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Which report can compare metrics based on user acquisition date over a series of weeks?

Users Flow report

Active Users report

Cohort Analysis report

User Explorer report

Explanation:

Cohort analysis helps you understand the behavior of component groups of users apart from your user population as a whole. Examples of how you can use cohort analysis include to see how the behavior and performance of individual.

Read more here: https://support.google.com/analytics/answer/6158745

A cohort is a group of users who share a common characteristic that is identified in this report by an Analytics dimension. For example, all users with the same Acquisition Date belong to the same cohort. The Cohort Analysis report lets you isolate and analyze cohort behavior.

See cohort data

The Cohort Analysis report is available for properties using Universal Analytics. No changes to the tracking code are necessary.

To see cohort data:

1. Sign in to Google Analytics.
2. Navigate to your view.
3. Open Reports.
4. Select Audience > Cohort Analysis.

Ways to use cohort data

Cohort analysis helps you understand the behavior of component groups of users apart from your user population as a whole. Examples of how you can use cohort analysis include:

1. Examine individual cohorts to gauge response to short-term marketing efforts like single-day email campaigns.
2. See how the behavior and performance of individual groups of users changes day to day, week to week, and month to month, relative to when you acquired those users.
3. Organize users into groups based on shared characteristics like Acquisition Date, and then examine the behavior of those groups according to metrics like User Retention or Revenue.

You cannot change the default session timeout duration in Google Analytics.

True

False

Explanation:

A session is a group of interactions that take place on your website within a given time frame. By default, a session lasts until there’s 30 minutes of inactivity, but you can adjust this length so a session lasts a few seconds or several hours. A session can be as short as a few seconds or as long as several hours. A single user can open multiple sessions.
Read more here: https://support.google.com/analytics/answer/2731565

The concept of a session in Analytics is important to understand because many features, reports, and metrics depend on how Analytics calculates sessions.

Overview

A session is a group of user interactions with your website that take place within a given time frame. For example a single session can contain multiple page views, events, social interactions, and ecommerce transactions.

You can think of a session as the container for the actions a user takes on your site.

A single user can open multiple sessions. Those sessions can occur on the same day, or over several days, weeks, or months. As soon as one session ends, there is then an opportunity to start a new session. There are two methods by which a session ends:

• Time-based expiration:
  • After 30 minutes of inactivity
  • At midnight
• Campaign change:
  • If a user arrives via one campaign, leaves, and then comes back via a different campaign.

Time based expiration

How long does a session last?

By default, a session lasts until there’s 30 minutes of inactivity, but you can adjust this limit so a session lasts from a few seconds to several hours.

When a user, say Bob, arrives on your site, Analytics starts counting from that moment. If 30 minutes pass without any kind of interaction from Bob, the session ends. However, every time Bob interacts with an element (like an event, social interaction, or a new page), Analytics resets the expiration time by adding on an additional 30 minutes from the time of that interaction.

Example

Assume Bob interacts with your website at the following intervals:

After event 2, the session expiry is set to 14:34

When Bob first arrives on your site, the session is set to expire at 14:31. As Bob continues through your site, viewing pages and triggering events, each of these additional requests moves the expiry ahead 30 minutes.

What happens if during a session to my site, Bob leaves open a page while he takes a 31-minute lunch break, then returns to continue browsing the site?

In this scenario, the first session that was opened when Bob arrived on the site ends 30 minutes into his lunch break. When he returns from lunch and continues browsing the website, then Analytics sets a new 30-minute expiry, and a new session begins.

Bob was half way through a product purchase when he left your site and went for lunch. He later returned to complete the transaction. The landing page of the new session is the add-to-cart page.

What happens if Bob leaves open a page on my site, but only takes a 29-minute lunch break before he continues browsing?

When Bob returns, the session that was open continues from the last page he was viewing on your site (provided he doesn’t return via another campaign source — a bit more about this below). As far as Analytics is concerned, he never left your website.

Bob was half way through a product purchase when he left your site and went for lunch. The difference this time is that because he returned in under 30 minutes, the old session remains open. It’s worth noting that his time on page for pageview 2 (product) is 29 minutes, since time on page is calculated as the difference between the initiation of successive pageviews: pageview 3 – pageview 2 (14:31-14:02 = 00:29).

https://www.youtube.com/watch?v=aJ-M8DtHBYs

Which of these channels is NOT included in the default Channels report?

