How long does the learning phase for a new bid strategy typically last?

The learning phase for a new bid strategy typically lasts between one and two weeks depending on your conversion volume. During this initial period, the machine learning algorithm explores different bidding levels and audience segments to optimize performance. It is common to see fluctuations in click costs and daily spend as the system gathers necessary data. Small businesses should resist the urge to make any changes to the campaign during this critical window. Making adjustments to budgets, keywords, or ad copy will reset the learning phase and prolong the instability. Once the algorithm accumulates enough conversion data, the performance metrics will begin to stabilize. Planning for a full thirty-day experiment ensures that you look past this initial learning volatility to see the true long-term results. This patience is essential for obtaining accurate data that reflects the actual efficiency of the automated strategy.