Though there are various ways of classifying the categories of user intent, overall, they tend to follow the same clusters. Until 2017, there were
three broad categories: informational, transactional, and navigational. However, after the rise of
mobile search, other categories have appeared or have segmented into more specific categorisation. For example, as mobile users may want to find directions or information about a specific physical location, some marketers have proposed categories such as "local intent," as in searches like "XY near me." Additionally, there is commercial search intent, which is when someone searches for a product or service to know more about it or compare other alternatives before finalizing their purchase. Some notable types with examples below include:
Informational Intent: Donald Trump, Who is Maradona?, How to lose weight?
Navigational Intent: Facebook login, Wikipedia contribution page
Transactional Intent: Latest iPhone,
Amazon coupons, cheap dell laptop, fence installers
Commercial Intent: top headphones, best marketing agency, x protein powder review,
Local Search Intent: restaurants near me, nearest gas station, Many search queries also have mixed search intent. For example, when someone searches "Best iPhone repair shop near me" is transactional and local search intent. Mixed search intent can easily happen with
homonyms and such
SERPs tend to be volatile because user signals differ. User intent is often misinterpreted, and thinking that there are just a few user intent types is not giving the complete picture of the user behavior. It is also a term to describe what type of activity, business or services users are searching for (not only the user behavior after the search). Example: when you write 'Spanish games' in the search engine (your browser settings in English) you have results for learning Spanish methods, not a real games with Spanish origin. In this example, the user intent is to learn Spanish language, not to play typical games. This intent is reflected by Google and the other search engines, and they strive to display their SERP results based on the user interest. ==See also==