{"id":1050,"date":"2020-03-13T14:47:25","date_gmt":"2020-03-13T14:47:25","guid":{"rendered":"https:\/\/www.rankmovers.com\/?p=1050"},"modified":"2024-02-23T09:28:36","modified_gmt":"2024-02-23T09:28:36","slug":"how-to-use-big-data-to-improve-your-rankings","status":"publish","type":"post","link":"https:\/\/www.rankmovers.com\/how-to-use-big-data-to-improve-your-rankings\/","title":{"rendered":"How to Use Big Data to Improve Your Rankings \u2013 SEO Tips"},"content":{"rendered":"
Big data has been a big buzzword in the world of information technology. Yet, its impact on SEO has only begun to be a point of consideration in recent years. \u00a0Yet, it is only in the past few years that people have really begun to think how it impacts SEO. However, it all makes complete sense when you really think about it. Google uses search habits to target more relevant ads at users. Similarly, webmasters can use the same data to ensure that they craft content that actually fits what their targeted audience desires.<\/p>\n
Below we have a good look at firstly, what big data is. Secondly, we look at how Google uses big data. Thirdly, we look at big data affects SEO, and then, finally we look at how webmasters can obtain big data to improve their content.<\/p>\n
To understand the idea of Big Data and how it relates to SEO, perhaps it\u2019s best to begin by looking a bit at the history of the web and human interaction with it. Currently, three periods of the web have been identified by computer historians:<\/p>\n
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More traditional definitions for the term big data referred to methods which allowed people to extract information or data sets that were larger than what traditional data processing software was able to deal with.<\/p>\n
However, currently, most use the term to user behavior analytics or predictive analytics. Basically, the information that can be inferred from the information gathered. (Think back to the Google Ads example.)<\/p>\n
Google uses several tools to gather predicative analytics in order to better serve its users. Some of examples how they gather big data to improve their services include:<\/p>\n
As previously mentioned, Google\u2019s algorithm tries to build profiles for its users. Thus, trying to determine correlations between certain search terms and the information you actually want. This is where Natural Language Processing becomes particularly important.<\/p>\n
If the search algorithm relates a search term to a whole load of concepts, you need to have those concepts on your page to help Google understand what your page is about. The algorithm uses big data to identify what sort of information people who search for a particular topic would also be interested in.<\/p>\n
The result of this is that it has become harder to rank on Google. So, previously, it was fine just to put your keywords on a page to get it to rank but now the algorithm requires you to do a whole lot more. Unfortunately, you don\u2019t always know exactly what is required and this is where research becomes more important.<\/p>\n
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When you plan content, you need to know how people are looking for the content you are trying to create. Often this means not focusing on a handful of keyword<\/a>s but larger subsets to ensure that you are able to cover as much as possible.<\/p>\n However, we should only focus on keywords that are actually relevant to the page we want to write. So, even if a keyword has a high search volume, if it isn\u2019t relevant to your page, don\u2019t include it. You need to keep user intent in mind. What does the user want to find when searching for this search term? Will my content provide that information?<\/p>\n You can find keywords people are using to search for the content you would like to create through using tools such as SEMrush and Google Keyword Planner. Keyword Planner (which is accessible through Google Ad Words) is particularly important. This is Google telling you how users are searching for concepts you may want to write about and the terms that are related to it.<\/p>\n If your page\/site is getting traffic, you can optimize it by having a look at how exactly people are finding it. Sometimes, you\u2019ll find that this information conflicts with the keywords you obtained.<\/p>\n Other times, it\u2019ll suggest that you add onto already existing content. For example, if you see people accessing your content through a search query\/question that was not included on your page, you can add it.<\/p>\n It\u2019s all about using the data that your site gives you to better answer the questions your audience is asking.<\/p>\n Most people aren\u2019t aware of how much social media impacts rankings. For many, it is the primary method used for interacting with other people on the web. It is also an area where people make others (including search engines and other web technologies) of your likes, dislikes, what you would like to know, etc.<\/p>\n It has been suggested that how much attention is paid to a particular idea\/concept on social media directly impact search engine rankings as well. The actual reason for how it impacts rankings has been debated but many agree that it has got a lot to with engagement (CTR, bounce rate, etc.) as opposed to how many Facebook likes or retweets it gets.<\/p>\n This is even true of YouTube \u2013 one of Google\u2019s own social media platforms. A good example of this was that PewDiePie once asked viewers to purposely dislike a video and it still appeared on YouTube\u2019s trending list. The reason for this was watch time. In fact, if you were to look at the full list of the most disliked videos on YouTube, you would notice that they were all trending at one time \u2013 and were at one stage being actively recommended to viewers by YouTube.<\/p>\n We have already covered this before, so I won\u2019t go into too much detail about structured data. Basically, structured data<\/a> provides Google with information about the page, which allows it to understand what it is about and how it relates to what content already exists. Why wouldn\u2019t you want to tell Google directly what your content is about?<\/p>\n <\/p>\n One very important thing to note about big data is that the profiles created by Google aren\u2019t always astutely accurate.<\/p>\n Thus, you could have all the relevant keywords and concepts you think to be associated with an idea on a page and it could still not rank. This is sometimes due to the fact that Google has created an erroneous profile for users searching a particular term, which then makes ranking for that term that much harder. This is because you do not know what to include on the page.<\/p>\n However, this does not mean that we shouldn\u2019t have a look at big data \u2013 it could still prove very beneficial to your content.<\/p>\n2. Improving your content with information gathered from your site<\/h3>\n
3. Social media is more important than you think<\/h3>\n
4. Structured Data<\/h3>\n
Notes about big data<\/h2>\n