Is Australia the land of opportunity for your retail brand?

Australia has a resident population of more than 24 million and, according to eMarketer, the country’s ecommerce sales are predicted to reach A$32.56 billion by 2017. The country’s remote location in the APAC region means that unlike European countries or the USA, traditionally there have been a lack of global brands sold locally.

Of course, we also know that many expatriates, particularly from inside the Commonwealth, have made Australia their home and are keen to buy products they know and love from their country of origin.

All of these factors present a huge and potentially lucrative opportunity for non-Australian brands wanting to open up their new and innovative products to a fresh market, or compete for market share.

But it’s not just non-Australian retailers who are at an advantage here: Australia was late to the ecommerce party because native, established brands were trading well without it. Subsequently, Australian retailers’ ecommerce technology stacks are much more recent and not burdened by legacy systems. This makes it much easier to extend, or get started with, best-of-breed technologies and cash in on a market that’s booming. To put some of this into perspective, Magento’s innovative ecommerce platform currently takes 42% of Australia’s market share and the world’s first adopter of Magento 2.0 was an Australian brand.

The GST loophole

At the moment, local retailers are campaigning against a rule that exempts foreign websites from being charged a 10% general sales tax (GST) on purchases under A$1,000. And in 2013, Australian consumers made $3.11 billion worth of purchases under A$1,000.[1]

While the current GST break appears to put non-Australian retailers at an advantage, Australian-based brands such as Harvey Norman are using it to their advantage by setting up ecommerce operations in Asia to enjoy the GST benefit.

Australian consumers have also countered the argument by saying that price isn’t always the motivator when it comes to making purchasing decisions.

It’s not a place where no man has gone before

Often, concerns around meeting local compliance and lack of overseas business knowledge prevent outsiders from taking the leap into cross-border trade. However, this ecommerce passport, created by Ecommerce Worldwide and NORA, is designed to support those considering selling in Australia. The guide provides a comprehensive look into everything from the country’s economy and trade status, to logistics and dealing with international payments.

Global expansion success stories are also invaluable sources of information. For instance, it’s not just lower-end retailers that are fitting the bill, with brands like online luxury fashion retailer Net-a-Porter naming Australia as one of its biggest markets.

How tech-savvy are the Aussies?

One of the concerns you might have as a new entrant into the market is how you’ll reach and sell to your new audience, particularly without having a physical presence. The good news is that more than 80% of the country is digitally enabled and 60% of mobile phone users own a smartphone – so online is deeply rooted into the majority of Australians’ lives. [2]

Marketing your brand

Heard the saying “Fire bullets then fire cannonballs”? In any case, you’ll want to test the waters and gauge people’s reactions to your product or service.

It all starts with the website because, without it, you’re not discoverable or searchable, and you’ve nowhere to drive people to when running campaigns. SEO and SEM should definitely be a priority, and an online store that can handle multiple regions and storefronts, like Magento, will make your life easier. A mobile-first mentality and well thought-out UX will also place you in a good position.

Once your new web store is set up, you should be making every effort to collect visitors’ email addresses, perhaps via a popover. Why? Firstly, email is one of the top three priority areas for Australian retailers, because it’s a cost-effective, scalable marketing channel that enables true personalization.

Secondly, email marketing automation empowers you to deliver the customer experience today’s consumer expects, as well as enabling you to communicate with them throughout the lifecycle. Check out our ‘Do customer experience masters really exist?’ whitepaper for some real-life success stories.

Like the Magento platform, dotmailer is set up to handle multiple languages, regions and accounts, and is designed to grow with you.

In summary, there’s great scope for ecommerce success in Australia, whether you’re a native bricks-and-mortar retailer, a start-up or a non-Australian merchant. The barriers to cross-border trade are falling and Australia is one of APAC’s most developed regions in terms of purchasing power and tech savviness.

We recently worked with ecommerce expert Chloe Thomas to produce a whitepaper on cross-border trade, which goes into much more detail on how to market and sell successfully in new territories. You can download a free copy here.

[1] Australian Passport 2015: Cross-Border Trading Report

[2] Australian Passport 2015: Cross-Border Trading Report

Reblogged 3 years ago from blog.dotmailer.com

Why Effective, Modern SEO Requires Technical, Creative, and Strategic Thinking – Whiteboard Friday

Posted by randfish

There’s no doubt that quite a bit has changed about SEO, and that the field is far more integrated with other aspects of online marketing than it once was. In today’s Whiteboard Friday, Rand pushes back against the idea that effective modern SEO doesn’t require any technical expertise, outlining a fantastic list of technical elements that today’s SEOs need to know about in order to be truly effective.

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 I’m going to do something unusual. I don’t usually point out these inconsistencies or sort of take issue with other folks’ content on the web, because I generally find that that’s not all that valuable and useful. But I’m going to make an exception here.

There is an article by Jayson DeMers, who I think might actually be here in Seattle — maybe he and I can hang out at some point — called “Why Modern SEO Requires Almost No Technical Expertise.” It was an article that got a shocking amount of traction and attention. On Facebook, it has thousands of shares. On LinkedIn, it did really well. On Twitter, it got a bunch of attention.

Some folks in the SEO world have already pointed out some issues around this. But because of the increasing popularity of this article, and because I think there’s, like, this hopefulness from worlds outside of kind of the hardcore SEO world that are looking to this piece and going, “Look, this is great. We don’t have to be technical. We don’t have to worry about technical things in order to do SEO.”

Look, I completely get the appeal of that. I did want to point out some of the reasons why this is not so accurate. At the same time, I don’t want to rain on Jayson, because I think that it’s very possible he’s writing an article for Entrepreneur, maybe he has sort of a commitment to them. Maybe he had no idea that this article was going to spark so much attention and investment. He does make some good points. I think it’s just really the title and then some of the messages inside there that I take strong issue with, and so I wanted to bring those up.

