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Google algorithm is very hard to crack. Competition is tough & records say that 85 percent of online users do not scroll to next page of the search engine results. As you can imagine, this makes the SEO space highly competitive to stay on 1st page of Google and Companies can no longer rely on basic techniques. However, you can always make sure that the odds are in your favor by using data science.
What is data science?
A combination of various tools, Google Algorithms, and Artificial Intelligence strategies, designed to follow the hidden patterns using the raw data is referred to as data science. Data science is creating its impression across every domain.
A Study by Maryville University states that around 1.7 MB data will be generated every second for everyone on the planet by the end of 2020.
Why do you need it?
Data science provides valuable information about a website’s performance and these insights can help you in improve your SEO Strategies. Data science is used to make assumptions about upcoming trends and customer behavior using Google Analytics and Artificial Intelligence. For example, Netflix uses insight from data science to produce its original series that drives user interest.
Apart from identifying opportunities, data science also handles high volume of data and helps in making better decisions. Businesses can easily take an insight for the importance of a marketing campaign with the help of data science.
How does data science help SEO?
Data science helps a Businessman to make a straight forward decision by letting himself:
How do you apply data science to your SEO data?
Follow the below ways to apply data science to your SEO campaigns:
Search and the ecommerce holiday season: Capturing key moments that matterTop five SEO tools to generate more leads in 2020An introduction to Google Ads Video Ad Sequencing (VAS)Yext researches what American customers are looking for throughout the year.
Do not rely on one solution if your SEO is complex and integrates with various other digital marketing areas like content marketing, CX management, CRO, and sales. The “data science” approach to SEO is about integrating methods, tools, and practices in a way that draws deep and accurate insights from the cumulative data mix. Consider the SEMRush console we discussed above. The traffic stats it presents work on the assumption that all traffic is genuine. What if there are bad bots at play here? It makes a lot of sense to bring in a traffic quality checking tool into the mix, something like what Finteza does.
It offers you advanced bot detection tech, along with a whole suite of conversion funnel optimization modules, to help you not only make more sense of your data but also to put the insight into action, to drive business KPI scores.
Use data science to determine a universal set of SEO best practices each team can follow to achieve your goal. Try tracking the evolving relationships between independent and dependent variables to get a better idea of what actions are important to your business.
To fully understand how your SEO affects other channels, capture and analyze data from:
Test it out yourself. Leverage data science during an SEO technical audit and receive insights about your site’s health and performance. Use that data to know more about your page authority, rankings, number of outbound/inbound links per page, and other factors. However, you won’t find a proper answer about why some pages perform better in the search results, while the others lag behind. Visualizing the site’s internal link structure and figuring out the domain authority of individual pages on a scale of one to ten (like Google) allows you to see the areas for improvement and adopt proactive measures.
On-page SEO optimization is just a single example of how SEO experts combine visualizations with data science to provide better results to clients. Make your SEO data more actionable with visualizations.
Data science focuses on eliminating guesswork from SEO. Rather than presuming what works and how a specific action affects your goals, use data science to know what’s bringing you the desired results and how you’re able to quantify your success. Brands like Airbnb are already doing it and so can you.
Friends, that was all from my side regarding Data Science.