Spam
Everyone thinks about how best to promote the business online.
We are thinking every day of social media strategies, online marketing campaigns, doing SEO in any language required, Spanish SEO, English SEO, but not so much into spam and on ways to get rid of it.
We do care nonetheless about spam messages we get daily .
We must be very careful when we subscribe to various websites and deselect what does not interest us, to not receive too many e-mails.
Many websites get spam, such as search engines, blogs, forums, newsgroups, social networks, through popup windows with images.
Mobile phones also get spam through text messages.
The spam techniques include the method of obtaining the e-mail, the sending of messages, some verification that the message was received and of course the Trojans and zombie computers.
The most popular ways to obtain our e-mail would be through the web sites we often visit, newsgroups, many pages that need your email to access a service or to do a download for illegal entry into various servers .
We can take some measures to prevent spam, at least.
We can put an image instead of the email address when we are asked to or change the address to avoid the automatic tracking.
In the newsgroups and mailing lists is better not to put our true e-mail, moderate the forums and even change the direction of an image.
El SEO y el Page Rank
Los resultados de las campañas de marketing online, después de hacer SEO para un mejor posicionamiento web de la marca, se miden en los comentarios, el feedback de los usuarios y el Page Rank.
El Page Rank es la marca registrada de Google desde 1999 y que asigna la relevancia de una web con números de 0 a 10, utilizando algoritmos.
Evidentemente se trata de seguir los enlaces que apuntan a la web y que otras páginas web enlazan nuestra web.
De este modo si una página web con un Page Rank grande enlaza otra página web es mejor, porque son páginas más importantes que apuntan a una web que subirá posiciones con el tiempo.
Si miramos el algoritmo publicado para medir el Page Rank vemos que se toma en cuenta el valor de cada página web que nos enlaza, el numero de los enlaces, como también una variable y el Page Rank de la pagina web analizada.
Si nuestra web esta enlazada por páginas con un alto Page Rank, nuestra página también tendrá un Page Rank alto.
Todo el mundo quiere tener un Page Rank de 10 o lo más alto posible, pero esto se consigue a lo largo del tiempo y con mucho esfuerzo.
Google está luchando contra el Spam todo el tiempo, porque no es correcto obtener enlaces a través de este método.
La importancia del posicionamiento en la web
Hoy en dia si tienes una empresa debes destacar en el mercado y atraer los potenciales clientes por varios medios.
Hace años empezaron en documentarse mas como se podría optimizar su sitio web y hacer marketing online, todo por desarrollar la compañía. Asi entendieron de que trata SEO, que es la optimización del sitio web con el propósito de situarse bien con los motores de búsqueda que la gente utiliza.
Mas y mas utilizadores hacen sus compras online, por lo tanto es imprescindible llegar a las primeras posiciones en los buscadores, como Google y Yahoo, que son lo mas utilizados. las técnicas de hacer un buen posicionamiento web son diversos. El mejor buscador del mundo, Google viene con la solución de unas
La mayoría de los programas necesarios para optimizar un sitio web son de pago y siempre es mejor encargar an empresas especializadas en SEO de ocuparse de nuestro negocio porque garantizan una buena optimización y nosotros podemos concentrarnos en nuestra empresa.
Los clientes a la hora de buscar algo en Yahoo por ejemplo, casi nunca miran mas de tres paginas. Es importante tener una buena posición en la web para garantizar por lo menos que la gente la encuentre rápidamente y asi obtener popularidad. Muchos hace las compras pensando en las marcas que conocen que por la calidad de los productos o servicios.
Las redes sociales ayudan mucho a la hora de llegar a los consumidores comodamente y muy rápido.
Piensen siempre como el mundo puede ver la actividad de tu negocio en tiempo real.
Correlation Data for SEO and Social Media Analysis – Part 1 – Whiteboard Friday
Posted by Aaron Wheeler
One of the most helpful aids in doing SEO is knowing what factors actually affect your rankings. It seems obvious on its face, but not everyone prioritizes their SEO work with the knowledge of how changes to a site and link profile actually affect the SERPs. It’s important to at least have some heuristics to use in pursuit of higher rankings, and while it’s not always easy, it is possible to correlate optimization techniques with positive (or negative) movement in SERPs.
SEOmoz tries to establish these correlations in our bi-annual Search Engine Ranking Factors project by running tests and consulting with professional SEOs; for instance, in 2009, we discovered that keyword-focused anchor text from external links was highly correlated with positive rankings (we’re currently working on a new iteration of the report for 2011, so keep your eyes peeled!). As you probably know, and as Rand spends a little time explaining in this week’s Whiteboard Friday, correlation is not causation. That being said, correlations are still important and useful information! In today’s post, Rand begins a two-part series on how to use correlation data in your SEO and social media research.
