Welcome to our weekly edition of what's hot in social media news. To help you stay up to date with social media, here are some of the news items that caught our attention. What's New This Week Reddit Announces New Ad Offering: Reddit introduced Promoted User Posts, a new ad offering that gives marketers the [...]
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- Your Guide to the Social Media Jungle
Posted by randfish
Is the practice of tracking keywords truly dying? There's been a great deal of industry discussion around the topic of late, and some key points have been made. In today's Whiteboard Friday, Rand speaks to the biggest challenges keyword rank tracking faces today and how to solve for them.
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Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we're going to chat about keyword ranking reports. There have been a few articles that have come out recently on a number of big industry sites around whether SEOs should still be tracking their keyword rankings.
I want to be clear: Moz has a little bit of a vested interest here. And so the question is: Can you actually trust me, who obviously I'm a big shareholder in Moz and I'm the founder, and so I care a lot about how Moz does as a software business. We help people track rankings. Does that mean I'm biased? I'm going to do my best not to be. So rather than saying you absolutely should track rankings, I'm instead going to address what most of these articles have brought up as the problems of rank tracking and then talk about some solutions by which you can do this.
My suspicion is you should probably be rank tracking. I think that if you turn it off and you don't do it, it's very hard to get a lot of the value that we need as SEOs, a lot of the intelligence. It's true there are challenges with keyword ranking reports, but not true enough to avoid doing it entirely. We still get too much value from them.
So let's start with the case against keyword ranking data. First off, "keyword ranking reports are inaccurate." There's personalization, localization, and device type, and that biases and has removed what is the "one true ranking." We've done a bunch of analyses of these, and this is absolutely the case.
Personalization, turns out, doesn't change ranking that much on average. For an individual it can change rankings dramatically. If they visited your website before, they could be historically biased to you. Or if they visited your competitor's, they could be biased. Their previous search history might have biased them in a single session, those kinds of things. But with the removal of Google+ from search results, personalization is actually not as dramatically changing as it used to be. Localization, though, still huge, absolutely, and device differences, still huge.
But we can address this, and the way to do that is by tracking these things separately. So here you can see I've got a ranking report that shows me my mobile rankings versus my desktop rankings. I think this is absolutely essential. Especially if you're getting a lot of traffic from both mobile and desktop search, you need to be tracking those separately. Super smart. Of course we should do that.
We can do the same thing on the local side as well. So I can say, "Here, look. This is how I rank in Seattle. Here's how I rank in Minneapolis. Here's how I rank in the U.S. with no geographic personalization," if Google were to do that. Those types of rankings can also be pretty good.
It is true that local ranked tracking has gotten a little more challenging, but we've seen that folks like, well Moz itself, but folks like STAT (GetStat), SERPs.com, Search Metrics, they have all adjusted their rank tracking methodologies in order to have accurate local rank tracking. It's pretty good. Same with device type, pretty darn good.
Another big problem that is expressed by a number of folks here is we no longer know how much traffic an individual keyword sends. Because we don't know how much an individual keyword sends, we can't really say, "What's the value of ranking for that keyword?" Therefore, why bother to even track keyword rankings?
I think this is a little bit of spurious logic. The leap there doesn't quite make sense to me. But I will say this. If you don't know which keywords are sending you traffic specifically, you still know which pages are receiving search traffic. That is reported. You can get it in your Google Analytics, your Omniture report, whatever you're using, and then you can tie that back to keyword ranking reports showing which pages are receiving traffic from which keywords.
Most all of the ranked tracking platforms, Moz included, has a report that shows you something like this. It says, "Here are the keywords that we believe are likely to have sent these percentages of traffic to this page based on the keywords that you're tracking, based on the pages that are ranking for them, and how much search traffic those pages receive."
So let's track that. We can look at pages receiving visits from search, and we can look at which keywords they rank for. Then we can tie those together, which gives us the ability to then make not only a report like this, but a report that estimates the value contributed by content and by pages rather than by individual keywords.
In a lot of ways, this is almost superior to our previous methodology of tracking by keyword. Keyword can still be estimated through AdWords, through paid search, but this can be estimated on a content basis, which means you get credit for how much value the page has created, based on all the search traffic that's flowed to it, and where that's at in your attribution lifecycle of people visiting those pages.
