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You’re an experienced Google Ads account manager, but you’re struggling with leaving the majority of campaign management to machine learning in Google App campaigns. What are two reasons for you to rely on machine learning instead of doing everything manually? (Choose two.)

• Machine learning instructs you on how to build the most effective creative so you can do it yourself.
• Machine learning can help marketers measure performance more effectively.
• Machine learning saves a significant amount of time and effort for other tasks.
• Machine learning only allows audience lists you upload so you can be sure your ads serve to the correct audience.

 

Explanation:

As an experienced Google Ads account manager, there are two compelling reasons for you to rely on machine learning instead of doing everything manually. Firstly, machine learning can help marketers measure performance more effectively. By analyzing vast amounts of data and identifying patterns and trends, machine learning algorithms can provide valuable insights into campaign performance, audience behavior, and ad effectiveness. This allows you to make data-driven decisions and optimize your campaigns for better results. Secondly, machine learning saves a significant amount of time and effort for other tasks. Instead of manually managing every aspect of your campaigns, machine learning automates processes such as bidding optimization, ad placement, and audience targeting, freeing up your time to focus on strategic planning, creative development, and other high-value tasks. By leveraging machine learning capabilities, you can streamline campaign management processes, improve efficiency, and ultimately achieve better outcomes with less manual effort. Therefore, relying on machine learning can enhance your effectiveness as a Google Ads account manager by providing valuable insights and saving time for more impactful activities.

 

You’re working with a creative agency to develop image assets for an app campaign, and the agency wants to know what aspect ratios are accepted. How do you respond?

• 1:1, 1.91:1 and 4:5
• 1:1 and 1.75:1 only
• 1:1 and 1.91:1 only
• 1:1, 1.75:1, and 4:5

 

Explanation:

The correct answer is 1:1, 1.91:1 and 4:5. Google App campaigns accept a variety of aspect ratios to accommodate different ad formats and placements across various devices and platforms. The 1:1 aspect ratio is commonly used for square images, which are versatile and can be displayed effectively on both desktop and mobile devices. The 1.91:1 aspect ratio, also known as the landscape aspect ratio, is suitable for widescreen images and videos, providing a cinematic viewing experience on platforms like YouTube and other video-centric placements. Additionally, the 4:5 aspect ratio is optimized for vertical images, which are prevalent on mobile devices and social media platforms like Instagram and Facebook. By supporting these aspect ratios, Google App campaigns ensure that advertisers have the flexibility to create visually appealing image assets that engage users across a wide range of digital touchpoints, maximizing the campaign’s reach and effectiveness.

 

Google is simplifying and unifying accepted image and file sizes across app campaign types, so familiarize yourself with the three supported aspect ratios.

ACi – 1:1 – Min dimension: 200 x 200

ACe – 1:91:1 – Min dimension: 600 x 314

ACpre – 4:5 – Min dimension: 320 x 400

The new image cropper tool will aid in ratio adoption.