Video Transcription
Howdy, SEOmoz fans. Welcome to another edition of Whiteboard Friday. Today we’ve got a great topic, really exciting topic. We’re going to be talking about correlation data and how you can use it in SEO and social media analysis.
A lot of you already use correlation data, and many of you have probably seen on our blog and in our early release of data from our Ranking Factors Survey this year that we’re going to be presenting a bunch of correlation data. We’ve done this a number of times over the past few years. It’s always very, very interesting to look at. Sometimes it’s potentially controversial because some of the data is really interesting and surprising.
In this case, correlation data is something that I know many folks in the SEO field and the social media field who don’t have a substantive background in statistics, like me. I mean, let’s face it. I think I got a D in my statistics class in college, and I’m pretty sure I skipped the last three classes and didn’t even go to the final because I was sure I was going to fail. Then somehow I skated by. But that’s beside the point. I dropped out of college anyway, so I didn’t need that D.
Correlation, it sounds like a big fancy word, but it’s actually really, really simple. It’s essentially the degree to which one metric, a predictor, has a correlation, a connection to another. Let me give you a couple of really simple examples just so you can understand this, and then we’ll talk about some ways to use it in SEO and social.
Let’s imagine, for a second, that you are a contractor. You’re doing some content writing and you bill the companies that you write for on an hourly basis. You do ten hours of labor, at $ 10 an hour, let’s say, and you get $ 100. The hours billed and the dollars received have a very, very good correlation. In fact, they’d have a correlation of 1.0 hopefully. Hopefully, you don’t bill some hours and then people don’t pay or they pay you more hours than you billed. Maybe those things will happen, but usually it’s 1 to 1 correlation. It’s 1.0 is the correlation. Remember all correlation numbers, at least statistically speaking, from a math perspective are between 0 and 1 positive correlations, at least. Then we do have negative correlations as well. We’re not going to worry about those for a sec.
In the dollars received, hours billed, that’s a perfect correlation. You see I billed for 1 hour, I got $ 10. I bill for 2 hours, I got $ 20. I bill for 3 hours, so perfect linear, nice 1.0 correlation. You can imagine there are lots of systems, simple systems that function like this. For example, the number of steps that you take and the distance that you travel. Those have sort of a perfect, nice correlation.
Then there’s stuff that has a correlation but the correlation might not be as perfectly predictive, and we want to have numbers around what those correlations are. Here’s a pretty simple example. This is the number of days that I wear yellow shoes. You can see I’m not wearing them today. But number of days that I wear yellow shoes and the number of days where I give a professional presentation. Oftentimes, these are quite connected. But it turns out there are also days where I wear the yellow shoes and I don’t give a presentation, or where I give a presentation but I don’t wear the yellow shoes. Those things do happen. It’s not a requirement that every time I get up on stage I have to wear yellow shoes, but it happens a lot.
So we can map those. We can say, oh, well, there were five days where Rand wore yellow shoes and all five of those days he gave a presentation. Then a couple of days later, oh, you know what? Rand wore the yellow shoes just around town. He was breaking in a new pair. So there are a couple of more days where he wore them, but only one more day where he gave a presentation. So we get a little chart like this.
What correlation scores can do is they can help give a number like 0.7 to the connection between these two numbers. You can sort of say, huh, well, there’s a good correlation between them, but it’s not certain that every time Rand wears yellow shoes, he’s giving a presentation, or every time he gives a presentation, he wears yellow shoes.
That’s exactly what these numbers are designed to predict. Now, in really simple scenarios like this, a correlation score of 0.7, that’s relatively high. But we’d actually need quite a few data points to be able to predict something called “standard error.” So, standard error tells us the degree to which we’re certain that these two things are connected.
If we have a standard error of let’s say .25, that might be a pretty high standard error because we only have a few data points. That means that there’s potentially a lot of fluctuation. This could be a much lower correlation than we think it is or a much higher one, depending. But if we got thousands of data points, if we had every data point around when I wore yellow shoes, every data point around when I’ve given a professional presentation, this standard error might drop dramatically to let’s say .05. Now, we can be more certain that, oh, yeah, there’s clearly a connection there, and with a little bit of fluctuation, we know pretty much what the correlation number is. So we can predict how often when Rand gives a presentation he’s going to be wearing yellow shoes based on an average of previous data. That’s what this is designed to tell us. That’s exactly what correlation can be used for.
Let’s talk about some ways to use correlation data in your SEO and your social media campaigns. First off, in a lot of the cases, you don’t actually need a huge data set. Let’s talk first about ways that you’re probably already using correlation data, which is with individual data points. These are things where you gather, you look at search results, or you look at how you perform in social media. You look at how other people are doing. You form correlations in your mind. Like, boy, you know what, every time I see someone write a top ten list about something, that seems to get a lot of links and a lot of retweets and a lot of attention. It seems like top X lists are a really good way to produce content. People really like these top ten lists, or top X lists. Maybe that’s a good way to go. That type of data point connection in your own mind is correlation. It’s something where you’re connecting these things seem to predict success, and so I am going to potentially imitate them and see if they predict success for me.
