CertificationAnswers

Campaign reporting provides many metrics to assess if a campaign is performing to expectations. If an objective is getting as many new users as possible at a certain cost, what two metrics might be most important to review? (Choose two.)

Select All Correct Responses

• Average cost per in-app action.
• Number of installs.
• Number of best assets.
• Average cost per install.

 

Explanation:

When assessing the performance of a campaign aimed at acquiring new users at a certain cost, two crucial metrics to review are the ‘Number of installs’ and the ‘Average cost per install’. The ‘Number of installs’ directly measures the success of the campaign in attracting new users to the app, providing a clear indication of its effectiveness in achieving the desired objective. Meanwhile, the ‘Average cost per install’ metric reveals the efficiency of the campaign in terms of cost-effectiveness, showing how much the advertiser is paying on average for each new user acquired. By analyzing these two metrics together, advertisers can gauge the overall performance of their campaign, ensuring that they are acquiring new users at a reasonable cost and optimizing their budget allocation to maximize the number of installations within their specified budget constraints.

 

How does machine learning in Google App campaigns benefit both marketers and users?

 

• By delivering a different ad to every user.
• By delivering relevant ads to users only on YouTube.
• By delivering ads to as many users as possible in one location.
• By delivering a relevant ad to the right user at the right time.

 

Tom hasn’t yet released his app and he’s interested in the typical lifecycle of an app. Help him place these app lifecycle phases in the order they occur.

 

1. Launch
2. Grow
3. Maturity
4. Engagement

 

What are the four types of ad assets available in Google App campaigns?

 

• Text, Video, HTML5, Audio
• HTML4, Image, Video, Text
• HTML5, Image, Video, Text
• Image, Text, Audio, Video

 

Canadian company Fresco Arts is planning to expand to three additional international markets within the year.  Which three benefits might be likely outcomes of this plan? (Choose three.)

Select All Correct Responses

• Additional sales
• Decreased costs
• Increased profits
• Wider customer base
• Increased customer lifetime value

 

Explanation:

The correct answers are Wider customer base, Increased profits, and Additional sales. Expanding into international markets can bring several benefits to a company like Fresco Arts. Firstly, entering new markets allows the company to tap into a wider customer base, exposing its products or services to a larger audience and potentially increasing brand awareness. With a broader reach, Fresco Arts can attract more customers, leading to increased sales and profits. Additionally, by diversifying its geographical presence, the company can mitigate risks associated with relying too heavily on a single market, thus strengthening its overall business resilience. Moreover, expanding into international markets may provide opportunities for Fresco Arts to capitalize on unique consumer preferences or market demands, further driving sales growth and enhancing its competitiveness in the global marketplace. Therefore, by strategically expanding into additional international markets, Fresco Arts can unlock new growth opportunities and bolster its position in the industry.

 

How do Google App campaigns help reduce the manual test-and-iterate efforts of advertisers?

• The system automatically tests different ads to determine what works best.
• The system can immediately identify the best ad assets submitted by a marketer.
• The system automatically creates ads, with zero human input required.
• The system suggests proven data based on similar businesses from the same industry.

 

Explanation:

Google App campaigns help reduce the manual test-and-iterate efforts of advertisers primarily by **automatically testing different ads to determine what works best**. Instead of advertisers manually creating and testing multiple ad variations to identify the most effective ones, Google’s machine learning algorithms autonomously analyze various combinations of ad assets such as text, images, and videos to determine the optimal mix that resonates with the target audience. By continuously monitoring user interactions and performance metrics across different ad variations, the system identifies patterns and insights to refine and optimize the campaign in real-time. This automation streamlines the testing process, saving advertisers time and resources while ensuring that their ads are continuously optimized for maximum effectiveness. Consequently, advertisers can focus on overarching campaign strategy and objectives, confident that the Google App campaign is dynamically adjusting and improving ad performance without the need for manual intervention.