. Typically, this extended data is stored in a custom dimension or metric, though in some cases you might want to overwrite the default information already gathered (for example, importing a campaign's Source or Medium dimension).

You can upload the following data types:

  • User Data—create segments and remarketing lists that incorporate imported user metadata, such as a loyalty rating or lifetime customer value.
  • Campaign Data—expand and reuse your existing non-Google campaign codes by importing ad campaign-related dimensions, such as source.
  • Geographical Data—create custom geographical regions, allowing you to report on and analyze Analytics data in ways that are better aligned with your business' organization.
  • Content Data—group content using imported content metadata, such as author, date published, and article category.
  • Product Data—gain better merchandising insights by importing product metadata, such as size, color, style, or other product-related dimensions.
  • Custom Data—provides support for importing custom data sets.

Summary-data import

Summary-data import lets you sum uploaded metrics. Imported summary data is applied to the selected reporting views after all processing and aggregation of collected data. This can be useful when you receive data in batches some time following hit collection, as summary data import lets you add to or update your information as it becomes available.

Currently, summary data import supports the following import type:

  • Cost Data—include 3rd party (non-Google) ad network clicks, cost and impression data to gain a more complete picture of your ad spend.

Where is Data Import?

[UA] About Data Import - Analytics Help (2)

To access Data Import:

  1. Sign in to Google Analytics.
  2. Click Admin, and navigate to the property to which you want to upload the data.
  3. In the PROPERTY column, click Data Import. This displays the Data Sets page.
  4. Select an existing Data Set or create a new one to hold your imported data.

How Data Import works

Data Import works by uploading text files containing external data to an Analytics property. This information is typically exported from an offline business tool (for example, your CRM or CMS system). For smaller amounts of data, you might create the upload file manually, using a text editor or spreadsheet.

Data Import joins the offline data you've uploaded with the default hit data being collected by Analytics from your websites, mobile apps or other devices. Imported data can be used to enhance your reports, segments and remarketing audiences in ways that reflect your own business needs and organization. The result is a much fuller, more complete picture of your users' on- and offline activity.

How you upload data

You can upload data by one of two methods:

  • From the Analytics user interface, using the Admin > (Property) > Data Import option
  • Using the Analytics Management API

The uploaded data is added to or modifies data already collected for that Property by the Javascript tracking code, mobile SDK or measurement protocol.

How Data Import joins on- and offline data

When you configure Data Import, you create a Data Set, which defines one or more dimensions to use as a key. Data Import uses this key to match values in the uploaded data to values in your collected hit data. The rest of your imported data you upload is stored in the dimensions or metrics you define in the Data Set. Imported data can use either default or custom dimensions and metrics. Imported data can be used in reports, remarketing audiences and other Analytics tools alongside standard data collected by the website tracking code, mobile SDK or Measurement Protocol.

Import vs. collection

Expand the section below to learn some reasons why you might want to import data rather than rely on collecting hit data. Advantages of Data Import over hit collection

Analytics has essentially two ways of gathering data:

  • by sending hits collected by the JavaScript tracking code, mobile SDK or the Measurement protocol,
  • using Data Import.

While you can augment the hit data with custom data by passing parameters in the page URL or using the Analytics API, there are a number of reasons why this may not be the best approach, such as:

  • Augmenting hit data requires a knowledgable developer to write custom code.
  • The data is sensitive, e.g., user data, so you don't want to send it in clear text.
  • The amount of data is large so you don’t want to append it to each hit.
  • The data might not be available when the hit occurs.

Importing data in asynchronous batches resolves these issues.

Next steps

  • Learn more about Data Sets.
  • Learn about the types of data you can import.
  • Set up Data Import.
  • See the upload examples for step by step import instructions.
  • View the limits of Data Import.
  • [UA] About Data Import - Analytics Help (3) Data Import - Developer Guide

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[UA] About Data Import - Analytics Help (2024)

FAQs

[UA] About Data Import - Analytics Help? ›

Universal Analytics measures screenviews in separate mobile-specific properties, whereas GA4 combines both web and app data in the same property. If you're measuring both web and app data in your GA4 property, be sure to take the additional app traffic into consideration when comparing pageview metrics between the 2.

How to import data from UA to GA4? ›

Instructions
  1. In the Property column, select the Google Analytics 4 property that currently collects data for your website.
  2. In the Property column, click Setup Assistant.
  3. Under Property settings, go to Set up conversions, and click the Actions icon .
  4. Click Import from Universal Analytics.

What is the difference between UA and GA4 data? ›

Universal Analytics measures screenviews in separate mobile-specific properties, whereas GA4 combines both web and app data in the same property. If you're measuring both web and app data in your GA4 property, be sure to take the additional app traffic into consideration when comparing pageview metrics between the 2.

