Search Engine People Blog posted, “5 Types of Buying Signals Found in Keyword Queries & How They Accelerate SEO Results”
“Anyone who has previously worked in a sales capacity knows the meaning of “buying signals”. For those of you who aren’t familiar with the term, it means the little signals people give when they’re ready to make a purchase, and knowing so helps a good salesperson know when to go for the “Close”. An example would be a person looking at a car saying, “does it come in red”? This little question (and a buying signal) is a strong indication that if the car is in fact available in red, the individual would be very interested in purchasing it.
Buying signals help to identify the very serious from those who are more tire kickers, or at least are much earlier in the buying process. The reality is, the later in the buying process we can get our message in front of someone, the more likely they are to ultimately purchase from you. So imagine now that we use this “buying signal” logic to determine which keywords to write content.
A variety of methods based upon Artificial Intelligence (AI) and Natural Language Processing (NLP) have actually been applied to semantic processing, and most of them have actually relied on the use of auxiliary structures such as controlled vocabularies and ontologies.
Controlled vocabularies (dictionaries and thesauri), and ontologies permit wider terms, narrower terms, and related terms to be integrated into questions.
Controlled vocabularies are one method to overcome a few of the most severe restrictions of Boolean keyword questions. Over the years, extra auxiliary structures of basic interest, such as the large synonym sets of WordNet, have actually been constructed.
It was revealed that concept search that is based on auxiliary structures, such as WordNet, can be efficiently executed by recycling retrieval designs and data structures of timeless Information Retrieval.
Later on approaches have implemented grammars to broaden the variety of semantic constructs. The production of data designs that represent sets of ideas within a particular domain (domain ontologies), and which can integrate the relationships amongst terms, has actually also been implemented in recent years.
Internet Researchers can obtain internet data using search engines (keyword inquiries) or searching certain internet resources.
These approaches are not efficient. Keyword search offers a big portion of irrelevant data. Since each page consists of a number of outbound links it is difficult to extract information by browsing too.
Wordtracker is an online keyword generator that compares your keyword questions to a database of over 350 million searches drawn from Metacrawler and Dogpile. Their new Strategizer tool utilizes the incredible power of keyword niches to find your site’s best cash making keywords.
10 Types of Buying Signals Found in Keyword Queries & How They Accelerate SEO Results – searchenginepeople.com