Tuesday, June 28, 2016

Facebook Redesigns Like Button by @DannyNMIGoodwin

The Facebook Like has a new look. The redesigned button replaces the "f" with the familiar thumbs up icon. Like counts appear within the new blue button.

The post Facebook Redesigns Like Button by @DannyNMIGoodwin appeared first on Search Engine Journal.

10 Illustrations of How Fresh Content May Influence Google Rankings (Updated)

Posted by Cyrus-Shepard

[Estimated read time: 11 minutes]

How fresh is this article?

Through patent filings over the years, Google has explored many ways that it might use “freshness” as a ranking signal. Back in 2011, we published a popular Moz Blog post about these “Freshness Factors” for SEO. Following our own advice, this is a brand new update of that article.

In 2003, Google engineers filed a patent named Information retrieval based on historical data that shook the SEO world. The patent not only offered insight into the mind of Google engineers at the time, but also seemingly provided a roadmap for Google's algorithm for years to come.

In his series on the “10 most important search patents of all time,” Bill Slawski's excellent writeup shows how this patent spawned an entire family of Google child patents–the latest from October 2011.

This post doesn't attempt to describe all the ways that Google may determine freshness to rank web pages, but instead focuses on areas we may most likely influence through SEO.

Giant, great big caveat: Keep in mind that while multiple Google patent filings describe these techniques - often in great detail - we have no guarantee how Google uses them in its algorithm. While we can't be 100% certain, evidence suggests that they use at least some, and possibly many, of these techniques to rank search results.

For another take on these factors, I highly recommend reading Justin Briggs' excellent article Methods for Evaluating Freshness.

When “Queries Deserve Freshness”

Former Google Fellow Amit Singhal once explained how “Different searches have different freshness needs.”

The implication is that Google measures all of your documents for freshness, then scores each page according to the type of search query.

Singhal describes the types of keyword searches most likely to require fresh content:


  • Recent events or hot topics: “occupy oakland protest” “nba lockout”

  • Regularly recurring events: “NFL scores” “dancing with the stars” “exxon earnings”

  • Frequent updates: “best slr cameras” “subaru impreza reviews”

Google may determine exactly which queries require fresh content by monitoring the web and their own huge warehouse of data, including:


  1. Search volume: Are queries for a particular term spiking (i.e. “Earthquake Los Angeles”)?

  2. News and blog coverage: If a number of news organizations start writing about the same subject, it's likely a hot topic.

  3. Social media: A spike in mentions of a particular topic may indicate the topic is “trending.”

While some queries need fresh content, other search queries may be better served by older content.

Fresh is often better, but not always. (More on this later.)

Below are ten ways Google may determine the freshness of your content. Images courtesy of my favorite graphic designer, Dawn Shepard.

1. Freshness by inception date

Initially, a web page can be given a “freshness” score based on its inception date, which decays over time. This freshness score may boost a piece of content for certain search queries, but degrades as the content becomes older.

The inception date is often when Google first becomes aware of the document, such as when Googlebot first indexes a document or discovers a link to it.


"For some queries, older documents may be more favorable than newer ones. As a result, it may be beneficial to adjust the score of a document based on the difference (in age) from the average age of the result set."
– All captions from US Patent Document Scoring Based on Document Content Update

2. Amount of change influences freshness: How Much

The age of a webpage or domain isn't the only freshness factor. Search engines can score regularly updated content for freshness differently from content that doesn't change. In this case, the amount of change on your webpage plays a role.

For example, changing a single sentence won't have as big of a freshness impact as a large change to the main body text.


"Also, a document having a relatively large amount of its content updated over time might be scored differently than a document having a relatively small amount of its content updated over time."

In fact, Google may choose to ignore small changes completely. That's one reason why when I update a link on a page, I typically also update the text surrounding it. This way, Google may be less likely to ignore the change. Consider the following:

"In order to not update every link's freshness from a minor edit of a tiny unrelated part of a document, each updated document may be tested for significant changes (e.g., changes to a large portion of the document or changes to many different portions of the document) and a link's freshness may be updated (or not updated) accordingly."

3. Changes to core content matter more: How important

Changes made in “important” areas of a document will signal freshness differently than changes made in less important content.

Less important content includes:


  • JavaScript

  • Comments

  • Advertisements

  • Navigation

  • Boilerplate material

  • Date/time tags

Conversely, “important” content often means the main body text.

So simply changing out the links in your sidebar, or updating your footer copy, likely won't be considered as a signal of freshness.


"…content deemed to be unimportant if updated/changed, such as Javascript, comments, advertisements, navigational elements, boilerplate material, or date/time tags, may be given relatively little weight or even ignored altogether when determining UA."

This brings up the issue of timestamps on a page. Some webmasters like to update timestamps regularly - sometimes in an attempt to fake freshness - but there exists conflicting evidence on how well this works. Suffice to say, the freshness signals are likely much stronger when you keep the actual page content itself fresh and updated.

4. The rate of document change: How often

Content that changes more often is scored differently than content that only changes every few years.

For example, consider the homepage of the New York Times, which updates every day and has a high degree of change.


"For example, a document whose content is edited often may be scored differently than a document whose content remains static over time. Also, a document having a relatively large amount of its content updated over time might be scored differently than a document having a relatively small amount of its content updated over time."

Google may treat links from these pages differently as well (more on this below.) For example, a fresh “link of the day” from the Yahoo homepage may be assigned less significance than a link that remains more permanently.

5. New page creation

Instead of revising individual pages, fresh websites often add completely new pages over time. (This is the case with most blogs.) Websites that add new pages at a higher rate may earn a higher freshness score than sites that add content less frequently.


"UA may also be determined as a function of one or more factors, such as the number of 'new' or unique pages associated with a document over a period of time. Another factor might include the ratio of the number of new or unique pages associated with a document over a period of time versus the total number of pages associated with that document."

Some webmasters advocate adding 20–30% new pages to your site every year. Personally, I don't believe this is necessary as long as you send other freshness signals, including keeping your content up-to-date and regularly earning new links.

