{"id":20755,"date":"2020-01-30T15:27:56","date_gmt":"2020-01-30T15:27:56","guid":{"rendered":"https:\/\/www.arimetrics.com\/glosario-digital\/long-tail"},"modified":"2026-06-26T20:35:33","modified_gmt":"2026-06-26T20:35:33","slug":"long-tail","status":"publish","type":"encyclopedia","link":"https:\/\/www.arimetrics.com\/en\/digital-glossary\/long-tail","title":{"rendered":"Long Tail"},"content":{"rendered":"

\"longDefinition:<\/strong><\/p>\n

The Long Tail<\/strong> <\/em>or Long Tail is a concept that refers to a type of statistical distribution, <\/b>popularized by Chris Anderson in 2004, which is very applicable within the world of online positioning. In this type of distribution, the area covered by low-frequency events is much larger than that occupied by high-frequency events. Applied to marketing in general, this implies that the sum of the smallest market niches<\/b>means higher sales than those products that have a higher turnover. This model has served to explain the success of multinationals such as Amazon, <\/b>Apple or Android.<\/p>\n

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<\/span>The Key Role of the Long Tail<\/span><\/h2>\n

Contradicting the classical theory that claimed that the sale of small quantities of products at low prices was not economically sustainable, the Long Tail<\/strong> rejects this model and based on new technologies explains the success of large companies such as Amazon or Apple. The app store <\/a>of the latter is the perfect example in which the set of applications with the lowest audience exceeds in revenue those of greater success, or in the case of Amazon, being able to cover thousands of small niches has undoubtedly been a good part of its success.<\/p>\n

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<\/span>The Long Tail SEO<\/span><\/h2>\n

Within search engine positioning,<\/strong> the term Long Tail has also gained special relevance in relation to keywords or keywords,<\/strong> and is that in most cases the searches of users of the less frequent keywords will report more income than the most common searches. In this way, it is more beneficial to try to position <\/a>by more specific terms, with greater relevance and less competition that as a whole will have a greater volume, following the classic Pareto principle.<\/p>\n

Frequently asked questions about Long Tail<\/h2>\n
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\nWhat is Long Tail?<\/summary>\n

Definition: The Long Tail or Long Tail is a concept that refers to a type of statistical distribution, popularized by Chris Anderson in 2004, which is very applicable within the world of online positioning. In this type of distribution, the area covered by low-frequency events is much larger than that occupied by high-frequency events. In the Arimetrics glossary it is placed in a digital marketing context to clarify its role, uses and practical implications.<\/p>\n<\/details>\n

\nWhat is Long Tail used for in digital marketing?<\/summary>\n

It is used to better analyse an action, tool, channel or behaviour related to acquisition, measurement, communication, sales or user experience. Its value depends on applying it to a concrete decision.<\/p>\n<\/details>\n

\nHow is Long Tail related to a digital strategy?<\/summary>\n

It is related to digital strategy when it affects objectives, data, content, technology, campaigns or conversion processes. That is why it should be reviewed together with the business context, not as an isolated term.<\/p>\n<\/details>\n

\nWhat should be considered when working with Long Tail?<\/summary>\n

It is advisable to review its definition, context, associated metrics, limitations and possible risks. It is also useful to validate whether the concept has a real impact on performance, user experience or decision-making.<\/p>\n<\/details>\n<\/div>\n