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What are the problems when analyzing and acting on data from enterprise-level SEO projects? With hundreds of thousands of pages to deal with, the utilization of machine learning is fastly becoming an essential resource. Mark Traphagen of SEO Clarity gives us his insights into these issues. He also gives us a perspective of what is a good make-up of an enterprise SEO skill set. Happy to have been able to catch up with Mark and have a good solid discussion.
[00:06:22]
Getting behind the curtain of Big Data inside of a NSEO software provider
[00:09:20]
The biggest issue in enterprise SEO. The time to move from data to insight to action
[00:13:12]
Listening to SEO’s is an important part of developing SaaS SEO software
[00:14:00]
How many enterprise SEOS actually “get” the goals of their business? What have you seen from the most successful SEOs?
[00:16:34]
Do we have to move as fast as Google is?
[00:21:34]
Matching our machine learning to the Google machine
4.6
3636 ratings
What are the problems when analyzing and acting on data from enterprise-level SEO projects? With hundreds of thousands of pages to deal with, the utilization of machine learning is fastly becoming an essential resource. Mark Traphagen of SEO Clarity gives us his insights into these issues. He also gives us a perspective of what is a good make-up of an enterprise SEO skill set. Happy to have been able to catch up with Mark and have a good solid discussion.
[00:06:22]
Getting behind the curtain of Big Data inside of a NSEO software provider
[00:09:20]
The biggest issue in enterprise SEO. The time to move from data to insight to action
[00:13:12]
Listening to SEO’s is an important part of developing SaaS SEO software
[00:14:00]
How many enterprise SEOS actually “get” the goals of their business? What have you seen from the most successful SEOs?
[00:16:34]
Do we have to move as fast as Google is?
[00:21:34]
Matching our machine learning to the Google machine
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