What are two ways that a marketer can provide good data to a Google App campaign, powered by machine learning? (Choose two)

Ensuring events are measured accurately is crucial because machine learning models rely on high-quality data to optimize campaigns effectively. Inaccurate data leads to flawed insights and poor campaign performance. Selecting events done by more than 5% but fewer than 50% of users provides a good balance. Events that occur too frequently (e.g., 95% of users) might not be specific enough to drive meaningful optimization, as they don't differentiate user behavior significantly. Conversely, events that occur too rarely (e.g., less than 5%) might not provide enough data for the machine learning model to learn and optimize effectively. Choosing your most valuable events is important, but if they occur too infrequently, the machine learning system won't have enough data to learn from them.