Display

Direct

Organic Search

Device

Explanation:

The default system channel definitions reflect Analytics’ current view of what constitutes each channel in the Default Channel Grouping.
Default channels are Direct, Organic Search, Social, Email, Affiliates, Referral, Paid Search, Other Advertising and Display.
Read more here: https://support.google.com/analytics/answer/3297892

The default system channel definitions reflect Analytics’ current view of what constitutes each channel in the Default Channel Grouping. While these definitions may evolve as the market evolves, we provide the current definitions here for your information.

https://www.youtube.com/watch?v=F7eFvMr61Kw

Which report helps you understand which kinds of mobile devices were used to visit your website?

Technology > Network report

All Traffic > Source/Medium report

Mobile > Devices report

Site Content > Landing Page report

Explanation:

With this (Mobile > Devices report) report, you can find out how many users you acquired on one type of device convert on that same type of device, how many convert on a different type of device, and how many don’t convert at all.

Read more here: https://support.google.com/analytics/answer/3123672

The Acquisition Device report combines attribution and traffic metrics so you can see the relationship between acquisition and conversion.

With this report, you can find out how many users you acquired on one type of device convert on that same type of device, how many convert on a different type of device, and how many don’t convert at all. For example, you might find that one segment of users make their first session and and purchases something in a subsequent session on a Tablet, while another segment make their first session on Mobile but generate more revenue on Desktop.

The Acquisition Device report can help you better understand how different devices contribute to the ways you attract new users and convince all users to convert.

Using the Acquisition Device report

The data table in this report displays a row for each of the device categories defined in Analytics: Desktop (which includes laptops), Tablet, and Mobile.

The number of Users associated with each row represents the acquisitions that can be attributed to that device category. This is the segment of users that used a device in that category the first time they were assigned a User ID during the date range selected in the report. For example, Users in the Mobile row of the data table were assigned a User ID while using a mobile device, but they might have used another device (like a Tablet or Desktop) to engage with content or make a purchase both before and after their mobile session.

The Revenue for Originating Device metric shows you how much revenue was generated on the same device type on which you acquired those users.

Revenue From Other Devices displays how much revenue is generated on devices in a different category than the one on which you acquired those users.

Totals for these metrics, which combine data from all three device categories, appear as scorecards above the data table; details for each category only appear in the data table.

Revenue in a User ID view is calculated based on user and not session data, the numbers are different than in other reports. Learn more about limits of User ID views.

Once you have deleted a view, you have a limited number of days to restore that view.

True

False

Explanation:

A view is permanently deleted 35 days after being moved to the Trash Can. Once deleted, the view is gone, and we are not be able to retrieve any historical data or reinstate the reports. This includes any setting and configuration preferences, like Goals and user permissions, but does not include data saved at the property or account level.

Read more here: https://support.google.com/analytics/answer/1009621

You must have Edit permission to move a view to the Trash Can. To move a view to the Trash Can:

1. Sign in to Google Analytics..
2. Click Admin, and navigate to the view you wish to delete.
3. In the VIEW column, click View Settings.
4. Click Move view to Trash Can.
5. Click Move view to Trash Can in the confirmation message.

https://www.youtube.com/watch?v=a0CPWrpT4Ew

Google Analytics filters are applied in the order in which they are set in your view.

TRUE

FALSE

Explanation:

By default, view filters are applied to the data in the order in which the filters were added. So, if there are existing filters for a view, your new filter is applied after them.

Read more here: https://support.google.com/analytics/answer/1034823

You can create filters at the account level, and then apply them to one or more views.

You can create filters at the view level that apply only to that view, and you can manage account-level filters that have been applied to the view.

Permissions

Users who have Edit permission at the account level can:

• Create/edit filters at the account level
• Create/edit filters at the view level
• Apply filters to any view in the account

Users who have Edit permission at the view level can:

• Apply existing filters to or remove them from that view, but cannot create new filters or edit existing filters

Create a filter at the account level

To create a filter at the account level:

1. Sign in to Google Analytics..
2. Click Admin, and navigate to the account in which you want to create the filter.
3. In the ACCOUNT column, click All Filters.
4. Click + New Filter. (If this button is not visible, you do not have the necessary permission.)
5. Select Create new Filter.
6. Enter a name for the filter.
7. Select Predefined filter to select from the predefined filter types.
8. Select Custom filter to construct a custom filter from the options we provide. If you create a custom filter, consult our definitions of the filter fields.
9. From the Available views list, select the views to which you want to apply the filter, then click Add.
10. Click Save.

By default, view filters are applied to the data in the order in which the filters were added. So, if there are existing filters for a view, your new filter is applied after them. Follow the instructions to change the filter order for a view, below.