Pages often rank for keywords that they aren't specifically targeting, because Google has gotten way better with user intent. So it can be hard or even impossible to track those rankings, because we don't know what to look for.
Well, okay, I hear you. That is a challenge. This means basically what we have to do is broaden the set of keywords that we look at and deal with the fact that we're going to have to do sampling. We can't track every possible keyword, unless you have a crazy budget, in which case go talk to Rob Bucci up at STAT, and he will set you up with a huge campaign to track all your millions of keywords.
If you have a smaller budget, what you have to do is sample, and you sample by sets of keywords. Like these are my high conversion keywords - I'm going to assume I have a flower delivery business - so flower delivery and floral gifts and flower arrangements for offices. My long tail keywords, like artisan rose varieties and floral alternatives for special occasions, and my branded keywords, like Rand's Flowers or Flowers by Rand.
I can create a bunch of different buckets like this, sample the keywords that are in them, and then I can track each of these separately. Now I can see, ah, these are sets of keywords where I've generally been moving up and receiving more traffic. These are sets of keywords where I've generally been moving down. These are sets of keywords that perform better or worse on mobile or desktop, or better or worse in these geographic areas. Right now I can really start to get true intelligence from there.
Don't let your keyword targeting - your keyword targeting meaning what keywords you're targeting on which pages - determine what you rank track. Don't let it do that exclusively. Sure, go ahead and take that list and put that in there, but then also do some more expansive keyword research to find those broad sets of search terms and phrases that you should be monitoring. Now we can really solve this issue.
This one I think is a pretty insidious problem. But for many organizations ranking reports are more of a historical artifact. We're not tracking them for a particular reason. We're tracking them because that's what we've always tracked and/or because we think we're supposed to track them. Those are terrible reasons to track things. You should be looking for reasons of real value and actionability. Let's give some examples here.
What I want you to do is identify the goals of rank tracking first, like: What do I want to solve? What would I do differently based on whether this data came back to me in one way or another?
If you don't have a great answer to that question, definitely don't bother tracking that thing. That should be the rule of all analytics.
So if your goal is to say, "Hey, I want to be able to attribute a search traffic gain or a search traffic loss to what I've done on my site or what Google has changed out there," that is crucially important. I think that's core to SEO. If you don't have that, I'm not sure how we can possibly do our jobs.
We attribute search traffic gains and losses by tracking broadly, a broad enough set of keywords, hopefully in enough buckets, to be able to get a good sample set; by tracking the pages that receive that traffic so we can see if a page goes way down in its search visits. We can look at, "Oh, what was that page ranking for? Oh, it was ranking for these keywords. Oh, they dropped." Or, "No, they didn't drop. But you know what? We looked in Google Trends, and the traffic demand for those keywords dropped," and so we know that this is a seasonality thing, or a fluctuation in demand, or those types of things.
And we can track by geography and device, so that we can say, "Hey, we lost a bunch of traffic. Oh, we're no longer mobile-friendly." That is a problem. Or, "Hey, we're tracking and, hey, we're no longer ranking in this geography. Oh, that's because these two competitors came in and they took over that market from us."
We could look at would be something like identify pages that are in need of work, but they only require a small amount of work to have a big change in traffic. So we could do things like track pages that rank on page two for given keywords. If we have a bunch of those, we can say, "Hey, maybe just a few on-page tweaks, a few links to these pages, and we could move up substantially." We had a Whiteboard Friday where we talked about how you could do that with internal linking previously and have seen some remarkable results there.
We can track keywords that rank in position four to seven on average. Those are your big wins, because if you can move up from position four, five, six, seven to one, two, three, you can double or triple your search traffic that you're receiving from keywords like that.
You should also track long tail, untargeted keywords. If you've got a long tail bucket, like we've got up here, I can then say, "Aha, I don't have a page that's even targeting any of these keywords. I should make one. I could probably rank very easily because I have an authoritative website and some good content," and that's really all you might need.
We might look at some up-and-coming competitors. I want to track who's in my space, who might be creeping up there. So I should track the most common domains that rank on page one or two across my keyword sets.
I can track specific competitors. I might say, "Hey, Joel's Flower Delivery Service looks like it's doing really well. I'm going to set them up as a competitor, and I'm going to track their rankings specifically, or I'm going to see..." You could use something like SEMrush and see specifically: What are all the keywords they rank for that you don't rank for?
