Understanding the Influential Network in the Music Industry
During his talk at RIMC, Matt Roberts used Linkdex to visualise ‘who to take for lunch’. Here’s an analysis of who influences who in the music industry.
Post from Marcus Taylor on State of Search
Understanding the Influential Network in the Music Industry
How Does Google Treat Hidden Text That’s Only Temporarily Hidden?
Many webmasters do fancy stuff with JavaScript and AJAX where text would technically be hidden until a user takes action, such as clicking on a button, to actually display that text on the page. How does Google handle this type of hidden text?
Cognitive SEO

Hangout on air with Razvan Gavrilas, the founder of Cognitive SEO.
- What is Cognitive SEO?
- Features & Functionality
- Usage Examples
- Tactics
When?
Thursday, 7pm AEST, 1 August 2013, On Google+
Want to participate?
There is a limited number of spots available for live participation in this hangout so if you wish to join in please let us know in advance.
…
The post Cognitive SEO appeared first on DEJAN SEO.
Pandas And Loyalty
SEOs debate ranking metrics over and over, but if there’s one thing for sure, it’s that Google no longer works the same way it used to.
The fundamental shift in the past couple of years has been more emphasis on what could be characterized as engagement factors.
I became convinced that Panda is really the public face of a much deeper switch towards user engagement. While the Panda score is sitewide the engagement “penalty” or weighting effect on also occurs at the individual page. The pages or content areas that were hurt less by Panda seem to be the ones that were not also being hurt by the engagement issue.
Inbound links to a page still count, as inbound links are engagement factors. How about a keyword in the title tag? On-page text? They are certainly basic requirements, but of low importance when it comes to determining ranking. This is because the web is not short of content, so there will always likely to be on-topic content to serve against a query. Rather, Google refines in order to deliver the most relevant content.
Google does so by checking a range of metrics to see what people really think about the content Google is serving, and the oldest form of this check is an inbound link, which is a form of vote by users. Engagement metrics are just a logical extension of the same idea.
Brands appear to have an advantage, not because they fit into an arbitrary category marked “brand,” but because of signals that define them as being more relevant i.e. a brand keyword search likely results in a high number of click-thrus, and few click-backs. This factor, when combined with other metrics, such as their name in the backlink, helps define relevance.
Social signals are also playing a part, and likely measured in the same way as brands. If enough people talk about something, associate terms with it, and point to it, and users don’t click-back in sufficient number, then it’s plausible that activity results in higher relevance scores.
We don’t know for sure, of course. We can only speculate based on limited blackbox testing which will always be incomplete. However, even if some SEOs don’t accept the ranking boost that comes from engagement metrics, there’s still a sound business reason to pay attention to the main difference between brand and non-brand sites.
Loyalty
Investing In The Return
Typically, internet marketers place a lot of emphasis, and spend, on getting a new visitor to a site. They may also place emphasis on converting the buyer, using conversion optimization and other persuasion techniques.
But how much effort are they investing to ensure the visitor comes back?
Some may say ensuring the visitor comes back isn’t SEO, but in a post-Panda environment, SEO is about a lot more than the first click. As you build up brand searches, bookmarking, and word-of-mouth metrics, you’ll likely create the type of signals Google favours.
Focusing on the returning visitor also makes sense from a business point of view. Selling to existing customers – whether you’re selling a physical thing or a point of view – is cheaper than selling to a new customer.
Acquiring new customers is expensive (five to ten times the cost of retaining an existing one), and the average spend of a repeat customer is a whopping 67 percent more than a new one
So, customer loyalty pays off on a number of levels.
