CertificationAnswers

How would you determine the mobile ecommerce conversion rate for paid traffic (CPC)?

 

Go to Audience > Mobile > Overview. Add a secondary dimension showing Traffic type in order to see the traffic coming from paid search

Go to Acquisition > All traffic > Channels. Add a secondary dimension showing device category in order to see the paid search traffic coming from mobile

Both A and B are correct steps for determining the mobile ecommerce conversion rate for paid traffic

In Analytics you can only see traffic coming from desktop or from Mobile/tablet together. There is no way you can see mobile traffic only

 

 

How would you determine the mobile ecommerce conversion rate for paid traffic CPC

 

Explanation:

 

Compare conversion rates for mobile as a whole, and for each mobile platform, with conversion rates for desktop. Your conversion rates for mobile should be consistent with those for desktop.

 

Compare conversion rates for mobile as a whole, and for each mobile platform, with conversion rates for desktop. Your conversion rates for mobile should be consistent with those for desktop.
Source

 

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

 

 

True or False: If you have updated your tracking code to analytics.js, then no additional configuration is required to track subdomains.

 

True: With analytics.js you can track across your domain and subdomains with no additional configuration.

False. You must always set up cross domain tracking in order to track subdomains.

 

 

True: With analytics.js you can track across your domain and subdomains with no additional configuration

 

Explanation:

 

When you set up cross domain tracking, you can collect data from multiple websites into a single account property. This lets you see data from different sites in the same reporting view.

 

In some configurations, like with 3rd party shopping carts, this is ideal. In other configurations, however, we recommend that you set up multiple views: one view for all of the traffic collected in the cross domain tracking setup, and a separate filtered views to display data only from each individual domain. This lets you analyze the traffic from all of the different domains together in one view, and use the other views to analyze data from each domain in a separate set of reports when necessary.

 

Multiple domains
If you have multiple top-level domains, like www.example1.com and www.example2.com, you can set up cross domain tracking to collect and send data from both domains to the same Analytics account property.

Subdomains
If you have updated your tracking code to analytics.js, then no additional configuration is required to track subdomains.
You can use cross domain tracking to collect data from a primary domain, like www.example.com, and a subdomain, like www.subdomain.example.com, in a single Analytics account property.

3rd party shopping carts
If you use a 3rd party shopping cart, your traffic probably has to leave your domain to complete a purchase, but you can use cross domain tracking to keep track of users as they go through the entire checkout process and move between your domain and the domain that hosts your shopping cart.

IFrame content
If you have content that displays on another domain through an iFrame or a similar technology, you can still collect data from that traffic with cross domain tracking.

 

Source

 

https://www.youtube.com/watch?v=VH3KFsXy2yc

 

Google Analytics uses which model by default when attributing conversion values in non-Multi-Channel Funnel reports?

 

First Interaction model

Last Interaction model

Last Non-Direct Click model

Linear model

 

Google Analytics uses which model by default when attributing conversion values in non-Multi-Channel Funnel reports

 

Explanation:

 

Analytics provides the following default attribution models in the Model Comparison Tool. You can also create your own custom models in the tool.

 

Default attribution models
Last Interaction Model icon The Last Interaction model attributes 100% of the conversion value to the last channel with which the customer interacted before buying or converting.
When it’s useful: If your ads and campaigns are designed to attract people at the moment of purchase, or your business is primarily transactional with a sales cycle that does not involve a consideration phase, the Last Interaction model may be appropriate.

Icon for Last Non-Direct and last AdWords Click The Last Non-Direct Click model ignores direct traffic and attributes 100% of the conversion value to the last channel that the customer clicked through from before buying or converting. Analytics uses this model by default when attributing conversion value in non-Multi-Channel Funnels reports.
When it’s useful:
Because the Last Non-Direct Click model is the default model used for non-Multi-Channel Funnels reports, it provides a useful benchmark to compare with results from other models.
In addition, if you consider direct traffic to be from customers who have already been won through a different channel, then you may wish to filter out direct traffic and focus on the last marketing activity before conversion.

Icon for Last Non-Direct and last AdWords Click The Last AdWords Click model attributes 100% of the conversion value to the most recent AdWords ad that the customer clicked before buying or converting.
When it’s useful: If you want to identify and credit the AdWords ads that closed the most conversions, use the Last AdWords Click model.

First Interaction Model icon The First Interaction model attributes 100% of the conversion value to the first channel with which the customer interacted.
When it’s useful: This model is appropriate if you run ads or campaigns to create initial awareness. For example, if your brand is not well known, you may place a premium on the keywords or channels that first exposed customers to the brand.

Linear Model icon The Linear model gives equal credit to each channel interaction on the way to conversion.
When it’s useful: This model is useful if your campaigns are designed to maintain contact and awareness with the customer throughout the entire sales cycle. In this case, each touchpoint is equally important during the consideration process.