First off, some of the good points he did bring up.

One, he wisely says, “You don’t need to know how to code or to write and read algorithms in order to do SEO.” I totally agree with that. If today you’re looking at SEO and you’re thinking, “Well, am I going to get more into this subject? Am I going to try investing in SEO? But I don’t even know HTML and CSS yet.”

Those are good skills to have, and they will help you in SEO, but you don’t need them. Jayson’s totally right. You don’t have to have them, and you can learn and pick up some of these things, and do searches, watch some Whiteboard Fridays, check out some guides, and pick up a lot of that stuff later on as you need it in your career. SEO doesn’t have that hard requirement.

And secondly, he makes an intelligent point that we’ve made many times here at Moz, which is that, broadly speaking, a better user experience is well correlated with better rankings.

You make a great website that delivers great user experience, that provides the answers to searchers’ questions and gives them extraordinarily good content, way better than what’s out there already in the search results, generally speaking you’re going to see happy searchers, and that’s going to lead to higher rankings.

But not entirely. There are a lot of other elements that go in here. So I’ll bring up some frustrating points around the piece as well.

First off, there’s no acknowledgment — and I find this a little disturbing — that the ability to read and write code, or even HTML and CSS, which I think are the basic place to start, is helpful or can take your SEO efforts to the next level. I think both of those things are true.

So being able to look at a web page, view source on it, or pull up Firebug in Firefox or something and diagnose what’s going on and then go, “Oh, that’s why Google is not able to see this content. That’s why we’re not ranking for this keyword or term, or why even when I enter this exact sentence in quotes into Google, which is on our page, this is why it’s not bringing it up. It’s because it’s loading it after the page from a remote file that Google can’t access.” These are technical things, and being able to see how that code is built, how it’s structured, and what’s going on there, very, very helpful.

Some coding knowledge also can take your SEO efforts even further. I mean, so many times, SEOs are stymied by the conversations that we have with our programmers and our developers and the technical staff on our teams. When we can have those conversations intelligently, because at least we understand the principles of how an if-then statement works, or what software engineering best practices are being used, or they can upload something into a GitHub repository, and we can take a look at it there, that kind of stuff is really helpful.

Secondly, I don’t like that the article overly reduces all of this information that we have about what we’ve learned about Google. So he mentions two sources. One is things that Google tells us, and others are SEO experiments. I think both of those are true. Although I’d add that there’s sort of a sixth sense of knowledge that we gain over time from looking at many, many search results and kind of having this feel for why things rank, and what might be wrong with a site, and getting really good at that using tools and data as well. There are people who can look at Open Site Explorer and then go, “Aha, I bet this is going to happen.” They can look, and 90% of the time they’re right.

So he boils this down to, one, write quality content, and two, reduce your bounce rate. Neither of those things are wrong. You should write quality content, although I’d argue there are lots of other forms of quality content that aren’t necessarily written — video, images and graphics, podcasts, lots of other stuff.

And secondly, that just doing those two things is not always enough. So you can see, like many, many folks look and go, “I have quality content. It has a low bounce rate. How come I don’t rank better?” Well, your competitors, they’re also going to have quality content with a low bounce rate. That’s not a very high bar.

Also, frustratingly, this really gets in my craw. I don’t think “write quality content” means anything. You tell me. When you hear that, to me that is a totally non-actionable, non-useful phrase that’s a piece of advice that is so generic as to be discardable. So I really wish that there was more substance behind that.

The article also makes, in my opinion, the totally inaccurate claim that modern SEO really is reduced to “the happier your users are when they visit your site, the higher you’re going to rank.”

Wow. Okay. Again, I think broadly these things are correlated. User happiness and rank is broadly correlated, but it’s not a one to one. This is not like a, “Oh, well, that’s a 1.0 correlation.”

I would guess that the correlation is probably closer to like the page authority range. I bet it’s like 0.35 or something correlation. If you were to actually measure this broadly across the web and say like, “Hey, were you happier with result one, two, three, four, or five,” the ordering would not be perfect at all. It probably wouldn’t even be close.

There’s a ton of reasons why sometimes someone who ranks on Page 2 or Page 3 or doesn’t rank at all for a query is doing a better piece of content than the person who does rank well or ranks on Page 1, Position 1.

Then the article suggests five and sort of a half steps to successful modern SEO, which I think is a really incomplete list. So Jayson gives us;

  • Good on-site experience
  • Writing good content
  • Getting others to acknowledge you as an authority
  • Rising in social popularity
  • Earning local relevance
  • Dealing with modern CMS systems (which he notes most modern CMS systems are SEO-friendly)

The thing is there’s nothing actually wrong with any of these. They’re all, generally speaking, correct, either directly or indirectly related to SEO. The one about local relevance, I have some issue with, because he doesn’t note that there’s a separate algorithm for sort of how local SEO is done and how Google ranks local sites in maps and in their local search results. Also not noted is that rising in social popularity won’t necessarily directly help your SEO, although it can have indirect and positive benefits.

I feel like this list is super incomplete. Okay, I brainstormed just off the top of my head in the 10 minutes before we filmed this video a list. The list was so long that, as you can see, I filled up the whole whiteboard and then didn’t have any more room. I’m not going to bother to erase and go try and be absolutely complete.

But there’s a huge, huge number of things that are important, critically important for technical SEO. If you don’t know how to do these things, you are sunk in many cases. You can’t be an effective SEO analyst, or consultant, or in-house team member, because you simply can’t diagnose the potential problems, rectify those potential problems, identify strategies that your competitors are using, be able to diagnose a traffic gain or loss. You have to have these skills in order to do that.

I’ll run through these quickly, but really the idea is just that this list is so huge and so long that I think it’s very, very, very wrong to say technical SEO is behind us. I almost feel like the opposite is true.