Techniques To Foster Loyalty
Return purchasers, repeat purchasers and repeat visitors can often be missed in analytics, or their importance not well understood. According to the Q2 2012 Adobe analysis, “8% of site visitors, they generated a disproportionately high 41% of site sales. What’s more, return and repeat purchasers had higher average order values and conversion rates than shoppers with no previous purchase history
One obvious technique, if you’re selling products, is to use loyalty programs. Offer points, discounts and other monetary rewards. One drawback of this approach is is that giving rewards and pricing discounts is essentially purchasing loyalty. Customers will only be “loyal” so long as they think they’re getting a bargain, so this approach works best if you’re in a position to be price competitive. Contrast this with the deeper loyalty that can be achieved through an emotional loyalty to a brand, by the likes of Apple, Google and Coke.
Fostering deeper loyalty, then, is about finding out what really matters to people, hopefully something other than price.
Take a look at Zappos. What makes customers loyal to Zappos? Customers may get better prices elsewhere, but Zappos is mostly about service. Zappos is about ease of use. Zappos is about lowering the risk of purchase by offering free returns. Zappos have identified and provided what their market really wants – high service levels and reasonable pricing – so people keep coming back.
Does anyone think the engagement metrics of Zappos would be overlooked by Google? If Zappos were not seen as relevant by Google, then there would be something badly wrong – with Google. Zappos have high brand awareness in the shoe sector, built on solving a genuine problem for visitors. They offer high service levels, which keeps people coming back, and keeps customers talking about them.
Sure, they’re a well-funded, outlier internet success, but the metrics will still apply to all verticals. The brands who engage customers the most, and continue to do so, are, by definition, most relevant.
Another thing to consider, especially if you’re a small operator competing against big players, is closely related to service. Try going over-the-top in you attentiveness to customers. Paul Graham, of Y Combinator, talks about how start-ups should go well beyond what big companies do, and the payback is increased loyalty:
But perhaps the biggest thing preventing founders from realizing how attentive they could be to their users is that they’ve never experienced such attention themselves. Their standards for customer service have been set by the companies they’ve been customers of, which are mostly big ones. Tim Cook doesn’t send you a hand-written note after you buy a laptop. He can’t. But you can. That’s one advantage of being small: you can provide a level of service no big company can
That strategy syncs with Seth Godin’s Purple Cow notion of “being remarkable” i.e do something different – good different – so people remark upon it. These days, and in the context of SEO, that translates into social media mentions and links, and brand searches, all of which will help keep the Google Gods smiling, too.
The feedback loop of high engagement will also help you refine your relevance:
Over-engaging with early users is not just a permissible technique for getting growth rolling. For most successful startups it’s a necessary part of the feedback loop that makes the product good. Making a better mousetrap is not an atomic operation. Even if you start the way most successful startups have, by building something you yourself need, the first thing you build is never quite right…..
Gamification
Gamification has got a lot of press in the last few years as a means of fostering higher levels of engagement and return visits.
The concept is called gamification – that is, implementing design concepts from games, loyalty programs, and behavioral economics, to drive user engagement”. M2 research expects that US companies alone will be spending $3b per year on gamification technologies and services before the end of the decade
People have natural desires to be competitive, to achieve, to gain status, closure and feel altruistic. Incorporating game features helps fulfil these desires.
And games aren’t just for kids. According to The Gamification Revolution, by Zichermann and Linder – a great read on gamification strategy, BTW – the average “gamer” in the US is a 43 year old female. Gaming is one of the few channels where levels of attention are increasing. Contrast this with content-based advertising, which is often rendered invisible by repetition.
This is not to say everything must be turned into a game. Rather, pay attention to the desires that games fulfil, and try to incorporate those aspects into your site, where appropriate. Central to the idea of gamification is orienting around the deep desires of a visitor for some form of reward and status.
The user may want to buy product X, but if they can feel a sense of achievement in doing so, they’ll be engaging at a deeper level, which could then lead to brand loyalty.
eBay, a pure web e-commerce play dealing in stuff, have a “chief engagement officer”, someone who’s job it is to tweak eBay so it becomes more-gamelike. This, in turn, drives customer engagement and loyalty. If your selling history becomes a marker of achievement and status, then how likely are you to start anew at the competition?
