Friday, October 2, 2009

The Google Algorithm updated


The Algorithm updated in the Google Page Rank is an link analysis which is named after the Larry Page which is used by the Google Internet search engine that has assigned a numerical weighting to each element of the Google Algorithm which is the hyperlinked set of the document such as the World Wide Web. The Algorithm is applied to any number of collection of entities or entries with the reciprocal quotations and the all the references. The numerical weight thst it assigns to any given element E is called the Page Rank of E and is denoted by PR(E). The name Page Rank is a trademark of Google, and the Page Rank process has been patented. However the Patent is assigned to the Standard Universityand it is not at all the Google. Google has exclusive license rights on the patent from the Standard University. Finally to say tha tthe University has received the 1.8 million shares of Google in the patent, and the newly latest share wee sold in 2005 for $336 million. PageRank is a probability distribution used to represent the likelihood that a person randomly clicking on links will arrive at any particular page. The Google Toolbar's PageRank feature displays a visited page's PageRank as a whole number between 0 and 10. The most popular websites have a PageRank of 10. The least have a PageRank of 0. Google has not disclosed the precise method for determining a Toolbar PageRank value, previously it could still be found by visiting: http://www.google.co.uk

How To Get More PPC Traffic For Less Money

Search advertising success is defined by relevance. The concept of relevance is broad, but logical: it’s the relationships between advertiser, keyword, ad copy and the landing page/ post click experience. So, how do we know if our relationships are strong, and our account is relevant?

Simple: Quality Score for Google, or Quality Index for Yahoo.

There are several components of Quality Score, illustrated quite nicely below:



Three of the six components are controllable (keyword relevance, ad relevance, and landing page content); two of the components are byproducts (clickthrough rate (CTR) and historical performance); and the last (other relevancy factors) is simply AdWords reserving the right to make subjective decisions and dash a little bit of their secret sauce on the formula. We know that Quality Score is important, otherwise it wouldn’t exist… but how important is it? The AdWords team recently upgraded the help center to include several articles on how Google uses Quality Score. Most notably, they provide a clean equation for how Quality Score is used to calculate position:

Ad Rank = Quality Score * Max Bid

As each auction (impression) is dynamic (different advertisers, bids, etc), this equation is not linear. That said it is very logical that if there are two advertisers in an auction and advertiser A has a Quality Score of 10 and advertiser B has a Quality Score of 5, advertiser B must bid twice what advertiser A bids to achieve rank 1. Taking this one step further, let’s assume there are several players in the auction and it becomes clear that by improving Quality Score, an advertiser in a lower rank with a relatively low impression share can get the same, if not more traffic for less money. This concept is by no means revolutionary, but it’s helpful to see a real application of Quality Score and further understand its importance.

Now that Quality Score is defined, we can focus on how to maximize the relationships between keyword, ad copy and landing page content—getting these all right will greatly contribute to achieving a high Quality Score.

My previous post on organizing a PPC account for maximum success was centered on creating relevant ad groups and campaigns (at the AdGroup/keyword level—I’m defining relevant terms that can use the same piece of ad copy). This is because Quality Score is a product of more than a single keyword and its ad copy and landing page—the “other relevancy factors” mentioned previously include advertiser legitimacy. That is, whether or not the advertiser is relevant to the keyword being bid on and the advertisement being displayed on the search engine. What this means is that if an advertiser is bidding on what appear to be arbitrary keywords (from the search engine perspective) then it will be more difficult even for relevant keywords to achieve the maximum Quality Score.

Assuming that an account is well organized, ad copy should be uniquely tailored to each AdGroup, simultaneously qualifying clicks while containing compelling messaging. Every impression should generate bold text in the ad (achieved when ad copy contains one or more words from the actual query) yet not appear to be dynamically generated using generic dynamic keyword insertion (DKI). Because DKI injects the query into the ad, it’s a very useful tool when keywords in a given AdGroup are not perfectly similar. This is not to take away from the value of DKI, but generic ads may indicate that an advertiser offers something that is not true, leading to lots of clicks and no conversions. If using DKI, be sure to qualify users with the non-DKI portion of the ad and a strong negative keyword set to ensure honest messaging and mitigate bounce rates.

Whether or not DKI is being used, the landing page plays a significant role in determining relevance. Search engines are looking for the keywords(s) from both query and ad to also be present on the landing page—in text, not in an image. Also, landing pages should not be cluttered. They should feature information about the service or product being offered as well as a clean, direct route to conversion, whether the conversion event is a purchase, registration or additional pageviews. Don’t try to push too much: focus on the message being advertised and the product or service being offered. Furthermore, unless unavoidable (or the business offers only one product or service), the homepage should not be used as the landing page because homepages tend to be generic and focused around the business as a whole instead of the product being advertised (an exception would be ads using brand terms, where searchers would expect to be delivered to the brand’s home page). And last but not least, test and test, and then test again. Testing various combinations of ads and landing pages is critical to constantly improving results while maintaining fresh messaging.

Google SERPs Analysis: Which Factors to Take into Account?

Google algorithm is a mystery but we do know there are plenty of factors and signals taken into account. Thus, one thing is for sure: you can’t take SERPs analysis lightly: there are plenty of things to consider to make some judgments as to how easy it will be to achieve top ten rankings.

So how do you evaluate your future SERPs neighbors and competitors? Here’s a list of various factors to pay attention to:

* Average toolbar PR (while most people prefer to ignore this completely, I still think it is important when taken NOT in isolation). Tool: SEOquake FireFox addon
* Average backlink power (how many backlinks – on average – does each page have?) Tool: SEOquake FireFox addon
* Average domain power (domain age, backlinks, etc) Tool: SEOquake FireFox addon
* QDF (Query Deserves Freshness) factor: how many (if any) "fresh" results are there in top 10 results? How often do search results change. Tools: choose any of these SERPs tracking tools.
* Page type tendency? Do most pages among top SERPs reflect informational, navigational, or transactional intent? Here’s a great observation expressed in a recent WebmasterWorld thread: