Posts tagged Equal
All Google Display Network Conversions are NOT Created Equal
Feb 21st
The temptation to lower your maximum cost-per-click can be too powerful to resist at times, but don’t be fooled by lower max CPC! By lowering that price, you’re lowering the quality of your placements and, in turn, the quality of your conversions.
View full post on Search Engine Watch – Latest
In Social Networks, Not All Opinion Leaders Are Created Equal
Jul 2nd
Marketers have known for a while that they need to find opinion leaders discussing their products on social networks if they want to control their branding message. But new research says there are different kinds of opinion leaders, with two types giving brands distinctly different but equally valuable types of information.
The research by Carolin Kaiser and Freimut Bodendorf of the University of Erlangen-Nuremberg was published last month in Internet Research, an academic journal, and used text-mining algorithms to track discussions about Apple’s iPhone products on 17 German websites and social networks. For a decade, researchers have been looking at online opinion leaders and how a handful of people can influences the opinions of large groups of people, but Kaiser and Bodendorf were able to identify two key types of opinion leaders in social networks: discussion leaders and knowledge leaders.
Why It’s Important
Previous studies have found that 34% of Twitter users and 22% of Facebook users post opinions on products at least once a week, and those opinions have a big impact on purchasing decisions. In fact, people weigh online recommendations from other consumers equally to their own experience, and a 2009 study suggested they may place more weight on online recommendations than offline recommendations from friends when making purchasing decisions.
All of this has put a greater emphasis by marketers to figure out what people are saying about their products in online forums and to try to influence that. Just five years ago, that was a relatively easy task, as influence in different sectors was usually confined to a handful of bloggers. Now, however, big brands can have thousands of opinion leaders influencing opinions about their product, and those opinion leaders are often spread out over a wide range of social networks and online forums.
Social networks have also put greater weight on the types of relationships between people within a network, and analyzing those relationships has not been addressed in more than a handful of empirical studies.
Kaiser and Bodendorf used a series of algorithms to mine forum discussions and found that there were several different types of discussion leaders. Two in particular stood out in their ability to influence consumer opinions: discussion leaders, who tended to exchange lots of statements with other users about a product, and knowledge leaders, who had a high level of expertise and ended up answering lots of questions about products.
Discussion Leaders
Discussion leaders tend to be in central positions in social networks and also tend to spend time trying to get people to share their opinions. As a result, there tends to be a lot of agreement between discussion leaders and the people they interact with in online social networks.
For that reason, Kaiser and Bodendorf argued, discussion leaders can be valuable in helping marketers spread positive opinions about their product or brand.
“Marketers should monitor the opinions of discussion leaders continuously in order to estimate the opinion development of the network at an early stage. Marketing managers can exploit the influence of positive-oriented discussion leaders to spread information on their products,” Kaiser and Bodendorf wrote. “In addition, they can try to win neutral discussion leaders by providing them with free samples. Negative-oriented discussion leaders can be countered by discussion.”
Knowledge Leaders
Knowledge leaders know a product; as a result, users often ask them direct questions. There tends to be less agreement in opinion between knowledge leaders and the people they interact with, as knowledge leaders are more apt to allow and consider opinions that differ from their own.
“Due to their expert knowledge, weaknesses and strengths of products can be recognized on the basis of their opinions,” Kaiser and Bodendorf said. “Thus, valuable information for product improvement can be gained.”
View full post on ReadWriteWeb
Smaller-Screen Creative: Why Smartphones & Tablets Aren’t Created Equal
Apr 25th
Smartphone and tablet ownership continues to grow, so why are marketers still approaching mobile advertising in the same way online campaigns are planned? Never fear! You can break through and achieve optimal ROI if you’re willing to get creative.
View full post on Search Engine Watch – Latest
Google Plus SEO could equal profit for companies with smart social media strategy – Toronto Star
Feb 9th
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Google Plus SEO could equal profit for companies with smart social media strategy
Toronto Star … including key link to al Qaeda Air Canada loses $60M in fourth quarter Tooba Yahya to appeal murder convictions Google Plus SEO could equal profit for companies with smart social media strategy Google Plus, Facebook, Twitter, social media and. |
View full post on SEO – Google News
When Does 500 Million Equal A Lot Less Than 500 Million? When Twitter Hits Its Next Milestone
Jan 19th
Much is being made out of projections by Twitter tracking service Twopcharts’s projections that Twitter will activate its 500 millionth account next month, but a closer look at the microblogging service’s growth shows anything but a steady rise.
Twitter passed the 200 million mark last February and then, on May 18, it reached 300 million accounts. That’s 50 percent growth in roughly 90 days and the milestone gave Twitter stock as one of the Big Two (at the time) social networks.