This is one of the reasons eBay has remained so entrenched.
Gamification has also been used as a tool for customer engagement, and for encouraging desirable website usage behaviour. Additionally, gamification is readily applicable to increasing engagement on sites built on social network services. For example, in August 2010, one site, DevHub, announced that they have increased the number of users who completed their online tasks from 10% to 80% after adding gamification elements. On the programming question-and-answer site Stack Overflow users receive points and/or badges for performing a variety of actions, including spreading links to questions and answers via Facebook and Twitter. A large number of different badges are available, and when a user’s reputation points exceed various thresholds, he or she gains additional privileges, including at the higher end, the privilege of helping to moderate the site
Gamification, in terms of the web, is relatively new. It didn’t even appear in Google Trends until 2010. But it’s not just some buzzword, it has practical application, and it can help improve ranking by boosting engagement metrics through loyalty and referrals. Loyalty marketing guru Fredrick Reichheld has claimed a strong link between customer loyalty marketing and customer referral.
Obviously, this approach is highly user-centric. Google orient around this principle, too. “Focus on the user and all else will follow.”
Google has always had the mantra of ‘focus on the user and all else will follow,’ so the company puts a significant amount of effort into researching its users. In fact, Au estimates that 30 to 40 per cent of her 200-strong worldwide user experience team is compromised of user researchers
Google fosters return visits and loyalty by giving the user what they want, and they use a lot of testing to ensure that happens. Websites that focus on keywords, but don’t give the user what they want, either due to a lack of focus, lack of depth, or by using deliberate bait-and-switch, are going against Google’s defining principles and will likely ultimately lose the SEO game.
The focus on the needs and desires of the user, both before their first click, to their return visits, should be stronger than ever.
Attention
According to Microsoft research, the average new visitor gives your site 10 seconds or less. Personally, I think ten seconds sounds somewhat generous! If a visitor makes it past 30 seconds, you’re lucky to get two minutes of their attention, in total. What does this do to your engagement metrics if Google is counting click backs, and clicks to other pages in the same domain?
And these metrics are even worse for mobile.
There’s been a lot of diversification in terms of platforms, and many users are stuck in gamified silo environments, like Facebook, so it’s getting harder and harder to attract people out of their comfort zone and to your brand.
So it’s no longer just about building brand, we also need to think about more ways to foster ongoing engagement and attention. We’ve seen that people are spending a lot of attention on games. In so doing, they have been conditioned to expect heightened rewards, stimulation and feedback as a reward for that attention.
Do you reward visitors for their attention?
If not, think about ways you can build reward and status for visitors into your site.
Sites like 99 Designs use a game to solicit engagement from suppliers as a point of differentiation for buyers. Challenges, such as “win the design” competition, delivers dozens of solutions at no extra cost to the user. The winners also receive a form of status, which is also a form of “payment” for their efforts. We could argue that this type of gamification is weighed heavily against the supplier, but there’s no doubting the heightened level of engagement and attraction for the buyer. Not only do they get multiple web design ideas for the price of one, they get to be the judge in a design version of the X-Factor.
Summary
Hopefully, this article has provided some food for thought. If we were going to measure success of loyalty and engagement campaigns, we might look at recency i.e. how long ago did the users last visit, frequency i.e. how often do they visit in a period of time, and duration i.e. when do they come, and how long do they stay. We could then map these metrics back against rankings, and look for patterns.
But even if we’re overestimating the effect of engagement on rankings, it still makes good sense from a business point of view. It costs a lot to get the first visit, but a whole lot less to keep happy visitors coming back, particularly on brand searches.
Think about ways to reward visitors for doing so.
How to Develop and Maintain a Content Team
We’re all are aware that content marketing is on the rise. You can tell just by the number of buzzwords thrown around: sticky content, snackable content, engagement, content curation, etc. In the midst of such a popular marketing strategy, it’s Continue reading »
Google’s "Multi-Week" Algorithm Update
Posted by Dr-Pete
Back on June 21st, Matt Cutts replied to a tweet about payday loan spam with an unusual bit of information (reported on Search Engine Roundtable):

The exact timeline was a bit unclear, but Matt seemed to suggest a prolonged algorithm update covering as many as three weeks. Four days later, we tracked our highest temperature ever on MozCast, followed by more record highs:

Seven days during the “multi-week” timeline showed temperature spikes near or above 90°, with six of those days exceeding the severity of the original Penguin update.
Was It A MozCast Glitch?
Let me perfectly honest – Google rankings are a moving target, and tracking day-to-day flux has proven difficult at best. Any given temperature on any given day is prone to error. However, this was a sustained pattern of very high numbers, and we have no evidence to suggest a glitch in the data.
There were some reports that other tools were not showing similar spikes, but some of these reports were based on apples-to-oranges comparisons. For example, if you look at SERPmetrics flux data and isolate just page 1 of Google (which is what MozCast tracks), you’ll see this:

Sorry, it’s a bit hard to see the dates on the reduced image, but the two spikes equate to roughly June 28th and July 4th, with a smaller bump on June 25th. While they’re not an exact match, these two data sets are certainly telling a similar story.
Was It A Large-scale Test?
This is a much harder question to answer. Our beta 10K data set showed similar patterns across multiple C-blocks of IPs, so we have no reason to believe this was specific to one or a very few data centers.
What if Google made a massive change one day, though, and then reverted it? Theoretically, we would see two days of high MozCast temperatures, but if we looked at the two-day flux (instead of two one-day numbers), the temperature would be very low. While this multi-day flux is theoretically interesting, it can be very hard to interpret in practice. Some rankings naturally change, and Google can roll out multiple small updates in any given week.
If we look at the overall flux between the start and end of recorded spikes (June 25 – July 4), we get a MozCast temperature of 120.3°, not much higher than the one-day temperature on June 27th. The average daily temperature for this period was 92.5°. Now, let’s look at a similar time period (May 28 – June 6) – the average temperature for that period was 66.8°, and the multi-day temperature across the entire period was 114.7°.
Comparing the two time periods, the overall flux for the period of record temperatures was roughly the same as the peak and about 30% higher than the multi-day average, whereas the overall flux for the quieter period was 72% higher than the average. This is an inexact science at best, and we don’t have a good historical sense of multi-day patterns, but my gut feeling is that some of the multi-week update involved changes that Google tested and later rolled back.
What About PMDs & EMDs?
In my post on the June 25th temperature spike, I reported a noticeable single-day drop in partial-match domain (PMD) influence. That post happened very early in the multi-week update, so let’s look at the PMD influence data across a 30-day time period that includes all of the high-temperature days:

While there was a lot of movement during this period, you can see that PMDs recovered some of their initial losses around July 4th. The overall trend is downward, but the June 25th drop doesn’t appear to have been permanent.
It’s interesting to note, even if not directly relevant to this analysis, that the long-term trend for PMD influence in our data is still decidedly downward. Here’s a graph back to the beginning of 2013:

So, how have EMDs fared? They seem to show a similar pattern, but in a much tighter range. Scaled to the same Y-axis as the PMD chart above, we get this:

The EMD data is fairly consistent with Dr. Matt Peters’ early report on our 2013 Ranking Factors study. Keep in mind that we are measuring two different things – the correlations show how well PMDs/EMDs ranked compared to other domains, whereas MozCast tracks how many PMDs/EMDs ranked across the data set. If the number of total PMDs drops, but they rank roughly as well, the correlations will remain stable, but the “PMD Influence” metric will drop. In other words, the correlations measure how well PMDs rank, whereas MozCast measures how many PMDs rank.
Which PMDs Lost Long-term?
