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Which of the following criteria could NOT be used for a Dynamic Remarketing audience?

August 31, 2017 By CertificationAnswers

Which of the following criteria could NOT be used for a Dynamic Remarketing audience?

 

  • Users who viewed your homepage
  • Users who viewed a search result page on your website
  • Users who viewed product detail pages
  • Users who returned an item they purchased

 

What criteria could not be used to create a Dynamic Remarketing audience?

  • Users who viewed a search result page on your website
  • Users who viewed product detail pages
  • Users who viewed your homepage
  • Users who returned an item they purchased

 

Explanation:

 

you can implement Dynamic Remarketing by using the preconfigured All Users list, creating more narrowly targeted lists lets you focus your ad content and budget where it will have the most impact. For example, users who have already added items to their shopping carts might need just a reminder or incentive to complete their transactions, while users who have only viewed the products may need more convincing about the overall value of the products.
By following the same procedure you use to create Remarketing Audiences, you can build segment-based Dynamic Remarketing Audiences using your new dimensions.
Read more here: https://support.google.com/analytics/answer/3457161

After you’ve updated your tags with the vertical attributes you want to use, those attributes are then available in Analytics, and you can use them to create your Remarketing Audiences.

Target users based on where they are in the conversion funnel

You can create user-based Remarketing Audiences in Analytics that identify users in various levels of the conversion funnel. While you can implement Dynamic Remarketing by using the preconfigured All Users list, creating more narrowly targeted lists lets you focus your ad content and budget where it will have the most impact. For example, users who have already added items to their shopping carts might need just a reminder or incentive to complete their transactions, while users who have only viewed the products may need more convincing about the overall value of the products.

By following the same procedure you use to create Remarketing Audiences, you can build segment-based Dynamic Remarketing Audiences using your new dimensions:

  • General users (for example, users who viewed your home page, or any of your category or product pages)
  • Product searchers (for example, users who viewed any of your search-results pages)
  • Product viewers (for example, users who viewed any of your product lists, or who viewed specific product-detail pages)
  • Conversion abandoners (for example, users who viewed their shopping carts, but didn’t view the purchase-confirmation page)
  • Past converters (users who have viewed the purchase-confirmation page)

 

Filed Under: Google Analytics Individual Qualification Exam Answers

Which view filter(s) would you apply if you wanted to include only users from Brazil or Argentina?

August 31, 2017 By CertificationAnswers

 

Which view filter(s) would you apply if you wanted to include only users from Brazil or Argentina?

 

Filter 1: exclude Peru or Bolivia

Filter 1: include Brazil or Argentina

Filter 1: include Brazil > Filter 2: include Argentina

Filter 1: include Argentina > Filter 2: include Brazil

 

 

Filed Under: Google Analytics Individual Qualification Exam Answers

What would you set up to collect how many comments users posted to a webpage on your site?

August 30, 2017 By CertificationAnswers

What would you set up to collect how many comments users posted to a webpage on your site?

 

Custom Metric

 

Custom Dimension

 

Custom Channel Groupings

 

Calculated Metric

 

 

Explanation:

custom metrics can produce more flexible and more readable custom reports and as such are a convenient way to track your most important metrics.
Read more here: https://support.google.com/analytics/answer/2709828?hl=en#example-metrics

 

Similar to custom dimensions, custom metrics can have different scopes. Hit-level custom metrics get associated with all the hit level dimensions with which it was sent. Similarly, product-level custom metrics are associated only with the product with which it was sent. The following examples illustrate these two types of custom metrics.

Hit-Scoped Custom Metric Example

In the examples above, the game developer has been tracking each play of a level as a screen view. In each of the reports generated, the screen view metric is used to represent a player’s attempt to complete a level.

However, the developer also wants to know the completion rate of each level.

To determine the rate of completion, the developer will use a new custom metric called Level Completions and compare it to screen views for each level.

 

https://www.youtube.com/watch?v=sfj81VmBJjw

 

Filed Under: Google Analytics Individual Qualification Exam Answers, Uncategorized @en

By default, which of these is NOT considered a “source” in Google Analytics?

August 30, 2017 By CertificationAnswers

By default, which of these is NOT considered a “source” in Google Analytics?

 

google

 

(direct)

 

email

 

googlemerchandisestore.com

 

 

Explanation:

In Google Analytics, Email comes under “Medium”, is not considered a “source”.

