Guide to Enhance Your SEO via Data Science and Machine Learning Algorithms

Gone is the era of single tweaks in content or the tags in your title to top the search results.

Google’s algorithm is phenomenally more difficult to figure out now than it was before. Further, 75 percent of online users only look at the first page of results in a Google search.

Through the use of data science, you can crack the code and figure out how to top Google’s search engine results time after time…

With data science, you can make concrete decisions by doing the following:

  • Visualizing which word combos have the potential for the biggest search engine impact
  • Build marketing campaigns in line with the demands of your audience
  • Understand the preferences of your buyers and figure out their pain points
  • Pin point sources of referrals for converting traffic
  • Verify and analyze load times, response errors, indexing, redirects, and bounce rates
  • Determine the most frequently crawled and least viewed sites
  • Identify pages that aren’t supposed to be indexed by crawlers
  • Determine where unusual traffic comes from

How do you make use of SEO? No worries. We got that covered fam.

1) Pick your sources of data

Keep in mind that the quality of the data affects the quality of the insights. Higher quality data yields higher quality results.

2) Consider the ecosystem instead of looking at “data” and “tools”

If your SEO is complex and works with marketing from many different channels of marketing, then your analytics will likely be complex and require more than one “fix” or “tool” to solve your problems.

3) Your SEO strategy and marketing strategies should work together.

Supporting your SEO with your marketing campaign will enhance your SEO strategy.

4) Make graphical representations of the data

Are you having a difficult time trying to make sense of your data because it’s a bunch of numbers on a spreadsheet? No worries. Graphs can remove the mystery and help make sense of things for you. Visualizing the data in a graph can do the following for you:

  • Deal with massive volumes of data at scale
  • Display comparisons and contrasts
  • Make insight discovery happen faster
  • Show questions that were hidden
  • Show patterns and trends

5) Utilize A/B testing determine what users prefer

The staff at LinkedIn experimented with an A/B test through the help of the XNLT platform. By reducing the number of pages for checkout for a subscription and including a faq page, LinkedIn obtained the following results: more annual bookings (valued at millions of dollars), thirty percent less refunds of orders, and ten percent more free trial subscriptions.


Data science takes the guess work out of SEO and explains how to yield results.

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