Best of Internet Marketing for January 2018

The first month of 2018 has passed and the HPD team has wrangled up a few guest posts for us. Let's have a look at the special content pieces we've gathered up from January

  • Know enough about Googles RankBrain?
  • Using the KGR method and the importance of 63
  • Investigating dwell time as a ranking factor
  • And more!

Without further ado...


Why We Chose This:

This one's a guest post from Dom, our founder here at HPD, and he walks the FatStacksBlog audience through the process of building up a site from scratch. It's not necessarily focused on income, but more on the structure and journey you can expect from building up a big niche site. Also, hear why "vs" articles are Dom and Jon's favourite startup pieces.


Why We Chose This:

We've heard a lot about RankBrain and it seems that one of the only people with the capacity to do in-depth research into the subject is Brian Dean (yay!) Here's a look at the User Experience metrics he spoke about previously and how it's laying the foundations for how we need to approach SEO in the future.


Why We Chose This:

Niche analysis is one of the biggest challenges for affiliate site builders. Hence the reason for our done-for-you service. In this article, Chris walks us through a clear-cut way to figure out which niche offers descent opportunities while thinking on a more long terms scale. When you start a niche site, you better believe it that you'll be working on it for at least 2 years. That's normal and after you read this article, head over to our affiliate sites area and check out our own sites!


Why We Chose This:

Brad, our COO, has written an excellent guest post on the power of 63 when it comes to utilizing the KGR strategy. I don't want to spill the beans completely, so you'll have to read the post but I can say that it's going to make you analyze the KGR strategy a whole lot faster. Check it out!


Why We Chose This:

It's important to note that Google has said explicitly that they do not use Google Analytics data to justify their rankings. So how do they get this dwell time data then? Well, one theory put out by Joshua Hardwick is that the Chrome browser is doing the hard work. Whether or not that's true - it's important to recognize this as a potential ranking factor and be mindful of it.


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