But something happened on the way to 400 million accounts. It would be 162 days before Twitter reached the 400 million account mark on Oct. 28. Depending on what day in February Twitter reaches 500 million users, it will have taken the company 95 to 124 days to add 100 million users: better than the climb from 300 million to 400 million, but still not as fast as growth 200 million to 300 million.
Milestones like this tend to be arbitrary, but they’re especially so in Twitter’s case. The company only counts accounts that have been opened and does not factor in accounts that have been closed by Twitter or the user. By Twopchart’s estimates, about 12% of all Twitter accounts ever opened have been closed, meaning that by the time the 500 million number is reached, there may only be about 440 million existing Twitter accounts.
Facebook is expected to surpass a billion users in August, which is all the more staggering because of the company’s strict policy requiring people to register under their real names. Twitter, on the other hand, lets users open multiple accounts, and even spoof accounts or accounts for services.
There are other layers of complexity in figuring out Twitter’s reach: by its own estimates, the service has 100 million “active” users, but it’s safe to say the majority of accounts are inactive or rarely used. Twopchart has an interesting blog post full of data, including an analysis of what has happened to the 400 millionth account.
@AdenMo has tweeted just once since becoming the account number 400 million, has just three followers and is only following one account. That’s a fairly typical account, based on Twostory’s analysis and their estimate that only about 20% to 25% of new Twitter accounts convert into active Twitter accounts.
“The vast majority of new accounts only has a limited amount of followers and following, and based on the amount of tweets sent, and the submission date of last tweets, probably only a maximum of 20%-25% convert to active new twitter users, with only about 10% accounts that actively send tweets,” Twopchart said in the blog post.
View full post on ReadWriteWeb
Why All Video Views Are Not Created Equal – Tips For Seeding Branded Video Content – ReelSEO Online Video News
Nov 22nd
![]() ReelSEO Online Video News |
Why All Video Views Are Not Created Equal – Tips For Seeding Branded Video Content
ReelSEO Online Video News The following is an index of our more popular video search engine optimization (Video SEO, VSEO,… Many of us here at ReelSEO are still settling back into our routines following the awesome SMX West… We had the privilege of speaking with Bruce Clay … |
View full post on SEO – Google News
Honeycomb Puts Android 3.0 Tablets On Nearly Equal Footing With iPad
Feb 2nd
This morning Google showcased the features of its new tablet-optimized version of Android: Honeycomb. Danny live-blogged the press event, Honeycomb represents a dramatic improvement over Gingerbread for tablets in several respects. The UI is the most obvious example, as well as developer tools on…
Please visit Search Engine Land for the full article.
View full post on Search Engine Land: News About Search Engines & Search Marketing
Honeycomb Puts Android Tablets On Nearly Equal Footing With iPad
Feb 2nd
This morning Google showcased the features of its new tablet-optimized version of Android: Honeycomb. Danny live-blogged the press event, Honeycomb represents a dramatic improvement over Gingerbread for tablets in several respects. The UI is the most obvious example, as well as developer tools on…
Please visit Search Engine Land for the full article.
View full post on Search Engine Land: News About Search Engines & Search Marketing
All Links are Not Created Equal: 10 Illustrations on Search Engines’ Valuation of Links
May 27th
Posted by randfish
In 1997, Google’s founders created an algorithmic method to determine importance and popularity based on several key principles:
- Links on the web can be interpreted as votes that are cast by the source for the target
- All votes are, initially, considered equal
- Over the course of executing the algorithm on a link graph, pages which receive more votes become more important
- More important pages cast more important votes
- The votes a page can cast are a function of that page’s importance, divided by the number of votes/links it casts
That algorithm, of course, was PageRank, and it changed the course of web search, providing tremendous value to Google’s early efforts around quality and relevancy in results. As knowledge of PageRank spread, those with a vested interest in influencing the search rankings (SEOs) found ways to leverage this information for their websites and pages.
But, Google didn’t stand still or rest on their laurels in the field of link analysis. They innovated, leveraging signals like anchor text, trust, hubs & authorities, topic modeling and even human activity to influence the weight a link might carry. Yet, unfortunately, many in the SEO field are still unaware of these changes and how they impact external marketing and link acquisition best practices.
In this post, I’m going to walk through ten principles of link valuation that can be observed, tested and, in some cases, have been been patented. I’d like to extend special thanks to Bill Slawski from SEO By the Sea, whose recent posts on Google’s Reasonable Surfer Model and What Makes a Good Seed Site for Search Engine Web Crawls? were catalysts (and sources) for this post.
As you read through the following 10 issues, please note that these are not hard and fast rules. They are, from our perspective, accurate based on our experiences, testing and observation, but as with all things in SEO, this is opinion. We invite and strongly encourage readers to test these themselves. Nothing is better for learning SEO than going out and experimenting in the wild.
#1 – Links Higher Up in HTML Code Cast More Powerful Votes

