Last Updated on 3 days by School4Seo Team
Set boundaries, Provide a lot of good data and Evolve the strategy are three ways in which Hiroko can help guide the machine learning powered campaign.
- Update campaign settings daily.
- Adjust bids regularly.
- Set boundaries.
- Provide a lot of good data.
- Evolve the strategy.
The correct answers are: Set boundaries, Provide a lot of good data and Evolve the strategy.
Explanation: Even with the power of machine learning, Hiroko’s human guidance is absolutely essential for a Google App campaign to truly succeed. Machine learning is a powerful engine, but it needs a skilled driver and high-quality fuel.
- Set boundaries: Hiroko defines the financial and performance guardrails by setting thoughtful bids and budgets. The machine operates within these limits, optimizing for the best results given these constraints. Without clear boundaries, the machine might spend too much or optimize for the wrong type of conversion.
- Provide a lot of good data: Machine learning thrives on data. Hiroko ensures the campaign has high-quality conversion tracking, sufficient conversion volume, and diverse creative assets (images, videos, text). This “good data” allows the machine to learn effectively about who to target and what ads resonate.
- Evolve the strategy: Business objectives are dynamic. Hiroko’s human insight allows her to adapt the campaign’s overall strategy over time, for example, shifting from focusing on new installs to optimizing for valuable in-app purchases as the app matures. The machine can optimize for a goal, but Hiroko sets and evolves that goal.
There are three major guideposts on your journey to App campaign excellence, the first of which is to set the right boundaries. The most straightforward way for a marketer to guide machine learning toward success is by setting an appropriate bid and budget.
Once you’ve set the bid and budget for your App campaign, make sure you give the machine learning system the two things it needs most, Data and time to learn from that data.
Machine learning automates many of the tasks involved in running an App campaign, but remember, you can’t just “set it and forget it.” The strategy behind your App campaigns will likely shift over time, and your job as a marketer is to set the boundaries accordingly.