Moz Local Officially Launches in the UK

Posted by David-Mihm

To all Moz Local fans in the UK, I’m excited to announce that your wait is over. As the sun rises “across the pond” this morning, Moz Local is officially live in the United Kingdom!

A bit of background

As many of you know, we released the US version of Moz Local in March 2014. After 12 months of terrific growth in the US, and a boatload of technical improvements and feature releases–especially for Enterprise customers–we released the Check Listing feature for a limited set of partner search engines and directories in the UK in April of this year.

Over 20,000 of you have checked your listings (or your clients’ listings) in the last 3-1/2 months. Those lookups have helped us refine and improve the background technology immensely (more on that below). We’ve been just as eager to release the fully-featured product as you’ve been to use it, and the technical pieces have finally fallen into place for us to do so.

How does it work?

The concept is the same as the US version of Moz Local: show you how accurately and completely your business is listed on the most important local search platforms and directories, and optimize and perfect as many of those business listings as we can on your behalf.

For customers specifically looking for you, accurate business listings are obviously important. For customers who might not know about you yet, they’re also among the most important factors for ranking in local searches on Google. Basically, the more times Google sees your name, address, phone, and website listed the same way on quality local websites, the more trust they have in your business, and the higher you’re likely to rank.

Moz Local is designed to help on both these fronts.

To use the product, you simply need to type a name and postcode at moz.com/local. We’ll then show you a list of the closest matching listings we found. We prioritize verified listing information that we find on Google or Facebook, and selecting one of those verified listings means we’ll be able to distribute it on your behalf.

Clicking on a result brings you to a full details report for that listing. We’ll show you how accurate and complete your listings are now, and where they could be after using our product.

Clicking the tabs beneath the Listing Score graphic will show you some of the incompletions and inconsistencies that publishing your listing with Moz Local will address.

For customers with hundreds or thousands of locations, bulk upload is also available using a modified version of your data from Google My Business–feel free to e-mail enterpriselocal@moz.com for more details.

Where do we distribute your data?

We’ve prioritized the most important commercial sites in the UK local search ecosystem, and made them the centerpieces of Moz Local. We’ll update your data directly on globally-important players Factual and Foursquare, and the UK-specific players CentralIndex, Thomson Local, and the Scoot network–which includes key directories like TouchLocal, The Independent, The Sun, The Mirror, The Daily Scotsman, and Wales Online.

We’ll be adding two more major destinations shortly, and for those of you who sign up before that time, your listings will be automatically distributed to the additional destinations when the integrations are complete.

How much does it cost?

The cost per listing is £84/year, which includes distribution to the sites mentioned above with unlimited updates throughout the year, monitoring of your progress over time, geographically- focused reporting, and the ability to find and close duplicate listings right from your Moz Local dashboard–all the great upgrades that my colleague Noam Chitayat blogged about here.

What’s next?

Well, as I mentioned just a couple paragraphs ago, we’ve got two additional destinations to which we’ll be sending your data in very short order. Once those integrations are complete, we’ll be just a few weeks away from releasing our biggest set of features since we launched. I look forward to sharing more about these features at BrightonSEO at the end of the summer!

For those of you around the world in Canada, Australia, and other countries, we know there’s plenty of demand for Moz Local overseas, and we’re working as quickly as we can to build additional relationships abroad. And to our friends in the UK, please let us know how we can continue to make the product even better!

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The Linkbait Bump: How Viral Content Creates Long-Term Lift in Organic Traffic – Whiteboard Friday

Posted by randfish

A single fantastic (or “10x”) piece of content can lift a site’s traffic curves long beyond the popularity of that one piece. In today’s Whiteboard Friday, Rand talks about why those curves settle into a “new normal,” and how you can go about creating the content that drives that change.

For reference, here’s a still of this week’s whiteboard. Click on it to open a high resolution image in a new tab!

