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Feels great to be in a new job at a much responsible position. A new feeling indeed. Path ahead full of challenges that offers me enough potential and workspace to prove myself in my domain. And yes, it was really nice to go for a movie with all the company staff in such a short span of my joining. Hope to see more and more movies together! And ya my old pals do keep in touch. Don’t dare to forget!! 
Hi Folks,
Hope all is fine with everyone. I personally feel that my blog has become too 
much technical now and is now quite overburdened with technology related posts!! I even got feedback from some of my friends saying that your blog has become purely technology based.
Infact, I was thinking to start a separate blog for sharing my personal experiences and for mentioning other fascinating things I see around and want to share with everybody. Soon I realised that it won’t be too easy to manage two blogs simultaneously.
So finally I decided to incorporate some off technical posts as well in this blog only through which I can share my experiences and lots of other interesting things with all my favorite blog visitors . So get ready to see much more interesting and lively posts on my blog now in coming days. Enjoy life. Cheers!!
Cost per Click (CPC) plays a crucial role in every PPC Campaign.
In a PPC campaign we choose a set of targetted keywords for our PPC campaign and assign a bid rate (CPC in other words) to each keyword depending upon the competition associated with that keyword in the advertising market.
In simple words if we have assign a Cost per Click (CPC) of $2 to a keyword in our campaign “ppc services india”, then for every click on an ad triggered through this keyword we have to pay $2 to Google as part of our PPC program. Higher the CPC associated with a keyword, more are the chances of PPC ad appearing high in the sponsored ads (ad position). But yes, as far as Google is concerned the ad position depends on several other factors as well besides just CPC. Google ranks an ad as per a formula which is:
Ad Rank = Keyword CPC X Keyword Quality Score
Now the question that comes to one’s mind is what is this Quality Score?
The different factors which determine the quality score for a keyword are:
a) Keyword’s Click Through Rate
b) Ad text relevance
c) Past performance of the keyword
d) Quality of the Landing Page
Here Click Through Rate (CTR) refers to the ratio of clicks to impressions expressed as a percentage.
CTR = Clicks/Impressions X 100
So if we are able to get a good CTR for a keyword we can easily reduce the bid rate for that keyword without compromising on the ad rank for an ad triggered through that keyword.
We normally track the traffic to our websites through Google Analytics. For this we have to just place the analytics code in the source code of the web-pages and thats done.
But what if the case is like we want to track the traffic of a domain and subdomain separately e.g We have a website abc.com and a subdomain on it xyz.abc.com. We want to analyse traffic for these two domains separately. In such a scenario Google Analytics requires adding a new line in the analytics source code of all the domain and subdomain pages.
The new code looks like this:
<script type=”text/javascript”>
var gaJsHost = ((“https:” == document.location.protocol) ? “https://ssl.” : “http://www.”);
document.write(unescape(“%3Cscript src=’” + gaJsHost + “google-analytics.com/ga.js’ type=’text/javascript’%3E%3C/script%3E”));
</script>
<script type=”text/javascript”>
var pageTracker = _gat._getTracker(“UA-xxxxxx-x”);
pageTracker._setDomainName(“example.com”);
pageTracker._initData();
pageTracker._trackPageview();
</script>
The line marked in bold needs to be added into the existing analytics code in all domain and sub-domain pages and refers to the primary domain. After adding this code on all the concerned pages, we can easily track the domain and sub-domain traffic through a single profile in Google Analytics. Here’s wishing you tons of traffic to your website!!
What’s a Google?
“Googol” is the mathematical term for a 1 followed by 100 zeros. The term was coined by Milton Sirotta, nephew of American mathematician Edward Kasner, and was popularized in the book, “Mathematics and the Imagination” by Kasner and James Newman. Google’s play on the term reflects the company’s mission to organize the immense amount of information available on the web.
Google Technology Overview
Google stands alone in its focus on developing the “perfect search engine,” defined by co-founder Larry Page as something that, “understands exactly what you mean and gives you back exactly what you want.” To that end, Google has persistently pursued innovation and refused to accept the limitations of existing models. As a result, Google developed its own serving infrastructure and breakthrough PageRank™ technology that changed the way searches are conducted.
From the beginning, Google’s developers recognized that providing the fastest, most accurate results required a new kind of server setup. Whereas most search engines ran off a handful of large servers that often slowed under peak loads, Google employed linked PCs to quickly find each query’s answer. The innovation paid off in faster response times, greater scalability and lower costs. It’s an idea that others have since copied, while Google has continued to refine its back-end technology to make it even more efficient.
The software behind Google’s search technology conducts a series of simultaneous calculations requiring only a fraction of a second. Traditional search engines rely heavily on how often a word appears on a web page. Google uses numerous factors including its patented PageRank™ algorithm to examine the entire link structure of the web and determine which pages are most important.
It then conducts hypertext-matching analysis to determine which pages are relevant to the specific search being conducted. By combining overall importance and query-specific relevance, Google is able to put the most relevant and reliable results first.
>> PageRank Technology: PageRank reflects Google’s view of the importance of web pages by considering more than 500 million variables and 2 billion terms. Pages that Google believes are important pages receive a higher PageRank and are more likely to appear at the top of the search results.
PageRank also considers the importance of each page that casts a vote, as votes from some pages are considered to have greater value, thus giving the linked page greater value. Important pages receive a higher PageRank and appear at the top of the search results.
Google’s technology uses the collective intelligence of the web to determine a page’s importance. There is no human involvement or manipulation of results, which is why users have come to trust Google as a source of objective information untainted by paid placement.
>> Hypertext-Matching Analysis: Google’s search engine also analyzes page content. However, instead of simply scanning for page-based text (which can be manipulated by site publishers through meta-tags), Google’s technology analyzes the full content of a page and factors in fonts, subdivisions and the precise location of each word. Google also analyzes the content of neighboring web pages to ensure the results returned are the most relevant to a user’s query.
Life of a Google Query
The life span of a Google query normally lasts less than half a second, yet involves a number of different steps that must be completed before results can be delivered to a person seeking information.
1. The web server sends the query to the index servers. The content inside the index servers is similar to the index in the back of a book – it tells which pages contain the words that match the query.
2. The query travels to the doc servers, which actually retrieve the stored documents. Snippets are generated to describe each search result.
3. The search results are returned to the user in a fraction of a second.
Disclaimer: This article has been posted just for information purposes. All the technologies and other technical terms belong to Google. For further details please visit: http://www.google.com
Hi friends,
I am using a TFT display screen at my workplace. Many of you might also be using it for viewing. Differences between TFT and Plasma have been a topic of debate in our office few months back. Some assumed both to be the same thing while some held a viewpoint that they are two separate technologies.
So, I researched on net and noted the following major differences between TFT and Plasma technology.
Following are the major differences between TFT/LCD and Plasma panels.
LCD/TFT.1) Fast moving images tend to blur leaving behind “trailer effect”.
Plasma.1) Quick motion picture response renders fast moving scenes such as sports and action movies smoothly and naturally.
LCD/TFT.2) Viewing LCD at 45 degrees drops the contrast by approx 70%.
Plasma.2) Maintain high contrast at any angle. Perfect for a living room for viewing from all angles.
LCD/TFT.3) Exceptional color handling capability but not completely accurate as it relies on back light filter mounted reproduction.
Plasma.3) Self emitting light pixel panel color reproduction is richer, realistic and natural.
Read more about TFT and Plasma at:
http://en.wikipedia.org/wiki/TFT_LCD
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