Whenever we (or many other SEOs we’ve talked to) conduct tests of page or link features in (hopefully) controlled environments on the web, we/they find that links higher up in the HTML code of a page seem to pass more ranking ability/value than those lower down. This certainly fits with the recently granted Google patent application – Ranking Documents Based on User Behavior and/or Feature Data, which suggested a number of items that may considered in the way that link metrics are passed.

Those who’ve leveraged testing environments also often struggle against the power of the "higher link wins" phenomenon, and it can take a surprising amount of on-page optimization to overcome the power the higher link carries.
#2 – External Links are More Influential than Internal Links

There’s little surprise here, but if you recall, the original PageRank concept makes no mention of external vs. internal links counting differently. It’s quite likely that other, more recently created metrics (post-1997) do reward external links over internal links. You can see this in the correlation data from our post a few weeks back noting that external mozRank (the "PageRank" sent from external pages) had a much higher correlation with rankings than standard mozRank (PageRank):

I don’t think it’s a stretch to imagine Google separately calculating/parsing out external PageRank vs. Internal PageRank and potentially using them in different ways for page valuation in the rankings.
#3 – Links from Unique Domains Matters More than Links from Previously Linking Sites

Speaking of correlation data, no single, simple metric is better correlated with rankings in Google’s results than the number of unique domains containing an external link to a given page. This strongly suggests that a diversity component is at play in the ranking systems and that it’s better to have 50 links from 50 different domains than to have 500 more links from a site that already links to you. Curiously again, the original PageRank algorithm makes no provision for this, which could be one reason sitewide links from domains with many high-PageRank pages worked so well in those early years after Google’s launch.
#4 – Links from Sites Closer to a Trusted Seed Set Pass More Value

We’ve talked previously about TrustRank on SEOmoz and have generally reference the Yahoo! research paper – Combating Webspam with TrustRank. However, Google’s certainly done plenty on this front as well (as Bill covers here) and this patent application on selecting trusted seed sites certainly speaks to the ongoing need and value of this methodology. Linkscape’s own mozTrust score functions in precisely this way, using a PageRank-like algorithm that’s biased to only flow link juice from trusted seed sites rather than equally from across the web.
#5 – Links from "Inside" Unique Content Pass More Value than Those from Footers/Sidebar/Navigation