This type of data, in my view, is still tremendously important to SEO, no matter what platform you're using. But if you're having these problems or if these problems are being expressed to you, now you have some solutions.
I look forward to your comments. We'll see you again next week for another edition of Whiteboard Friday. Take care.
Video transcription by Speechpad.com
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- Your Guide to the Social Media Jungle
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- Your Guide to the Social Media Jungle
Posted by Dr-Pete
It's been over two years since Google launched Featured Snippets, and yet many search marketers still see them as little more than a novelty. If you're not convinced by now that Featured Snippets offer a significant organic opportunity, then today is my attempt to change your mind.
If you somehow haven't encountered a Featured Snippet searching Google over the past two years, here's an example (from a search for "ssl"):
This is a promoted organic result, appearing above the traditional #1 ranking position. At minimum, Featured Snippets contain an extracted answer (more on that later), a display title, and a URL. They may also have an image, bulleted lists, and simple tables.
We're all busy, and Google has made so many changes in the past couple of years that it can be hard to sort out what's really important to your customer or employer. I get it, and I'm not judging you. So, let's get the hard question out of the way: Why are Featured Snippets important?
Here's the top portion of a SERP for "hdmi cable," a commercial query:
There are a couple of interesting things going on here. First, Featured Snippets always (for now) come before traditional organic results. This is why I have taken to calling them the "#0" ranking position. What beats #1? You can see where I'm going with this... #0. In this case, the first organic is pushed down even more, below a set of Related Questions (the "People also ask" box). So, the "#1" organic position is really third in this example.
In addition, notice that the "#0" (that's the last time I'll put it in quotes) position is the same URL as the #1 organic position. So, Amazon is getting two listings on this result for a single page. The Featured Snippet doesn't always come from the #1 organic result (we'll get to that in a minute), but if you score #0, you are always listed twice on page one of results.
In our 10,000-keyword tracking data set, Featured Snippets rolled out at approximately 2% of the queries we track. As of mid-July, they appear on roughly 11% of the keywords we monitor. We don't have good historical data from the first few months after roll-out, but here's a 12-month graph (July 2015 – July 2016):
Featured Snippets have more than doubled in prevalence in the past year, and they've increased by a factor of roughly 5X since launch. After two years, it's clear that this is no longer a short-term or small-scale test. Google considers this experiment to be a success.
When Featured Snippets launched, SEOs were naturally concerned that, by extracting and displaying answers, click-through rates to the source site would suffer. While extracting answers from sites was certainly uncharted territory for Google, and we can debate their use of our content in this form, there's a growing body of evidence to suggest that Featured Snippets not only haven't harmed CTR, but they actually boost it in some cases.
In August of 2015, Search Engine Land published a case study by Glenn Gabe that tracked the loss of a Featured Snippet for a client on a competitive keyword. In the two-week period following the loss, that client lost over 39K clicks. In February of 2016, HubSpot did a larger study of high-volume keywords showing that ranking #0 produced a 114% CTR boost, even when they already held the #1 organic position. While these results are anecdotal and may not apply to everyone, evidence continues to suggest that Featured Snippets can boost organic search traffic in many cases.
Featured Snippets were born out of a problem that dates back to the early days of search. Pre-Google, many search players, including Yahoo, were human-curated directories first. As content creation exploded, humans could no longer keep up, especially in anything close to real-time, and search engines turned to algorithmic approaches and machine curation.
When Google launched the Knowledge Graph, it was based entirely on human-curated data, such as Freebase and Wikidata. You can see this data in traditional "Knowledge Cards," sometimes generically called "answer boxes." For example, this card appears on a search for "Who is the CEO of Tesla?":
The answer is short and factual, and there is no corresponding source link for it. This comes directly from the curated Knowledge Graph. If you run a search for "Tesla," you can see this more easily in the Knowledge Panel on that page:
In the middle, you can see an entry for "CEO: Elon Musk." This isn't just a block of display text - each of these line items are factoids that exist individually as structured data in the Knowledge Graph. You can test this by running searches against other factoids, like "When was Tesla founded?"