Video Transcription

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we’re chatting about the linkbait bump, classic phrase in the SEO world and almost a little dated. I think today we’re talking a little bit more about viral content and how high-quality content, content that really is the cornerstone of a brand or a website’s content can be an incredible and powerful driver of traffic, not just when it initially launches but over time.

So let’s take a look.

This is a classic linkbait bump, viral content bump analytics chart. I’m seeing over here my traffic and over here the different months of the year. You know, January, February, March, like I’m under a thousand. Maybe I’m at 500 visits or something, and then I have this big piece of viral content. It performs outstandingly well from a relative standpoint for my site. It gets 10,000 or more visits, drives a ton more people to my site, and then what happens is that that traffic falls back down. But the new normal down here, new normal is higher than the old normal was. So the new normal might be at 1,000, 1,500 or 2,000 visits whereas before I was at 500.

Why does this happen?

A lot of folks see an analytics chart like this, see examples of content that’s done this for websites, and they want to know: Why does this happen and how can I replicate that effect? The reasons why are it sort of feeds back into that viral loop or the flywheel, which we’ve talked about in previous Whiteboard Fridays, where essentially you start with a piece of content. That content does well, and then you have things like more social followers on your brand’s accounts. So now next time you go to amplify content or share content socially, you’re reaching more potential people. You have a bigger audience. You have more people who share your content because they’ve seen that that content performs well for them in social. So they want to find other content from you that might help their social accounts perform well.

You see more RSS and email subscribers because people see your interesting content and go, “Hey, I want to see when these guys produce something else.” You see more branded search traffic because people are looking specifically for content from you, not necessarily just around this viral piece, although that’s often a big part of it, but around other pieces as well, especially if you do a good job of exposing them to that additional content. You get more bookmark and type in traffic, more searchers biased by personalization because they’ve already visited your site. So now when they search and they’re logged into their accounts, they’re going to see your site ranking higher than they normally would otherwise, and you get an organic SEO lift from all the links and shares and engagement.

So there’s a ton of different factors that feed into this, and you kind of want to hit all of these things. If you have a piece of content that gets a lot of shares, a lot of links, but then doesn’t promote engagement, doesn’t get more people signing up, doesn’t get more people searching for your brand or searching for that content specifically, then it’s not going to have the same impact. Your traffic might fall further and more quickly.

How do you achieve this?

How do we get content that’s going to do this? Well, we’re going to talk through a number of things that we’ve talked about previously on Whiteboard Friday. But there are some additional ones as well. This isn’t just creating good content or creating high quality content, it’s creating a particular kind of content. So for this what you want is a deep understanding, not necessarily of what your standard users or standard customers are interested in, but a deep understanding of what influencers in your niche will share and promote and why they do that.

This often means that you follow a lot of sharers and influencers in your field, and you understand, hey, they’re all sharing X piece of content. Why? Oh, because it does this, because it makes them look good, because it helps their authority in the field, because it provides a lot of value to their followers, because they know it’s going to get a lot of retweets and shares and traffic. Whatever that because is, you have to have a deep understanding of it in order to have success with viral kinds of content.

Next, you want to have empathy for users and what will give them the best possible experience. So if you know, for example, that a lot of people are coming on mobile and are going to be sharing on mobile, which is true of almost all viral content today, FYI, you need to be providing a great mobile and desktop experience. Oftentimes that mobile experience has to be different, not just responsive design, but actually a different format, a different way of being able to scroll through or watch or see or experience that content.

There are some good examples out there of content that does that. It makes a very different user experience based on the browser or the device you’re using.

You also need to be aware of what will turn them off. So promotional messages, pop-ups, trying to sell to them, oftentimes that diminishes user experience. It means that content that could have been more viral, that could have gotten more shares won’t.

Unique value and attributes that separate your content from everything else in the field. So if there’s like ABCD and whoa, what’s that? That’s very unique. That stands out from the crowd. That provides a different form of value in a different way than what everyone else is doing. That uniqueness is often a big reason why content spreads virally, why it gets more shared than just the normal stuff.