We have to be able to understand things like;

  • Content rendering and indexability
  • Crawl structure, internal links, JavaScript, Ajax. If something’s post-loading after the page and Google’s not able to index it, or there are links that are accessible via JavaScript or Ajax, maybe Google can’t necessarily see those or isn’t crawling them as effectively, or is crawling them, but isn’t assigning them as much link weight as they might be assigning other stuff, and you’ve made it tough to link to them externally, and so they can’t crawl it.
  • Disabling crawling and/or indexing of thin or incomplete or non-search-targeted content. We have a bunch of search results pages. Should we use rel=prev/next? Should we robots.txt those out? Should we disallow from crawling with meta robots? Should we rel=canonical them to other pages? Should we exclude them via the protocols inside Google Webmaster Tools, which is now Google Search Console?
  • Managing redirects, domain migrations, content updates. A new piece of content comes out, replacing an old piece of content, what do we do with that old piece of content? What’s the best practice? It varies by different things. We have a whole Whiteboard Friday about the different things that you could do with that. What about a big redirect or a domain migration? You buy another company and you’re redirecting their site to your site. You have to understand things about subdomain structures versus subfolders, which, again, we’ve done another Whiteboard Friday about that.
  • Proper error codes, downtime procedures, and not found pages. If your 404 pages turn out to all be 200 pages, well, now you’ve made a big error there, and Google could be crawling tons of 404 pages that they think are real pages, because you’ve made it a status code 200, or you’ve used a 404 code when you should have used a 410, which is a permanently removed, to be able to get it completely out of the indexes, as opposed to having Google revisit it and keep it in the index.

Downtime procedures. So there’s specifically a… I can’t even remember. It’s a 5xx code that you can use. Maybe it was a 503 or something that you can use that’s like, “Revisit later. We’re having some downtime right now.” Google urges you to use that specific code rather than using a 404, which tells them, “This page is now an error.”

Disney had that problem a while ago, if you guys remember, where they 404ed all their pages during an hour of downtime, and then their homepage, when you searched for Disney World, was, like, “Not found.” Oh, jeez, Disney World, not so good.

  • International and multi-language targeting issues. I won’t go into that. But you have to know the protocols there. Duplicate content, syndication, scrapers. How do we handle all that? Somebody else wants to take our content, put it on their site, what should we do? Someone’s scraping our content. What can we do? We have duplicate content on our own site. What should we do?
  • Diagnosing traffic drops via analytics and metrics. Being able to look at a rankings report, being able to look at analytics connecting those up and trying to see: Why did we go up or down? Did we have less pages being indexed, more pages being indexed, more pages getting traffic less, more keywords less?
  • Understanding advanced search parameters. Today, just today, I was checking out the related parameter in Google, which is fascinating for most sites. Well, for Moz, weirdly, related:oursite.com shows nothing. But for virtually every other sit, well, most other sites on the web, it does show some really interesting data, and you can see how Google is connecting up, essentially, intentions and topics from different sites and pages, which can be fascinating, could expose opportunities for links, could expose understanding of how they view your site versus your competition or who they think your competition is.

Then there are tons of parameters, like in URL and in anchor, and da, da, da, da. In anchor doesn’t work anymore, never mind about that one.

I have to go faster, because we’re just going to run out of these. Like, come on. Interpreting and leveraging data in Google Search Console. If you don’t know how to use that, Google could be telling you, you have all sorts of errors, and you don’t know what they are.

  • Leveraging topic modeling and extraction. Using all these cool tools that are coming out for better keyword research and better on-page targeting. I talked about a couple of those at MozCon, like MonkeyLearn. There’s the new Moz Context API, which will be coming out soon, around that. There’s the Alchemy API, which a lot of folks really like and use.
  • Identifying and extracting opportunities based on site crawls. You run a Screaming Frog crawl on your site and you’re going, “Oh, here’s all these problems and issues.” If you don’t have these technical skills, you can’t diagnose that. You can’t figure out what’s wrong. You can’t figure out what needs fixing, what needs addressing.
  • Using rich snippet format to stand out in the SERPs. This is just getting a better click-through rate, which can seriously help your site and obviously your traffic.
  • Applying Google-supported protocols like rel=canonical, meta description, rel=prev/next, hreflang, robots.txt, meta robots, x robots, NOODP, XML sitemaps, rel=nofollow. The list goes on and on and on. If you’re not technical, you don’t know what those are, you think you just need to write good content and lower your bounce rate, it’s not going to work.
  • Using APIs from services like AdWords or MozScape, or hrefs from Majestic, or SEM refs from SearchScape or Alchemy API. Those APIs can have powerful things that they can do for your site. There are some powerful problems they could help you solve if you know how to use them. It’s actually not that hard to write something, even inside a Google Doc or Excel, to pull from an API and get some data in there. There’s a bunch of good tutorials out there. Richard Baxter has one, Annie Cushing has one, I think Distilled has some. So really cool stuff there.
  • Diagnosing page load speed issues, which goes right to what Jayson was talking about. You need that fast-loading page. Well, if you don’t have any technical skills, you can’t figure out why your page might not be loading quickly.
  • Diagnosing mobile friendliness issues
  • Advising app developers on the new protocols around App deep linking, so that you can get the content from your mobile apps into the web search results on mobile devices. Awesome. Super powerful. Potentially crazy powerful, as mobile search is becoming bigger than desktop.

Okay, I’m going to take a deep breath and relax. I don’t know Jayson’s intention, and in fact, if he were in this room, he’d be like, “No, I totally agree with all those things. I wrote the article in a rush. I had no idea it was going to be big. I was just trying to make the broader points around you don’t have to be a coder in order to do SEO.” That’s completely fine.

