How data science can boost SEO strategy

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This article was provided by Atul Jindal, a web design and marketing expert.

Data science is trending in modern ways of digital marketing. It helps businesses make data-driven decisions. Every two out of three marketers believe these decisions are better than their non-data-based counterparts. Data science expands into a variety of areas of digital marketing, making these processes more efficient and less time consuming. Search engine optimization is one of these processes.

Traditionally, SEO has been concerned with assumption-based best practices. And it still does. However, with the presence of huge amounts of data, it makes no sense why marketers should not use it to streamline their SEO efforts. Stimulates data by helping marketers see what previous strategies have worked on and enable them to predict what will work in the future.

In this article, I will share some data-driven SEO strategies so you can boost your SEO efforts with data.

How To Use Data Science To Improve Your SEO

Data science organizes modern tools, technologies and practices to analyze large amounts of data and extract meaningful information from it. Data itself is nothing more than numbers – it’s the science that makes it sensible, helping businesses make informed decisions. Data science as a result makes data a valuable resource that it is considered today.

Data science can also boost your SEO by helping you make more data-driven decisions. Here are some data-based SEO strategies you can incorporate into your SEO campaign:

Consumer behavior analysis

Customer behavior analysis is a process that helps you find and analyze the data of your target audience, enabling you to learn more about your audience and create highly targeted buyer individuals. Through Customer Behavior Analysis, you can get critical customer demographic data that can guide not only your SEO strategy but your entire marketing campaign.

The search engine landscape has changed a lot in the last decade. You can no longer reach the top of the SERP by filling your content with a set of keywords and creating keyword-heavy metadata. Search engines now weigh the experience your website has to offer. Do users find it helpful? Are they satisfied with that? They want to make sure that the website they rank aligns perfectly with the user’s search objective. So, you have to take time to understand your target audience and know what they are looking for when they type a specific keyword.

In addition, you need to make sure that your website answers the questions your users are struggling to find. In short, you have to be intuitive and proactive with your solutions. Therefore, you need customer behavior analysis to better understand your audience and tailor your SEO strategy accordingly. This helps you create a website that aligns with the user’s search objectives and answers their queries or solves their problems as best as possible, ultimately offering the kind of UX that Google is looking to rank websites.

Customer behavior analysis helps you to be relevant to users, which in turn drives your SEO metrics. SEO expert Mario Deal was tasked with increasing traffic to the health and fitness website. He optimized the business website to make headlines more relevant to users, increased the overall relevance of the website, and implemented a set of other SEO techniques. As a result, the site began generating 4x the traffic of its competitors. Therefore, never underestimate the power of data-driven consistency that emerges from thorough customer behavior analysis.

Improve website user experience

As mentioned earlier, Google’s most recent updates show that it tends to rank websites that offer better UX than websites that offer bad UX.

In the previous section, we talked about optimizing the website experience through content. But content is just one aspect of the entire website experience spectrum. Content works to increase the usefulness of the website. You need utility to truly enhance your website’s reputation in the eyes of your users and search engines. The usefulness of your website is defined by how easy it is for users to navigate. Therefore, it relies heavily on web design.

In addition to usability, website performance is another important part that adds to the overall experience. The chances of a user bouncing from your website increase by 32% as your load time goes from one to three seconds. In addition, 48% of users are annoyed when the website is not optimized for mobile. These variables are some of the key components that shape the user experience of your website. And with a data-backed approach, you can optimize all of that to boost your UX.

With data-based design, you can develop an intuitive web design that addresses your user’s questions and clearly presents a solution. Data-based design is a design approach that is based on user data and guides your web design decisions. This approach enhances the UX of the website by ensuring that it is aligned with the user’s search objective, easy to navigate and quickly resolves user issues.

Alternatively, you can track your web analytics to highlight website performance data and see if your website is taking too long to load. Google Analytics is a very valuable tool for making data based decisions; For example, it may tell you that most of your users are coming from mobile devices. With this data, you can optimize the load speed of your website and optimize it for mobile devices so that you will not leave any stone unturned while trying to boost your UX and consequently, improve your website ranking.

