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Janelle’s running a Google App campaign and knows that although it’s powered by machine learning, her inputs as a marketer still matter a lot. In which three ways can Janelle best guide the machine toward a successful outcome? (Choose three.)

 

Select All Correct Responses

• Janelle can set location targeting at the ad group level.
• Janelle can provide the system with abundant data and time.
• Janelle can adjust bids daily to ensure the campaign stays on target.
• Janelle can evolve campaign strategy over time.
• Janelle can set bids and budgets strategically.

 

Robert’s about to start creating an HTML5 asset for his Google App campaign.

According to HTML5 asset best practices, what should be included before the HTML5 ad plays?

• A simplistic graphic of the app’s title, to help spark curiosity in potential users.
• A list of bullet points highlighting the app’s key features.
• An introduction screen, with clear instructions on how to engage with the ad.
• A brief video clip showing a series of screenshots of what to expect from the app.

 

Explanation:

To enhance user engagement with an HTML5 ad, it’s essential to guide them right from the start. Introducing an initial screen with explicit directives, like “Tap here to play” or “Swipe to see more,” clarifies how users should interact with the content. This guidance ensures users have a seamless experience. However, advertisers needn’t worry about including a close button, as one is automatically generated. Notably, when using Google Web Designer, the Exit API can’t be utilized.

 

What are two ways marketers can benefit from machine learning in Google Ads? (Choose two.)

Select All Correct Responses

• Machine learning evolves campaign goals automatically, without input.
• Machine learning produces results that align with defined campaign goals.
• Machine learning saves time by analyzing hundreds of signals automatically.
• Machine learning sets campaign bids and budgets automatically.

 

Explanation:

Marketers can benefit from machine learning in Google Ads in two primary ways: firstly, machine learning produces results that align with defined campaign goals, and secondly, machine learning saves time by analyzing hundreds of signals automatically. The first option is correct because machine learning algorithms in Google Ads are designed to optimize campaign performance based on predefined objectives such as maximizing conversions, increasing website traffic, or improving return on ad spend. By continuously analyzing data and adjusting campaign parameters, machine learning ensures that ad campaigns are tailored to meet specific goals, leading to more efficient and effective outcomes. The second option is also correct because machine learning automates the process of analyzing vast amounts of data and identifying patterns or trends that would be impractical or impossible for human marketers to analyze manually. By automating tasks such as audience segmentation, keyword selection, and bidding optimization, machine learning frees up marketers’ time to focus on strategic decision-making and creative tasks, ultimately improving campaign performance and driving better results. Therefore, these two options highlight the tangible benefits that marketers can derive from leveraging machine learning capabilities within Google Ads to optimize campaign performance and streamline workflow processes.

 

What important role does app promotion play in the mobile gaming industry?

• App promotion alerts gamers of the latest industry news and information.
• App promotion encourages gamers to use hardware to improve their gameplay.
• App promotion helps users discover new games to download.
• App promotion helps convert mobile gamers into console and PC gamers.

 

Explanation:

App promotion plays a crucial role in the mobile gaming industry primarily by helping users discover new games to download. With the vast number of mobile games available across app stores, effective promotion ensures that developers can showcase their games to potential players, increasing visibility and driving downloads. This aspect is particularly significant in an industry characterized by fierce competition and constantly evolving player preferences. App promotion utilizes various marketing channels and strategies to reach target audiences, including social media advertising, influencer partnerships, and app store optimization. By leveraging these promotional efforts, developers can attract the attention of gamers, generate interest in their games, and ultimately drive installations. As a result, app promotion serves as a vital mechanism for fostering growth, expanding user bases, and driving revenue within the mobile gaming ecosystem.

 

Clara’s colleague recommended she use a built-in tool called Bid Guidance for her existing Google App campaign. What information can Clara expect to see when using Bid Guidance?

• An estimate of the number of installs or in-app actions she can drive with her bidding strategy.
• An estimate of the total number of impressions the app will receive across Google’s inventory.
• A recommendation of the bid she should set to compete against similar businesses.
• A recommendation of bid adjustments, based on different times of the day and week.

 

Explanation:

The correct answer is **An estimate of the number of installs or in-app actions that she can drive with her bidding strategy**. When Clara utilizes Bid Guidance for her existing Google App campaign, she can expect to receive insights into the potential outcomes of her bidding strategy in terms of driving installs or in-app actions. Bid Guidance utilizes historical campaign data, performance trends, and machine learning algorithms to provide estimates of the impact that different bid adjustments or bidding strategies may have on campaign objectives such as app installs or in-app actions. By analyzing these estimates, Clara can make informed decisions about her bidding strategy, adjusting bids accordingly to optimize campaign performance and achieve her desired outcomes more effectively. This feature empowers advertisers like Clara to fine-tune their bidding strategies based on data-driven insights and maximize the effectiveness of their Google App campaigns in driving valuable user actions within their mobile apps. Therefore, Bid Guidance serves as a valuable tool for Clara to optimize her bidding strategy and enhance the overall performance and success of her Google App campaign.

 

Harry’s about to launch a new app and wants to attract new users with the help of a Google App campaign. Which campaign subtype should Harry select when setting up this new campaign?

• App engagement
• App installs
• App notifications
• App interactions

 

Explanation:

When setting up a new Google App campaign to attract new users for his app, Harry should select the campaign subtype **’App installs.’** This choice aligns with Harry’s goal of acquiring new users for his app, as the ‘App installs’ campaign subtype is specifically designed to optimize ad delivery to encourage users to install the advertised app. By selecting this subtype, Harry can leverage Google’s machine learning algorithms to target users who are most likely to download and install his app, maximizing the campaign’s effectiveness in driving app installs. Additionally, the ‘App installs’ campaign subtype offers various optimization options, ad formats, and targeting features tailored to the specific goal of app installation, providing Harry with the necessary tools to reach and attract new users efficiently. Therefore, by choosing the ‘App installs’ campaign subtype, Harry can launch a focused and targeted campaign to achieve his objective of acquiring new users for his app through Google App campaigns.