Posted by Roy Glasberg, Global Lead, Launchpad Accelerator We’re delighted to open our call for applications for the third class of the Launchpad Accelerator. If you are a late-stage app startup from Brazil, India, Indonesia, or Mexico, we encourage you to apply here by October 24, 2016. Based outside of these countries? Stay tuned, as we expect to add more countries to the program in the future! The equity-free program will begin on January 30, 2017 at the new Google Developers Launchpad Space in San Francisco and will include 2 weeks of all-expense-paid training. What are the benefits? During the kick-off bootcamp we deliver in-depth technical and business mentoring that enables our startups to tackle their specific challenges and successfully scale. Launchpad mentors hail from around the world and more than 20 teams across Google. In total, startups receive access to Google’s expertise and resources for 6 months. What do we look for when selecting startups? Each startup that applies to the Launchpad Accelerator is considered holistically and with great care. Below are general guidelines behind our process to help you understand what we look for in our candidates. All startups in the program must:
Additionally, we are interested in what kind of startup you are. We also consider:
We look forward to learning more about your startup and working closely with you on building a successful business that has both a local and global impact. via Google Developers Blog http://developers.googleblog.com/2016/09/apply-now-for-the-google-developers-launchpad-accelerator.html
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We’re now less than two months away from MarTech Europe, which will take place in London on 1-2 November, and my anticipation is building. The high-velocity exchange of ideas and experiences at MarTech always teaches me so much about the rapidly evolving practice of marketing technology in B2B and...
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Enterprise search software can provide powerful insights and management capabilities, but do you really need it? Columnist Ian Bowden discusses the most common features of these platforms and why you might (or might not) want to invest in them. The post Should you still be using an SEO enterprise...
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Need to improve your SEO processes for scalability? Columnist Jim Yu shows how the Six Sigma framework can help. The post SEO Six Sigma: 5 ways to scale your enterprise operation appeared first on Search Engine Land.
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To be considered for inclusion, sites will need to use review snippet markup. The post Google adds ‘Reviews from the web’ to critic reviews in local search results appeared first on Search Engine Land.
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With events scheduled to last through September 18 in Rio, this is the first Paraolympics hosted in a Latin American city. The post Start of the 2016 Paralympics gets a Google doodle appeared first on Search Engine Land.
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/start-2016-paralympics-gets-google-doodle-258307 Posted by Everett Quality and relevance are different things, yet we often discuss them as if they were the same. SEOs have been optimizing for relevance all this time, but are now being asked to optimize for quality. This post will discuss what that means and how to do it, with a focus on what I believe to be the single most effective and scaleable tactic for improving your site's overall level of quality in most situations. First, let's establish what we're talking about here, which is quality. You can have relevancy (the right topic and keywords) without quality, as shown here: "...babies are sensitive, delicate individuals who need cautious. So choosing a right Chairs For Baby is your gentle care." WTF? It doesn’t matter how relevant the page is. The only way to get that page to rank these days would be to buy a lot of links, but then you're dealing with the added risk. After a certain point, it’s just EASIER to build a better site. Yes, Google has won that battle in all but the most hyper-competitive niches, where seasoned experts still find the reward:risk ratio in their favor. OK, now that we've established that quality and relevance are different things, but that you need both to rank, how do you optimize for quality?
