Voice queries in Voice Search

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Let's first analyze voice searches to understand how people are using voice search right now.When we enter data into a keyboard via a smartphone or computer, the tendency is to be brief and analytical . Our head tries to highlight the characteristics of the research, with patterns like this:what + how + where + whenThe more complex the query , the more it is called a long-tail query . In general the tendency is to avoid stopwords , i.e. articles, conjunctions, etc. The queries you type tend to be succinct and dry.



In contrast, when we perform a voice search, the tendency is Special Data to use conversational queries . Of the same type, it is the same interaction with devices and virtual assistants: Hello, how can I help you?In summary, if you search for a restaurant via keyboard you would generally look for something like “Pizzeria in Bologna” . If you use Siri instead, the query could be like: "Siri, can/can you tell me about an open pizzeria near here?"From an analysis by MOZ, Purna Virji , highlighted that voice searches tend to be longer and more complex.Differences between Textual Queries and Voice QueriesText queries vs voice queries: here are the differencesFurthermore, voice search queries are longer than their text counterparts: they tend to be three to five words long and explicitly ask a question , characterized by the use of pronouns and adverbs such as who, how, what, where, why.





The Type of Questions (Who, How, When, Which, Where) and presence of Rich Snippets in Serp The type of questions in relation to the presence of Rich Snippets in SerpAnother interesting consideration is the positioning in the conversion funnel depending on the wording of the question . In fact, we can understand that the questions " What" and "Who" indicate that a user is in the research phase . If they are asking “ Where ” questions, they are closer to purchasing instead .