That’s actually a fine thing to do. You could do something, like, hmm, it seems like when I have a tweet with a link that gets higher click-through rate, it also gets more retweets. So if I can figure out the formula to get one of these, chances are I’ll do well with both of them. I’m going to work on my click-through rate. I’m going to work on things that predict higher click-through rate. I’m going to get those short punchy titles. I’m going to get a good URL shortener. I’m going to keep the . . . whatever it is that the format of the tweet that you send that gets one of these is, you can generally predict you’ll get the other one, maybe in some cases.
This doesn’t necessarily apply to everyone. A lot of the time it’s just your personal experience, and that’s a fine thing to use. Facebook shares, you might notice that in your Facebook account, when you share content that has a picture of a human face. So, it’s got a little, oh, look, there’s a nice picture of Rand. I appear quite “stick figurey” today. Yes, I draw like a second grader. It’s weird that I do Whiteboard Friday. Facebook shares that have a human face as the thumbnail get more clicks. You think to yourself, huh, all right, maybe I need to start using more human faces in the thumbnail of what I put on Facebook, you know, the image that you choose when you share content on there. That might be a fine thing to discover. You could use that from an intuition basis, or you could actually measure it. You could go back through your account and look at all the click-through rates that you’ve earned, if you’re using an URL tracker or shortener like bit.ly. Then you could see is this really the case? Put the numbers into Excel and run the data, see on average how you’re performing. It’s a pretty simple way to do things.
You might also notice something like an observational notice. Links with keywords in the anchor text provide more of a rankings boost in Google. When you get links, external links, and they contain the keyword you’re targeting somewhere in the anchor text, then you get more rankings boost. So, you think to yourself, huh, anchor text. That must be a powerful signal. I’m going to start trying to do that. When I get anchor text on other sites, maybe I’m going to put it in my bio, so when people link to me, they’ll use that particular keyword and pointing to the pages that I want.
This observational correlation is something that SEOs and social media marketers and digital marketers of all stripes have used for ages. They’ve used forever, this observational type of correlation. But there’s cool stuff that you can do on a research basis that we call sort of aggregated or average correlations that produces lots of really interesting stuff too. I’ll give you some examples of those.
So, over at HubSpot, their social media scientist, Dan Zarrella produces something called the “Science of Retweets,” talking about how retweets are spread over the Web and what correlates well with things getting more retweets versus less retweets. He also does one that’s great on the science of timing, talking about when is the best time to tweet or produce a blog post.
This correlation type of data is used all over the place, in tons and tons of different fields, definitely in digital marketing. We do some cool stuff here at SEOmoz where we collect hundreds or thousands of data points to be able to show aggregate or average correlation with two different metrics.
So for example, in our recent survey, we collected 10,000 different search results. The reason we collect such a high one remember is because we want that low, low standard error that comes from having a lot of data. So, we collect 10,000 and then we see, oh, how do tweets correlate with higher or lower rankings in Google? How do Facebook shares correlate with higher or lower rankings in Google?
You can see, actually, that some of the interesting things we’ve noticed from collecting this type of data is that, hmm, keywords in the alt attribute of an image, for example, predict higher average correlation than using the keyword in the H1. So a lot of SEOs tell you, oh, you know, that H1 tag, that’s a really important tag. You’ve got to get the keywords in the H1 tag, got to have H1s on every page.
Looks to us like the correlation with H1s, keywords in the H1 is no better than having the keyword just near, at the very top of the page, which H1s usually predict anyway. So, maybe it’s not the H1 that’s helping. You don’t know. It’s correlation data. It’s not causation. We don’t know for sure that this is what’s causing it, but we know that there’s a connection numerically between these metrics.
That alt attribute, huh, it looks positive. We never thought, oh, maybe we should recommend that. So, for the last few years, we’ve been recommending put a good image on the page and make sure your keyword is in there.
You can see we did this with Twitter data. We did a cool study with Twitter data where we looked at a large number of tweets. We said, “What predicts higher click-through rate?” It turned out that shorter tweets produced higher click-through rate. Probably no surprise, right. So instead of using all 140 characters, you only use 60 characters, 80 characters. Looks like more people click on the links in those shorter tweets. That’s kind of interesting, kind of cool. Maybe it suggests that when we’re writing titles and headlines of things we want people to click, we should make those tweets very short. We looked at putting the link in the tweet at the front of the tweet versus the end of the tweet versus the middle. The middle looks slightly better than the other two.
