Classification of long-tail keywords
The classification of long tail keywords can be divided into two categories Informative Long-Tail Keywords and Transactional Long-Tail Keywords. Both types play a crucial role in content strategy and search engine optimization. These types serve different purposes and have distinct user intents:
1. Informative Long-Tail Keywords
When consumers are looking for information, responses, or solutions to a particular issue or concern, informative long tail keywords are employed. When consumers are doing preliminary research on a subject, these keywords are frequently employed.
Examples: “How to grow tomatoes in a small apartment,” “Symptoms of gluten intolerance,” and “History of the Eiffel Tower.”
Content Strategy: The three main goals of content that are optimized for informative long-tail keywords are to answer the user’s query, establish authority, and provide useful and thorough information. Users are frequently attracted to and educated by this kind of content.
Informative long keyword
2. Transactional Long-Tail Keywords
When consumers are prepared to take action, such as completing a purchase, signing up for a service, or getting a quote, transactional long tail keywords are used. When people are getting near to deciding the later stages of the buyer’s journey, these keywords are frequently employed.
Example: “Buy women’s running shoes online,” “Get a free insurance quote,” “Best price on iPhone 13 Pro Max.”
Content Strategy: The goal of content that is optimized for transactional long tail keywords should be to make the user’s activity easier. This can include pricing details, service descriptions, product pages, and calls to action to entice customers to make a purchase. The converting process must be simple and uncomplicated.
Transactional keyword
Long Tail Keywords in SEO
Long tail keywords are specific and highly targeted search phrases consisting of three or more words that users enter into search engines. These keywords are characterized by their detailed and niche nature, addressing more specific queries or topics. The term “long-tail” is derived from the shape of a distribution graph, where the majority of search traffic is concentrated in a small number of popular, generic terms (the “head” of the graph), while a larger number of less-searched, specific terms form a longer “tail.”