6. Rate of new link growth signals freshness

Not all freshness signals are restricted to the page itself. Many external signals can also indicate freshness as well, oftentimes with powerful results.

If a webpage sees an increase in its link growth rate, this could indicate a signal of relevance to search engines. For example, if folks start linking to your personal website because you're about to get married, your site could be deemed more relevant and fresh (as far as this current event goes.)


"…a downward trend in the number or rate of new links (e.g., based on a comparison of the number or rate of new links in a recent time period versus an older time period) over time could signal to search engine 125 that a document is stale, in which case search engine 125 may decrease the document's score."

Be warned: an unusual increase in linking activity can also indicate spam or manipulative link building techniques. Search engines are likely to devalue such behavior. Natural link growth over time is usually the best bet.

7. Links from fresh sites pass fresh value

Links from sites that have a high freshness score themselves can raise the freshness score of the sites they link to.

For example, if you obtain a link off an old, static site that hasn't been updated in years, this may not pass the same level of freshness value as a link from a fresh page, i.e. the homepage of Wired. Justin Briggs coined this FreshRank.


"Document S may be considered fresh if n% of the links to S are fresh or if the documents containing forward links to S are considered fresh."

8. Traffic and engagement metrics may signal freshness

When Google presents a list of search results to users, the results the users choose and how much time they spend on each one can be used as an indicator of freshness and relevance.

For example, if users consistently click a search result further down the list, and they spend much more time engaged with that page than the other results, this may mean the result is more fresh and relevant.


"If a document is returned for a certain query and over time, or within a given time window, users spend either more or less time on average on the document given the same or similar query, then this may be used as an indication that the document is fresh or stale, respectively."

You might interpret this to mean that click-through rate is a ranking factor, but that's not necessarily the case. A more nuanced interpretation might say that the increased clicks tell Google there is a hot interest in the topic, and this page - and others like it - happen to match user intent.

For a more detailed explanation of this CTR phenomenon, I highly recommend reading Eric Enge's excellent article about CTR as a ranking factor.

9. Changes in anchor text may devalue links

If the subject of a web page changes dramatically over time, it makes sense that any new anchor text pointing to the page will change as well.

For example, if you buy a domain about racing cars, then change the format to content about baking, over time your new incoming anchor text will shift from cars to cookies.

In this instance, Google might determine that your site has changed so much that the old anchor text is now stale (the opposite of fresh) and devalue those older links entirely.


"The date of appearance/change of the document pointed to by the link may be a good indicator of the freshness of the anchor text based on the theory that good anchor text may go unchanged when a document gets updated if it is still relevant and good."

The lesson here is that if you update a page, don't deviate too much from the original context or you may risk losing equity from your pre-existing links.

10. Older is often better

Google understands the newest result isn't always the best. Consider a search query for “Magna Carta." An older, authoritative result may be best here.

In this case, having a well-aged document may actually help you.

Google's patent suggests they determine the freshness requirement for a query based on the average age of documents returned for the query.


"For some queries, documents with content that has not recently changed may be more favorable than documents with content that has recently changed. As a result, it may be beneficial to adjust the score of a document based on the difference from the average date-of-change of the result set."

A good way to determine this is to simply Google your search term, and gauge the average inception age of the pages returned in the results. If they all appear more than a few years old, a brand-new fresh page may have a hard time competing.

Freshness best practices

The goal here shouldn't be to update your site simply for the sake of updating it and hoping for better ranking. If this is your practice, you'll likely be frustrated with a lack of results.

Instead, your goal should be to update your site in a timely manner that benefits users, with an aim of increasing clicks, user engagement, and fresh links. These are the clearest signals you can pass to Google to show that your site is fresh and deserving of high rankings.

Aside from updating older content, other best practices include:


  1. Create new content regularly.

  2. When updating, focus on core content, and not unimportant boilerplate material.

  3. Keep in mind that small changes may be ignored. If you're going to update a link, you may consider updating all the text around the link.

  4. Steady link growth is almost always better than spiky, inconsistent link growth.

  5. All other things being equal, links from fresher pages likely pass more value than links from stale pages.

  6. Engagement metrics are your friend. Work to increase clicks and user satisfaction.

  7. If you change the topic of a page too much, older links to the page may lose value.

Updating older content works amazingly well when you also earn fresh links to the content. A perfect example of this is when Geoff Kenyon updated his Technical Site Audit Checklist post on Moz. You can see the before and after results below:


Be fresh.

Be relevant.

Most important, be useful.


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!

Monday, June 27, 2016

New Study Reveals Top Local SEO Ranking Factors for 2016 by @SouthernSEJ

A new study reveals information about the factors behind high ranking Google My Business (GMB) pages.

The post New Study Reveals Top Local SEO Ranking Factors for 2016 by @SouthernSEJ appeared first on Search Engine Journal.

8 Mobile Marketing Trends You Can't Ignore

As we become more and more reliant on our smartphones, mobile marketing becomes more critical for the modern brand. The sooner we get on the mobile marketing train, the better off we are going to be.


Certain trends have become obvious, and ignoring them puts a serious damper on our branding results. Here are mobile marketing trends that you absolutely have to pay attention to, and should consider implementing before we hit 2017.


Mobile Apps In Google Search Results


Mobile Apps In Google Search Results


Google has started widening their first page search results to include mobile apps for the first time. Where you would normally see ads or universal search results in the top spots, you can find Google Play and iTunes recommendations right on the first page.


They come with additional meta information, such as price and rating. If you are promoting any apps it is a great time to start upping your SEO game on those marketplaces. Of all of the trends on this list, this is the one that is probably going to have the most impact.


Apps already make up a huge chunk of mobile usage these days. Even if you don't have an app yet, it is worth making one just to take advantage of their popularity, and Google's new promo guidelines.


Instagram Ads


Traditionally mobile-only, Instagram is growing by the day, and they have been getting into the advertising game for awhile as their user base increases. Some bigger brands have been getting on board with the platform and started marketing from there, but the crowd is still pretty thin.


That makes it a great place to start setting your own ads, with great returns. Of course that means you should be putting a good amount of focus on your overall Instagram marketing strategy. If you haven't launched one, it is a good time to start.


Snapchat and WhatsApp


Did you know younger consumers no longer use Facebook and Twitter? They have moved on, and mobile apps are the number one used platforms these days.


Snapchat and WhatsApp are growing in popularity, and could hold the potential for business use. It is time we kept an eye on both, and found ways to utilize the powerful network they provide.


Multi-Device Mobile Marketing


Multi-Device Mobile Marketing


Image: Forbes


You have to keep in mind that not all mobile marketing is going to be received via smartphones. There are several different devices you need to take into consideration, including smartwatches and tablets.


Then there are gaming platforms, smart TVs, and even smart home devices. We are living in an age where you can stream television through a smart fridge. Times are changing. Your marketing efforts need to reflect that.


Video Ads


Video ads are a little bit controversial right now. The data still isn't in on how effective they are, and different sources report wildly different success rates. But there is no denying that more brands are using them, including on mobile marketing.


Platforms like YouTube are especially reliant on the advertising form. You may want to consider jumping on the bandwagon and trying it for yourself.


Ecommerce and Social Combination


With Facebook focusing more on “buy now” buttons, and platforms like Instagram and Pinterest really pushing the ecommerce side, we are now seeing a socialization of online consumerism.


The line between shopping cart and social media has been blurred, and it is time to take advantage of that. Not only can you begin to use social platforms for direct sales and lead building (which works great via mobile devices), but you can make your own site more social. The early, creative birds get the worms here.


New Payment Systems


Payment systems are seriously changing. Samsung has a payment platform that can be used almost anywhere, in spite of whether they are optimized for it or not.


Services like PayPal are being accepted from big names like Walmart. Smartphones have their own wallets, such as through Apple Pay. It is no longer an option to ignore these new ways to pay, because customers would rather go with a brand that offers the choice.


Customized Lifestyle Apps


What can we learn from products like the FitBit? That apps are no longer accessories, they are lifestyles.


People use mobile devices to reflect and enhance the way that they live, such as through fitness apps (FitBit, MyFitnessPal), financial assistance (Mint, Mint Bills), and even smart homes (iSmartAlarm). You can promote your services by creating a lifestyle based app of your own.


Have you noticed any hot mobile trends in marketing lately? Let us know in the comments!


The post 8 Mobile Marketing Trends You Can't Ignore appeared first on Internet Marketing Ninjas Blog.




Saturday, June 25, 2016

10 Ways Beacons Will Change #SEO

Beacons present an opportunity for retailers to learn more about their customers, as well as for consumers to conduct even more nuanced queries.

The post 10 Ways Beacons Will Change #SEO appeared first on Search Engine Journal.

Friday, June 24, 2016

Ready for some changes with the Site Explorer?

It's no secret that the Site Explorer has always been our pride and joy. Over the last few years, this multi-functional tool has helped millions of users get a much better understanding of their own websites, their Link Profiles or their competitors. Today we're happy to release a few new additions and we hope that…


The post Ready for some changes with the Site Explorer? appeared first on Majestic Blog.

Facebook announces four new mobile ad formats

Facebook the most mobile engagement of any platform, seeing more than 1 billion daily mobile users.


With that in mind, Facebook made four announcements at Cannes this week:


1. Creative Hub


With a simple interface and a guide to Facebook and Instagram ad formats, Creative Hub is designed to make it easy for users to sample different tools and features, and work together and experiment.


For instance, there's a collaborative area for marketers to preview, evaluate and showcase their creative. There are also options to create and preview mocks on mobile, as well as create preview URLs to share with stakeholders.


Built with the guidance of several agencies such as Ogilvy & Mather, McCann and Droga5, Creative Hub is currently testing and should be available to Facebook advertisers in the next few months.


2. Upgrading Canvas


We're sensing a pattern with Facebook, which initially announced its Canvas ads, immersive mobile experiences that load 10 times faster than typical mobile sites, in Cannes last year.


The product was launched globally in February and since then, people in more than 180 countries have spent about 52.5 million minutes – otherwise known as a century – viewing Canvas.


New updates will make it easier for marketers to design, create, share and learn from these ads. Canvas will have a new feed unit designed to increase engagement, while marketers will have more detailed metrics, such as clicks-per-component and dwell time (the average is about 31 seconds).


The option to create Canvases for organic page posts has already rolled out.



3. Adding Audience Insights API


Audience Insights API will give advertisers better insights into the audience they're serving, using aggregated and anonymous demographics, psychographics, topic data and reports from Facebook IQ. Currently in beta, the feature is testing with brands like Mondelez and Anheuser-Busch InBev, and will be widely available early next year.


Mondelez used Audience Insights for Cadbury's “Taste Like Joy Feels” campaign, analyzing people's feelings toward chocolate at various times throughout the day. Brand recall was improved by 40 percent, according to Cadbury.



 4. Improving slideshow ads


Another popular Facebook ad format is the slideshow, which allows businesses to create videos from static images. However, they load significantly faster than traditional videos, on account of using five times less data.


New features include the ability to create slideshow ads from mobile devices, audio and text overlay, and integration with Facebook's Pages and Shutterstock photo libraries.


That focus on video isn't to say photos aren't doing well on Facebook. Instagram announced yesterday that its user base has doubled over the past two years.


The platform now has more than 500 million monthly active users around the world, 300 million of whom use the app on a daily basis.


This is an abbreviated post, as originally featured on our sister site ClickZ.

Long Tail SEO: When & How to Target Low-Volume Keywords - Whiteboard Friday

Posted by randfish

The long tail of search can be a mysterious place to explore, often lacking the volume data that we usually rely on to guide us. But the keyword phrases you can uncover there are worth their weight in gold, often driving highly valuable traffic to your site. In this edition of Whiteboard Friday, Rand delves into core strategies you can use to make long tail keywords work in your favor, from niche-specific SEO to a bigger content strategy that catches many long tail searches in its net.




Click on the whiteboard image above to open a high resolution version in a new tab!

Video Transcription

Howdy, Moz fans, and welcome to another edition of Whiteboard Friday. This week we're going to chat about long tail SEO.


Now, for those of you who might not be familiar, there's basically a demand curve in the search engine world. Lots and lots of searchers are searching for very popular keywords in the NBA world like "NBA finals." Then we have a smaller number of folks who are searching for "basketball hoops," but it's still pretty substantial, right? Probably hundreds to thousands per month. Then maybe there are only a few dozen searches a month for something like "Miami Heat box ticket prices."

Then we get into the very long tail, where there are one, two, maybe three searches a month, or maybe not even. Maybe it's only a few searches per year for something like "retro Super Sonics customizable jersey Seattle."

Now, this is pretty tough to do keyword research anywhere in this long tail region. The long tail region is almost a mystery to us because the search engines themselves don't get enough volume to where they'd show it in a tool like AdWords or in Bing's research. Even Search Suggest or related searches will often not surface these kinds of terms and phrases. They just don't get enough volume. But for many businesses, and yours may be one of them, these keywords are actually quite valuable.

2 ways to think about long tail keyword targeting

#1: I think that there's this small set of hyper-targeted, specific keyword terms and phrases that are very high value to my business. I know they're not searched for very much, maybe only a couple of times a month, maybe not even that. But when they are, if I can drive the search traffic to my website, it's hugely valuable to me, and therefore it's worth pursuing a handful of these. A handful could be half a dozen, or it could be in the small hundreds that you decide these terms are worth going after even though they have a very small number of keyword searches. Remember, if we were to build 50 landing pages targeting terms that only get one or two searches a month, we still might get a hundred or a couple hundred searches every year coming to our site that are super valuable to the business. So these terms in general, when we're doing this hyper-specific, they need to be...


  • Conversion-likely, meaning that we know we're going to convert those searchers into buyers if we can get them or searchers into whatever we need them to do.

  • They should be very low competition, because not a lot of people know about these keywords. There's not a bunch of sites targeting them already. There are no keyword research tools out there that are showing this data.

  • It should be a relatively small number of terms that we're targeting. Like I said, maybe a few dozen, maybe a couple hundred, generally not more than that.

  • We're going to try and build specifically optimized pages to turn those searchers into customers or to serve them in whatever way we need.

#2: The second way is to have a large-scale sort of blast approach, where we're less targeted with our content, but we're covering a very wide range of keyword targets. This is what a lot of user-generated content sites, large blogs, and large content sites are doing with their work. Maybe they're doing some specific keyword targeting, but they're also kind of trying to reach this broad group of long tail keywords that might be in their niche. It tends to be the case that there's...


  • A ton of content being produced.

  • It's less conversion-focused in general, because we don't know the intent of all these searchers, particularly on the long tail terms.

  • We are going to be targeting a large number of terms here.

  • There are no specific keyword targets available. So, in general, we're focused more on the content itself and less on the specificity of that keyword targeting.

Niche + specific long tail SEO


Now, let's start with the niche and specific. The way I'm going to think about this is I might want to build these pages - my retro Super Sonics jerseys that are customizable - with my:


  • Standard on-page SEO best practices.

  • I'm going to do my smart internal linking.

  • I really don't need very many external links. One or two will probably do it. In fact, a lot of times, when it comes to long tail, you can rank with no external links at all, internal links only.

  • Quality content investment is still essential. I need to make sure that this page gets indexed by Google, and it has to do a great job of converting visitors. So it's got to serve the searcher intent. It can't look like automated content, it can't look low quality, and it certainly can't dissuade visitors from coming, because then I've wasted all the investment that I've made getting that searcher to my page. Especially since there are so few of them, I better make sure this page does a great job.

A) PPC is a great way to go. You can do a broad-term PPC buy in AdWords or in Bing, and then discover these hyper-specific opportunities. So if I'm buying keywords like "customizable jerseys," I might see that, sure, most of them are for teams and sports that I've heard of, but there might be some that come to me that are very, very long tail. This is actually a reason why you might want to do those broad PPC buys for discovery purposes, even if the ROI isn't paying off inside your AdWords campaign. You look and you go, "Hey, it doesn't pay to do this broad buy, but every week we're discovering new keywords for our long tail targeting that does make it worthwhile." That can be something to pay attention to.

B) You can use some keyword research tools, just not AdWords itself, because AdWords bias is to show you more commercial terms, and it biases to show you terms and phrases that do actually have search volume. What you want to do is actually find keyword research tools that can show you keywords with zero searches, no search volume at all. So you could use something like Moz's Keyword Explorer. You could use KeywordTool.io. You could use Ãœbersuggest. You could use some of the keyword research tools from the other providers out there, like a Searchmetrics or what have you. But all of these kinds of terms, what you want to find are those 0–10 searches keywords, because those are going to be the ones that have very, very little volume but potentially are super high-value for your specific website or business.

C) Be aware that the keyword difficulty scores may not actually be that useful in these cases. Keyword difficulty scores - this is true for Moz's keyword difficulty score and for all the other tools that do keyword difficulty - what they tend to do is they look at a search result and then they say, "How many links or how high is the domain authority and page authority or all the link metrics that point to these 10 pages?" The problem is in a set where there are very few people doing very specific keyword targeting, you could have powerful pages that are not actually optimized at all for these keywords that aren't really relevant, and therefore it might be much easier than it looks like from a keyword difficulty score to rank for those pages. So my advice is to look at the keyword targeting to spot that opportunity. If you see that none of the 10 pages actually includes all the keywords, or only one of them seems to actually serve the searcher intent for these long tail keywords, you've probably found yourself a great long tail SEO opportunity.

Large-scale, untargeted long tail SEO

This is very, very different in approach. It's going to be for a different kind of website, different application. We are not targeting specific terms and phrases that we've identified. We're instead saying, "You know what? We want to have a big content strategy to own all types of long tail searches in a particular niche." That could be educational content. It could be discussion content. It could be product content, where you're supporting user-generated content, those kinds of things.


  • I want a bias to the uniqueness of the content itself and real searcher value, which means I do need content that is useful to searchers, useful to real people. It can't be completely auto-generated.

  • I'm worrying less about the particular keyword targeting. I know that I don't know which terms and phrases I'm going to be going after. So instead, I'm biasing to other things, like usefulness, amount of uniqueness of content, the quality of it, the value that it provides, the engagement metrics that I can look at in my analytics, all that kind of stuff.

  • You want to be careful here. Anytime you're doing broad-scale content creation or enabling content creation on a platform, you've got to keep low-value, low-unique content pages out of Google's index. That could be done two ways. One, you limit the system to only allow in certain amounts of content before a page can even be published. Or you look at the quantity of content that's being created or the engagement metrics from your analytics, and you essentially block - via robots.txt or via meta robots tag - any of the pages that look like they're low-value, low-unique content.

A) This approach requires a lot of scalability, and so you need something like a:


  • Discussion forum

  • Q&A-style content

  • User-posted product or service or business listings. Think something like an Etsy or a GitHub or a Moz Q&A, discussion forums like Reddit. These all support user-generated content.

  • You can also go with non-UGC if it's editorially created. Something like a frequently updated blog or news content, particularly if you have enough of a staff that can create that content on a regular basis so that you're pumping out good stuff on a regular basis, that can also work. It's generally not as scalable, but you have to worry less about the uniqueness of quality content.

B) You don't want to fully automate this system. The worst thing you can possibly do is to take a site that has been doing well, pump out hundreds, thousands, tens of thousands of pages, throw them up on the site, they're low-quality content, low uniqueness of content, and Google can hit you with something like the Panda penalty, which has happened to a lot of sites that we've seen over the years. They continue to iterate and refine that, so be very cautious. You need some human curation in order to make sure the uniqueness of content and value remain above the level you need.

C) If you're going to be doing this large-scale content creation, I highly advise you to make the content management system or the UGC submission system work in your favor. Make it do some of that hard SEO legwork for you, things like...


  • Nudging users to give more descriptive, more useful content when they're creating it for you.

  • Require some minimum level of content in order to even be able to post it.

  • Use spam software to be able to catch and evaluate stuff before it goes into your system. If it has lots of links, if it contains poison keywords, spam keywords, kick it out.

  • Encourage and reward the high-quality contributions. If you see users or content that is consistently doing well through your engagement metrics, go find out who those users were, go reward them. Go promote that content. Push that to higher visibility. You want to make this a system that rewards the best stuff and keeps the bad stuff out. A great UGC content management system can do this for you if you build it right.

All right, everyone, look forward to your thoughts on long tail SEO, and we'll see you again next week for another edition of Whiteboard Friday. Take care.


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!

Wednesday, June 22, 2016

Majestic partners with Optimiz.me

Majestic are delighted to formally announce their partnership with Optimiz.me – an SEO Software  that allows you to do search engine optmization by yourself, without any SEO technical knowledge. We asked Optimiz.me to tell us more about the system… Inspired by the “do it yourself” movement, this software analyses your website, and explains to you…


The post Majestic partners with Optimiz.me appeared first on Majestic Blog.

Learn How to Build Android Apps: Google Debuts Nanodegree by @thebigdebowski

All of the individual courses that make up this nanodegree are available online for no charge at udacity.com/google.

The post Learn How to Build Android Apps: Google Debuts Nanodegree by @thebigdebowski appeared first on Search Engine Journal.

Tuesday, June 21, 2016

The state of influencer marketing in 2016

Before Vine's popularity declined, Vine stars had transcended the platform to become actual celebrities. How has influencer marketing changed as it's grown?


Justin Bieber has 22 million YouTube subscribers. Rihanna has 21 million. Katy Perry and Eminem, 18 million apiece. These four musicians are among the most famous people on the planet, and none of them has even half the following of Felix Kjellberg.


You know, PewDiePie. The Swedish video gamer who made $12 million last year, as the most-followed person on YouTube. Though PewDiePie largely stays away from marketing (though he has partnered with Mountain Dew in the past) the same can't be said for many of his fellow social media stars-turned-actual stars.


Logan Paul, a Vine celebrity who has graced the cover of AdWeek, has worked with Verizon, Nike and Dunkin Donuts. Michelle Phan parlayed a YouTube channel about makeup tutorials into a line of cosmetics with L'Oréal. Influencer marketing has been huge for a while. How has it changed as it's gotten bigger?


Vine declines as Instagram and Snapchat soar


Vine has traditionally been a big platform for social media influencers – Paul has nearly 4 billion loops – but its star is fading. Analyzing the Vine accounts with more than 15,000 followers, influencer marketing technology platform Markerly found that 52% of those users have left the platform. Paul hasn't posted a new Vine since April.



“I don't think there's one specific reason why, but the content is way too short,” says Sarah Ware, founder and chief executive (CEO) of Markerly, who believes Vine became so popular because it was something of a novelty in 2012. “If Vine were to be released now, it probably wouldn't be that popular because there are so many video platforms now. At the time, it was different, but it hasn't been able to keep up that momentum.”


Ware doesn't see the decline of Vine taking away from the popularity of influencer marketing. While the six-second videos were the go-to medium for many advertisers, the same influencers also have presences on other platforms with bigger, more engaged userbases. (Vine is currently ranked 135th in the App Store; Snapchat, Instagram, Facebook and YouTube are all in the top 10.)


In Ware's opinion, Instagram is the ultimate platform for influencer marketing. According to a recent Comcast survey, it also now has more advertisers than Twitter. It's got a young audience, but not so young that brands can't reach the coveted millennial mom demographic there. In addition, Markerly sees a distinct correlation between Instagram posts and the brands' site traffic.


insta-vs-twitter


“It's the place to be for product placement,” says Ware. “If I sell couches and give one to an influencer, every time she posts a picture of her kid on the couch, she's going to tag my brand.”


There's also Snapchat, which is having its moment in the sun. But it's still got some kinks, such as poor discoverability and the fact that many marketers haven't quite figured out how to navigate it.


Will McDonough, head of brand at KICK, is a fan of turning his Snapchat over to influencers. KICK is all about soccer, and this strategy keeps the media destination from being too one-dimensional.


“It's unique and it's fun.” says McDonough. “We want to be that great connector. You like soccer and you also like fashion; there's a lot of fashion in soccer. We try and find that little Venn diagram where soccer hits the rest of the world in pop culture.”


As influencer marketing grows, people are becoming more aware of it


Influencer marketing is such a big thing now that many brands have specific influencer strategies.


It's also so common that McDonough likes to sometimes turn regular KICK fans into influencers, just to switch it up.


kick-instagram


“What can we do that's going to cut through the noise? Everybody's got somebody taking over their handle,” he says. “What we try and do is, let's get a fan to do it because that's what KICK is about: the voice of the fans. We find cool fans who are good at telling stories and say, 'Hey man, go to the match and show the audience.'”


Working with influencers has also become a much more costly strategy. That Adweek story reported that Logan Paul was paid $1,000 to promote a video game on Vine three years ago; now he can make six figures for brand work.


When it comes to advertising, “costly” is relative. A Super Bowl ad can cost $5 million – so $166,000 per second – but brands keep doing it because they're in front of the largest TV audience possible.


For Ware, influencer marketing is worth it, if you go about it in a smart way – which many brands are savvy enough to do now. She said that it's common for brands to contract influencers to do a certain number of posts over a period of time, though reach often determines the price.


expensive


“If you're putting $25,000 toward Instagram, we're giving you a total reach of 5 million people,” says Ware. “You can work with a couple of really large influencers, or a ton of smaller ones. You're paying the same and you're reaching the same. It's just, how much content do you want created?


“If you're able to repurpose that content, it's really worth it,” she adds.


If these people fit naturally, they'll help the brands get a lift because ultimately, people like them. But if the influencers are bright enough stars, they can still help the brand get a lift either way because people just like them and want to see what they're doing.


Does anyone really think Kendall Jenner stops by the Estee Lauder counter at Macy's to pick up makeup? Probably not. But there are more people in the world following Jenner on Instagram than there are living in Spain, and within a day of Estee Lauder appointing her the face of the brand, its Instagram following shot up by 18%.


I'd add a note of caution. Though I'm sure many people are well-aware that these influencers are being paid by brands for endorsing their products, there are some grey areas here.


Google's recent use of manual actions around bloggers linking to products in return for freebies may have been harsh in some cases, but it illustrates the importance of clarity in advertising.

Monday, June 20, 2016

I'm Feeling Yucky :( Searching for symptoms on Google

Picture this: you woke up today with a headache. It's been getting worse all day, and you aren't sure if you should be worried or not. So you open the Google app and start searching for your symptoms. After 20 minutes digging through health forums, chances are you're overwhelmed by all the complicated medical terms and breaking out in a sweat-whether that's related to the headache or the overdose of info is unclear!

You're not alone. Roughly 1 percent of searches on Google (think: millions!) are symptom-related. But health content on the web can be difficult to navigate, and tends to lead people from mild symptoms to scary and unlikely conditions, which can cause unnecessary anxiety and stress.

So starting in the coming days, when you ask Google about symptoms like “headache on one side,” we'll show you a list of related conditions (“headache,” “migraine,” “tension headache,” “cluster headache,” “sinusitis,” and “common cold”). For individual symptoms like “headache,” we'll also give you an overview description along with information on self-treatment options and what might warrant a doctor's visit. By doing this, our goal is to help you to navigate and explore health conditions related to your symptoms, and quickly get to the point where you can do more in-depth research on the web or talk to a health professional.

We create the list of symptoms by looking for health conditions mentioned in web results, and then checking them against high-quality medical information we've collected from doctors for our Knowledge Graph. We worked with a team of medical doctors to carefully review the individual symptom information, and experts at Harvard Medical School and Mayo Clinic evaluated related conditions for a representative sample of searches to help improve the lists we show.
That said, symptom search (like all medical information on Google) is intended for informational purposes only, and you should always consult a doctor for medical advice. We rely on search results, and we reflect what's on the web. Because of this, your feedback is especially important to us; we'll use it to keep improving the results we show. You'll notice in the weeks following launch that when we show symptom search we'll automatically ask you if the results are helpful.

We're rolling this update out on mobile over the next few days, in English in the U.S. to start. Over time, we hope to cover more symptoms, and we also want to extend this to other languages and internationally. So the next time you're worried about your “child with knee pain” (even though it's probably just growing pains), or have some symptoms you're too embarrassed to run by your roommate, a Google search will be a helpful place to start.

Everything you need to know about AdWords' store visit conversions

Ecommerce sales came to more than $341 billion in 2015. That's huge. But amazingly, 90% of sales still happen in stores, not online, according to Google.


That's why AdWords introduced the in-store visits metric in 2014. The consumer purchase journey is now more complex than ever – and Google wanted to create a way businesses could understand how much in-store foot traffic their location-based PPC ads were driving.


Thus far, Google has measured more than 1 billion store visits. But not every business has access to this powerful metric.


At the Google Performance Summit – where Google announced Expanded Text Ads, new local search ads, and gave us a preview of the new AdWords interface – in-store conversions were one of the huge topics of conversation, and Google promised this metric would soon become more widely available to more businesses.


If you're a local business, the combination of new Google Maps Local Search ads and in-store conversions will be an absolutely killer combination.


To get you ready, here are seven things you need to know about AdWords' store visit conversions.


1. What are store visit conversions?


Google estimates store visit conversions by looking at phone location history to determine whether someone who clicked on your search ad ended up visiting your store. Google looks at ad clicks on all devices – smartphone, desktop, and tablet.


