Your manager is questioning the need for you to spend time on your new Google App campaign, since 'machine learning is doing everything'. What are three things that you can tell your manager that you're doing to guide the campaign? Select the best answers.

Analysis of Correct Answer(s)

While Google App campaigns heavily rely on machine learning, a marketer's strategic input is essential for success. The algorithm requires human guidance to function effectively.

• Create helpful boundaries for the system to work within...: You set the foundational rules. The machine learning model optimizes within the budget and bid strategy (like Target CPA or Target ROAS) you provide. Setting thoughtful, realistic boundaries is a critical strategic task that guides the automation toward your specific business goals.

• Provide the system with ample, meaningful data...: Machine learning is only as good as the data it receives. Your role is to supply high-quality inputs, such as diverse creative assets (text, images, videos) and accurate conversion data from key in-app events. You must also allow the system sufficient time—the learning period—to process this data without premature adjustments.

• Keep an eye on strategy and objectives...: The machine optimizes for the goal you set, but it doesn't know if your business objectives have changed. You are responsible for monitoring high-level performance, aligning the campaign with evolving business strategy, and making strategic adjustments to targeting, creative direction, or optimization goals over time.

Analysis of Incorrect Options

• Make adjustments to the campaign in reaction to hourly fluctuations in performance: This is a counterproductive practice. Performance naturally fluctuates in the short term. Making frequent, reactive changes based on hourly data disrupts the machine learning process. The system needs stable conditions and a significant amount of data over several days to learn and optimize effectively. Patience is key to allowing the automation to work.