The digital landscape is continually evolving—and the major search engines regularly roll out new algorithm updates—so SEO specialists have learned to stay flexible and reactive. As the industry inches closer and closer to relying on comprehensive machine learning, data points, SEO professionals must again evolve with the times. The content was king—and in some sense, it still is—but more and more SEO professionals see the writing on the wall and are expanding their skill sets.
Here’s what you need to know to stay prepared and elevate your SEO strategy with data:
Understand the relationship between data and SEO
While the trend toward driven-data marketing may seem intimidating, it’s not necessarily a bad thing. Data-driven decisions are already a large part of the modern SEO’s skillset. Savvy, successful SEOs know to utilise A/B testing strategies, heat mapping, and engagement metrics to evaluate and consistently improve performance in real-time.
As the landscape continues to shift, SEO professionals who adopt a data analyst’s mindset will be better equipped and stay more competitive than those who rely too much on older analysis and tactics. As SEOs gain more and more reliable and real-time data about our audiences, we’ll need the ability to get granular in terms of the data we can combine, reformulate, and interpret in meaningful ways.
Case study: Data-driven SEO to improve the customer experience
Here’s an example of what I’m talking about. As an SEO manager at Clearlink, I recently worked with a brand that was having some trouble managing all of the calls their customer service department received. The volume was higher than expected, and calls were not converting into meaningful revenue for the company. They knew something had to change, but they weren’t sure what.
Here’s an example of what I’m talking about. As an SEO manager at Clearlink, I recently worked with a brand that was having some trouble managing all of the calls their customer service department received. The volume was higher than expected, and calls were not converting into meaningful revenue for the company. They knew something had to change, but they weren’t sure what.
What’s in store for the future
Here’s an example of what I’m talking about. As an SEO manager at Clearlink, I recently worked with a brand that was having some trouble managing all of the calls their customer service department received. The volume was higher than expected, and calls were not converting into meaningful revenue for the company. They knew something had to change, but they weren’t sure what. Here’s an example of what I’m talking about. As an SEO manager at Clearlink. I recently worked with a
Data-driven decisions are already a large part of the modern SEO’s skillset.– Mike Chamberlain, CEO of TechReviews
Understand the relationship between data and SEO
Here’s an example of what I’m talking about. As an SEO manager at Clearlink, I recently worked with a brand that was having some trouble managing all of the calls their customer service department received. The volume was higher than expected, and calls were not converting into meaningful revenue for the company. They knew something had to change, but they weren’t sure what.
The digital landscape is continually evolving—and the major search engines regularly roll out new algorithm updates—so SEO specialists have learned to stay flexible and reactive. As the industry inches closer and closer to relying on comprehensive machine learning, data points.