How to find UA code for Google Analytics? ›

Find your "UA-" ID

Click Admin in your Universal Analytics property. In the Property column, click Property Settings. Your "UA-" ID appears at the top of the Property Settings page.

Why is importing data important? ›

The importance of data import in BI cannot be overstated. Some of the key benefits of data import include: High-Quality Data: The accuracy and completeness of data determine the value of BI. Data import ensures that data is up-to-date, clean, and consistent, allowing for accurate analysis and reporting.

How long does it take to migrate from UA to GA4? ›

On the Create a new Google Analytics 4 property page, you have the option to check Enable data collection using existing tags to include your existing tags in the migration. Then, click Create property. Note: The full migration takes up to five business days to complete.

How to migrate to GA4 step by step? ›

Here's how to migrate to Google Analytics 4 (GA4) from UA in 11 steps:
  1. Make an audit of your UA property.
  2. Plan out the structure of your GA4 account.
  3. Manage your user permissions.
  4. Check your property settings.
  5. Identify the events to be migrated.
  6. Check what custom dimensions and metrics should be set up.

Can you run GA4 and UA together? ›

The Google Analytics 4 Property Setup Assistant tool creates a new GA4 property that collects data alongside your existing UA property. Your UA property remains unchanged. You can access both properties using the property selector or Admin page.

How to merge UA and GA4 data? ›

Merging UA and GA4

Navigate to your organization settings resources to merge UA with GA4. In the drop down menu you need to select which UA resource you would like to merge with the GA4 resource. Once merged you can navigate to Website Analytics to see your analytics data in one unified graph.

What are the data discrepancies between UA and GA4? ›

Our research across 18 randomly-selected organizations with valid, comparable GA4 and UA deployments finds the following: Users: median discrepancy = GA4 +9.87% (i.e. GA4 records 9.87% more users than UA) Sessions: median discrepancy = GA4 +8.55% Pageviews: median discrepancy = GA4 +5.61%

How do I know if my property is GA4 or UA? ›

The easiest way to figure out whether you're looking at a GA4 or a UA property is by the “tracking” ID. GA4 properties have a Measurement ID. A Measurement ID starts with a capital G and a hyphen (G-) followed by a string of up to 10 characters. These characters can be numbers and letters.

Why does my Google Analytics not have a UA? ›

Google Analytics 4 has replaced Universal Analytics

Starting July 1, 2023, Universal Analytics properties stopped processing data.

How do I set up UA Analytics? ›

Create an Analytics account
  1. In Admin, in the Account column, click Create Account.
  2. Provide an account name. Configure the data-sharing settings to control which data you share with Google.
  3. Click Next to add the first property to the account.

How do I import data into Google Analytics? ›

Start the import process
  1. Click Create data source.
  2. Enter a name for your data source.
  3. Select the data type: ...
  4. Click Review terms if prompted. ...
  5. Do one of the following: ...
  6. Click Next to proceed to the mapping stage.
  7. Select the Analytics fields and imported fields you want to map to one another. ...
  8. Click Import.

Where can I find import data? ›

Visit the Census Bureau's Data Gem on USA Trade Online, to learn how to use this dynamic data tool that gives users access to current and cumulative U.S. export and import data.

What are two benefits of importing? ›

Benefits of importing
  • Introducing new products to the market. Many businesses in India and China tend to produce goods for the European and American market. ...
  • Reducing costs. Another major benefit of importing is the reduce in manufacturing costs. ...
  • Becoming a leader in the industry. ...
  • Providing high quality products.

How do I import audiences from UA to GA4? ›

Add audiences to Google Ads
  1. Go to the campaign or ad group where you deployed Universal Analytics audiences.
  2. Open the Audiences section.
  3. Add the Google Analytics 4 audiences to the targeting options in addition to the Universal Analytics audiences.

How do I migrate from UA to GA4 ecommerce? ›

How to Convert UA Ecommerce Tracking to GA4
  1. Step 1: Log in to https://analytics.google.com. ...
  2. Step 2: Click to GA4 Setup Assistant. ...
  3. Step 3: You now have a Google Analytics 4 property. ...
  4. Step 4: Setup a GA4 tag. ...
  5. Step 5: Choose if you'd like to use Google Signals or not. ...
  6. Step 6: Set up conversions. ...
  7. Step 7: Reconfigure Ecommerce.
Sep 2, 2022

How do I transfer data from GA3 to GA4? ›

For a smooth transition in migrating from GA3 to GA4, you'll need to:
  1. Set up a new GA4 property: Start by creating a new GA4 property in your Google Analytics account. ...
  2. Configure data streams: Next, configure data streams to collect data from your websites and apps.
Mar 15, 2024

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