There’s one more question we can ask about the drop and subsequent recovery in PMD influence. Did the PMDs that fell out eventually come back, or were they replaced by different PMDs? The metric itself doesn’t tell us, but we can dig deeper and see who lost out long-term.
On the initial drop (between June 25-26), 62 PMDs fell out of our public 1K MozCast query set. New PMDs always enter the mix, so the net drop is smaller, but 62 PMDs that were ranking on June 25th weren’t ranking on June 26th. So, let’s compare that list of 62 to the data on July 5th – after the apparent recovery. On July 5th, 37 of those PMDs (60%) had returned to our data set. This certainly suggests some amount of legitimate recovery.
So, which losing PMDs failed to recover? Here’s the complete list (query keywords in parentheses):
- californiacarshows.org (car shows)
- digital-voice-recorder-review.toptenreviews.com (voice recorder)
- fullyramblomatic-yahtzee.blogspot.com (yahtzee)
- virginiamommymakeover.com (mommy makeover)
- www.appliancepartscenter.us (appliance parts)
- www.appliancepartssuppliers.com (appliance parts)
- www.campagnolorestaurant.ca (campagnolo)
- www.campagnolorestaurant.com (campagnolo)
- www.capitalcarshows.com (car shows)
- www.chicagoweddingcandybuffet.com (candy buffet)
- www.dollardrivingschool.com (driving school)
- www.elitedrivingschool.biz (driving school)
- www.etanzanite.com (tanzanite)
- www.firstchoicedrivingschool.net (driving school)
- www.fitzgeraldsdrivingschool.com (driving school)
- www.monogrammedgiftshop.com (monogrammed gifts)
- www.moscatorestaurant.com (moscato)
- www.newjerseyluxuryrealestate.com (luxury real estate)
- www.ocsportscards.com (sports cards)
- www.phoenixbassboats.com (bass boats)
- www.rvsalesofbroward.com (rv sales)
- www.sri-onlineauctions.com (online auctions)
- www.stoltzfusrvs.com (rvs)
- www.vibramdiscgolf.com (vibram)
It’s not my goal to pass judgment on the quality of these domains, but simply to provide data for further analysis if anyone is interested. You can see that there are a few examples of multiple PMDs falling out of a single query, suggesting some kind of targeted action.
How Did The Big 10 Do?
In MozCast, we track a metric called the “Big 10” (I did my grad work at U. Iowa, so I should probably have thought twice about that name) – it’s just a count of the total percentage of top 10 ranking positions held by the 10 most prominent sites on any given day. Those sites may change day-to-day, but tend to be fairly stable. Looking back to the beginning of 2013, we see a clear upward trend (this graph starts on January 8th, due to a counting issue we had with YouTube results at the beginning of the year):

The “Big 10” gained almost 2-1/2 percentage points in the first half of the year. Some of the gain across the year represents a shuffling of sites in the mix (Twitter falls in and out of the “Big 10”, for example, and the root eBay domain struggled earlier this year), and some of this is a symptom of other changes. As Google gets more aggressive about spam, the sites that already dominate naturally tend to take more spots.
I thought it would be interesting to look at these numbers alongside the year-to-date PMD and EMD numbers, but the “Big 10” doesn’t seem to tell us much about the multi-week update. As a group, they moved only a fairly small amount between June 25th and July 5th (from 14.97% to 15.17%). Whatever Google tested and rolled out over this period, it didn’t dramatically advantage big brands in our data set.
What Happened, Then?
Unfortunately, the patterns just aren’t clear, and digging into individual queries that showed the most movement during the multi-week update didn’t reveal any general insights. The volatility during this time period seems to have been real, and my best guess is that while some changes stuck, others were made and rolled back. Google may have been doing large-scale testing of algorithm tweaks and refining as they went, but at this point the exact nature of those changes is unclear. Between the multi-week update and Google’s announcement of 10-day Panda roll-outs, it appears that we’re going to see more prolonged updates. Whether this is to mitigate the impact of one-day updates or make the update process more opaque is anyone’s guess.