I’ve talk about this a number of times, but content that’s 10X better than what the competition provides. So unique value from the competition, but also quality that is not just a step up, but 10X better, massively, massively better than what else you can get out there. That makes it unique enough. That makes it stand out from the crowd, and that’s a very hard thing to do, but that’s why this is so rare and so valuable.

This is a critical one, and I think one that, I’ll just say, many organizations fail at. That is the freedom and support to fail many times, to try to create these types of effects, to have this impact many times before you hit on a success. A lot of managers and clients and teams and execs just don’t give marketing teams and content teams the freedom to say, “Yeah, you know what? You spent a month and developer resources and designer resources and spent some money to go do some research and contracted with this third party, and it wasn’t a hit. It didn’t work. We didn’t get the viral content bump. It just kind of did okay. You know what? We believe in you. You’ve got a lot of chances. You should try this another 9 or 10 times before we throw it out. We really want to have a success here.”

That is something that very few teams invest in. The powerful thing is because so few people are willing to invest that way, the ones that do, the ones that believe in this, the ones that invest long term, the ones that are willing to take those failures are going to have a much better shot at success, and they can stand out from the crowd. They can get these bumps. It’s powerful.

Not a requirement, but it really, really helps to have a strong engaged community, either on your site and around your brand, or at least in your niche and your topic area that will help, that wants to see you, your brand, your content succeed. If you’re in a space that has no community, I would work on building one, even if it’s very small. We’re not talking about building a community of thousands or tens of thousands. A community of 100 people, a community of 50 people even can be powerful enough to help content get that catalyst, that first bump that’ll boost it into viral potential.

Then finally, for this type of content, you need to have a logical and not overly promotional match between your brand and the content itself. You can see many sites in what I call sketchy niches. So like a criminal law site or a casino site or a pharmaceutical site that’s offering like an interactive musical experience widget, and you’re like, “Why in the world is this brand promoting this content? Why did they even make it? How does that match up with what they do? Oh, it’s clearly just intentionally promotional.”

Look, many of these brands go out there and they say, “Hey, the average web user doesn’t know and doesn’t care.” I agree. But the average web user is not an influencer. Influencers know. Well, they’re very, very suspicious of why content is being produced and promoted, and they’re very skeptical of promoting content that they don’t think is altruistic. So this kills a lot of content for brands that try and invest in it when there’s no match. So I think you really need that.

Now, when you do these linkbait bump kinds of things, I would strongly recommend that you follow up, that you consider the quality of the content that you’re producing. Thereafter, that you invest in reproducing these resources, keeping those resources updated, and that you don’t simply give up on content production after this. However, if you’re a small business site, a small or medium business, you might think about only doing one or two of these a year. If you are a heavy content player, you’re doing a lot of content marketing, content marketing is how you’re investing in web traffic, I’d probably be considering these weekly or monthly at the least.

All right, everyone. Look forward to your experiences with the linkbait bump, and I will see you again next week for another edition of Whiteboard Friday. Take care.

Video transcription by Speechpad.com

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​The 2015 Online Marketing Industry Survey

Posted by Dr-Pete

It’s been another wild year in search marketing. Mobilegeddon crushed our Twitter streams, but not our dreams, and Matt Cutts stepped out of the spotlight to make way for an uncertain Google future. Pandas and Penguins continue to torment us, but most days, like anyone else, we were just trying to get the job done and earn a living.

This year, over 3,600 brave souls, each one more intelligent and good-looking than the last, completed our survey. While the last survey was technically “2014”, we collected data for it in late 2013, so the 2015 survey reflects about 18 months of industry changes.

A few highlights

Let’s dig in. Almost half (49%) of our 2015 respondents involved in search marketing were in-house marketers. In-house teams still tend to be small – 71% of our in-house marketers reported only 1-3 people in their company being involved in search marketing at least quarter-time. These teams do have substantial influence, though, with 86% reporting that they were involved in purchasing decisions.