While Google does a decent job of matching many forms of a question to answers in the Knowledge Graph, they can't escape the limits of human curation. There are also questions that don't easily fit the "factoid" model. For example, if you search "What is ludicrous mode Tesla?" (pardon the weird syntax), you get this Featured Snippet:
Google's solution was obvious, if incredibly difficult - take the trillions of pages in their index and use them to generate answers in real-time. So, that's exactly what they did. If you go to the source page on Engadget, the text in the Featured Snippet is taken directly from on-page copy (I've added the green highlighting):
It's not as simple as just scraping off the first paragraph with a spatula and flipping it onto the SERP, though. Google does seem to be parsing content fairly deeply for relevance, and they've been improving their capabilities constantly since the launch of Featured Snippets. Consider a couple of other examples with slightly different formats. Here's a Featured Snippet for "How much is a Tesla?":
Note the tabular data. This data is being extracted and reformatted from a table on the target page. This isn't structured data - it's plain-old HTML. Google has not only parsed the table but determined that tabular data is a sensible format in response to the question. Here's the original table:
Here's one of my favorite examples, from a search for "how to cook bacon." For any aspiring bacon wizards, please pay careful attention to step #4:
Note the bulleted (ordered) list. As with the table, not only has Google determined that a list is a relevant format for the answer, but they've created this list. Now look at the target page:
There's no HTML ordered list (
So, let's get to the tactical question - how can you score a Featured Snippet? You need to know two things. First, you have to rank organically on the first page of results. Every Featured Snippet we've tracked also ranks on page one. Second, you need to have content that effectively targets the question.
Do you have to rank #1 to get the #0 position? No. Ranking #1 certainly doesn't hurt, but we've found examples of Featured Snippet URLs from across all of page one. As of June, the graph below represents the distribution of organic rankings for all of the Featured Snippets in our tracking data set:
Just about 1/3 of Featured Snippets are pulled from the #1 position, with the bulk of the remaining coming from positions #2–#5. There are opportunties across all of page one, in theory, but searches where you rank in the top five are going to be your best targets. The team at STAT produced an in-depth white paper on Featured Snippets across a very large data set that showed a similar pattern, with about 30% of Featured Snippet URLs ranking in the #1 organic position.
If you're not convinced yet, here's another argument for the "Why should you care?" column. Once you're ranking on page one, our data suggests that getting the Featured Snippet is more about relevance than ranking/authority. If you're ranking #2–#5 it may be easier to compete for position #0 than it is for position #1. Featured Snippets are the closest thing to an SEO shortcut you're likely to get in 2016.
The double-edged sword of Featured Snippets (for Google) is that, since the content comes from our websites, we ultimately control it. I showed in a previous post how we fixed a Featured Snippet with updated data, but let's get to what you really want to hear - can we take a Featured Snippet from a competitor?
A while back, I did a search for "What is Page Authority?" Page Authority is a metric created by us here at Moz, and so naturally we have a vested interest in who's ranking for that term. I came across the following Featured Snippet.
In very short order, our changes had the desired impact, and we took the #0 position:
Featured Snippets can require a slightly different and broader approach to keyword research, especially since many of us don't routinely track questions. So, what kind of questions tend to trigger Featured Snippets? It's helpful to keep in mind the 5 Ws (Who, What, When, Where, Why) + How, but many of these questions will generate answers from the Knowledge Graph directly.
To keep things simple, ask yourself this: is the answer a matter of simple fact (or a "factoid")? For example, a question like "How old is Beyoncé?" or "When is Labor Day?" is going to be pulled from the Knowledge Graph. While human curation can't keep up with the pace of the web, WikiData and other sources are still impressive and cover a massive amount of territory. Typically, these questions won't produce Featured Snippets.
A good starting point is "What...?" questions, such as our "What is Page Authority?" experiment. This is especially effective for industry terms and other specialized knowledge that can't be easily reduced to a dictionary definition.
Keep in mind that many Featured Snippets appear on implied "What..." questions. In other words, "What" never appears in the query. For example, here's a Featured Snippet for "PPC":
Google has essentially decided that this fairly ambiguous query deserves an answer to "What is PPC?" In other words, they've implied the "What." This is fairly common now for industry terms and phrases that might be unfamiliar to the average searcher, and is a good starting point for your keyword research.