There are many ways to improve the quality of your site. Some are obvious. Others are more abstract. All of these quality indicators together make up your site's overall level of quality. For more, check out the keyword agnostic ranking factors and the engagement metrics from SimilarWeb areas in the Moz Search Engine Ranking Factors report. We've already established that Google knows the relative quality of a page. Let's assume — because it is very likely — that Google also knows the relative quality of your entire site. And let's call that your sitewide QualityRank (QR) (h/t Ian Lurie, 2011). What's the most effective, scalable, proven tactic for improving a website's QR?In a word: Pruning.Learn more about it here. Pruning requires doing a content audit first, which you can learn more about here. It's nothing groundbreaking or new, but few clients come in the door that can't substantially benefit from this process. Sometimes pruning is as easy as applying a robots.txt noindex tag to all pages that have had zero organic search traffic over the course of a year. You may be surprised how many enterprise-level sites have huge chunks of the site that fit that criteria. Other times it requires more analysis and tougher decisions. It really all depends on the site. So let's look at some pruning case studies.Three things to remember: 1. Significant portions of the sites were removed from Google's index. 2. Pruning was not the only thing that was done. Rarely do these things happen in a vacuum, but evidence points to pruning as a major contributor to the growth examples you're about to see. 3. You can read more about Inflow's research in our case studies section. We're not the only ones finding success with this. Go check out the Ahrefs case study for another example. Here's a compelling image from their case study: If you weren't already convinced, I hope by now it's clear that performing a content audit to determine which pages should be improved and which should be pruned from Google's index is an effective and scalable SEO tactic. That being established, let's talk about why this might be. Does QualityRank actually exist as a calculation in Google's organic algorithm? Probably not under that name and not in this simplistic form. But it DOES seem likely that something similar would exist, especially since it exists for PPC. The problem I have with the PPC equivalent is that it includes relevance factors like keyword use in their metric for "quality." Google needs a way to measure the overall quality level of each site in order to rank them properly. It's just probably much more mathematically complicated than what we're talking about here. The point of discussing QualityRank as a framework for pruning is to help explain why pruning works. And to do that, we don't need to understand the complex formulas behind Google’s ranking algorithms. I doubt half of the engineers there know what's going on these days, anyway. Let’s imagine a site divided into thirds, with each third being assigned a QualityRank (QR) score based on the average QR of the pages within that section. The triangle below represents all indexable content on a domain with a QR of 30. That sitewide QR score of 30 comes from adding all three of these sections together and dividing by three. In the real world, this would not be so simple. This is the same site after removing the bottom 50 percent from the index: Notice the instant lift from QR 30 to QR 40 just by removing all LOW QR pages. That is why I say pruning is the most effective way to raise your site’s overall quality level for better rankings, IF you have a lot of low-quality pages indexed, which most sites do. Time to switch analogiesPruning works because it frees up the rest of your content from being weighed down by the cruft. "Cruft" includes everything from a 6-year-old blog post about the company holiday party to 20 different variants with their own landing pages for every product. It also includes pages that are inadvertently indexed for technical reasons, like faceted navigation URLs. Remove the bottom half of this iceberg and the rest of it will "rise up," making more of it visible above the surface (i.e. on the first 2–3 pages of Google). The idea of one page being weighed down by another has been around at least since the first Panda release. I'm not writing about anything new here, as evidenced by the many resources below. But I’m constantly surprised by the amount of dead weight most websites continue to carry around, and hope that this post motivates folks to finally get rid of some of it. Your choices are many: 404, 301, rel ="canonical", noindex, disallow... Some of the resources below will help you decide which solutions to use for your unique situation. Pruning for SEO resources:
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Caught by the Penguin anti-spam filter and fixed your site? Here's how long you've been waiting for a chance to be released. The post How many days has it been since the last Google Penguin Update? appeared first on Search Engine Land.
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The revised security reports in the Google Search Console promise to provide more specific explanations and insights into the issues. The post Google Search Console improves Security Issues reports appeared first on Search Engine Land.
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Below is what happened in search today, as reported on Search Engine Land and from other places across the web. The post SearchCap: Not Google Penguin, Google local update & Shop the Look Google ads appeared first on Search Engine Land.
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/searchcap-not-google-penguin-google-local-update-shop-look-google-ads-258257
Reporting feature makes it easier to monitor performance across multiple campaigns. The post Google rolls out Campaign Groups in AdWords appeared first on Search Engine Land.
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As consumers increasingly use their smartphones to research, browse, and connect with businesses, brands are developing a newfound respect for the inbound call as an integral part of the conversion path. This 39-page MarTech Intelligence Report examines the current market for enterprise call...
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/enterprise-call-analytics-platforms-buyers-guide-updated-2016-258236
Classes are in session, and not just for the kids. Polish your SEO & SEM skills at any of the four incredible full-day workshops on Monday, September 26. All workshops are held the day before SMX East kicks off in New York City. Here’s a preview: Advanced AdWords Training: Paid search continues...
