Janelle is 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 towards a successful outcome? (Choose three)
- Janelle can adjust bids daily to ensure that the campaign stays on target.
- Janelle can set bids and budgets strategically.
- Janelle can provide the system with abundant data and time.
- Janelle can evolve campaign strategy over time.
- Janelle can set location targeting at the ad group level.
Explanation:
Janelle plays a critical role in guiding the machine-learning-powered Google App campaign towards success by implementing strategic inputs. Firstly, she can strategically set bids and budgets, ensuring that resources are allocated efficiently to achieve campaign objectives. By adjusting these parameters based on performance and goals, she optimizes the campaign’s effectiveness within predefined constraints. Secondly, Janelle can provide the system with abundant data and time to process it. High-quality data allows the machine learning algorithm to make informed decisions and refine targeting, messaging, and bidding strategies over time, ultimately improving campaign performance. Lastly, Janelle can evolve the campaign strategy over time by keeping a close eye on performance metrics, market trends, and user behavior. Adapting the strategy ensures that the campaign remains aligned with changing business goals and market dynamics, maximizing its impact and long-term success. These three actions empower Janelle to leverage machine learning effectively while still exerting strategic control over the campaign’s trajectory, optimizing outcomes and driving results for her marketing objectives.