Keep in mind that common words will produce a dictionary entry. For example, here's a Knowledge Card for "What is search?":
These dictionary cards are driven by human-curated data sources and are not organic, in the typical sense of the word. Google has expanded dictionary results in the past year, so you'll need to focus on less common terms and phrases.
"Why... ?" questions are good fodder for Featured Snippets because they can't easily be answered with factoids. They often require some explanation, such as this snippet for "Why is the sky blue?":
Likewise, "How...?" questions often require more in-depth answers. An especially good target for Featured Snippets is "How to... ?" questions, which tend to have practical answers that can be summarized. Here's one for "How to make tacos":
One benefit of "Why," "How," and "How to" questions is that the Featured Snippet summary often just serves as a teaser to a longer answer. The summary can add credibility to your listing while still attracting clicks to in-depth content. "How... ?" may also be implied in some cases. For example, a search for "convert PDF to Word" brings up a Featured Snippet for a "How to..." page.
Once you have a question in mind, and that question/query is eligible for Featured Snippets, there's another piece of the targeting problem: which page on your site is best equipped to answer that question? Let's take, for example, the search "What is SEO?". It has the following Featured Snippet from Wikipedia:
Moz ranks on page one for that search, but it still begs two questions: (1) is the ranking page the best answer to the question (in Google's eyes), and (2) what content on the page do they see as best matching the question. Fortunately, you can use the "site:" operator along with your search term to help answer both questions. Here's a Featured Snippet for [site:moz.com "what is seo"]:
Now, we know that, within just our own site, Google is seeing The Beginner's Guide as the best match to the question, and we have an idea of how they're parsing that page for an answer. If we were willing to rewrite the page just to answer this question (and that certainly involves trade-offs), we'd have a much better sense of where to start.
Featured Snippets have a close cousin that launched more recently, known to Google as Related Questions and sometimes called the "People Also Ask" box. If I run a search for "page authority," it returns the following set of Related Questions (nestled into the organic results):
Although Related Questions have a less dominant position in search results than Featured Snippets (they're not generally at the top), they're more prevalent, occurring on almost 17% of the searches in our tracking data set. These boxes can contain up to four related questions (currently), and each question expands to look something like this:
At this point, that expanded content should look familiar - it's being generated from the index, has an organic link, and looks almost exactly like a Featured Snippet. It also has a link to a Google search for the related question. Clicking on that search brings up the following Featured Snippet:
Interestingly, and somewhat confusingly, that Featured Snippet doesn't exactly match the snippet in the Related Questions box, even though they're answering the same question from the same page. We're not completely sure how Featured Snippets and Related Questions are connected, but they share a common philosophy and very likely a lot of common code. Being a better answer will help you rank for both.
If you want to know where all of this is headed in the future, you have to ask a simple question: what's in it for Google? It's easy to jump to conspiracy theories when Google takes our content to provide direct answers, but what do they gain? They haven't monetized this box, and a strong, third-party answer draws attention and could detract from ad clicks. They're keeping you on their page for another few seconds, but that's little more than a vanity metric.
I think the answer is that this is part of a long shift toward mobile and alternative display formats. Look at the first page of a search for "what is page authority" on an Android device:
Here, the Featured Snippet dominates the page - there's just not room for much more on a mobile screen. As technology diversifies into watches and other wearables, this problem will expand. There's an even more difficult problem than screen space, though, and that's when you have no screen at all.
If you do a voice search on Android for "what is page authority," Google will read back to you the following answer:
"According to Moz, Page Authority is a score developed by Moz that predicts how well a specific page will rank on search engines."
This is an even more truncated answer, and voice search appends the attribution ("According to Moz..."). You can still look at your phone screen, of course, but imagine if you had asked the question in your car or on Google's new search appliance (their competitor to Amazon's Echo). In those cases, the Featured Snippet wouldn't just be the most prominent answer - it would be the only answer.
Google has to adapt to our changing world of devices, and often those devices requires succinct answers and aren't well-suited to a traditional SERP. This may not be so much about profiting from direct answers for Google as it is about survival. New devices will demands new formats.
After years of tracking rich SERP features, watching the world of organic search evolve, and preaching that evolution to our customers and industry, I'm happy to say that our Product Team has been hard at work for months building the infrastructure and UI necessary to manage the rich and complicated world of SERP features, including Featured Snippets. Spoiler alert: expect an announcement from us very soon.
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