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SearchCap: The Day In Search, July 24, 2013
Below is what happened in search today, as reported on Search Engine Land and from other places across the Web. From Search Engine Land: Adobe First To Announce Support For Bing Product Ads Today, Adobe announced it’s first to market with support for Bing Product Ads. Very similar to Google…
Please visit Search Engine Land for the full article.
Adobe First To Announce Support For Bing Product Ads
Today, Adobe announced it’s first to market with support for Bing Product Ads. Very similar to Google Product Listing Ads, Bing Product pull from merchant’s product feeds to show product images, prices and other details on search results pages. According to the Adobe release, Adobe…
Please visit Search Engine Land for the full article.
Ad & Marketing Execs See Facebook, LinkedIn, Google+ Investments Increasing [Survey]
Sixty-two percent said Facebook would see an increase in investment, while 51 percent said LinkedIn would, and exactly half stated Google Plus would be an area of social media to increase marketing and advertising efforts.
Report: Google PLAs Dominate CSE Channel Like Never Before [CPC Strategy]
CPC Strategy’s latest Shopping Comparison Engine report shows Google’s grip on the market only tightened in Q2. Across performance metrics, Google PLAs (product listing ads) continue to outperform other CSEs by wide margins. For example, in Q1, Shopping.com, Pricegrabber and Amazon…
Please visit Search Engine Land for the full article.
Google to Pay $8.5 Million to Settle Search Query Privacy Case
Google agreed to give $8.5 million to a handful of nonprofits as well as revise the language within its privacy policy in order to settle a case that claimed Google leaked personal information of users to third parties through referrer headers.
Google Adds Enhanced Campaigns Bid Adjustment Reporting To Google Analytics
Google announced today that Bid Adjustments reports for AdWords enhanced campaigns are now included in Google Analytics. The reporting, found in the Advertising section under Traffic Sources in Analytics, are designed to help advertisers analyze the pe…
Does Duplicate Content From Terms & Conditions Affect Google Rankings?
Webmasters have long been told to never create duplicate content. But what about necessary duplicate content, such as privacy policies and other required legalese that websites are required to carry? Google’s Matt Cutts says don’t stress about it.
Slick New Overhaul Brings Rank Tracking Back To Raven Tools
Late last year many Raven Tools users were surprised to find that Search Engine ranking data had been removed. Under pressure from Google, Raven yanked the SERP data and focused the tool on helping SEOs and Internet Marketers with analyzation tools. Well Raven users that have missed the tracking…
Please visit Search Engine Land for the full article.
Google’s Matt Cutts On Hidden Text Using Expandable Sections: “You’ll Be In Good Shape”
In the latest video answer from Google’s Matt Cutts, the head of Google search spam, Matt answers a question about “hiding” text in JavaScript/AJAX-like expandable menus. Matt said that generally this practice is acceptable within Google’s webmaster guidelines, if and only…
Please visit Search Engine Land for the full article.
GEICO Hump Day Commercial Dominates Social Video, At Least on Wednesdays
A new Unruly Media report finds a pattern with the sharing activity of GEICO’s “Hump Day” that represents a significant opportunity for marketers on other days of the week. Also, online video ad shares increased by 7 percent in Q2 of 2013.
Anatomy of an RCS Pitch to C-Level Execs
In my recent Mozcon presentation, I spoke at length about the fact that learning to pitch is something we all have to get better at doing, so we can get to do RCS (real company stuff). While many of you agreed. Change “My clients won’t invest in #RCS” to “I don’t know how to pitch.” […]
Twitter fakes real users’ tweets to promote ad platform
It’s now been removed but twitter added tweets to “real” twitter accounts for a promo ad of how good the company integrates with TV ads.
SFgate posted:
Poll: How Much Of The Marketing Budget Should SEO Get?
A HighRanking Forum thread has a site owner asking overall what should one allocate of the marketing budget towards SEO…