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Shayley’s reading an article about hiking trails on her mobile phone and sees an ad for hiking boots from outdoor retailer OneStop. She has the OneStop app installed and clicks on the ad. OneStop has enabled deep linking.

What will happen next?

• Shayley will be taken to a Google search page with “hiking boots” pre-populated as her search term.
• Shayley will be taken to the hiking boots section of the OneStop website.
• Shayley will be taken directly to the hiking boots section of the OneStop app.
• Shayley will be taken to the app store listing, prompting her to download the OneStop app.

 

Explanation:

Since OneStop has enabled deep linking, when Shayley clicks on the ad for hiking boots while reading an article about hiking trails on her mobile phone, she will be “taken directly to the hiking boots section of the OneStop app“. Deep linking allows advertisers to link users directly to specific content within a mobile app rather than just opening the app’s home screen. Therefore, when Shayley clicks on the ad, deep linking ensures a seamless transition from the ad to the relevant section of the OneStop app, enhancing the user experience and increasing the likelihood of conversion. This direct linking mechanism eliminates unnecessary steps and friction in the user journey, enabling Shayley to quickly access the desired content—hiking boots—within the OneStop app, thereby facilitating a more efficient and effective interaction with the advertised product. Consequently, enabling deep linking enhances the effectiveness of advertising campaigns by improving user engagement, conversion rates, and overall app usability.

 

What’s the maximum number of localized store listing experiments that can be run at once in Google Play?

• 2
• 3
• 5
• 4

 

Explanation:

The correct answer is **5**. In Google Play, app developers and marketers can conduct store listing experiments to optimize their app’s store listing, including elements such as the app’s title, description, icon, and screenshots, to improve visibility and conversion rates. These experiments allow developers to test different variations of their store listing to determine which combination resonates best with users. While conducting these experiments, Google Play allows a maximum of five localized store listing experiments to be run simultaneously. This limitation ensures that developers can efficiently manage their experiments and focus on testing the most impactful variations across different regions and languages. By adhering to this maximum limit of five experiments, app developers can effectively leverage store listing experiments to optimize their app’s presentation on Google Play and drive better results in terms of visibility, downloads, and user engagement. Therefore, knowing and adhering to this maximum number of localized store listing experiments is crucial for app developers seeking to maximize the effectiveness of their optimization efforts on Google Play.

 

Gordon is running a Google App campaign for a news publisher and has recorded 200 unique subscriptions in the last 30 days. Is this enough conversion data for the machine to achieve optimal performance?

• Yes. The system needs a minimum of 30 unique conversion events across 30 days.
• Yes. The system needs a minimum of 10 unique conversion events across 30 days.
• No. The system needs a minimum of 300 unique conversion events across 30 days.
• No. The system needs a minimum of 3,000 unique conversion events across 30 days.

 

Explanation:

The correct answer is ‘No. The system needs a minimum of 300 unique conversion events over 30 days.’ This option correctly identifies the minimum threshold of conversion events required for the machine learning system to achieve optimal performance within a 30-day timeframe. With only 200 unique subscriptions recorded in the last 30 days, the conversion data falls short of the required threshold. Machine learning algorithms rely on sufficient data to effectively optimize campaign performance, identify patterns, and make informed decisions regarding targeting, bidding, and ad delivery. In the context of Google App campaigns, having a minimum of 300 unique conversion events over 30 days provides the algorithm with an adequate volume of data to learn and adapt to user behavior, thereby maximizing the campaign’s efficiency and effectiveness. Therefore, while 200 unique subscriptions may indicate some level of success, it is still insufficient for the machine learning system to achieve optimal performance within the specified timeframe.

 

In which two scenarios would it make sense for the advertiser to run a campaign focused on in-app actions? (Choose two.)

 

Select All Correct Responses

• A travel app looking to increase their user base by 50% in the next six months.
• A dating app earns $50 in revenue every time an app user upgrades to Premium level.
• A banking app knows those who use the app to deposit checks are more likely to remain loyal customers.
• An entertainment app provides unlimited video views to users.

 

What’s the advantage to identifying app users with high lifetime value in a Google App campaign?

• Proactively target an audience with most-engaging video assets.
• Send push notifications to high-value users, reminding them to use an app.
• Focus marketing strategies on similar users who bring long-term value to a business.
• Focus marketing efforts only on those users that are already engaging with an app regularly.

 

Explanation:

The correct answer is ‘Focus marketing strategies on similar users who bring long-term value to a business.’ Identifying app users with high lifetime value in a Google App campaign offers the advantage of allowing marketers to focus their marketing strategies on similar users who are likely to bring long-term value to the business. By analyzing the behavior and characteristics of high-value users, marketers can create targeted campaigns that resonate with this specific audience segment, thereby increasing the likelihood of attracting more users with similar traits. This approach helps optimize marketing efforts by directing resources towards acquiring users who are more likely to engage with the app over time, drive revenue, and contribute positively to the business’s growth and success. It aligns marketing efforts with the goal of maximizing the overall lifetime value of app users, ultimately leading to better return on investment and sustainable business growth.

 

What’s usually the last touchpoint at which you might influence a user’s decision to install your app?

• App campaign ad
• Offline marketing efforts
• App store listing
• Website where the app is featured

 

Explanation:

The **app store listing** is typically the last touchpoint at which you might influence a user’s decision to install your app. When users are considering downloading an app, they often visit its app store listing to gather more information before making a decision. The app store listing serves as a critical point of interaction between the user and the app, where users can learn about the app’s features, functionality, reviews, ratings, screenshots, and user testimonials. Marketers have the opportunity to optimize their app store listings by crafting compelling descriptions, using high-quality visuals, showcasing positive reviews, and highlighting unique selling points to capture users’ attention and persuade them to install the app. Therefore, ensuring that the app store listing is engaging, informative, and persuasive is crucial for influencing users’ decisions and driving app installs effectively.