You can learn all sorts of interesting stuff. This is what’s awesome about correlation data. It doesn’t necessarily mean it predicts things, but what it does mean is that things that have these features have a higher propensity to do well. So, in some cases, at least for me, I care a lot less about whether there’s causation there. I do care, but I care much less about the causation than the raw correlation.
The reason I’m so interested in the correlation is because it says things that have this feature do better or worse. So, whether that’s the cause of them or not, I like to imitate the things that do better and not imitate the things that do worse. I don’t know whether it’s directly causation or whether it’s a second order effect or a tertiary effect or just some fragment of an effect. It doesn’t matter to me. I want to look like the people who are successful. I want to do what successful people do, and that’s what correlation data is so good for.
So, in part two, next week, we’re going to talk about some really cool stuff that we found with correlation data and give you some ideas of where we’re going in the next phases. Take care everyone.
Video transcription by SpeechPad.com
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Source
SEOmoz Daily SEO Blog
White Hat SEO: It F@$#ing Works
Posted by randfish
I hate webspam. I hate what it’s done to the reputation of hardworking, honest, smart web marketers who help websites earn search traffic. I hate how it’s poisoned the acronym SEO; a title I’m proud to wear. I hate that it makes legitimate marketing tactics less fruitful. And I hate, perhaps most of all, when it works.
Here’s a search for "buy propecia," which is a drug I actually take to help prevent hair loss (My wife doesn’t think I’d look very good sans hair):
Like most search results in the pharma sphere, it’s polluted by pages that have artificially inflated their rankings. This is obvious to virtually everyone who’s even partially tech-savvy and it does three terrible things:
- Marketers and technologists who observe results like this equate SEO with spamming. If you’ve read a Hacker News or StackOverflow thread on the topic, you’ve undoubtedly seen this perspective.
- SEOs new to the profession see this and think that whatever these sites are doing is an effective way to earn rankings, and try repeating their tactics (often harming their sites or those of employers/clients in the process).
- Consumers learn not to trust the search results from Google, killing business value for everyone in the web world, e.g. this post on Why You Should Never Search for Free WordPress Themes in Google
Spam removes economic and brand value from the search/social/web marketing ecosystem. If you create this kind of junk, at least be honest with yourself – you’re directly harming your fellow marketers, online businesses, searchers and future generations of web users.
Last week, Kris Roadruck wrote a post called "Whitehat SEO is a Joke." He was upfront about the fact that it was intentionally provocative, not entirely truthful and more sensational than authentic. Despite these caveats, I think a response and some clarification about my thoughts on black hat in general are in order. I’m responding less because I think Kris believes it and more because of the surprisingly supportive response his post received in parts of the search community.
Some Points on Kris’ Post:
Kris begins his article with a personal realization:
"… I started realizing there were only really 2 kinds of white-hats. The ones complaining about how they were doing everything by the book and getting their asses handed to them by “unethical tactics”, and the ones that were claiming success that didn’t belong to them… because they… happened to be in a niche that bloggers find interesting or entertaining…"
"It’s easy to preach great content when you have a great subject. But no one gives a shit about non-clog toilets or pulse oximeters or single phase diode bridge rectifiers. Sure you might be able to piece together 1 or 2 bits of link-bait but you can be sure that you aren’t going to get the anchor text that you want."
Kris’ premise seems compelling and even has elements of truth (great content does work better in fields where there’s more interest from web-savvy site owners), but on the whole, it’s a lie. That lie – that "great content" doesn’t work in boring niches – is one told out of laziness, jealousy and contempt. It’s told by spammers to other spammers because it glosses over the fact that white-hat, legitimate marketing can work well in ANY field, for any site.
How about some examples, you ask? Happy to:
- Here’s Ready for Zero. It’s a Y-Combinator backed startup tackling the horrificly spammy and, worse-than-boring, field of credit card debt relief. They don’t rank yet (as they’ve just launched), but if they invest in SEO, they will. They have content – in this case a great team, great story, great investors and the right product – to earn all the links they’ll need. If I were an SEO consultant for a company seeking rankings for debt relief type searches, that’s exactly the "great content" I’d recommend.
- Here’s one that does rank – Oyster Hotel Reviews. Today, they’re on the first page for nearly every hotel they’ve covered, and in position 5 for the massively competitive phrase "hotel reviews" (and they’re the best result in the SERPs).
- Another that ranks – Pods Moving Company. It’s not the most exciting site in the world, but it’s a good idea with good marketing and it’s on the first page for "moving company," another incredibly competitive result. And guess what? No links from bloggers, either (nor any black/gray hat links I could find).
- Speaking of not exciting but white hat and "great content," here’s Ron Hazelton’s DIY Home Improvement. A mini-celebrity thanks to a home repair-focused TV show, his site isn’t exactly drawing in the Linkerati, but he markets it well and his stuff is good, so when you do searches like ‘toilet replacement‘ Ron’s site is #1.