So I’m not going to try and rain criticism down on him. But I think if you’re reading that article, or you’re seeing it in your feed, or your clients are, or your boss is, or other folks are in your world, maybe you can point them to this Whiteboard Friday and let them know, no, that’s not quite right. There’s a ton of technical SEO that is required in 2015 and will be for years to come, I think, that SEOs have to have in order to be effective at their jobs.

All right, everyone. Look forward to some great comments, and we’ll see you again next time for another edition of Whiteboard Friday. Take care.

Video transcription by Speechpad.com

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Reblogged 4 years ago from tracking.feedpress.it

Becoming Better SEO Scientists – Whiteboard Friday

Posted by MarkTraphagen

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 second episode, “UX, Content Quality, and SEO” from Eric Enge.

Like many other areas of marketing, SEO incorporates elements of science. It becomes problematic for everyone, though, when theories that haven’t been the subject of real scientific rigor are passed off as proven facts. In today’s Whiteboard Friday, Stone Temple Consulting’s Mark Traphagen is here to teach us a thing or two about the scientific method and how it can be applied to our day-to-day work.

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, Mozzers. Mark Traphagen from Stone Temple Consulting here today to share with you how to become a better SEO scientist. We know that SEO is a science in a lot of ways, and everything I’m going to say today applies not only to SEO, but testing things like your AdWords, how does that work, quality scores. There’s a lot of different applications you can make in marketing, but we’ll focus on the SEO world because that’s where we do a lot of testing. What I want to talk to you about today is how that really is a science and how we need to bring better science in it to get better results.

The reason is in astrophysics, things like that we know there’s something that they’re talking about these days called dark matter, and dark matter is something that we know it’s there. It’s pretty much accepted that it’s there. We can’t see it. We can’t measure it directly. We don’t even know what it is. We can’t even imagine what it is yet, and yet we know it’s there because we see its effect on things like gravity and mass. Its effects are everywhere. And that’s a lot like search engines, isn’t it? It’s like Google or Bing. We see the effects, but we don’t see inside the machine. We don’t know exactly what’s happening in there.

An artist’s depiction of how search engines work.

So what do we do? We do experiments. We do tests to try to figure that out, to see the effects, and from the effects outside we can make better guesses about what’s going on inside and do a better job of giving those search engines what they need to connect us with our customers and prospects. That’s the goal in the end.

Now, the problem is there’s a lot of testing going on out there, a lot of experiments that maybe aren’t being run very well. They’re not being run according to scientific principles that have been proven over centuries to get the best possible results.

Basic data science in 10 steps

So today I want to give you just very quickly 10 basic things that a real scientist goes through on their way to trying to give you better data. Let’s see what we can do with those in our SEO testing in the future.

So let’s start with number one. You’ve got to start with a hypothesis. Your hypothesis is the question that you want to solve. You always start with that, a good question in mind, and it’s got to be relatively narrow. You’ve got to narrow it down to something very specific. Something like how does time on page effect rankings, that’s pretty narrow. That’s very specific. That’s a good question. Might be able to test that. But something like how do social signals effect rankings, that’s too broad. You’ve got to narrow it down. Get it down to one simple question.

Then you choose a variable that you’re going to test. Out of all the things that you could do, that you could play with or you could tweak, you should choose one thing or at least a very few things that you’re going to tweak and say, “When we tweak this, when we change this, when we do this one thing, what happens? Does it change anything out there in the world that we are looking at?” That’s the variable.

The next step is to set a sample group. Where are you going to gather the data from? Where is it going to come from? That’s the world that you’re working in here. Out of all the possible data that’s out there, where are you going to gather your data and how much? That’s the small circle within the big circle. Now even though it’s smaller, you’re probably not going to get all the data in the world. You’re not going to scrape every search ranking that’s possible or visit every URL.

You’ve got to ask yourself, “Is it large enough that we’re at least going to get some validity?” If I wanted to find out what is the typical person in Seattle and I might walk through just one part of the Moz offices here, I’d get some kind of view. But is that a typical, average person from Seattle? I’ve been around here at Moz. Probably not. But this was large enough.

Also, it should be randomized as much as possible. Again, going back to that example, if I just stayed here within the walls of Moz and do research about Mozzers, I’d learn a lot about what Mozzers do, what Mozzers think, how they behave. But that may or may not be applicable to the larger world outside, so you randomized.

We want to control. So we’ve got our sample group. If possible, it’s always good to have another sample group that you don’t do anything to. You do not manipulate the variable in that group. Now, why do you have that? You have that so that you can say, to some extent, if we saw a change when we manipulated our variable and we did not see it in the control group, the same thing didn’t happen, more likely it’s not just part of the natural things that happen in the world or in the search engine.

If possible, even better you want to make that what scientists call double blind, which means that even you the experimenter don’t know who that control group is out of all the SERPs that you’re looking at or whatever it is. As careful as you might be and honest as you might be, you can end up manipulating the results if you know who is who within the test group? It’s not going to apply to every test that we do in SEO, but a good thing to have in mind as you work on that.

Next, very quickly, duration. How long does it have to be? Is there sufficient time? If you’re just testing like if I share a URL to Google +, how quickly does it get indexed in the SERPs, you might only need a day on that because typically it takes less than a day in that case. But if you’re looking at seasonality effects, you might need to go over several years to get a good test on that.

Let’s move to the second group here. The sixth thing keep a clean lab. Now what that means is try as much as possible to keep anything that might be dirtying your results, any kind of variables creeping in that you didn’t want to have in the test. Hard to do, especially in what we’re testing, but do the best you can to keep out the dirt.

Manipulate only one variable. Out of all the things that you could tweak or change choose one thing or a very small set of things. That will give more accuracy to your test. The more variables that you change, the more other effects and inner effects that are going to happen that you may not be accounting for and are going to muddy your results.

