Many voice searches take place at home, additionally in the car or on the go, resulting in a more connected world. These intelligent agents use semantics, search history, and user interests and behaviors to deliver the best results. So make sure the content matches the intent and interests of the customers at the right point in the decision-making process. Be the best answer. Forrester analyst Collin Colburn shares some interesting insights on this topic in this Forrester blog. 5. From data to machine learning Google relies in

part on machine learning, in the form of RankBrain, to make sense of massive amounts of data and deliver the best possible search results to users. As marketers, we also need to turn to machine learning to understand the intent, interests, and behavior of our jewelry retouching service audience so we can deliver and personalize the content they want. How marketers can master this change: See data as a source of truth. Martech stacks are built around data and performance integrations because we simply have too much data and not enough

analysts or hours in the day to make sense of it all. To capitalize on demand, spot trends, and stay ahead of the competition, marketers must go beyond the “what” of data to understand the “when” and “why” of data. to analyse. Use AI and machine learning. Machine learning helps marketers spend less time analyzing data and more time creating content that will engage and influence prospects and customers. Let artificial intelligence and machine learning deliver actionable insights into your audience and content performance.