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Looks are culled from partners including Polyvore and Curalate with related products featured in Shopping ads. The post Google testing mobile Shop the Look ads for apparel & home products appeared first on Search Engine Land.
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Google's John Mueller told us to cross off Penguin from the list of explanations for the Google update from this past Friday. The post Google said Friday’s update was not due to the Penguin algorithm appeared first on Search Engine Land.
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Seeing a shift in Google's local results? It's not just you. Columnist Joy Hawkins documents what appears to be a recent refresh to Google's local ranking filter. The post Is Google filtering your business in the local search results? appeared first on Search Engine Land.
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There are many great software options for automating local search tasks, but columnist Andrew Beckman argues that a human-managed approach may still be necessary to see results. The post Local SEO in 2017 and beyond: managed strategy vs. automation appeared first on Search Engine Land.
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/local-seo-2017-beyond-managed-strategy-vs-automation-257690 Posted by larry.kim One of the biggest areas of speculation, contention, and confusion within the SEO universe over the past six years or so has been whether (or how much) social media signals impact organic search rankings. But even if Google isn’t directly using social share counts in their search algorithms, there ought to be some other explanation out there about why high share counts correlate with high organic search rankings. Well, that is exactly what we’re going to research in this post. Are social shares a ranking signal?People have noticed the connection between social shares and ranking going back to 2010. But correlating rankings and social signals has been a bit of a cat-and-mouse game. If you’ve done any SEO at all, you’ve probably noticed that the stories that rank well tend to have high social share counts. These are your unicorns – the extremely popular magical pieces of content that drive a ridiculous amount of traffic to your site. These types of elite "unicorn" content drive 10-1000x better results than all your other content (the donkeys). Why do top-performing posts often also have a high number of shares? What exactly is causing these observable correlations? Some SEOs believed that Google was somehow factoring social share counts into the algorithm like links (though not with nearly the same amount of weight). Social shares figured into Moz's Search Engine Ranking Factors 2015, albeit as a low factor: "Always controversial, the number of social shares a page accumulates tends to show a positive correlation with rankings. Although there is strong reason to believe Google doesn’t use social share counts directly in its algorithm, there are many secondary SEO benefits to be gained through successful social sharing." Indeed, there is a strong reason to believe Google doesn't use share counts as a direct ranking factor. Google has said so. Repeatedly and emphatically. Google doesn't use Facebook, Twitter, or any other social share counts as a direct ranking factor. It's not shares, it's engagementWe need a new approach to answer these important questions. Maybe we’re looking at the wrong social metrics. Maybe we should be looking at social engagement rates rather than just the total number of social shares. What percentage of total unique people who saw your update clicked on it and/or shared it? Perhaps the relationship is that the social posts that get very high engagement rates (which leads to high numbers of shares) come from the same content that get above-average click-through rates in organic search results pages, which we know tends to result in better organic rankings. But how can we test this theory? A crazy new correlation study: Social engagement, organic search CTR, & rankingsSo here’s my crazy idea: to compare social engagement rates with normalized organic click-through rates for 1,000 pages. Previous studies have only looked at external-facing number of shares. But bots and other factors can easily taint share counts. Plus, studies have shown that many social media users share content without actually reading it. How did I do this? I:
Important note: You have to normalize your CTR for search based on position. Obviously higher average positions have higher CTRs than lower positions, so I’ve used my Donkey detection algorithm to compute the expected CTR by position to help determine whether the CTR is above or below expectations. The results: Organic search CTR vs. Facebook post engagementHere's what I'd consider a pretty strong link between higher social post engagement and higher organic CTR (and vice-versa): Here, a 100% Relative Search CTR corresponds to a keyword/page achieving the expected CTR for organic search for a given ranking; 200% percent is double the expected search CTR; 50% is half the expected CTR, and so on. What I found was that Facebook posts with extraordinarily high engagement rates – anywhere from 6 to 13 percent – also tended to have above expected organic search CTR. Why? My theory: The same emotions that make people share things also make people click on those things in the SERPs. This is particularly true for headlines with unusually high CTRs. The correlations were much stronger with unicorn content. The R-squared values were well above 0.5 – the model is stronger the more of an outlier you're pushing. Unicorns with high social engagement rates almost always had high organic CTR, and vice