Make sure you have statistical validity when you go to analyze those results. Now that’s beyond the scope of this little talk, but you can read up on that. Or even better, if you are able to, hire somebody or work with somebody who is a trained data scientist or has training in statistics so they can look at your evaluation and say the correlations or whatever you’re seeing, “Does it have a statistical significance?” Very important.

Transparency. As much as possible, share with the world your data set, your full results, your methodology. What did you do? How did you set up the study? That’s going to be important to our last step here, which is replication and falsification, one of the most important parts of any scientific process.

So what you want to invite is, hey we did this study. We did this test. Here’s what we found. Here’s how we did it. Here’s the data. If other people ask the same question again and run the same kind of test, do they get the same results? Somebody runs it again, do they get the same results? Even better, if you have some people out there who say, “I don’t think you’re right about that because I think you missed this, and I’m going to throw this in and see what happens,” aha they falsify. That might make you feel like you failed, but it’s success because in the end what are we after? We’re after the truth about what really works.

Think about your next test, your next experiment that you do. How can you apply these 10 principles to do better testing, get better results, and have better marketing? Thanks.

Video transcription by Speechpad.com

Sign up for The Moz Top 10, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. Think of it as your exclusive digest of stuff you don’t have time to hunt down but want to read!

Reblogged 4 years ago from tracking.feedpress.it

Why We Can’t Do Keyword Research Like It’s 2010 – Whiteboard Friday

Posted by randfish

Keyword Research is a very different field than it was just five years ago, and if we don’t keep up with the times we might end up doing more harm than good. From the research itself to the selection and targeting process, in today’s Whiteboard Friday Rand explains what has changed and what we all need to do to conduct effective keyword research today.

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

What do we need to change to keep up with the changing world of keyword research?

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we’re going to chat a little bit about keyword research, why it’s changed from the last five, six years and what we need to do differently now that things have changed. So I want to talk about changing up not just the research but also the selection and targeting process.

There are three big areas that I’ll cover here. There’s lots more in-depth stuff, but I think we should start with these three.

1) The Adwords keyword tool hides data!

This is where almost all of us in the SEO world start and oftentimes end with our keyword research. We go to AdWords Keyword Tool, what used to be the external keyword tool and now is inside AdWords Ad Planner. We go inside that tool, and we look at the volume that’s reported and we sort of record that as, well, it’s not good, but it’s the best we’re going to do.

However, I think there are a few things to consider here. First off, that tool is hiding data. What I mean by that is not that they’re not telling the truth, but they’re not telling the whole truth. They’re not telling nothing but the truth, because those rounded off numbers that you always see, you know that those are inaccurate. Anytime you’ve bought keywords, you’ve seen that the impression count never matches the count that you see in the AdWords tool. It’s not usually massively off, but it’s often off by a good degree, and the only thing it’s great for is telling relative volume from one from another.

But because AdWords hides data essentially by saying like, “Hey, you’re going to type in . . .” Let’s say I’m going to type in “college tuition,” and Google knows that a lot of people search for how to reduce college tuition, but that doesn’t come up in the suggestions because it’s not a commercial term, or they don’t think that an advertiser who bids on that is going to do particularly well and so they don’t show it in there. I’m giving an example. They might indeed show that one.

But because that data is hidden, we need to go deeper. We need to go beyond and look at things like Google Suggest and related searches, which are down at the bottom. We need to start conducting customer interviews and staff interviews, which hopefully has always been part of your brainstorming process but really needs to be now. Then you can apply that to AdWords. You can apply that to suggest and related.

The beautiful thing is once you get these tools from places like visiting forums or communities, discussion boards and seeing what terms and phrases people are using, you can collect all this stuff up, plug it back into AdWords, and now they will tell you how much volume they’ve got. So you take that how to lower college tuition term, you plug it into AdWords, they will show you a number, a non-zero number. They were just hiding it in the suggestions because they thought, “Hey, you probably don’t want to bid on that. That won’t bring you a good ROI.” So you’ve got to be careful with that, especially when it comes to SEO kinds of keyword research.

2) Building separate pages for each term or phrase doesn’t make sense

It used to be the case that we built separate pages for every single term and phrase that was in there, because we wanted to have the maximum keyword targeting that we could. So it didn’t matter to us that college scholarship and university scholarships were essentially people looking for exactly the same thing, just using different terminology. We would make one page for one and one page for the other. That’s not the case anymore.

Today, we need to group by the same searcher intent. If two searchers are searching for two different terms or phrases but both of them have exactly the same intent, they want the same information, they’re looking for the same answers, their query is going to be resolved by the same content, we want one page to serve those, and that’s changed up a little bit of how we’ve done keyword research and how we do selection and targeting as well.

3) Build your keyword consideration and prioritization spreadsheet with the right metrics

Everybody’s got an Excel version of this, because I think there’s just no awesome tool out there that everyone loves yet that kind of solves this problem for us, and Excel is very, very flexible. So we go into Excel, we put in our keyword, the volume, and then a lot of times we almost stop there. We did keyword volume and then like value to the business and then we prioritize.

What are all these new columns you’re showing me, Rand? Well, here I think is how sophisticated, modern SEOs that I’m seeing in the more advanced agencies, the more advanced in-house practitioners, this is what I’m seeing them add to the keyword process.

Difficulty

A lot of folks have done this, but difficulty helps us say, “Hey, this has a lot of volume, but it’s going to be tremendously hard to rank.”

The difficulty score that Moz uses and attempts to calculate is a weighted average of the top 10 domain authorities. It also uses page authority, so it’s kind of a weighted stack out of the two. If you’re seeing very, very challenging pages, very challenging domains to get in there, it’s going to be super hard to rank against them. The difficulty is high. For all of these ones it’s going to be high because college and university terms are just incredibly lucrative.