Agency search marketers reported larger teams and more diverse responsibilities. More than one-third (36%) of agency marketers in our survey reported working with more than 20 clients in the previous year. Agencies covered a wide range of services, with the top 5 being:

More than four-fifths (81%) of agency respondents reported providing both SEO and SEM services for clients. Please note that respondents could select more than one service/tool/etc., so the charts in this post will not add up to 100%.

The vast majority of respondents (85%) reported being directly involved with content marketing, which was on par with 2014. Nearly two-thirds (66%) of agency content marketers reported “Content for SEO purposes” as their top activity, although “Building Content Strategy” came in a solid second at 44% of respondents.

Top tools

Where do we get such wonderful toys? We marketers love our tools, so let’s take a look at the Top 10 tools across a range of categories. Please note that this survey was conducted here on Moz, and our audience certainly has a pro-Moz slant.

Up first, here are the Top 10 SEO tools in our survey:

Just like last time, Google Webmaster Tools (now “Search Console”) leads the way. Moz Pro and Majestic slipped a little bit, and Firebug fell out of the Top 10. The core players remained fairly stable.

Here are the Top 10 Content tools in our survey:

Even with its uncertain future, Google Alerts continues to be widely used. There are a lot of newcomers to the content tools world, so year-over-year comparisons are tricky. Expect even more players in this market in the coming year.

Following are our respondents’ Top 10 analytics tools:

For an industry that complains about Google so much, we sure do seem to love their stuff. Google Analytics dominates, crushing the enterprise players, at least in the mid-market. KISSmetrics gained solid ground (from the #10 spot last time), while home-brewed tools slipped a bit. CrazyEgg and WordPress Stats remain very popular since our last survey.

Finally, here are the Top 10 social tools used by our respondents:

Facebook Insights and Hootsuite retained the top spots from last year, but newcomer Twitter Analytics rocketed into the #3 position. LinkedIn Insights emerged as a strong contender, too. Overall usage of all social tools increased. Tweetdeck held the #6 spot in 2014, with 19% usage, but dropped to #10 this year, even bumping up slightly to 20%.

Of course, digging into social tools naturally begs the question of which social networks are at the top of our lists.

The Top 6 are unchanged since our last survey, and it’s clear that the barriers to entry to compete with the big social networks are only getting higher. Instagram doubled its usage (from 11% of respondents last time), but this still wasn’t enough to overtake Pinterest. Reddit and Quora saw steady growth, and StumbleUpon slipped out of the Top 10.

Top activities

So, what exactly do we do with these tools and all of our time? Across all online marketers in our survey, the Top 5 activities were:

For in-house marketers, “Site Audits” dropped to the #6 position and “Brand Strategy” jumped up to the #3 spot. Naturally, in-house marketers have more resources to focus on strategy.

For agencies and consultants, “Site Audits” bumped up to #2, and “Managing People” pushed down social media to take the #5 position. Larger agency teams require more traditional people wrangling.

Here’s a much more detailed breakdown of how we spend our time in 2015:

In terms of overall demand for services, the Top 5 winners (calculated by % reporting increase – % reporting decrease were):

Demand for CRO is growing at a steady clip, but analytics still leads the way. Both “Content Creation” (#2) and “Content Curation” (#6) showed solid demand increases.

Some categories reported both gains and losses – 30% of respondents reported increased demand for “Link Building”, while 20% reported decreased demand. Similarly, 20% reported increased demand for “Link Removal”, while almost as many (17%) reported decreased demand. This may be a result of overall demand shifts, or it may represent more specialization by agencies and consultants.

What’s in store for 2016?

It’s clear that our job as online marketers is becoming more diverse, more challenging, and more strategic. We have to have a command of a wide array of tools and tactics, and that’s not going to slow down any time soon. On the bright side, companies are more aware of what we do, and they’re more willing to spend the money to have it done. Our evolution has barely begun as an industry, and you can expect more changes and growth in the coming year.