versa. The correlations were substantially weaker with donkey content. The R-squared values were pretty noisy, around .1 to .4. Donkeys sometimes had high engagement rates, sometimes low engagement rates. The same was true with CTR, some high, some low. So this research illustrates how high social engagement rates correlate with high CTR, and vice versa. Really, the argument isn't whether social sharing causes organic search rankings or organic rankings cause social sharing. It's about how engaging your content is. Actual examplesTheory is great. But let's see if the theory matches by looking at some top-performing content. Here are just three examples of posts from my company that have top organic rankings on Google and above-expected organic CTR. What was the engagement rate on Facebook? This post has brought in nearly 500,000 visits from organic search. It had a 7.4 engagement rate on Facebook. OK. Once is just a fluke. This post brought in more than 250,000 visits from organic search. It got an 8.5 engagement rate on Facebook. Two times? Could just be a coincidence. This piece brought in 100,000 organic visits. It had a 7.1 percent engagement rate when shared on Facebook. Guys, now we have a trend! All of these posts that rank well had 3x or 4x higher engagement than my average Facebook post. I could keep posting more examples like these, but it would be more of the same. Correlation or causation?What is causing the correlation? There is one thing that makes me certain that the relationship between social engagement and organic click through rates is a co-dependent, causal relationship. Machine learning. Machine learning systems actually reward high engagement with higher visibility. Higher visibility means higher organic rankings and more social shares. To determine success, an algorithm looks at whether users engaged. If more people engage, that's a clear sign that their algorithm is showing this right content; if not, their systems will audition other content instead to find something that does generate that interest. Here's a greatly simplified look at the role machine learning systems play in the Facebook news feed and Google search results. Basically, it's all about rewarding content that has above-expected engagement: When a piece of content fails to beat the expected engagement, it won't get that same visibility, whether it's on Google, Facebook, or any other system that measures user engagement. Whenever someone searches on Google for something, Google wants to return the best result. Out of all the potential results Google could show for any given query, Google must find what's most useful and relevant. One way Google checks itself is to look at organic click-through rate (but not the only way!). Did users click on the result in Position 1, or did more people click on the Position 2 or 3 result? Even though all three of these pages may answer a user's need, click-through rate is a huge clue about whether Google is providing the best answers in the right order for users. Now let's think about Facebook. Whenever a piece of content gets hot, it means lots of people are talking about it relative to the number of people who see it, in a short period of time. Are tons of people liking, commenting, and sharing a post? When this happens, Facebook's machine learning algorithm gives these posts or topics greater visibility. It becomes a virtuous cycle:
What to do?Turn your best social stuff into organic content and vice-versa. Since stuff that does well on organic social tends to also do great in paid social, it follows that your content that gets top organic rankings will make great content for paid and organic social. Conversely, your content that gets tons of engagement on social media platforms (paid and organic) will likely rank highly organically for the topics that they cover. These unicorns I've been obsessing about forever matter. Big time. Is your content a sparkly majestic unicorn or a boring old donkey? At the heart of a unicorn is a truly remarkable, inspiring idea. Truly exciting ideas (not just ideas you think are awesome). Content with remarkably high engagement rates has high conversion rates and does incredibly well in paid and organic search and social media, because of machine learning systems that greatly reward remarkably high user engagement. ConclusionThe old theory was that high social shares correlates with high organic rankings. But really it's not the number of shares that matters. It's the engagement rate. Remarkably high social engagement rates correlate strongly with high organic search CTR, which correlates with high rankings. Meaning, click-through rate matters a great deal. Think of it like an invisible hand that helps determine whether your content succeeds (thumbs up) or fails (thumbs down). What’s happening here is that Facebook Ads, Facebook's news feed algorithm, Google AdWords, and increasingly Google organic search are all systems governed by machine learning systems that reward remarkable engagement with greater visibility. High engagement rates and machine learning systems are the common factor that explains the correlation between SEO and social metrics. What do you think? Do your very best-performing pieces of content get tons of social shares, have a high social engagement rates, and drive a ton of traffic from organic search and convert well? 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! via The Moz Blog http://tracking.feedpress.it/link/9375/4345953
Duplicate content can often arise without our knowledge, despite our best efforts to prevent it. Columnist Stephanie LeVonne shows how you can identify and fix it. The post Don’t get duped by duplicate content: 8 quick checks for every SEO appeared first on Search Engine Land.
