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3 Reasons To Use Data Analytics To Pursue SEO Long Tail Keywords

When we do search engine optimisation (SEO), using keywords seems to be inevitable. It is basically the basis of every other thing that we do. Thus, this is why we conduct extensive keyword research before deciding ones to focus on. However, this wouldn’t be possible without the best data analytics tools at our disposal.

Data analytics can be extremely useful for finding long-tail keywords for search engine marketing. Whether you intend to use data analytics for paid or organic search marketing, data analytics can help you find keywords that have the least competition and highest conversion rates.

Normally, the keywords that we target are those with the highest search volume. However, it is wrong to assume that long-tail keywords (several words strung together into a search bar) are worthless. In this article, we give three reasons pursuing such keywords is also worth your while. We can also talk about the benefits of using data analytics tools to find the best long-tail keywords.

People searching for long-tail keywords have a higher chance of conversion

Despite data being essential to marketers, we also have to realise that there are human factors behind those numbers. In the case of long-tail keywords, past studies of online behaviour show that those who search for more specific terms are more ready to take action. Hence, making them better targets for your email marketing campaigns. You might just realise that these people have a higher chance of converting than those searching for generic terms.

Long-tail keywords faces less competition

Long-tail keywords have significantly less search volumes because they are “too” specific. However, you don’t want to cast them out just yet! Instead, since most businesses do not optimise for long-tail keywords, there are less websites you are competing for ranking. This is good news for marketers, especially those with more limited budgets. You can leverage your long-tail keyword strategy even more by using data analytics tools to assess competition. However, data-driven keyword research tools should be used to make sure that there is at least some levels of search volume to begin with. You don’t want to be putting your efforts on a keyword which has no one searching for it!

Looking at this from another perspective – Although long-tail keywords are specific, they are still relevant to the more generic keywords that have a much greater search volume. With this in mind, having a good SEO rank with long-tail keywords can improve your ranking for the relevant generic keyword.

Easier to focus on content.

Although generic keywords are popular, their focus seems to be all over the place. What you do realise is that you tend to come up with articles or other content that are so long that no one will even want to skim them! This is going to be very wasteful of your time and page space. Therefore, the more specific your keywords are, the more able you will be to package content that really captures what your audience wants.

In summary, although long-tail keywords are not popular, they are used by people who are more likely to take action. Hence, targeting them in your content for SEO isn’t such a bad idea after all. Plus, there’s not much competition with long-tails so ranking will be easy.

The post 3 Reasons To Use Data Analytics To Pursue SEO Long Tail Keywords appeared first on Hackwagon Academy.

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