How to mine long-tail keywords

How to mine long-tail keywords: First, we can use keyword research tools to view long-tail data to mine long-tail keywords; then we can also identify long-tail patterns to see if there are general patterns. This way you can also mine long-tail keywords.

You can get keywords in the following ways:

1. From the related ones of Technorati and Delicious Perform text mining in the results.

2. Use files purely from certain search results (local, academic) to make keyword mining more focused.

3. To dig through relevant forum posts, you can use the inurl:forum command to find the keywords that appear in these posts.

The following two methods are used to mine long-tail words:

Method 1. Mining keyword research tools

While there are obvious limitations to viewing long-tail data through keyword research tools, there are ways to do it.

For example, if you own a pizza chain in 50 cities and you want to discover long-tail words, you can certainly do that. Let’s take a look at the tail data of the keyword suggestions we got when searching for Orlando Pizza, San Diego Pizza, and San Jose Pizza in Wordtracker.

“pizza san diego delivery” is an example of an effective long-tail word.

If someone searches for “pizza san diego delivery,” it’s likely that someone else will search for “pizza san diegodelivery,” a term that has low search volume due to the limitations of keyword research tools. does not appear in the data. When we enter multiple search terms into the keyword tool, we actually enable the tool to have more data to use.

The approach taken from this is effective: Apply these long-tail extensions to all city names. Although the keyword tool only shows one, you may attract searches from these keywords flow.

Method 2. Identify long-tail patterns

You can also use another method to determine long-tail information. Suppose we take digital camera as an example. The following are 40 search terms for digital cameras of two different brands and models that have been searched only once, obtained from the KeywordDiscovery database.

Our goal is to determine if there are common patterns when users search. In this search subset, several patterns emerged:

1. 48% started with the brand name and ended with a digital camera.

2. 35% is in this order: brand, model name, model number, pixels, digital camera.

3. 22.5% is in this order: brand, pixels, model name, digital camera.

4. 60% follow this pattern: brand, model name, digital camera.

You may have also noticed that, at least in this example, qualifiers like new (new), specific store names, and customer reviews usually appear at the top of the search phrase.

Qualifiers related to functions and products, such as memory, focal length, warranty, bracket, product information, and even repeated use of pixels or model numbers, are usually added at the end of the search phrase.

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