Raw data download

If you’d like to take a look through the raw results from this year’s survey (we’ve removed identifying information like email addresses from all responses), we’ve got that for you here:

Download the raw results

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UX, Content Quality, and SEO – Whiteboard Friday

Posted by EricEnge

Editor’s note: Today we’re featuring back-to-back episodes of Whiteboard Friday from our friends at Stone Temple Consulting. Make sure to also check out the first episode, “Becoming Better SEO Scientists” from Mark Traphagen.

User experience and the quality of your content have an incredibly broad impact on your SEO efforts. In this episode of Whiteboard Friday, Stone Temple’s Eric Enge shows you how paying attention to your users can benefit your position in the SERPs.

For reference, here’s a still of this week’s whiteboard.
Click on it to open a high resolution image in a new tab!

Video transcription

Hi, Mozzers. I’m Eric Enge, CEO of Stone Temple Consulting. Today I want to talk to you about one of the most underappreciated aspects of SEO, and that is the interaction between user experience, content quality, and your SEO rankings and traffic.

I’m going to take you through a little history first. You know, we all know about the Panda algorithm update that came out in February 23, 2011, and of course more recently we have the search quality update that came out in May 19, 2015. Our Panda friend had 27 different updates that we know of along the way. So a lot of stuff has gone on, but we need to realize that that is not where it all started.

The link algorithm from the very beginning was about search quality. Links allowed Google to have an algorithm that gave better results than the other search engines of their day, which were dependent on keywords. These things however, that I’ve just talked about, are still just the tip of the iceberg. Google goes a lot deeper than that, and I want to walk you through the different things that it does.

So consider for a moment, you have someone search on the phrase “men’s shoes” and they come to your website.

What is that they want when they come to your website? Do they want sneakers, sandals, dress shoes? Well, those are sort of the obvious things that they might want. But you need to think a little bit more about what the user really wants to be able to know before they buy from you.

First of all, there has to be a way to buy. By the way, affiliate sites don’t have ways to buy. So the line of thinking I’m talking about might not work out so well for affiliate sites and works better for people who can actually sell the product directly. But in addition to a way to buy, they might want a privacy policy. They might want to see an About Us page. They might want to be able to see your phone number. These are all different kinds of things that users look for when they arrive on the pages of your site.

So as we think about this, what is it that we can do to do a better job with our websites? Well, first of all, lose the focus on keywords. Don’t get me wrong, keywords haven’t gone entirely away. But the pages where we overemphasize one particular keyword over another or related phrases are long gone, and you need to have a broader focus on how you approach things.

User experience is now a big deal. You really need to think about how users are interacting with your page and how that shows your overall page quality. Think about the percent satisfaction. If I send a hundred users to your page from my search engine, how many of those users are going to be happy with the content or the products or everything that they see with your page? You need to think through the big picture. So at the end of the day, this impacts the content on your page to be sure, but a lot more than that it impacts the design, related items that you have on the page.

So let me just give you an example of that. I looked at one page recently that was for a flower site. It was a page about annuals on that site, and that page had no link to their perennials page. Well, okay, a fairly good percentage of people who arrive on a page about annuals are also going to want to have perennials as something they might consider buying. So that page was probably coming across as a poor user experience. So these related items concepts are incredibly important.

Then the links to your page is actually a way to get to some of those related items, and so those are really important as well. What are the related products that you link to?

Finally, really it impacts everything you do with your page design. You need to move past the old-fashioned way of thinking about SEO and into the era of: How am I doing with satisfying all the people who come to the pages of your site?

Thank you, Mozzers. Have a great day.