In-store conversion data will help you understand which ad campaigns, keywords, and devices send the most people to your store so you can optimize your account to increase ROI. It doesn't guarantee that someone bought from you – just that they visited after clicking on one of your ads.


Google's goal is to provide the data so you can attribute the online value of your ad spend. In less than two years, advertisers in the retail, restaurant, travel, automotive, and finance industries have counted more than one billion store visits globally.


For privacy reasons, in-store conversion data is based on anonymous and aggregated data gathered from people who have Location History turned on. A conversion can't be tied to an individual ad click or person.


Here's Google's official overview video on AdWords Store Visits Conversions:



2. What technology does Google use to measure store visits?


Google Maps knows the exact coordinates and borders of millions of businesses globally. That's why the AdWords team worked with the Google Maps team to match location history for hundreds of millions of users with Maps data for more than two million businesses.


Google says they use a hybrid approach with a large number of signals in order to measure visits.


To ensure accuracy, Google also surveyed more than 5 million people to confirm they actually visited a store. Google used this information to update its algorithms and reported that its results are “99% accurate”.


3. What's new with store visits?


At the Performance Summit, Google announced that it most recently made in-store visits available to manufacturers, like auto manufacturers, to track store visits to dealerships.


Google shared a case study on how Nissan UK has been using store visit conversion data to see which keywords and campaigns were driving people into their dealerships to buy a car and increase their ROI by 25x. They've used the data to map buyer journeys to reach them at key moments of the research journey.


They discovered that 6% of their mobile ad clicks resulted in a visit. This is huge, considering that the average consumer only visits a dealership twice before actually buying.


You can see more in this video AdWords posted:



4. Is Google using beacons to improve?


Google said it is starting to experiment with beacons to improve its algorithm. Google is exploring how to use Bluetooth Low-Energy (BLE) beacons for in-store analytics and in-store visits.


In fact, Google has a BLE beacon pilot underway that should eventually help people who operate at smaller locations and businesses by ensuring Google is getting and providing the most precise and accurate location data for the least amount of effort.


5. How many store visits are incremental?


Though most purchases happen in person at a physical location, digital channels – especially paid search – still play a huge role in the research and buying process.


Google wanted to quantify the substantial offline impact mobile search ads can have on a business. So Google ran a study of 10 top big box US retailers (including Target and Bed, Bath & Beyond) to determine how many store visits are incremental.


What Google found was that, on average, the number of incremental store visits driven by mobile search ads actually exceeded their number of online purchase conversions.


The study essentially found that these store visits otherwise never would have happened, if not for the influence of mobile search ads.


6. How can you get access to store visit conversions?


Store visits have been made available to more than 1,000 advertisers in 11 countries so far, and Google promises more will gain access soon. If you want to start tracking store visits, you can contact your account manager.


Not every business can track store visits yet – there are a few requirements. You must:



  • Have multiple physical store locations in an eligible country.

  • Receive “thousands” of ad clicks and “many” store visits every month.

  • Link a Google My Business account to your AdWords account.

  • Enable location extensions.


7. Where can you view visit conversions?


Store visit conversions will be added to the “All conversions” column in your campaign reports. If you haven't already, you'll need to add this column to your reports:


Store visits are available at the campaign, ad group, and keyword level and can be segmented by device. Google provides step-by-step instructions here.

Using Google Tag Manager to Dynamically Generate Schema/JSON-LD Tags

Posted by serpschris

[Estimated read time: 7 minutes]

One of the biggest takeaways from SearchFest in Portland earlier this year was the rapidly rising importance of semantic search and structured data - in particular Schema.org. And while implementing Schema used to require a lot of changes to your site's markup, the JSON-LD format has created a great alternative to adding microdata to a page with minimal code.

mike arnesen searchfest 2016

Check out Mike Arnesen's deck from his SearchFest talk, "Understanding & Facilitating Semantic Search," for a great overview on using structured data.

What was even more exciting was the idea that you could use Google Tag Manager to insert JSON-LD into a page, allowing you to add Schema markup to your site without having to touch the site's code directly (in other words, no back and forth with the IT department).

Trouble is, while it seemed like Tag Manager would let you insert a JSON-LD snippet on the page no problem, it didn't appear to be possible to use other Tag Manager features to dynamically generate that snippet. Tag Manager lets you create variables by extracting content from the page using either CSS selectors or some basic JavaScript. These variables can then be used dynamically in your tags (check out Mike's post on semantic analysis for a good example).

So if we wanted to grab that page URL and pass it dynamically to the JSON-LD snippet, we might have tried something like this:

Using tag manager to insert JSON-LD with dynamic variables

But that doesn't work. Bummer.

Meaning that if you wanted to use GTM to add the the BlogPosting Schema type to each of your blog posts, you would have to create a different tag and trigger (based on the URL) for each post. Not exactly scalable.

But, with a bit of experimentation, I've figured out a little bit of JavaScript magic that makes it possible to extract data from the existing content on the page and dynamically create a valid JSON-LD snippet.

Dynamically generating JSON-LD

The reason why our first example doesn't work is because Tag Manager replaces each variable with a little piece of JavaScript that calls a function - returning the value of whatever variable is called.

We can see this error in the Google Structured Data Testing Tool:

JSON-LD Google Tag Manager variable error

The error is the result of Tag Manager inserting JavaScript into what should be a JSON tag - this is invalid, and so the tag fails.

However, we can use Tag Manager to insert a JavaScript tag, and have that JavaScript tag insert our JSON-LD tag.

Google Tag Manager JSON-LD insertion script

If you're not super familiar with JavaScript, this might look pretty complicated, but it actually works the exact same way as many other tags you're probably already using (like Google Analytics, or Tag Manager itself).

Here, our Schema data is contained within the JavaScript "data" object, which we can dynamically populate with variables from Tag Manager. The snippet then creates a script tag on the page with the right type (application/ld+json), and populates the tag with our data, which we convert to JSON using the JSON.stringify function.