Tracking and optimizing user behavior metrics

Google representatives have ruled out any association between user behavior metrics and rankings. But we all agree that Google uses its UX when determining a website’s rank. Therefore, I think it should give some importance to user behavior metrics. Otherwise how will it determine the page experience?

There are many different variables that search engines like Google can rely on when evaluating a website’s UX. These metrics include CTR, stay time, bounce rate, time on site, pages per visit, repeated visits, etc. Track these metrics and compare them with industry criteria to identify improvement areas. Then use your audience’s analytics data to optimize them (possibly) for better ranking in search engines.

Neil Patel notes, “If your CTR is high and your users are actually spending more time on your page, then Google concludes that users are finding the information on your web page useful. [optimizing] It is an effective on-page SEO strategy. Google will then top your rankings. “

SEO Competitive Analysis

Competitor analysis involves collecting SEO data from your competitor’s websites and then using that data to guide your own SEO strategy.

Effective SEO Competitive Analysis gives you a great start when doing your own SEO. You no longer have to implement strategies based on assumptions and optimize them from there. You can get real, proven-to-work strategies from your competitor’s data, implement them, and get on the field.

The first step to successful competitor analysis is to identify your competitors. Next, you can use various tools like SEMrush and Ahrefs to do full page and backlink analysis and complete your competitor research. Create a Competitive Analysis Report based on this research and develop your SEO strategy based on this report.

Data based content marketing And SEO

Content marketing and SEO are always closely related. But as search engines become more content-oriented, the lines between the two become more blurred.

In SEO, data based content brings magic to your marketing strategy. Conversions and user engagement are key ranking factors for organic results. About 64% of online visitors expect a personal connection as part of their conversion. You may have an SEO-optimized website, but it will be useless unless it is backed by user-centric and valuable content. Therefore, you must create content that resonates with users. And for that you will need data.

Data-driven content marketing is based on customer preferences and helps you deliver content tailored to the needs and interests of your audience. It enhances the performance of your website content and reduces your reliance on assumptions when developing content strategies.

When you know what kind of content your users like, the tones they choose, and other granular details, you’re better equipped to create content that connects your prospects and drives user behavior metrics.

Data based link building For SEO

Link building is another SEO strategy aimed at gaining high-quality backlinks from other high authority domains on the Internet. The purpose is to make your website more visible to search engines. Despite all the updates, Google still values ​​the quality and quantity of website backlinks, so backlinks are one of the top ranking factors.

Similarly, you can use data to increase the efficiency of your link-building campaigns. There are many tools that provide data for extremely valuable backlinking opportunities. This data reduces the tedious outreach process and provides a list of websites that have a chance to get good backlinks. While exploring your competitors’ link profiles, you can identify which links might be the most relevant, holding on to the most value to grow organically fast.

This data-driven backlinking approach can accelerate your link-building efforts, consequently increasing your SEO results. Trond Nyland, founder and CEO of Mattress Review, wanted to enhance his website SEO. It deploys data-based backlinking strategies and exposes data about websites that provide high-quality backlinking opportunities.

With their data-based approach, they quickly gained 170 backlinks from high-potential websites, which is significantly more than the eight backlinks they received from their non-data-based backlinking approach. Quick math tells us that data-based backlinking was about 400% more accurate than non-data-based. What more evidence do you need to start using data to provide information about your backlinking strategy?

Conclusion

The benefits of data science for SEO are undeniable. It can enhance the user experience of a website by gaining insights from customer behavior and data of choice. Additionally, it can give your SEO efforts a major start by extracting meaningful information from your competitor analytics data and increasing the efficiency of your link-building process. However, you should note that the benefits of data science depend on the accuracy of your data and how you choose to analyze it.

Therefore, pay special attention when choosing your data sources. Never rely on one source to ensure your results are accurate and analyze and execute quantitative data using qualitative information and heuristics.

Atul Jindal is a web design and marketing specialist.

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