阿珍手上有個正在放送的 Google 應用程式廣告活動，她知道即使採用了機器學習技術，自己仍必須貢獻行銷專長。阿珍能在哪三個方面為機器提供指引，藉此發揮最大成效，取得豐碩成果？(請選擇三項)

The correct answers reflect best practices for optimizing Google App campaigns, which leverage machine learning. Providing sufficient data and time (at least 7 days) allows the system to learn and optimize effectively. Strategically setting bids and budgets guides the machine learning towards desired outcomes and ensures efficient spending. Improving campaign strategy over time, based on performance insights, is crucial for long-term success, as machine learning optimizes within the parameters you set. Daily bid adjustments are generally not recommended for App campaigns, as the automated bidding handles this, and frequent manual changes can disrupt the learning process. Setting location targeting at the ad group level is not a primary way to guide machine learning for overall campaign performance in App campaigns, which are designed for broad reach and optimization.