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Today's Google logo has been switched out with a doodle depicting men and women at work. The post Labor Day Google doodle marks holiday honoring the American workforce appeared first on Search Engine Land.
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/labor-day-google-doodle-marks-holiday-honoring-american-workforce-258171 Posted by bridget.randolph Here at Distilled NY we’ve been running a hiring cycle, and it’s really brought front and center for me the key elements that make a digital marketing (and specifically SEO) candidate stand out from the crowd. So I wanted to share a few things I’ve learned in the process. For the purpose of this post, I’m going to tackle this topic from two angles (with 5 points on each, in true "10 Things I’ve Learned…" style): Part I: 5 attributes I now look for in any new analyst or consultant hire (and what you as an employer might want to think about before making someone an offer), and Part II: 5 things to consider as a job seeker if you’re applying for a role at a company like Distilled. I should also note that this post is based on my own personal approach and viewpoint, rather than representing any kind of official Distilled documentation. What I look for in a new SEO hireAt Distilled, we hire for SEO consultants at two levels — analyst (entry-level) and consultant (3+ years experience). The core elements we look for are the same for each, but for consultants there’s obviously also an expected baseline of technical knowledge. There are four key skillsets we look for when we evaluate a candidate throughout this process (based on our Distilled manifesto), in addition to their level of technical knowledge. These are some questions that I've found useful to ask myself (not necessarily the candidate!) when identifying whether someone is a good fit in each of these areas. Note that no single one of these questions will necessarily make or break the outcome, but taken all together they can provide a relatively strong indicator of the level of the candidate in each area: 1. Communication skills
2. Getting things done
3. Raw smarts and curiosityNote that what I call "smartness" is not necessarily academic achievement, book learning, etc.
For me, this “smartness” piece really comes down to the curiosity part. I want to work with people who are always asking why, and who get excited about discovering new ideas or learning new skills. These people make great consultants. 4. Culture fit
5. Technical knowledgeIf you’re applying at the consultant level, I will also test your technical knowledge and experience. Examples of the type of technical questions I’ll ask on the initial phone screen are:
There aren’t necessarily any right answers for most of these tasks, but if you don’t mention any of the common tools that we use frequently in the SEO space, even just to tell me why they’re not your tool of choice, that’s a red flag for me that you’re not particularly experienced. Bonus points if you can also tell me why you do or don’t use certain tools. If a candidate moves forward to an in-person interview, we’ll dig a little deeper on technical expertise. As part of this, we will provide some common client-based scenarios and ask for your process for how you might approach the scenario. There is usually no one right answer, but if it’s a diagnostic problem, there are certain steps or sense-checks I would expect every competent SEO consultant to take before making a recommendation. For instance, if I give you a scenario around how to handle duplicate content from faceted navigation, where the client has asked for separate pages for 10 color variants of the product across thousands of products, I would expect you to at least mention the following:
We will also ask technical questions which do have clear right and wrong answers, to ensure that you have the baseline of knowledge that we would expect an analyst to achieve before we would be able to promote him or her to consultant. These are not always particularly challenging questions, but surprisingly, a lot of candidates get them wrong. An example of this type of question would be something like "Can you explain how Google search works to someone with limited technical knowledge?," "Can you draw an example of a SERP layout on the whiteboard?," or "How would you set up a robots.txt file to block these pages and folders?" How to be a great SEO candidate (agency-specific)Of course, all of the above applies equally as an applicant in terms of things to think about in preparation for an SEO interview. In fact, if you're preparing for an interview like this, you may want to think about how you would respond to each of the questions I’ve outlined above, and how you could tell stories that would demonstrate these 5 key attributes that we’re looking for. The four main criteria are pretty universally valuable attributes in any workplace — and they’re also key indicators in my experience of whether a candidate will succeed in this specific type of role, and especially in an agency environment. But! I promised you 10 things in the title of this post, so here are 5 applicant-specific things I’ve learned recently from seeing the process from the other side: 1. Don’t bullshit.Be honest if you don’t know something. Especially at the analyst level, we’re looking for people we can train, and honesty about where you’re at is essential to that process. 