A digital marketing manager has upgraded their keywords to broad match.Which behavior should they build into the irregular cadence of optimization to guide machine learning?

The correct answer is to remove negative keywords that may block relevant traffic.Broad match keywords are designed to reach a wider audience by matching ads with a variety of search terms related to the specified keyword.However, without proper optimization,they can also attract irrelevant traffic,leading to wasted ad spend and lower ROI.By regularly reviewing and refining the list of negative keywords,the digital marketing manager ensures that the broad match keywords are effectively targeting the intended audience while filtering out irrelevant searches.This proactive approach not only improves the quality of traffic but also provides valuable feedback to the machine learning algorithms,guiding them to better understand and optimize ad performance overtime.Removing negative keywords that may block relevant traffic is therefore a crucial part of the optimization process when using broad match keywords,allowing marketers to leverage the full potential of their campaigns and achieve better results.