Papers like Microsoft’s VIPS (Vision Based Page Segmentation), Google’s Document Ranking Based on Semantic Distance, and the recent Reasonable Surfer stuff all suggest that valuing links from content more highly than those in sidebars or footers can have net positive impacts on avoiding spam and manipulation. As webmasters and SEOs, we can certainly attest to the fact that a lot of paid links exist in these sections of sites and that getting non-natural links from inside content is much more difficult.
#6 – Keywords in HTML Text Pass More Value than those in Alt Attributes of Linked Images

This one isn’t covered in any papers or patents (to my knowledge), but our testing has shown (and testing from others supports) that anchor text carried through HTML is somehow more potent or valued than that from alt attributes in image links. That’s not to say we should run out and ditch image links, badges or the alt attributes they carry. It’s just good to be aware that Google seems to have this bias (perhaps it will be temporary).
#7 – Links from More Important, Popular, Trusted Sites Pass More Value (even from less important pages)

We’ve likely all experienced the sinking feeling of seeing a competitor with fewer and what appear to be links from less powerful pages outranking us. This may be somewhat explained by the value of a domain to pass along value via a link that may not be fully reflected in page-level metrics. It can also help search engines to combat spam and provide more trusted results in general. If links from sites that rarely link to junk pass significanly more than those whose link practices and impact on the web overall may be questionable, they can much better control quality.
NOTE: Having trouble digging up the papers/patents on this one; I’ll try to revisit and find them tomorrow.
#8 – Links Contained Within NoScript Tags Pass Lower (and Possibly No) Value

Over the years, this phenomenon has been reported and contradicted numerous times. Our testing certainly suggested that noscript links don’t pass value, but that may not be true in every case. It is why we included the ability to filter noscript in Linkscape, but the quantity of links overall on the web inside this tag is quite small.
#9 – A Burst of New Links May Enable a Document to Overcome "Stronger" Competition Temporarily (or in Perpetuity)

Apart from even Google’s QDF (Query Deserves Freshness) algorithm, which may value more recently created and linked-to content in certain "trending" searches, it appears that the engine also uses temporal signals around linking to both evaluate spam/manipulation and reward pages that earn a large number of references in a short period of time. Google’s patent on Information Retrieval Based on Historical Data first suggested the use of temporal data, but the model has likely seen revision and refinement since that time.
#10 – Pages that Link to WebSpam May Devalue the Other Links they Host

I was fascinated to see Richard Baxter’s own experiments on this in his post – Google Page Level Penalty for Comment Spam. Since then, I’ve been keeping an eye on some popular, valuable blog posts that have received similarly overwhelming spam and, low and behold, the pattern seems verifiable. Webmasters would be wise to keep up to date on their spam removal to avoid arousing potential ranking penalties from Google (and the possible loss of link value).
But what about classic "PageRank" - the score of which we get a tiny inkling from the Google toolbar’s green pixels? I’d actually surmise that while many (possibly all) of the features about links discussed above make their way into the ranking process, PR has stayed relatively unchanged from its classic concept. My reasoning? SEOmoz’s own mozRank, which correlates remarkably well with toolbar PR (off on avg. by 0.42 w/ 0.25 being "perfect" due to the 2 extra significant digits we display) and is calculated with very similar intuition to that of the original PageRank paper. If I had to guess (and I really am guessing), I’d say that Google’s maintained classic PR because they find the simple heuristic useful for some tasks (likely including crawling/indexation priority), and have adopted many more metrics to fit into the algorithmic pie.
As always, we’re looking forward to your feedback and hope that some of you will take up the challenge to test these on your own sites or inside test environments and report back with your findings.
p.s. I finished this post at nearly 3am (and have a board meeting tomorrow), so please excuse the odd typo or missed link. Hopefully Jen will take a red pen to this in the morning!
View full post on SEOmoz Daily SEO Blog