Video transcription by Speechpad.com

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Big Data, Big Problems: 4 Major Link Indexes Compared

Posted by russangular

Given this blog’s readership, chances are good you will spend some time this week looking at backlinks in one of the growing number of link data tools. We know backlinks continue to be one of, if not the most important
parts of Google’s ranking algorithm. We tend to take these link data sets at face value, though, in part because they are all we have. But when your rankings are on the line, is there a better way to get at which data set is the best? How should we go
about assessing these different link indexes like
Moz,
Majestic, Ahrefs and SEMrush for quality? Historically, there have been 4 common approaches to this question of index quality…

  • Breadth: We might choose to look at the number of linking root domains any given service reports. We know
    that referring domains correlates strongly with search rankings, so it makes sense to judge a link index by how many unique domains it has
    discovered and indexed.
  • Depth: We also might choose to look at how deep the web has been crawled, looking more at the total number of URLs
    in the index, rather than the diversity of referring domains.
  • Link Overlap: A more sophisticated approach might count the number of links an index has in common with Google Webmaster
    Tools.
  • Freshness: Finally, we might choose to look at the freshness of the index. What percentage of links in the index are
    still live?

There are a number of really good studies (some newer than others) using these techniques that are worth checking out when you get a chance:

  • BuiltVisible analysis of Moz, Majestic, GWT, Ahrefs and Search Metrics
  • SEOBook comparison of Moz, Majestic, Ahrefs, and Ayima
  • MatthewWoodward
    study of Ahrefs, Majestic, Moz, Raven and SEO Spyglass
  • Marketing Signals analysis of Moz, Majestic, Ahrefs, and GWT
  • RankAbove comparison of Moz, Majestic, Ahrefs and Link Research Tools
  • StoneTemple study of Moz and Majestic

While these are all excellent at addressing the methodologies above, there is a particular limitation with all of them. They miss one of the
most important metrics we need to determine the value of a link index: proportional representation to Google’s link graph
. So here at Angular Marketing, we decided to take a closer look.

Proportional representation to Google Search Console data

So, why is it important to determine proportional representation? Many of the most important and valued metrics we use are built on proportional
models. PageRank, MozRank, CitationFlow and Ahrefs Rank are proportional in nature. The score of any one URL in the data set is relative to the
other URLs in the data set. If the data set is biased, the results are biased.

A Visualization

Link graphs are biased by their crawl prioritization. Because there is no full representation of the Internet, every link graph, even Google’s,
is a biased sample of the web. Imagine for a second that the picture below is of the web. Each dot represents a page on the Internet,
and the dots surrounded by green represent a fictitious index by Google of certain sections of the web.

Of course, Google isn’t the only organization that crawls the web. Other organizations like Moz,
Majestic, Ahrefs, and SEMrush
have their own crawl prioritizations which result in different link indexes.

In the example above, you can see different link providers trying to index the web like Google. Link data provider 1 (purple) does a good job
of building a model that is similar to Google. It isn’t very big, but it is proportional. Link data provider 2 (blue) has a much larger index,
and likely has more links in common with Google that link data provider 1, but it is highly disproportional. So, how would we go about measuring
this proportionality? And which data set is the most proportional to Google?

Methodology

The first step is to determine a measurement of relativity for analysis. Google doesn’t give us very much information about their link graph.
All we have is what is in Google Search Console. The best source we can use is referring domain counts. In particular, we want to look at
what we call
referring domain link pairs. A referring domain link pair would be something like ask.com->mlb.com: 9,444 which means
that ask.com links to mlb.com 9,444 times.

Steps

  1. Determine the root linking domain pairs and values to 100+ sites in Google Search Console
  2. Determine the same for Ahrefs, Moz, Majestic Fresh, Majestic Historic, SEMrush
  3. Compare the referring domain link pairs of each data set to Google, assuming a
    Poisson Distribution
  4. Run simulations of each data set’s performance against each other (ie: Moz vs Maj, Ahrefs vs SEMrush, Moz vs SEMrush, et al.)
  5. Analyze the results

Results

When placed head-to-head, there seem to be some clear winners at first glance. In head-to-head, Moz edges out Ahrefs, but across the board, Moz and Ahrefs fare quite evenly. Moz, Ahrefs and SEMrush seem to be far better than Majestic Fresh and Majestic Historic. Is that really the case? And why?

It turns out there is an inversely proportional relationship between index size and proportional relevancy. This might seem counterintuitive,
shouldn’t the bigger indexes be closer to Google? Not Exactly.

