Search Engines

Google’s local algorithm is a horse of a different color when compared with the organic algo most SEOs are familiar with. Joy Hawkins will share results from a SterlingSky study on how proximity varies greatly when comparing local and organic results, how reviews impact ranking (complete with data points from testing), how spam is running wild (and how it negatively impacts real businesses), and more.

By now, most SEOs are comfortable with the idea of featured snippets, but actually understanding and capturing them in the changing search landscape remains elusive. Britney Muller will share some eye-opening data about the SERPs you know and love while equipping you with a bevy of new tricks for winning featured snippets into your toolbox.

The emergence of voice-search and Google Assistant is forcing Google to change its model in search, to favor their own entity understanding or the world, so that questions and queries can be answered in context. Many marketers are struggling to understand how their website and their job as an SEO or SEM will change, as searches focus more on entity-understanding, context and action-oriented interaction. This shift can either provide massive opportunities, or create massive threats to your company and your job — the main determining factor is how you choose to prepare for the change.

In our rush to rank, we put ourselves first, neglecting what searchers (and our future customers) want. Google wants to reward sites that deliver on searcher intent, and SERP features are a window into that intent. Find out how to map keywords to intent, understand how intent informs the buyer funnel, and deliver on the promise of ranking to drive results that attract clicks and customers.

Search engine optimization is a numbers game. We want some numbers to go up (links, rankings, traffic, and revenue), others to go down (bounce rate, load time, and budget). Underlying all these numbers are assumptions that can mislead, deceive, or downright ruin your campaigns. Russ Jones will help uncover the hidden biases, distortions, and fabrications that underlie many of the metrics we have come to trust implicitly and from the ashes show you how to build metrics that make a difference.

At this point, we should all have some idea of how important site speed is to our performance in search. The recently announced "speed update" underscored that fact yet again. It isn't always easy for marketers to know where to start improving their site's speed, though, and a lot of folks mistakenly believe that site speed should only be a developer's problem. Emily Grossman will clear that up with an actionable tour of just how much impact our own work can have on getting our sites to load quickly enough for today's standards.

Or maybe, "SEO you don't know you don't know." We've all heard people throw jargon around in an effort to sound smart when they clearly don't know what it means, and our industry of SEO is no exception. There are aspects of search that are acknowledged as important, but seldom actually understood. Michael King will save us from awkward moments, taking complex topics like the esoteric components of information retrieval and log-file analysis, pairing them with a detailed understanding of technical implementation of common SEO recommendations, and transforming them into tools and insights we wish we'd never neglected.

Google's improvements in understanding language and search intent have changed how and why content ranks. As a result, many SEOs are chasing rankings that Google has already decided are hopeless. Stephanie Briggs will cover how this should impact the way you write and optimize content for search, and will help you identify the right content opportunities. She'll teach you how to persuade organizations to invest in content, and will share examples of strategies and tactics she has used to grow content programs by millions of visits.

People generally react to machine learning in one of two ways: either with a combination of fascination and terror brought on by the possibilities that lie ahead, or with looks of utter confusion and slight embarrassment at not really knowing much about it. With the advent of RankBrain, not even higher-ups at Google can tell us exactly how some things rank above others, and the impact of machine learning on SEO is only going to increase from here. Fear not: Moz's own senior SEO scientist, Britney Muller, will talk you through what you need to know.

SEO requires a delicate balance of working for the humans you're hoping to reach, and the machines that'll help you reach them. To make a difference in today's SERPs, you need to understand the engines, site configurations, and even some machine learning, in addition to the emotional, raw, authentic connections with people and their experiences. In this talk, Alexis Sanders will help marketers of all stripes walk that line.