CertificationAnswers

Betty’s manager is wondering why she needs to spend time on her new Google App campaign, since machine learning helps to automate a significant amount of the campaign.

What are three things Betty can do to guide the campaign? (Choose three.)

 

Select All Correct Responses

• Make adjustments to the campaign in reaction to hourly fluctuations in performance.
• Create helpful boundaries for the system to work within, by setting a thoughtful bid and budget.
• Build a library of different ad assets, with the intention swapping them entirely on a weekly basis.
• Provide the system with ample, meaningful data and the time to process it.
• Keep an eye on strategy and objectives, evolving them over time as needed.

 

Sandra’s creating a long-term plan for her app. She wants to make sure her objectives evolve along with the growth of the app itself. Help Sandra place the following marketing objectives in the order they typically occur.

 

1. Increasing user volume
2. Driving specific in-app actions
3. Handling churn management

 

Which statement summarizes a Google App campaign?

• A manual ad type in Google Ads that lets advertisers display banners exclusively on Google Play.
• An automated ad type in Google Ads designed to help advertisers drive app installs and in-app conversions.
• A Google tool that automatically creates an app based on an advertiser’s website and supplied content.
• A platform in Google Ads that lets advertisers promote their products and services exclusively on apps they don’t own.

 

Explanation:

The correct statement summarizing a Google App campaign is: ‘An automated ad type in Google Ads designed to help advertisers drive app installs and in-app conversions.’ This option accurately describes the essence of a Google App campaign, highlighting its automation, purpose, and objectives. Google App campaigns are specifically tailored to assist advertisers in boosting the installation of their mobile applications and encouraging in-app actions or conversions. Through machine learning algorithms, these campaigns automate the process of ad creation, targeting, and bidding to reach potential users across various Google platforms such as Search, Display, YouTube, and the Google Play Store. By selecting this option, advertisers can effectively leverage Google’s vast network to reach their target audience, increase app installs, and drive valuable in-app actions, thereby maximizing the return on their advertising investment. Therefore, this statement succinctly captures the core features and objectives of a Google App campaign, making it the correct summary of this advertising format.

 

Hiroko’s manager asks why Hiroko spends time working on her new Google App campaign. The manager believes machine learning is doing everything.

What are three ways in which Hiroko can help guide the machine learning powered campaign?

Select All Correct Responses

• Update campaign settings daily.
• Adjust bids regularly.
• Set boundaries.
• Provide a lot of good data.
• Evolve the strategy.

 

Explanation:

Hiroko can play a crucial role in guiding her new Google App campaign, despite machine learning automating many aspects of it, in three key ways. Firstly, she should **provide a lot of good data**. Machine learning relies on data to make informed decisions and optimize campaign performance, so providing ample, meaningful data enables the algorithms to learn and improve over time. Secondly, Hiroko should **set boundaries**. By defining clear constraints and parameters within which the machine learning algorithms operate, such as setting a thoughtful bid and budget, Hiroko can ensure that the campaign stays aligned with business objectives and avoids unnecessary spending or inefficient resource allocation. Finally, Hiroko should **evolve the strategy**. Markets, consumer behavior, and competitive landscapes are constantly changing, so Hiroko should monitor campaign performance closely, analyze data insights, and adapt the campaign strategy as needed to capitalize on emerging opportunities and address evolving challenges effectively. By actively engaging with these three guiding principles, Hiroko can effectively steer her machine-learning-powered campaign towards success and achieve desired outcomes efficiently within the dynamic digital advertising landscape.

 

Henry’s been running a Google App campaign for a number of days, and he noticed it’s still in a learning phase. What can contribute to an App campaign remaining in the learning phase for an extended time?

• Only providing text assets
• A low budget
• The campaign name
• Language setting

 

Explanation:

Henry may find his Google App campaign remaining in the learning phase for an extended time due to **a low budget**. The learning phase occurs when Google’s machine learning algorithms are still gathering data and optimizing ad delivery to achieve the campaign’s objectives efficiently. During this phase, the algorithm experiments with different targeting, bidding, and ad placements to learn which combinations are most effective in driving the desired outcomes, such as app installs or conversions. If the campaign has a low budget, it may limit the frequency and volume of ad impressions, interactions, and conversions, thus prolonging the learning phase. A low budget restricts the campaign’s ability to reach a sufficient number of users and generate enough data for the algorithm to make informed optimization decisions. Therefore, increasing the campaign budget can help expedite the learning process by providing more opportunities for the algorithm to gather data and refine its strategies, ultimately leading to improved campaign performance and faster achievement of campaign objectives. The other options, such as the campaign name, providing only text assets, or language settings, are less likely to significantly impact the duration of the learning phase compared to budget constraints.

 

For a Google App campaign optimizing to a tCPI of $2, what would be the recommended minimum budget?

• 500
• 20
• 100
• 10

 

Explanation:

The correct answer is 100. In a Google App campaign optimizing to a target cost per install (tCPI) of $2, the recommended minimum budget would be 100. This recommendation is based on the principle that the budget should be sufficient to cover the cost of acquiring at least one install at the specified target cost per install. With a target cost per install of $2, allocating a budget of 100 would ensure that there are enough funds available to acquire 50 installs ($2 * 50 = $100). Having a budget lower than this amount could limit the campaign’s ability to reach its optimization goal effectively, as it may not have enough resources to acquire the desired number of installs at the specified cost. Therefore, setting a minimum budget of 100 aligns with the campaign’s optimization objective and ensures adequate financial support to achieve the desired results within the defined cost parameters.