What does this mean?

Each organization has to create a crawl prioritization strategy. When you discover millions of links, you have to prioritize which ones you
might crawl next. Google has a crawl prioritization, so does Moz, Majestic, Ahrefs and SEMrush. There are lots of different things you might
choose to prioritize…

  • You might prioritize link discovery. If you want to build a very large index, you could prioritize crawling pages on sites that
    have historically provided new links.
  • You might prioritize content uniqueness. If you want to build a search engine, you might prioritize finding pages that are unlike
    any you have seen before. You could choose to crawl domains that historically provide unique data and little duplicate content.
  • You might prioritize content freshness. If you want to keep your search engine recent, you might prioritize crawling pages that
    change frequently.
  • You might prioritize content value, crawling the most important URLs first based on the number of inbound links to that page.

Chances are, an organization’s crawl priority will blend some of these features, but it’s difficult to design one exactly like Google. Imagine
for a moment that instead of crawling the web, you want to climb a tree. You have to come up with a tree climbing strategy.

  • You decide to climb the longest branch you see at each intersection.
  • One friend of yours decides to climb the first new branch he reaches, regardless of how long it is.
  • Your other friend decides to climb the first new branch she reaches only if she sees another branch coming off of it.

Despite having different climb strategies, everyone chooses the same first branch, and everyone chooses the same second branch. There are only
so many different options early on.

But as the climbers go further and further along, their choices eventually produce differing results. This is exactly the same for web crawlers
like Google, Moz, Majestic, Ahrefs and SEMrush. The bigger the crawl, the more the crawl prioritization will cause disparities. This is not a
deficiency; this is just the nature of the beast. However, we aren’t completely lost. Once we know how index size is related to disparity, we
can make some inferences about how similar a crawl priority may be to Google.

Unfortunately, we have to be careful in our conclusions. We only have a few data points with which to work, so it is very difficult to be
certain regarding this part of the analysis. In particular, it seems strange that Majestic would get better relative to its index size as it grows,
unless Google holds on to old data (which might be an important discovery in and of itself). It is most likely that at this point we can’t make
this level of conclusion.

So what do we do?

Let’s say you have a list of domains or URLs for which you would like to know their relative values. Your process might look something like
this…

  • Check Open Site Explorer to see if all URLs are in their index. If so, you are looking metrics most likely to be proportional to Google’s link graph.
  • If any of the links do not occur in the index, move to Ahrefs and use their Ahrefs ranking if all you need is a single PageRank-like metric.
  • If any of the links are missing from Ahrefs’s index, or you need something related to trust, move on to Majestic Fresh.
  • Finally, use Majestic Historic for (by leaps and bounds) the largest coverage available.

It is important to point out that the likelihood that all the URLs you want to check are in a single index increases as the accuracy of the metric
decreases. Considering the size of Majestic’s data, you can’t ignore them because you are less likely to get null value answers from their data than
the others. If anything rings true, it is that once again it makes sense to get data
from as many sources as possible. You won’t
get the most proportional data without Moz, the broadest data without Majestic, or everything in-between without Ahrefs.

What about SEMrush? They are making progress, but they don’t publish any relative statistics that would be useful in this particular
case. Maybe we can hope to see more from them soon given their already promising index!

Recommendations for the link graphing industry

All we hear about these days is big data; we almost never hear about good data. I know that the teams at Moz,
Majestic, Ahrefs, SEMrush and others are interested in mimicking Google, but I would love to see some organization stand up against the
allure of
more data in favor of better data—data more like Google’s. It could begin with testing various crawl strategies to see if they produce
a result more similar to that of data shared in Google Search Console. Having the most Google-like data is certainly a crown worth winning.

Credits

Thanks to Diana Carter at Angular for assistance with data acquisition and Andrew Cron with statistical analysis. Thanks also to the representatives from Moz, Majestic, Ahrefs, and SEMrush for answering questions about their indices.

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Reblogged 4 years ago from tracking.feedpress.it