Search engine optimization(Backlink)

What make a quality backlink???

Backlinks are the lifeblood of any successful website or affiliate business. Most people are aware that backlinks are good, but few know just how vital they are to their website. Even fewer understand how backlinks affect your Google ranking and how to create a good one.

What is a backlink?

A backlink is simply when a link to your website appears on another website or elsewhere on the World Wide Web.

Why are they so important?

The easy answer to this is that backlinks are one of the primary ways that Google gauges how valuable your website and its content is. If you have good, strong, quality backlinks to your website, then Google and other search engines see you as an authority on a given subject or keyword. That means they put you at the top of the search engine results, they increase your page rank and they increase your visibility. This means that you get more traffic, and therefore make more money in sales, affiliate marketing and even advertising. Google juice is powered by backlinks in large part.

What is a quality backlink? Aren’t all backlinks created equal?

Absolutely not! Backlinks are not remotely created equal. Consider this, for example. If you were a newspaper reporter and the local newspaper picked up your story, you would be thrilled, right? What if you were picked up by the New York Times, Wall Street Journal or USA Today? Would that not be better? That is how backlinks work too. The better the source of the link, the better the link both to your website, Google and your readers. You want to get quality backlinks more than anything, that will power your website to new heights.

Webmaster tool

          Google have introduced new report in  Google Webmaster tool named "Author stats".This help to know the the clickthrough rate of the author and the we can know the exact pageview of the user.This shows how often ur content is shown in google search result.In google webmaster tool go to "Labs" and view the "Author stats".

web analytics (important metrics to track)

          We've broken them down into three overarching areas to track, with multiple metrics to help you understand different aspects of each.

The first thing you want to track is an accurate measure of how many people are using your site, which is neither as easy nor as clear-cut as you might think. Metrics which address this statistic include:

• Hits: This metric probably doesn't make sense to track, but you'll hear a lot about it - a hit measures the total number of requests for text, images, and files your web server receives for a given page. Despite what software packages may lead you to believe, hits are virtually meaningless when it comes to actually understanding what users are doing on your site. Because the number of hits a site receives depends on how it's organized rather than how visitors interact with it, this metric is useful only in evaluating such information as server load.
• Visits: The most common unit of measurement in site analytics is the number of visitors to a particular site or page. The trend in the overall number of visits to your site over time can give you insight into your site's popularity. Comparing the number of visits to each page is also a good way to identify which parts of your site are most useful to visitors.
• Unique Visitors: This is the number of site visits by different users. If two people visit the site three times each, you'd have six visits by two unique visitors. Comparing visits to unique visitors can help you understand whether users are returning to your site over and over, or whether you are attracting a large number of users who only visit once or twice.
• Page Views: This is the number of times any page was viewed by any visitor, and is often divided by visits to give a page-views-per-visit figure that represents the average number of pages each visitor viewed on a single trip to your site. Increased page views can indicate a more interesting site, or simply one that requires people to jump through hoops to find what they need.

         Next, you'll want to track who the visitors to your site are, in broad terms, and what they're doing when they visit - in other words, what site features and pages engage them? Which ones go ignored? Metrics to help understand these factors include:

• Bounce rate: Bounce rate is the percentage of visits where the visitor left your site after viewing only one page. This metric is typically used to measure visit quality. For example, a high bounce rate might indicate that site entrance pages are either not relevant or compelling enough to your visitors. On the other hand, if you have a blog or article-based site, it may make sense for visitors to come, view one article, and leave
• Top Entry and Exit Pages: This refers to the pages on which most visitors enter your site - don't assume it's the home page - and leave it. These pages can be good places to begin when you are optimizing your site.
• Visitor Information:You can discover a lot about your visitors through analytics tools, including how many are new to the site, the country or region where they're located, the web browser they're using, and much more.
• Click Paths: Also called click tracks, or click trees, these are graphical representations of typical journeys through your site. For instance, a click-path chart might show you that 20 percent of your home page visitors go on to click the Resources link, while 15 percent visit the About Us page - and that 60 percent then leave the site and 10 percent go on to the Board page.
• Conversion: This is a complex-but-valuable statistic that typically needs to be customized in a tool or calculated by hand. Conversion tracks the number of people who did what you wanted them to from a given starting point - for example, the number of users who went from a Donate link on your home page all the way through the donation process, or the percentage of people who viewed your home page and then signed up for your newsletter.
• Tracking Registered Users: If parts of your site require users to log in, a web analytics tool can track exactly what they did during each visit to the site. (Without a login, it's not practical to link up data for a particular person from one visit to another.) This can allow for more detailed analyses and understanding of what different types of visitors are doing on your site.
• Site Search: Some packages allow you to see what people search your site for. This can help you understand what visitors are looking for, and what they are having trouble finding.