- Slightly less boring, but more competitive and equally un-blogger friendly is the world of business invoicing and bill paying. Yet, the gang at Freshbooks is kicking butt and taking page 1 rankings all over the place.
- Sound effects are another unlikely arena for building a big SEO success story, but despite avoiding every black hat tactic leveraged by the typical ringtone spammers, Seattle-based Hark.com has kicked serious butt here. They generate millions of visits from more than 750K keyword phrases each month, and they’ve built a serious brand in an industry rife with manipulation.
- Kris specifically called out bridge rectifiers as being an impossibly boring industry, yet here’s AllAboutCircuits, who shows up on page one for virtually every diode-related search. There’s nothing fancy there, either – it’s just great content, like this one on rectifier circuits. The illustrations are detailed, the content is awesome and they follow an almost-Wikipedia-like model to get contributors, many of whom link back.
I try hard, in my writing, my presentations and my professional contributions to this industry to be warm, generous and understanding. But, black hats telling the world that they turned their back on white hat because it’s impossible is a load of crap, and I’m not feeling very empathetic toward that viewpoint.
Yes, white hat SEO, particularly in boring industries for non-established sites is a tremendous challenge. It requires immense creativity, huge quantities of elbow grease and a lot of patience, too. Black hat takes some creativity sometimes, but often it’s about finding or learning the tactic Google + Bing haven’t caught up to and applying it over and over until it burns down your site and you have to find another. Black hat is fundamentally interesting and often amazingly entertaining, much in the same vein as movies and TV shows featuring clever bank robbers. But a statment like this has no legs to stand on:
"… the longer I practiced and studied greyhat, the more annoyed I got with the piss poor advice and absolute falsehoods I saw being doled out by so called SEO experts to newbie’s who had no way of knowing that the advice they were soaking up was going to keep them at the back of the search engine results pages (serps) for the foreseeable future. Whitehat isn’t just a bit slower. It’s wishful thinking. It’s fucking irresponsible."
Thankfully, it’s easy to refute Kris’ points with hard, substantive examples (something his post doesn’t do at all).
Job searches are among the most challenging, competitive results in the SERPs. Back in 2008 (when we still had a consulting practice), we worked with the crew at Simply Hired to set up a long term strategy to win. It involved a syndication strategy with smart linking and anchor text, embeddable widgets, a search-friendly, crawlable site, a data-rich blog and a massive online brand building campaign, too. After 6 months, Simply Hired had improved rankings and traffic, but they certainly weren’t #1 across the board. Today, however, I’m incredibly proud of their progress and I continue to stay in touch with their team and help out informally when/where I can. They’re on page 1 for "job search," they rank for hundreds of thousands of job title + geo combinations and thanks to SEO (and dozens of other successful marketing + sales programs) they’re poised to be industry leaders in a massive market.
These strategies that worked for Simply Hired (and worked for other former SEOmoz clients like Yelp, Etsy and Zillow) aren’t some dark secret, either. I wrote a lengthy blog post explaining the process in depth in a post called Ranking for Keyword + Cityname in Multiple Geographies. And I’m not alone, blogs like those from SearchEngineLand, SEOBook, Distilled and all of these others give tremendously valuable advice day after day.
I think Kris owes us some examples of "piss poor advice and absolute falsehoods" being "doled out by so called SEO experts." I’ll agree that there’s some bad advice floating around the SEO world, and I’ll even admit to giving some myself (remeber when I thought XML Sitemaps were a bad idea?), but that’s a bold statement to make without any evidence.
Unfortunately, this next statement can’t be written off so easily:
"If you are charging your clients for service and not being competitive then you are ripping off your clients. It’s as simple as that. I know you whitehats are squirming in your seat right now shaking your little fists and saying, “It’s not sustainable. Our strategy is based around long term results!”. No, it’s not. Your strategy is based around wishful thinking and hoping that someday Google will do your job for you so you don’t have to. Until Google starts enforcing the rules, there aren’t any. And as long as that is true anyone who is not waiting around for them to be enforced is going to rank. Anyone who does wait around won’t. You have an obligation to your clients to do everything in your power to rank their sites using the most effective methods currently available to you."
He’s dead wrong on the false choice between either being black hat or "not using the most effective methods." A tax advisor that recommends quasi-legal, high-risk shelters might be using "the most effective methods," to protect wealth, but that doesn’t make his more responsible peers obligation-dodging sissies. Search marketers, whether in-house or consultant DO have an obligation, in my opinion, to know and understand the full spectrum of tactics, white hat or black, but we also carry the same responsibility as any other professional with specialized knowledge: to recommend the right strategy for the situation.