That difficulty can help bias you against chasing after terms and phrases for which you are very unlikely to rank for at least early on. If you feel like, “Hey, I already have a powerful domain. I can rank for everything I want. I am the thousand pound gorilla in my space,” great. Go after the difficulty of your choice, but this helps prioritize.

Opportunity

This is actually very rarely used, but I think sophisticated marketers are using it extremely intelligently. Essentially what they’re saying is, “Hey, if you look at a set of search results, sometimes there are two or three ads at the top instead of just the ones on the sidebar, and that’s biasing some of the click-through rate curve.” Sometimes there’s an instant answer or a Knowledge Graph or a news box or images or video, or all these kinds of things that search results can be marked up with, that are not just the classic 10 web results. Unfortunately, if you’re building a spreadsheet like this and treating every single search result like it’s just 10 blue links, well you’re going to lose out. You’re missing the potential opportunity and the opportunity cost that comes with ads at the top or all of these kinds of features that will bias the click-through rate curve.

So what I’ve seen some really smart marketers do is essentially build some kind of a framework to say, “Hey, you know what? When we see that there’s a top ad and an instant answer, we’re saying the opportunity if I was ranking number 1 is not 10 out of 10. I don’t expect to get whatever the average traffic for the number 1 position is. I expect to get something considerably less than that. Maybe something around 60% of that, because of this instant answer and these top ads.” So I’m going to mark this opportunity as a 6 out of 10.

There are 2 top ads here, so I’m giving this a 7 out of 10. This has two top ads and then it has a news block below the first position. So again, I’m going to reduce that click-through rate. I think that’s going down to a 6 out of 10.

You can get more and less scientific and specific with this. Click-through rate curves are imperfect by nature because we truly can’t measure exactly how those things change. However, I think smart marketers can make some good assumptions from general click-through rate data, which there are several resources out there on that to build a model like this and then include it in their keyword research.

This does mean that you have to run a query for every keyword you’re thinking about, but you should be doing that anyway. You want to get a good look at who’s ranking in those search results and what kind of content they’re building . If you’re running a keyword difficulty tool, you are already getting something like that.

Business value

This is a classic one. Business value is essentially saying, “What’s it worth to us if visitors come through with this search term?” You can get that from bidding through AdWords. That’s the most sort of scientific, mathematically sound way to get it. Then, of course, you can also get it through your own intuition. It’s better to start with your intuition than nothing if you don’t already have AdWords data or you haven’t started bidding, and then you can refine your sort of estimate over time as you see search visitors visit the pages that are ranking, as you potentially buy those ads, and those kinds of things.

You can get more sophisticated around this. I think a 10 point scale is just fine. You could also use a one, two, or three there, that’s also fine.

Requirements or Options

Then I don’t exactly know what to call this column. I can’t remember the person who’ve showed me theirs that had it in there. I think they called it Optional Data or Additional SERPs Data, but I’m going to call it Requirements or Options. Requirements because this is essentially saying, “Hey, if I want to rank in these search results, am I seeing that the top two or three are all video? Oh, they’re all video. They’re all coming from YouTube. If I want to be in there, I’ve got to be video.”

Or something like, “Hey, I’m seeing that most of the top results have been produced or updated in the last six months. Google appears to be biasing to very fresh information here.” So, for example, if I were searching for “university scholarships Cambridge 2015,” well, guess what? Google probably wants to bias to show results that have been either from the official page on Cambridge’s website or articles from this year about getting into that university and the scholarships that are available or offered. I saw those in two of these search results, both the college and university scholarships had a significant number of the SERPs where a fresh bump appeared to be required. You can see that a lot because the date will be shown ahead of the description, and the date will be very fresh, sometime in the last six months or a year.

Prioritization

Then finally I can build my prioritization. So based on all the data I had here, I essentially said, “Hey, you know what? These are not 1 and 2. This is actually 1A and 1B, because these are the same concepts. I’m going to build a single page to target both of those keyword phrases.” I think that makes good sense. Someone who is looking for college scholarships, university scholarships, same intent.

I am giving it a slight prioritization, 1A versus 1B, and the reason I do this is because I always have one keyword phrase that I’m leaning on a little more heavily. Because Google isn’t perfect around this, the search results will be a little different. I want to bias to one versus the other. In this case, my title tag, since I more targeting university over college, I might say something like college and university scholarships so that university and scholarships are nicely together, near the front of the title, that kind of thing. Then 1B, 2, 3.

This is kind of the way that modern SEOs are building a more sophisticated process with better data, more inclusive data that helps them select the right kinds of keywords and prioritize to the right ones. I’m sure you guys have built some awesome stuff. The Moz community is filled with very advanced marketers, probably plenty of you who’ve done even more than this.

I look forward to hearing from you in the comments. I would love to chat more about this topic, and we’ll see you again next week for another edition of Whiteboard Friday. Take care.

Video transcription by Speechpad.com

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Reblogged 4 years ago from tracking.feedpress.it

How to Combat 5 of the SEO World’s Most Infuriating Problems – Whiteboard Friday

Posted by randfish

These days, most of us have learned that spammy techniques aren’t the way to go, and we have a solid sense for the things we should be doing to rank higher, and ahead of our often spammier competitors. Sometimes, maddeningly, it just doesn’t work. In today’s Whiteboard Friday, Rand talks about five things that can infuriate SEOs with the best of intentions, why those problems exist, and what we can do about them.

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

What SEO problems make you angry?

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we’re chatting about some of the most infuriating things in the SEO world, specifically five problems that I think plague a lot of folks and some of the ways that we can combat and address those.

I’m going to start with one of the things that really infuriates a lot of new folks to the field, especially folks who are building new and emerging sites and are doing SEO on them. You have all of these best practices list. You might look at a web developer’s cheat sheet or sort of a guide to on-page and on-site SEO. You go, “Hey, I’m doing it. I’ve got my clean URLs, my good, unique content, my solid keyword targeting, schema markup, useful internal links, my XML sitemap, and my fast load speed. I’m mobile friendly, and I don’t have manipulative links.”

