Justin It’s easy to get wrapped up in the growing complexity of SEO. I’m guilty of this myself.
However, sometimes it’s nice to be reminded that there is value in the same SEO we’ve been doing for years. I’ve had a reminder like this recently that I’d like to share (well, within reason… I can’t share all the details).
It seems like you can’t get through a week without hearing about “Content Marketing” or “Content Strategy”. These strategies call for increasingly complicated pieces of content, including “Big Content”, video, data visualization, photography, and robust design. Demands for Content are Growing This progression creates a problem for SEOs. There is a skill gap that exists across a …
Transparency is something we don’t get enough of in SEO. Through hundreds of posts of strategy, theory, tools, and tactics, it’s not too often that we talk about real examples. Some of the best content at Mozcon this year were presentations that shared real examples of scrappy SEO projects. My hope is to do something …
Although I hate the phrase “content marketing”, I want talk about leveraging content to drive business metrics beyond top of funnel traffic. In my presentation in Boston earlier this year, I talked about how to think about users, not traffic, when approaching a link building campaign.
You should be doing the same with your content.
By tackling metrics like COCA, ARPU and LTV, SEO can be used to monetize demand in a way that pure traffic chasing can’t.
Keyword Cannibalization. Duplicate Content. Crawl Priority. All of these are inherently SEO jargon, which can downplay the significance of such problems to boards, exec teams, or senior management. These problems sometimes exist due to information architecture problems or issues with the CMS. However, keyword cannibalization can be the result of a much larger, strategic problem for a company. A problem that can significantly minimize realized revenue. Let’s step out of SEO for a moment and look at some economic aspects of such a problem.
I’ve been working on a number of technical projects recently and wanted to share a small solution to an issue that doesn’t always have a great solution.
Graph theory is fundamental to most of the work done in SEO and social media. Everything from PageRank, EdgeRank, spam analysis, clustering, and implicit / explicit social graphs are all built on graph theory. Although successful SEO can be executed without ever knowing the difference between a node and an edge, a basic understanding of graph theory can help an SEO make the intellectual leap to better understand how search engines can view and analyze data.
Entities. They’re nothing new in SEO, but over the last year, I’ve been ruminating on how moving into entities should fundamentally be changing the way most of us are still thinking about SEO. To start, let’s first step back and look at the history of the algorithms. Moving from Pages to Entities In the early …
Link building is full of time consuming, repetitive tasks. I’ve written once before about humanistic scaling, which works great as a strategic approach to link building, but ultimately, there will always be a degree of heavy lifting that requires someone to sit down and work through a bunch of repetitive tasks. This includes tasks like advanced searches, prospecting, contact detail discovery, following up with content writers, sending emails, reminding yourself to follow up, and copying information from tool to tool or source to tool with no streamlined workflow.
I’d like to share some useful tools that can help you scale these tasks (some of them I use all the time, others I’ve poke around with at times, and others are just cool and useful when needed).
To set the stage, yesterday Google announced a new “Freshness” Update, which had an effect on 35% of all queries. Barry wrote a great post about it on Search Engine Land and Rand and Mike followed up with a great Whiteboard Friday documenting some of the early observations from SEOs. But beyond the news of the update, I’d like to look at some of the potential methodologies used by search engines to implement this update.