 

https://www.youtube.com/watch?v=21IGQYNiN7g

 

Filed Under: Google Analytics Individual Qualification Exam Answers, Uncategorized @en

What is the set of rules that determines how sales and conversions get attributed based on touch-points in the conversion path?

August 30, 2017 By CertificationAnswers

What is the set of rules that determines how sales and conversions get attributed based on touch-points in the conversion path?

 

Channel Groupings

Conversion tracking

Multi-Channel Funnels

Attribution modeling

 

Explanation:

An attribution model is the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths.
Read more here: https://support.google.com/analytics/answer/1662518?hl=en

 

An attribution model is the rule, or set of rules, that determines how credit for sales and conversions is assigned to touchpoints in conversion paths. For example, the Last Interaction model in Analytics assigns 100% credit to the final touchpoints (i.e., clicks) that immediately precede sales or conversions. In contrast, the First Interaction model assigns 100% credit to touchpoints that initiate conversion paths.

You can use the Model Comparison Tool to compare how different attribution models impact the valuation of your marketing channels. In the tool, the calculated Conversion Value (and the number of conversions) for each of your marketing channels will vary according to the attribution model used. A channel that predominantly initiates conversion paths will have a higher Conversion Value according to the First Interaction attribution model than it would according to the Last Interaction attribution model.

Attribution modeling example

A customer finds your site by clicking one of your AdWords ads. She returns one week later by clicking over from a social network. That same day, she comes back a third time via one of your email campaigns, and a few hours later, she returns again directly and makes a purchase.

Last Interaction model icon In the Last Interaction attribution model, the last touchpoint—in this case, the Direct channel—would receive 100% of the credit for the sale.
Icon for Last Non-Direct and last AdWords Click In the Last Non-Direct Click attribution model, all direct traffic is ignored, and 100% of the credit for the sale goes to the last channel that the customer clicked through from before converting—in this case, the Email channel.
Icon for Last Non-Direct and last AdWords Click In the Last AdWords Click attribution model, the last AdWords click—in this case, the first and only click to the Paid Search channel —would receive 100% of the credit for the sale.
First Interaction model icon In the First Interaction attribution model, the first touchpoint—in this case, the Paid Search channel—would receive 100% of the credit for the sale.
Linear model icon In the Linear attribution model, each touchpoint in the conversion path—in this case the Paid Search, Social Network, Email, and Direct channels—would share equal credit (25% each) for the sale.
Time Decay model icon In the Time Decay attribution model, the touchpoints closest in time to the sale or conversion get most of the credit. In this particular sale, the Direct and Email channels would receive the most credit because the customer interacted with them within a few hours of conversion. The Social Network channel would receive less credit than either the Direct or Email channels. Since the Paid Search interaction occurred one week earlier, this channel would receive significantly less credit.
Position-based model icon In the Position Based attribution model, 40% credit is assigned to each the first and last interaction, and the remaining 20% credit is distributed evenly to the middle interactions. In this example, the Paid Search and Directchannels would each receive 40% credit, while the Social Network and Email channels would each receive 10% credit.

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

Filed Under: Google Analytics Individual Qualification Exam Answers

Which kinds of hits does Google Analytics track?

August 30, 2017 By CertificationAnswers

Which kinds of hits does Google Analytics track?

 

  • Ecommerce-tracking hit
  • Page-tracking hit
  • Event-tracking hit
  • All of the above

 

Explanation:

An interaction that results in data being sent to Analytics. Common hit types include page tracking hits, event tracking hits, and ecommerce hits.
Each time the tracking code is triggered by a user’s behavior (for example, user loads a page on a website or a screen in a mobile app), Analytics records that activity. Each interaction is packaged into a hit and sent to Google’s servers.
Read more here: https://support.google.com/analytics/answer/6086082

 

An interaction that results in data being sent to Analytics. Common hit types include page tracking hits, event tracking hits, and ecommerce hits.

Each time the tracking code is triggered by a user’s behavior (for example, user loads a page on a website or a screen in a mobile app), Analytics records that activity. Each interaction is packaged into a hit and sent to Google’s servers. Examples of hit types include:

  • page tracking hits
  • event tracking hits
  • ecommerce tracking hits
  • social interaction hits

 

Filed Under: Google Analytics Individual Qualification Exam Answers

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