Great. “Where are my results? What benefit am I getting from doing all these things, because I don’t see one?” I took a site that was not particularly SEO friendly, maybe it’s a new site, one I just launched or an emerging site, one that’s sort of slowly growing but not yet a power player. I do all this right stuff, and I don’t get SEO results.

This makes a lot of people stop investing in SEO, stop believing in SEO, and stop wanting to do it. I can understand where you’re coming from. The challenge is not one of you’ve done something wrong. It’s that this stuff, all of these things that you do right, especially things that you do right on your own site or from a best practices perspective, they don’t increase rankings. They don’t. That’s not what they’re designed to do.

1) Following best practices often does nothing for new and emerging sites

This stuff, all of these best practices are designed to protect you from potential problems. They’re designed to make sure that your site is properly optimized so that you can perform to the highest degree that you are able. But this is not actually rank boosting stuff unfortunately. That is very frustrating for many folks. So following a best practices list, the idea is not, “Hey, I’m going to grow my rankings by doing this.”

On the flip side, many folks do these things on larger, more well-established sites, sites that have a lot of ranking signals already in place. They’re bigger brands, they have lots of links to them, and they have lots of users and usage engagement signals. You fix this stuff. You fix stuff that’s already broken, and boom, rankings pop up. Things are going well, and more of your pages are indexed. You’re getting more search traffic, and it feels great. This is a challenge, on our part, of understanding what this stuff does, not a challenge on the search engine’s part of not ranking us properly for having done all of these right things.

2) My competition seems to be ranking on the back of spammy or manipulative links

What’s going on? I thought Google had introduced all these algorithms to kind of shut this stuff down. This seems very frustrating. How are they pulling this off? I look at their link profile, and I see a bunch of the directories, Web 2.0 sites — I love that the spam world decided that that’s Web 2.0 sites — article sites, private blog networks, and do follow blogs.

You look at this stuff and you go, “What is this junk? It’s terrible. Why isn’t Google penalizing them for this?” The answer, the right way to think about this and to come at this is: Are these really the reason that they rank? I think we need to ask ourselves that question.

One thing that we don’t know, that we can never know, is: Have these links been disavowed by our competitor here?

I’ve got my HulksIncredibleStore.com and their evil competitor Hulk-tastrophe.com. Hulk-tastrophe has got all of these terrible links, but maybe they disavowed those links and you would have no idea. Maybe they didn’t build those links. Perhaps those links came in from some other place. They are not responsible. Google is not treating them as responsible for it. They’re not actually what’s helping them.

If they are helping, and it’s possible they are, there are still instances where we’ve seen spam propping up sites. No doubt about it.

I think the next logical question is: Are you willing to loose your site or brand? What we don’t see anymore is we almost never see sites like this, who are ranking on the back of these things and have generally less legitimate and good links, ranking for two or three or four years. You can see it for a few months, maybe even a year, but this stuff is getting hit hard and getting hit frequently. So unless you’re willing to loose your site, pursuing their links is probably not a strategy.

Then what other signals, that you might not be considering potentially links, but also non-linking signals, could be helping them rank? I think a lot of us get blinded in the SEO world by link signals, and we forget to look at things like: Do they have a phenomenal user experience? Are they growing their brand? Are they doing offline kinds of things that are influencing online? Are they gaining engagement from other channels that’s then influencing their SEO? Do they have things coming in that I can’t see? If you don’t ask those questions, you can’t really learn from your competitors, and you just feel the frustration.

3) I have no visibility or understanding of why my rankings go up vs down

On my HulksIncredibleStore.com, I’ve got my infinite stretch shorts, which I don’t know why he never wears — he should really buy those — my soothing herbal tea, and my anger management books. I look at my rankings and they kind of jump up all the time, jump all over the place all the time. Actually, this is pretty normal. I think we’ve done some analyses here, and the average page one search results shift is 1.5 or 2 position changes daily. That’s sort of the MozCast dataset, if I’m recalling correctly. That means that, over the course of a week, it’s not uncommon or unnatural for you to be bouncing around four, five, or six positions up, down, and those kind of things.

I think we should understand what can be behind these things. That’s a very simple list. You made changes, Google made changes, your competitors made changes, or searcher behavior has changed in terms of volume, in terms of what they were engaging with, what they’re clicking on, what their intent behind searches are. Maybe there was just a new movie that came out and in one of the scenes Hulk talks about soothing herbal tea. So now people are searching for very different things than they were before. They want to see the scene. They’re looking for the YouTube video clip and those kind of things. Suddenly Hulk’s soothing herbal tea is no longer directing as well to your site.

So changes like these things can happen. We can’t understand all of them. I think what’s up to us to determine is the degree of analysis and action that’s actually going to provide a return on investment. Looking at these day over day or week over week and throwing up our hands and getting frustrated probably provides very little return on investment. Looking over the long term and saying, “Hey, over the last 6 months, we can observe 26 weeks of ranking change data, and we can see that in aggregate we are now ranking higher and for more keywords than we were previously, and so we’re going to continue pursuing this strategy. This is the set of keywords that we’ve fallen most on, and here are the factors that we’ve identified that are consistent across that group.” I think looking at rankings in aggregate can give us some real positive ROI. Looking at one or two, one week or the next week probably very little ROI.

4) I cannot influence or affect change in my organization because I cannot accurately quantify, predict, or control SEO

That’s true, especially with things like keyword not provided and certainly with the inaccuracy of data that’s provided to us through Google’s Keyword Planner inside of AdWords, for example, and the fact that no one can really control SEO, not fully anyway.