Unless your manager/company/client is wholly comfortable with the high, variable risk that comes with black hat SEO, you’d better stay clear. I’m also of the mind that there’s almost nothing black hat can accomplish that white hat can’t do better over the long run, while building far more value. Unless it’s "I want to rank in the top 5 for ‘buy viagra’ in the next 7 days," you’d better explain that you’re recommending black hat primarily because you’re not smart, talented and creative enough to find a white hat strategy to do it.
But, Kris makes a fair point with regards to Google (and Bing as well). The engines are not doing enough to stop spam + manipulation from black hat tactics. And, for as long as they fail on this front, there will be those seduced by Kris’ viewpoint (Kris himself used to be quite white hat). To be fair, they’ve done a good job on several fronts recently – pushing down low quality content farms in the Panda/Farmer update, making original content rank better, and putting more high quality brands in the SERPs (even if they’re not doing perfect SEO).
The biggest problem currently (IMO) are manipulative, black hat links through paid sources, automated link drops, reciprocal spam, article "spinning" (possibly my least favorite tactic on the rise), low quality directories, link "rings," etc. There’s not a lot of truly new types of black hat link manipulation, but the old ones are, tragically, working again in a lot of niches. I hope that’s next on Google’s + Bing’s radars. If it is, a lot of black hats are going to have some painful times, but I think that’s the only way to solve the problems webspam creates. One of my favorite parts of being a white hat is chearing for the search quality teams rather than against them, and getting that little bump in traffic every time they improve the quality of their algorithms.
Black Hat ≠ SEO
The last point of Kris’ I’ll tackle revolves around the jobs an SEO performs:
"If your main offering is quality content – YOU ARE NOT AN SEO, You are a writer. If you are billing your client SEO prices for writing services you are ripping them off. If you didn’t go to college for or otherwise study writing and literature and you are offering writing services to your client rather than advising them to hire someone who actually specializes and is trained in writing, you are ripping them off.
With the exception of very large sites, most onsite optimization opportunities can be identified and charted in an audit in a matter of a few days. Implementation in most cases won’t take very long either and doesn’t even really need to be conducted by an SEO if the audit is written up properly. What does that leave; content strategy and off-site SEO. The content strategy is just that… a STRATEGY, which can be handed off to a competent writer. If you are still charging your client after this point and you aren’t competing with all the tools available and you aren’t advising them of someone else who could or would, then you are doing your client a disservice."
These are ludicrous statements, but I think Kris realizes it and is simply using them to generate controversy. Anyone who honestly believes that the extent of an SEO’s job is to develop content strategies, audit for on-page SEO and build links has never done the job professionally.
I wrote a blog post back in 2007 highlighting why SEO is so hard. In it, I talked about the massive quantity of things that affect SEO and that number has only grown. Today, a responsible SEO needs to be thinking about:
- The business’ overall product, marketing and sales strategy and where SEO makes the most sense.
- Keyword research + targeting (a process that requires tools, patience, intuition, testing and experience)
- Funnel optimization (CRO has both direct and indirect SEO impacts these days)
- Testing + optimizing content for users (time on site, bounce rate, engagement, etc. all matter directly + indirectly, too)
- Content strategy (which ties into overall business strategy at the highest levels)
- On-page optimization (black hats were actually some of the earliest to notice that Google’s gotten so much smarter about on-page analysis than just keyword use and repetition, so I’m sure Kris knows how in-depth this process can be)
- Making the site search-engine friendly (a complex project even on many simple sites as features like faceted navigation, AJAX crawling, different treatment of Javascript/Flash and many, many more now exist)
- XML Sitemaps (we recently gave a 90 minute webinar on this topic that generated dozens of questions; it’s no fire-and-forget tactic)
- Analytics – visitor monitoring is just the start, there’s webmaster tools, link monitoring, brand/mention alerts, social media tracking and more
- Alternative search listings (local/maps/places, video, images, news, blogs, shopping, etc. Just one of these can be a full-time job.)
- Usability + user experience issues (since these can have a huge indirect and possibly direct impact on rankings)
- Reputation tracking + management
- Competitive research
- Social media marketing (FB shares are the most highly correlated metric we found to Google’s rankings. No SEO can afford to ignore social today, and that’s a massive strategic and tactical undertaking)
- Syndication, scraping, copyright and duplicate content issues
And hundreds of others.
If Kris thinks pounding links at a page until it ranks is the majority of his SEO responsibilities, I’m worried (Note: I don’t actually believe that; I’ve met Kris and he’s a very smart guy. Instead, I suspect significant hyperbole went into his writing). If anyone out there tells you this is how they’re going to do SEO, you’d better make sure they’re either a highly specialized contractor or find another provider who can help think holistically about all of the above.
