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You may apply a new Custom Channel Group retroactively to organize data that has been previously collected.

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You may apply a new Custom Channel Group retroactively to organize data that has been previously collected.

 

False

 

True

 

Explanation:

When you create a Custom Channel Grouping at the user level or create a new Channel Grouping in a view, you:

  • Can immediately select it in reports.
  • Can apply it retroactively and see historical data classified by your new channel definitions.
  • Change how reports display your data, without changing the data itself.

Read more here: https://support.google.com/analytics/answer/6010097

 

Channel Groupings are rule-based groupings of your traffic sources. Throughout Analytics reports, you can see your data organized according to the Default Channel Grouping, a grouping of the most common sources of traffic, like Paid Searchand Direct. This allows you to quickly check the performance of each of your traffic channels.

Channel Groupings overview

The channels in the Default Channel Grouping meet the needs of most Analytics users, but if you have specific analysis requirements and want to label your traffic in other ways, you can:

  • Create a Custom Channel Grouping (user level).
  • Create a new Channel Grouping (view level).
  • Edit the Default Channel Grouping (view level).

When you create a Custom Channel Grouping at the user level or create a new Channel Grouping in a view, you:

  • Can immediately select it in reports.
  • Can apply it retroactively and see historical data classified by your new channel definitions.
  • Change how reports display your data, without changing the data itself.

When you edit the Default Channel Grouping for a view, you:

  • Permanently change the raw data for new sessions by altering how Analytics labels incoming traffic. All sessions that occur after you edit the Default Channel Grouping are labelled according to your updated channel definitions.
  • Can’t apply your new channel definitions retroactively, so the historical Channel Grouping of traffic won’t change.

Create a Custom Channel Grouping

A Custom Channel Grouping is only visible to the user who created it. To create a Custom Channel Grouping:

  1. Sign in to Google Analytics.
  2. Click Admin, and navigate to the view in which you want to create a Custom Channel Grouping.
  3. Under PERSONAL TOOLS & ASSETS, click Custom Channel Groupings.
  4. Click +New Channel Grouping.
  5. Enter a name for your new channel grouping.
  6. Click +Define a new channel.
  7. Enter a name for your new channel.
  8. Define the rules for the new channel. These rules are case sensitive.
    • From the first drop-down menu, select a dimension.
    • From the second drop-down menu, select an operator.
    • In the text field, enter the value you want to use. For example, Source contains plus.google.com.
    • Add AND and OR statements as necessary, then click Done.
  9. Add and define additional channels.
  10. Drag the channels to specify the order in which they should apply.
  11. Click the Save button.

You can create a maximum of 100 Custom Channel Groupings per user.

 

https://www.youtube.com/watch?v=bCOa_Xp_BJ8

 

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

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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.

By

 

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?

By

 

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.

Notes

  • These channel definitions are case sensitive. When manually tagging URLs, use lowercase tags to ensure Analytics categorizes sessions correctly. For example, email campaigns tagged as Email do not match the system definition for the Email channel.
  • Not all dimensions allow Analytics to query associated cost data. If such dimensions are used within a Channel Grouping object, the cost data for the channel grouping can’t be retrieved.
Channel Description
Direct Source exactly matches direct AND
Medium exactly matches (not set)
OR
Medium exactly matches (none)
Organic Search Medium exactly matches organic
Social Social Source Referral exactly matches Yes
OR
Medium matches regex ^(social|social-network|social-media|sm|social network|social media)$
Email Medium exactly matches email
Affiliates Medium exactly matches affiliate
Referral Medium exactly matches referral
Paid Search Medium matches regex ^(cpc|ppc|paidsearch)$
AND
Ad Distribution Network does not exactly match Content
Other Advertising Medium matches regex ^(cpv|cpa|cpp|content-text)$
Display Medium matches regex ^(display|cpm|banner)$
OR
Ad Distribution Network exactly matches Content

 

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

 

If you define a Destination Goal for a newsletter sign-up, and a user completes the newsletter sign-up three times in three separate sessions, how many Goal conversions will Google Analytics count?

By

If you define a Destination Goal for a newsletter sign-up, and a user completes the newsletter sign-up three times in three separate sessions, how many Goal conversions will Google Analytics count?

 

  • 0
  • 1
  • 2
  • 3

 

Explanation:

Goals are configured at the view level. Goals can be applied to specific pages or screens your users visit, how many pages/screens they view in a session, how long they stay on your site or app, and the events they trigger while they are there.

Read more here: https://support.google.com/analytics/answer/1012040

 

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

By

 

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.