The purpose of this example is simply to demonstrate how the script works (dynamically swapping out the URL for the Organization Schema type wouldn't actually make much sense). So let's see how it could be used in the real world.

Dynamically generating Schema.org tags for blog posts

Start with a valid Schema template

First, build out a complete JSON/LD Schema snippet for a single post based on the schema.org/BlogPosting specification.

example article schema template

Identify the necessary dynamic variables

There are a number of variables that will be the same between articles; for example, the publisher information. Likewise, the main image for each article has a specific size generated by WordPress that will always be the same between posts, so we can keep the height and width variables constant.

In our case, we've identified 7 variables that change between posts that we'll want to populate dynamically:
identify schema properties for dynamic substitution by tag manager

Create the variables within Google Tag Manager


  • Main Entity ID: The page URL.

  • Headline: We'll keep this simple and use the page title.

  • Date Published and Modified: Our blog is on WordPress, so we already have meta tags for "article:published_time" and "article:modified_time". The modified_time isn't always included (unless the post is modified after publishing), but the Schema specification recommends including it, so we should set dateModified to the published date if it there isn't already a modified date. In some circumstances, we may need to re-format the date - fortunately, in this case, it's already in the ISO 860 format, so we're good.

  • Author Name: In some cases we're going to need to extract content from the page. Our blog lists the author and published date in the byline. We'll need to extract the name, but leave out the time stamp, trailing pipe, and spaces.tag manager extract author name from pagetag manager extract author name from page markup


  • Article Image: Our blog has Yoast installed, which has specified image tags for Twitter and Open Graph. Note: I'm using the meta twitter:image instead of the og:image tag value due to a small bug that existed with the open graph image on our blog when I wrote this.

  • Article Description: We'll use the meta description.

Here is our insertion script, again, that we'll use in our tag, this time with the properties swapped out for the variables we'll need to create:

google tag manager json-ld insertion script with dynamic variables

I'm leaving out dateModified right now - we'll cover than in a minute.

Extracting meta values

Fortunately, Tag Manager makes extracting values from DOM elements really easy - especially because, as is the case with meta properties, the exact value we need will be in one of the element's attributes. To extract the page title, we can get the value of the tag. We don't need to specify an attribute name for this one:<p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/576794184cca31.23853501.png" width="738" alt="configuring a google tag manager tag to extract the title value"><br /> </p><p>For meta properties, we can extract the value from the content attribute:<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/5767941901fcb8.76439638.png" width="738" alt="configuring a google tag manager tag to extract the title value"><br /> </p><p>Tag Manager also has some useful built-in variables that we can leverage - in this case, the Page URL:<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/57679419854306.38513113.png" width="618" alt="Tag Manager Page URL built in variable"><br /> </p><h3>Processing page elements</h3><p>For extracting the author name, the markup of our site makes it so that just a straight selector won't work, meaning we'll need to use some custom JavaScript to grab just the text we want (the text of the span element, not the time element), and strip off the last 3 characters (" | ") to get just the author's name.<br /> </p><p>In case there's a problem with this selector, I've also put in a fallback (just our company name), to make sure that if our selector fails a value is returned.<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/5767941a0600f1.80330070.png" width="738" alt="custom JavaScript google tag manager variable to extract and process copy"><br /> </p><h2>Testing</h2><p>Tag Manager has a great feature that allows you to stage and test tags before you deploy them.<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/5767941b683f03.05409682.png" width="400" alt="google tag manager debug mode"><br /> </p><p>Once we have our variables in place, we can enter the Preview mode and head to one of our blog posts:<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/5767941bd03e11.38700283.png" width="738" alt="testing tag manager schema variables"><br /> </p><p>Here we can check the values of all of our variables to make sure that the correct values are coming through.<br /> </p><p>Finally, we set up our tag, and configure it to fire where we want. In this case, we're just going to fire these tags on blog posts:<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/5767941c50bfd3.27970223.png" alt="tag manager trigger configuration"><br /> </p><p>And here's the final version of our tag.<br /> </p><p>For our dateModified parameter, we added a few lines of code that check whether our modified variable is set, and if it's not, sets the "dateModified" JSON-LD variable to the published date. You can find the <a href="https://gist.github.com/chrisgoddard/bbc998efc270929d0a67305d0941c6eb" target="_blank">raw code here</a>.<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/5767941cc21524.15034477.png" width="738" alt="dynamic schema json-ld tag"><br /> </p><p>Now we can save the tag, deploy the current version, and then use the <a href="https://search.google.com/structured-data/testing-tool" target="_blank">Google Structured Data Testing Tool</a> to validate our work:<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/5767941d8ff161.37948276.png" width="738" alt="google structured data testing tool validates dynamically generated JSON-LD"><br /> </p><p>Success!!<br /> </p><hr><p>This is just a first version of this code, which is serving to test the idea that we can use Google Tag Manager to dynamically insert JSON-LD/Schema.org tags. However after just a few days we checked in with Google Search Console and it confirmed the BlogPosting Schema was successfully found on all of our blog posts with no errors, so I think this is a viable method for implementing structured data.<br /> </p><p><img src="http://d2v4zi8pl64nxt.cloudfront.net/using-google-tag-manager-to-dynamically-generate-schema-org-json-ld-tags/5767941e2bb207.78142880.png" width="738" alt="valid structured data found in Google Search Console"><br /> </p><p>Structured data is becoming an increasingly important part of an SEO's job, and with techniques like this we can dramatically improve our ability to implement structured data efficiently, and with minimal technical overhead.<br /> </p><p>I'm interested in hearing the community's experience with using Tag Manager with JSON-LD, and I'd love to hear if people have success using this method!<br /> </p><p>Happy tagging!<br /> </p><br /><p><a href="https://moz.com/moztop10">Sign up for The Moz Top 10</a>, a semimonthly mailer updating you on the top ten hottest pieces of SEO news, tips, and rad links uncovered by the Moz team. 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