You get up in front of your team, your board, your manager, your client and you say, “Hey, if we don’t do these things, traffic will suffer,” and they go, “Well, you can’t be sure about that, and you can’t perfectly predict it. Last time you told us something, something else happened. So because the data is imperfect, we’d rather spend money on channels that we can perfectly predict, that we can very effectively quantify, and that we can very effectively control.” That is understandable. I think that businesses have a lot of risk aversion naturally, and so wanting to spend time and energy and effort in areas that you can control feels a lot safer.

Some ways to get around this are, first off, know your audience. If you know who you’re talking to in the room, you can often determine the things that will move the needle for them. For example, I find that many managers, many boards, many executives are much more influenced by competitive pressures than they are by, “We won’t do as well as we did before, or we’re loosing out on this potential opportunity.” Saying that is less powerful than saying, “This competitor, who I know we care about and we track ourselves against, is capturing this traffic and here’s how they’re doing it.”

Show multiple scenarios. Many of the SEO presentations that I see and have seen and still see from consultants and from in-house folks come with kind of a single, “Hey, here’s what we predict will happen if we do this or what we predict will happen if we don’t do this.” You’ve got to show multiple scenarios, especially when you know you have error bars because you can’t accurately quantify and predict. You need to show ranges.

So instead of this, I want to see: What happens if we do it a little bit? What happens if we really overinvest? What happens if Google makes a much bigger change on this particular factor than we expect or our competitors do a much bigger investment than we expect? How might those change the numbers?

Then I really do like bringing case studies, especially if you’re a consultant, but even in-house there are so many case studies in SEO on the Web today, you can almost always find someone who’s analogous or nearly analogous and show some of their data, some of the results that they’ve seen. Places like SEMrush, a tool that offers competitive intelligence around rankings, can be great for that. You can show, hey, this media site in our sector made these changes. Look at the delta of keywords they were ranking for versus R over the next six months. Correlation is not causation, but that can be a powerful influencer showing those kind of things.

Then last, but not least, any time you’re going to get up like this and present to a group around these topics, if you very possibly can, try to talk one-on-one with the participants before the meeting actually happens. I have found it almost universally the case that when you get into a group setting, if you haven’t had the discussions beforehand about like, “What are your concerns? What do you think is not valid about this data? Hey, I want to run this by you and get your thoughts before we go to the meeting.” If you don’t do that ahead of time, people can gang up and pile on. One person says, “Hey, I don’t think this is right,” and everybody in the room kind of looks around and goes, “Yeah, I also don’t think that’s right.” Then it just turns into warfare and conflict that you don’t want or need. If you address those things beforehand, then you can include the data, the presentations, and the “I don’t know the answer to this and I know this is important to so and so” in that presentation or in that discussion. It can be hugely helpful. Big difference between winning and losing with that.

5) Google is biasing to big brands. It feels hopeless to compete against them

A lot of people are feeling this hopelessness, hopelessness in SEO about competing against them. I get that pain. In fact, I’ve felt that very strongly for a long time in the SEO world, and I think the trend has only increased. This comes from all sorts of stuff. Brands now have the little dropdown next to their search result listing. There are these brand and entity connections. As Google is using answers and knowledge graph more and more, it’s feeling like those entities are having a bigger influence on where things rank and where they’re visible and where they’re pulling from.

User and usage behavior signals on the rise means that big brands, who have more of those signals, tend to perform better. Brands in the knowledge graph, brands growing links without any effort, they’re just growing links because they’re brands and people point to them naturally. Well, that is all really tough and can be very frustrating.

I think you have a few choices on the table. First off, you can choose to compete with brands where they can’t or won’t. So this is areas like we’re going after these keywords that we know these big brands are not chasing. We’re going after social channels or people on social media that we know big brands aren’t. We’re going after user generated content because they have all these corporate requirements and they won’t invest in that stuff. We’re going after content that they refuse to pursue for one reason or another. That can be very effective.

You better be building, growing, and leveraging your competitive advantage. Whenever you build an organization, you’ve got to say, “Hey, here’s who is out there. This is why we are uniquely better or a uniquely better choice for this set of customers than these other ones.” If you can leverage that, you can generally find opportunities to compete and even to win against big brands. But those things have to become obvious, they have to become well-known, and you need to essentially build some of your brand around those advantages, or they’re not going to give you help in search. That includes media, that includes content, that includes any sort of press and PR you’re doing. That includes how you do your own messaging, all of these things.

(C) You can choose to serve a market or a customer that they don’t or won’t. That can be a powerful way to go about search, because usually search is bifurcated by the customer type. There will be slightly different forms of search queries that are entered by different kinds of customers, and you can pursue one of those that isn’t pursued by the competition.

Last, but not least, I think for everyone in SEO we all realize we’re going to have to become brands ourselves. That means building the signals that are typically associated with brands — authority, recognition from an industry, recognition from a customer set, awareness of our brand even before a search has happened. I talked about this in a previous Whiteboard Friday, but I think because of these things, SEO is becoming a channel that you benefit from as you grow your brand rather than the channel you use to initially build your brand.

All right, everyone. Hope these have been helpful in combating some of these infuriating, frustrating problems and that we’ll see some great comments from you guys. I hope to participate in those as well, and we’ll catch you again next week for another edition of Whiteboard Friday. Take care.

Video transcription by Speechpad.com

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Reblogged 4 years ago from tracking.feedpress.it

Could this be BETTER than an in-depth chat with a Google Spam Fighter?

Wouldn’t you love to have a heart to heart with a Google Spam Fighter and get the inside track on what’s happening at Google? Hmm… it might sound good, but would they really tell you the stuff you want to know? I don’t think so… So how about something much more open and exciting? A…

The post Could this be BETTER than an in-depth chat with a Google Spam Fighter? appeared first on Majestic Blog.

Reblogged 4 years ago from blog.majestic.com