Smart bidding uses machine learning to optimize bids, but it needs data before it can make good decisions. Google usually says the learning period lasts about one to two weeks, or until the campaign gets around 50 conversions. During this time, performance can look unstable, which is normal. Making big changes like adjusting budgets, switching strategies, or editing ads during this phase resets the learning and makes it take longer. The advice most marketers follow is to let the campaign run without interference until the learning phase ends. So what do you think is the biggest mistake people make during a smart bidding learning period?