2. Stay on point.I need to see that you can communicate clearly with a client and outline the 5 Ws of a recommendation or strategy, without getting lost in unnecessary detail or losing your train of thought. 3. Don’t try to guess what answer I’m looking for.I want to understand your thought process. It’s obvious when you’re just trying to tell me what I want to hear — because you’re not speaking with authenticity or conviction. This one ties into the first two, because when you try to guess what I’m looking for, it also makes it harder to stay on point. You end up waffling and um-ing and ah-ing because you’re trying to feel your way to my point of view instead of presenting your own opinion. It’s an easy mistake to make when you get nervous, so a tip for dealing with the nerves is to just take a quick second to breathe before you answer, and check in with yourself about how you really feel about the topic. And if the answer is "I don’t know the answer" — that’s ok. Feel free in that case to talk about how you might approach figuring out the answer, though — if we’re going to be working together I want to know that you’ll be proactive enough to find out the answer, or at least have an idea of where to start when you get stuck! 4. Don’t try to “win” the interview.Don’t go in with the end game of getting the offer. Go in with a sense of what you’re looking for in your next position and approach this time we’re spending together as an opportunity for us to explore together whether the role and the company is a good fit for you. I’ve made this mistake in both directions, as an interviewee prior to my current role and more recently sometimes as an interviewer (because I want you to like me, too!). Remember: I really want you to be the perfect fit for what I need! So I’m not out to trip you up — in fact, if I can help you perform well, I will. For instance, if you don’t quite seem to understand the question, or if I don’t quite hear what I was hoping for, I’ll rephrase the question differently to help you see what I’m getting at and see if we can get there together. If you still don’t manage to get there when we give you that support, though, at that point it’s pretty clear that we aren’t a good fit. 5. Do the research.We once interviewed someone for a sales role, and we asked them if they knew what services Distilled offered. She clearly didn’t know but tried to answer anyway, and went on to guess a couple correctly but then threw in a third service which is not a specialty of ours and is not advertised publicly as a service we provide. To me this showed a basic lack of preparation which I would view as necessary in any sort of consulting or sales-based role, and it was one of the reasons I didn’t recommend moving her forward in the process (although not the only reason). So there you have it — 10 things I’ve learned recently about hiring and applying for SEO jobs! I hope that you’ve found this post helpful, regardless of which side of the table you’re currently finding yourself on. I’d love to hear your best tips and worst experiences in the comments ;) and if you’re looking for a new opportunity, and this process sounds like something you’d like to explore further, check out our Jobs page for current openings! 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! via The Moz Blog http://tracking.feedpress.it/link/9375/4337140
Below is what happened in search today, as reported on Search Engine Land and from other places across the web. The post SearchCap: Google algorithm update, SEO business & PPC updates appeared first on Search Engine Land.
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/searchcap-google-algorithm-update-seo-business-ppc-updates-258152
Search engine optimization (SEO) can deliver strong results for every client, but columnist Marcus Miller explains why it may not be right for every business or every situation. The post Is SEO right for your business? appeared first on Search Engine Land.
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/seo-right-business-257915
The SEO community is vigorously talking about two Google updates, one with the core web search results and one with the local pack results. The post Is a big Google search update happening? Chatter thinks so. appeared first on Search Engine Land.
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/big-google-search-update-happening-chatter-thinks-258142
PPC is about more than just managing accounts -- it's about managing client relationships, too. Columnist Matt Umbro provides some advice for how to talk to your clients about industry updates and account issues. The post How you can better communicate PPC industry updates to clients appeared...
Please visit Search Engine Land for the full article. via Search Engine Land: News & Info About SEO, PPC, SEM, Search Engines & Search Marketing http://searchengineland.com/can-better-communicate-ppc-industry-updates-clients-257213 |
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