Time Decay Model icon If the sales cycle involves only a short consideration phase, the Time Decay model may be appropriate. This model is based on the concept of exponential decay and most heavily credits the touchpoints that occurred nearest to the time of conversion. The Time Decay model has a default half-life of 7 days, meaning that a touchpoint occurring 7 days prior to a conversion will receive 1/2 the credit of a touchpoint that occurs on the day of conversion. Similarly, a touchpoint occuring 14 days prior will receive 1/4 the credit of a day-of-conversion touchpoint. The exponential decay continues within your lookback window (default of 30 days).
When it’s useful: If you run one-day or two-day promotion campaigns, you may wish to give more credit to interactions during the days of the promotion. In this case, interactions that occurred one week before have only a small value as compared to touchpoints near the conversion.

Position Based Model icon The Position Based model allows you to create a hybrid of the Last Interaction and First Interaction models. Instead of giving all the credit to either the first or last interaction, you can split the credit between them. One common scenario is to assign 40% credit each to the first interaction and last interaction, and assign 20% credit to the interactions in the middle.
When it’s useful: If you most value touchpoints that introduced customers to your brand and final touchpoints that resulted in sales, use the Position Based model.
Source

 

The Last Non-Direct Click model ignores direct traffic and attributes 100% of the conversion value to the last channel that the customer clicked through from before buying or converting. Analytics uses this model by default when attributing conversion value in non-Multi-Channel Funnels reports.

When it’s useful:

Because the Last Non-Direct Click model is the default model used for non-Multi-Channel Funnels reports, it provides a useful benchmark to compare with results from other models.

In addition, if you consider direct traffic to be from customers who have already been won through a different channel, then you may wish to filter out direct traffic and focus on the last marketing activity before conversion.

Read more here: https://support.google.com/analytics/answer/1665189?hl=en

 

 

https://www.youtube.com/watch?v=Q-8UJToD9MQ

True or False: Once a view is deleted it cannot be restored.

 

True: Deleted views cannot be restored at any time.

False: You have 35 days to restore a view after it is deleted.

 

True or False: Once a view is deleted it cannot be restored

 

Explanation:

 

The Trash Can contains accounts, properties, and views that have been marked for deletion. You have 35 days to restore items from the Trash Can before they are permanently deleted.

 

About the Trash Can
The Trash Can is a temporary holding area for accounts, properties, and views before they are deleted. Account, properties, and views are moved to the Trash Can and held for 35 days before they are permanently deleted.

The Trash Can shows a list of all the entities that are marked for deletion, the user who marked them for deletion, and the date they will be permanently deleted. You restore an entity by selecting it and moving it out of the Trash Can. You need Edit permission on the account to access the Trash Can.

After 35 days in the Trash Can, an entity is permanently deleted.

 

Source

 

https://www.youtube.com/watch?v=K6wV3RYBKO0

 

Related keyword:

 

Once a view is deleted it cannot be restored

 

Which of the following metrics is available when Site Search tracking is enabled?

 

Sessions with Search: The number of sessions that used your site’s search function at least once.

Search Exits: The number of searches made immediately before leaving the site.

Time after Search: The amount of time users spend on your site after performing a search.

Search Refinements: The number of times a user searched again immediately after performing a search.

All of the above

 

 

 

Which of the following metrics is available when site search tracking is enabled

 

Explanation:

 

Sessions with Search = The number of sessions that used your site’s search function at least once.

Percentage of sessions that used internal search = Sessions with Search / Total Sessions.

Total Unique Searches = The total number of times your site search was used. This excludes multiple searches on the same keyword during the same session.

Results Pageviews / Search = Pageviews of search result pages / Total Unique Searches.

Search Exits = The number of searches made immediately before leaving the site.

Percentage of Search Exits = Search Exits / Total Unique Searches

Search Refinements = The number of times a user searched again immediately after performing a search.

Percentage Search Refinements = The percentage of searches that resulted in a search refinement. Calculated as Search Refinements / Pageviews of search result pages.

Time after Search = The amount of time users spend on your site after performing a search. This is calculated as Sum of all search_duration across all searches / (search_transitions + 1)

Search Depth = The number of pages viewed after performing a search. This is calculated as Sum of all search_depth across all searches / (search_transitions + 1)

 

Source

 

https://www.youtube.com/watch?v=JaTU-hoeK9w

Related keyword:

 

Which of the following metrics are available when Site Search tracking is enabled?

 

You decide to run an email campaign that includes a link to your website. What would you need to do in order to track traffic to your site from this email campaign?

 

Email traffic will always appear as referral and cannot be tracked separately.

Email is a default medium in Google Analytics and will automatically appear in your reports.

Email traffic can be tracked using manual tagging with UTM parameters

 

You decide to run an email campaign that includes a link to your website. What would you need to do in order to track traffic to your site from this email campaign

 

 

Explanation:

 

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.

 

Source

 

https://www.youtube.com/watch?v=HqhGIA57C_s