Why We Can’t Ignore Black Hat Entirely
Last week, I was in Munich keynoting SMX and spent some time with a retiring black hat, Bob Rains (who’s moving to the White Hat world and joining TandlerDoerje in Germany). Bob and I were on a panel discussing some black hat social media tactics. In particular, Bob mentioned a tactic wherein he’d build Twitter + Facebook profiles for racehorses that would garner thousands of followers by making the profiles seem "more real than real" and even pretending to be "official" Twitter accounts for the horses. On gameday, he could then tweet/share a link to his gambling site to place bets on the horses, netting him big affiliate payouts.
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Marcus Tandler, Mikkel deMib, Johannes Beus, Bob Rains and Rand at SMX Munich
(Note: You can listen to the full panel, a mix of German + English, here)
To do this manipulative work, though, Bob had to work incredibly hard to have real conversations on these social sites, upload photos from events, tweet interesting stats and experiences that could be verified. In other words… He’s building great content!
My recommendation was simple – just call the account a "fan page" and suddenly, you’re 100% white hat. You’re building a great social profile; why not make it something Twitter/Facebook won’t shut down if they get word of it from the real owners? Why not go one extra step, remove the "official" title and BE white hat! Yes, you might have a slightly harder time building up the profiles, but they’ll last forever! You can sleep at night!
I highlight this story because it perfectly illustrates how close black and white hat marketing often are. It also shows why I love talking to black hats and learning from them. There’s almost always a way to take the knowledge and experiences from black hats (the best of whom, like Bob, are often massively creative) and apply it in white hat ways.
Three weeks prior, in London and then New Orleans, Distilled hosted a one-day intensive seminar on link building (posicionamiento web). One of the talks at each event was called "Lessons from the Dark Side: What White Hats can Learn from Black Hat SEO." Two presenters, Martin Macdonald (in London) and Kris Roadruck (in NOLA), gave talks about their experiences with webspam’s effectiveness, limitations and takeaways. I thought both presentations were excellent – they clearly indicated the danger of black hat SEO (Kris’ deck started with almost a dozen slides about how + why not to do what he showed), but didn’t pull any punches in showing the ups and downs of a spammer’s life.
SEOs have a responsibility to understand and appreciate how and why black hat SEO operates. It’s certainly not the first or most important step in an SEO education, but it’s part of being a true professional. No one who does IT consulting would neglect to understand hacking + malicious attacks. No one who does public relations avoids studying the manipulative parts of their field. Even in industries like construction and contracting, it pays to understand how, why and when shoddy work and cut corners happen. So too must professional, white hat SEOs know the range of tactics at play in our field.
A few months back, I answered a related question on Quora:
Knowing more about each of those practices listed can make you a better SEO. I’m not someone who pretends to have great expertise in this field, but every time I hear a black hat share a successful tactic (that isn’t illegal or just drive-by spam), I learn something and am often able to come up with a way to leverage the same effect in a white hat way.
Why White Hat is Always Better
There’s very few things in the world that I perceive as wholly black + white. Spamming the search engines vs. authentic, organic marketing, however, is one of them.
It’s my opinion that for real brands and real businesses, the choice of going 100% white hat will pay massive dividends every time. Here’s why:
- There’s always a better way to spend that time + money. Spam isn’t free or easy, despite the image some black hats portray. When I hear about the actual costs and time commitments black hats invest, I’m blown away. For not much more time, and often less money, those same businesses and sites could invest in long-term, high value white hat tactics. Many just lack the creativity and willingness to do the hard work, others are seduced by the quick win or ignorant of the options available to them.
- White hat builds exciting companies, spam doesn’t. With a very small number of execptions, spam doesn’t build exciting, scalable, long-term companies. It creates relatively small amounts of temporary wealth. If you’re unwilling to trade short term gains for long term success, you’re probably hurting the online ecosystem – none of us should endorse that behavior.
- White hat rankings can be shared. That means never having to sweat hiding dirty secrets, protecting your tactics or link sources, jumping through hoops to keep your footprint anonymous or refraining from showing off your site. The benefits of transparency improve your ability to do PR, branding, networking and all of those, in turn, help SEO.
- Spam always carries risk. Whether it’s tomorrow, next month or 3 years from now before you’re knocked out of the search engines, it will happen. You can invest in multiple sites and tactics, shore up defenses and build anonymity to hide your online profile, but honestly, if you applied that creativity and effort to white hat…. Just saying.
- You’re renting rankings rather than buying them. Devaluation of spam tactics means you have to stay one step ahead of the engines, and can never spend a week free from sweating what will and won’t be found. White hat may take longer, but, if done right, it can build an unassailable position of strength long term.
- Reliability in the spam world sucks. The people who sell spammy links or offer spam services are nearly always fly-by-night operations, moving from one business model to the next. Spammers are almost never long-term operators.
