That idea is exciting on its own (basing ad targeting on where a user is in a sequence of tasks that need to end in a conversion), but I'll ask you to stick with me here - though it's an interesting idea, we warm you up! Detailed description of the examples of realization Division 19 Although section 19 mostly repeats what we read in the technical area section, there is one thing that is very important to grasp. The patent relates to guided purchasing via a smartphone; however, there is no mention of organic. Section 19 makes it clear that the purpose of the guide is to drive ad opportunities, not natural search clicks. Chapter 31

Previously, we read that the user's intention to buy a product is determined from a series of actions he takes. In section 31, we see that these actions are not just related to queries in search, but could also include their interests on social media pages: In some embodiments jewelry retouching service of the present technology, a user's intent may be determined in other ways, for example…by the guided shopping server…prompting the user, through the user's smartphone… , after observing the user's interest in social media pages featuring a product

Presumably, this could also be applied to additional actions on smartphones, such as text messages; however, the text is not mentioned in section 31. Chapter 32 This section mentions the use of machine learning and gives a better idea of ​​how this system works. A system is developed by Google to analyze the sequence of tasks performed before purchasing a specific item across the population. This data is then used to develop an optimal order in which these tasks should be performed, and the user is then guided along this path. We'll see how it goes shortly.