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Posted by TheMozTeam With the new year in full swing and an already busy first quarter, our 2019 predictions for SEO in the new year are hopping onto the scene a little late — but fashionably so, we hope. From an explosion of SERP features to increased monetization to the key drivers of search this year, our SEO experts have consulted their crystal balls (read: access to mountains of data and in-depth analyses) and made their predictions. Read on for an exhaustive list of fourteen things to watch out for in search from our very own Dr. Pete, Britney Muller, Rob Bucci, Russ Jones, and Miriam Ellis! 1. Answers will drive search People Also Ask boxes exploded in 2018, and featured snippets have expanded into both multifaceted and multi-snippet versions. Google wants to answer questions, it wants to answer them across as many devices as possible, and it will reward sites with succinct, well-structured answers. Focus on answers that naturally leave visitors wanting more and establish yo...

Posted by TheMozTeam This post was originally published on the STAT blog . We all know that featured snippets provide easy-to-read, authoritative answers and that digital assistants love to say them out loud when asked questions. This means that featured snippets have an impact on voice search — bad snippets, or no snippets at all, and digital assistants struggle. By that logic: Create a lot of awesome snippets and win the voice search race. Right? Right, but there’s actually a far more interesting angle to examine — one that will help you nab more snippets and optimize for voice search at the same time. In order to explore this, we need to make like Doctor Who and go back in time. From typing to talking Back when dinosaurs roamed the earth and queries were typed into search engines via keyboards, people adapted to search engines by adjusting how they performed queries. We pulled out unnecessary words and phrases, like “the,” “of,” and, well, “and,” which created truncated reque...

Posted by BrankoK Too often do you see SEO analyses and decisions being made without considering the context of the marketing channel mix. Equally as often do you see large budgets being poured into paid ads in ways that seem to forget there's a whole lot to gain from catering to popular search demand. Both instances can lead to leaky conversion funnels and missed opportunity for long term traffic flows. But this article will show you a case of an SEO context analysis we used to determine the importance and role of SEO. This analysis was one of our deliverables for a marketing agency client who hired us to inform SEO decisions which we then turned into a report template for you to get inspired by and duplicate. Case description The included charts show real, live data. You can see the whole SEO channel context analysis in this Data Studio SEO report template . The traffic analyzed is for of a monetizing blog, whose marketing team also happens to be one of most fun to work fo...

Posted by TheMozTeam This blog post was originally published on the STAT blog. The first step to getting the most out of your SERP data is smart keyword segmentation — it surfaces targeted insights that will help you make data-driven decisions. But knowing what to segment can feel daunting, especially when you’re working with thousands of keywords. That’s why we’re arming you with a handful of must-have tags. Follow along as we walk through the different kinds of segments in STAT, how to create them, and which tags you’ll want to get started with. You’ll be a fanciful segment connoisseur by the time we’re through! Segmentation in STAT In STAT, keyword segments are called “tags” and come as two different types: standard or dynamic. Standard tags are best used when you want to keep specific keywords grouped together because of shared characteristics — like term (brand, product type, etc), location, or device. Standard tags are static, so the keywords that populate those segments...

Posted by scott.taft We've been talking a lot about search intent this week, and if you've been following along, you’re likely already aware of how “search intent” is essential for a robust SEO strategy. If, however, you’ve ever laboured for hours classifying keywords by topic and search intent, only to end up with a ton of data you don’t really know what to do with, then this post is for you. I’m going to share how to take all that sweet keyword data you’ve categorized, put it into a Power BI dashboard, and start slicing and dicing to uncover a ton insights — faster than you ever could before. Building your keyword list Every great search analysis starts with keyword research and this one is no different. I’m not going to go into excruciating detail about how to build your keyword list. However, I will mention a few of my favorite tools that I’m sure most of you are using already: Search Query Report — What better place to look first than the search terms already driv...

Posted by rjonesx. Over 7 years ago, while still an employee at Virante, Inc. (now Hive Digital ), I wrote a post on Moz outlining some simple methods for detecting backlink manipulation by comparing one's backlink profile to an ideal model based on Wikipedia . At the time, I was limited in the research I could perform because I was a consumer of the API, lacking access to deeper metrics, measurements, and methodologies to identify anomalies in backlink profiles. We used these techniques in spotting backlink manipulation with tools like Remove'em and Penguin Risk, but they were always handicapped by the limitations of consumer facing APIs. Moreover, they didn't scale. It is one thing to collect all the backlinks for a site, even a large site, and judge every individual link for source type, quality, anchor text, etc. Reports like these can be accessed from dozens of vendors if you are willing to wait a few hours for the report to complete. But how do you do this for 30 tri...

Posted by DiTomaso We base so much of our livelihood on good data, but managing that data properly is a task in and of itself. In this week's Whiteboard Friday, Dana DiTomaso shares why you need to keep your data clean and some of the top things to watch out for. Click on the whiteboard image above to open a high resolution version in a new tab! Video Transcription Hi. My name is Dana DiTomaso. I am President and partner at Kick Point . We're a digital marketing agency, based in the frozen north of Edmonton, Alberta. So today I'm going to be talking to you about data hygiene. What I mean by that is the stuff that we see every single time we start working with a new client this stuff is always messed up. Sometimes it's one of these four things. Sometimes it's all four, or sometimes there are extra things. So I'm going to cover this stuff today in the hopes that perhaps the next time we get a profile from someone it is not quite as bad, or if you look at t...