- Any victory is a hollow one. I don’t just mean in a touchy-feely way, I mean that no matter how many times you rank well with spam or how much you make, it’s just money (and often far too little to sustain you, meaning you’ve got to go do more tomorrow). You’re not building something real, long-lasting and sustainable and you’re rarely fulfilling any of the other requirements for job satisfaction or happiness.
- The money’s not that good. Ask yourself who the most prolific, talented, high profile spammers are in the world. I can name a good dozen or so and none of them are retired, only a few are millionaires and not a one, to my knowledge, has done 8 figures (excluding a few truly dark hatted individuals who’ve earned their money from porn empires or illegal activities).
- There is legal danger. I hesitate to bring this up because some folks in the search sphere have over-emphasized this danger. However, the FTC, the British government and the EU all have regulations about disclosure of interests, and a lot of link buying and link spamming behavior violates these guidelines. We’ve yet to see serious enforcement, but personally, I have no tolerance for risk of this kind, and I suspect many others don’t either.
- Spam never builds value in multiple channels. What I love about the inbound/organic marketing philosophy is how it builds a site that attracts authentic traffic from hundreds of sources, often without any additional work. Spamming your way to a #1 ranking might send search traffic, but if the web shifts to Facebook/Twitter or if email marketing becomes the biggest tactic in your niche, or if a competitor wins purely on branding and branded search, you’re up a creek. You’ve built nothing of real value – nothing to make people come back and share and like, +1, tweet, link, email, stumble, vote for, shout to the heavens about. Spam builds a shell of a marketing strategy; one crack and it’s all over.
The graphics below were in a slide presentation I made, but they’re worth repeating here:
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Who ranks #1 for "online dating?" It’s not a black hat, but a site that found a genius way to become a content and media hub, OKCupid. How about "buy shoes online," one of the top converting terms in the apparel industry. It’s Zappos, a brand that’s put customer service, great product and a unique business model part of their SEO (big props to Adam Audette, who’s made them a shining star in the SEO e-commerce world). Or "real estate values," an incredibly competitive term that’s only risen in popularity with the market crisis? It’s Zillow. Or "travel blog site," where some brilliant viral marketing earned Travelpod the top position. Or "art prints," where Benchmark-backed Art.com outranks even the exact match domain.
I could go on and on and on. The sites that people WANT to click on in the results. The ones that make searchers, technologists, marketers and search quality engineers happy are sites that deserve to rank. When you build a brand that does that and optimize in a way that no webspam engineer would ever want to discount, you’ve built a true competitive advantage in SEO. Black hat is, much of the time, a sad excuse for a lack of creativity, discipline and willingness to invest in the long term.
Here’s to hoping the SEO industry continues to grow, flourish and attract brilliant, creative minds. Over the past 9 years of my career in the field, I’ve seen great progress, but not enough. I can promise that I, SEOmoz and our partners are going to do everything in our power to bring greater legitimacy, value and econmic opportunity to the field of search + inbound marketing. It’s a fight I look forward to every day.
I’d love to hear from you in the comments about why you’re a white hat, and if you do it, what success you’ve had (and feel free to link to your site).
p.s. I put out a call on Twitter for great white hat sites ranking for competitive phrases and received some terrific responses:
- Online budget app, Budget Simple has a well-designed site and top 3 rankings for "online budget" and "free online budget," competing against the likes of Mint and Intuit.
- Mini Mave in Denmark has legendary SEO Mikkel deMib as a partner and top rankings for competitive terms like "Gravid" (Danish for "pregnant"). Last year, they recorded over a million keywords sending many millions of visits to the site.
- TPMS maker, Orange Electronic has only been around for a few months, but is already ranking for electronic tire pressume monitoring systems and the common acronym TPMS off some great, authentic links from press, media and government sources.
- Science equipment supplier Edmunds has a great site with links that rock and a brand that’s trusted throughout the community. Their rankings for hyper-competitive searches like "science equipment" and "scientific supplies" along with a massive long-tail presence show the power of white hat in e-commerce niches.
- Online appliance retailer 8Appliances just started their online marketing (marketing online), but they’ve already had success, earning more than 50,000 search visits monthly from top 10 rankings for queries like "miele kitchen appliances" (in Google Australia).
- Mexican-focused travel site JourneyMexico has been having a lots of success in niche search results like "cultural travel mexico" and with their awesome blog.
White hat can be done, even in boring industries or for competitive queries. Anyone who says otherwise isn’t telling the truth.
p.p.s This week I’m speaking at SMX Sydney. My first talk (originally Bing vs. Google ranking factors) has changed from the program’s listing and will now be on Black Hat / White Hat SEO. If you’re in Australia (or nearby), you should definitely attend.
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SEOmoz Daily SEO Blog