Lastly, it can be beneficial to track where visitors to your site are coming from. This can help you find similar sites or better understand the types of things that lead people to you. Metrics include:

• Referrers: These are the external links people follow to get to your site. For example, if TechSoup links to Idealware's site, TechSoup would show up as a referrer in Idealware's web stats. This metric can be very useful in tracking a big influx to your site or just in staying on top of who's talking about you.
• Search Keywords: Many packages can show the words or phrases people typed into search engines like Google or Yahoo! that led them to your site.

These metrics should be enough to get you started, but powerful web analytics tools support even more sophisticated analysis. There are people who make a living analyzing web statistics - if you have a large site and the desire for deep usage analysis, you may wish to consult with one of them.

The world of analytics is complicated by the fact that not every software tool handles metrics in the same way. Determining what sequence of web actions to interpret as a "visit" or a "unique visitor" is complex, and somewhat subjective. Different tools calculate these figures differently. Some types of software - called "log analytics" software - look at traffic based on a log of what pages your web server provides, while others rely on what's reported back by "cookies" - pieces of information sent back by each user's browser.

comparison of web analytics tools

Google analyitcs

Sitecatalyst

Webtrends

Coremetrics

Google analyitcs

Free easy to deploy,easy to use,very flexible.

Sitecatalyst

Discover,insight,Test and target,SearchCenter etc....Market leader as an enterprise tool.incredibly flexible and powerfull...but with great power comes great complexity(implementation and maintenance)

Webtrends

Segments(formerly Marketing),Optimize,Apps,Social etc..."the Original"...but lost its way for few years,good product ,but playing catch-up

Coremetrics

Explore,Monitor,Benchmark etc...Its mainly built for eCommerce-from the tag structure all the way through the reporting interface.

Comparison of Webtrends,Omniture and Google analytics

• Google Analytics does not allow (Terms of Service) capturing data in a way that allows reporting at the user-level. WebTrends and Omniture do not have that ToS limitation, and both of them enable access to that data through add-on production (Warehouse and Discover respectively)
• Omniture requires pretty heavy configuration at the page-level using the page tag and a host of variables. This is good, in that it provides a lot of flexibility...but it means you'd better understand the process end-to-end (from data capture all the way through to the reporting environment), and you'd better have a robust process for managing your tags. Google Analytics has pretty limited page-level configuration options, but it has the ability to easily do "pre-processing" of the data through the creation of profiles and filters; Webtrends is sort of a hybrid, in that it lets you drop meta tags in the page content and include those in the raw data (similar to Omniture), but it also provides pre-processing configuration (also through profiles and profile filters) before the data actually makes it to the final database. Omniture does have a pre-processing capability, but it requires Omniture staff to actually implement them (Vista rules).
• Google Analytics shines at visitor-level segmentation, and, when a segment is created, it can be applied to historical data. Omniture and Webtrends really require their extended services (Discover and Warehouse) to segment the traffic.
• Google Analytics is free. Omniture and Webtrends are not. (Rumors are that Google is coming out with a paid version, too, but the free version will continue to be available).
• Omniture and Google Analytics have pretty lousy user management -- you're either a "user" with access limited to specific areas, or your an admin, with access to everything. Webtrends has much more robust, roles-based user management.
• Omniture and Webtrends both offer page-level clickstreams, while Google Analytics only has a "previous page / next page" capability. Page-level clickstreams are pretty worthless, but that's a setup for the next point.
• Omniture has super-robust "pathing" capabilities. For any "traffic variable" (these are populated by the page tag at the page level -- see the second bullet above), you can have pathing turned on and get aggregated clickstream data. And, because you have multiple traffic variables to work with, you can carve your site up along different dimensions and "path" them that way. Webtrends has aggregated pathing as well (content group paths), but it's limited. Google Analytics has no aggregated pathing.
• Both Omniture and Webtrends enable the uploading of meta data into the system. The most common use of this is with campaign tracking -- you use a simple ID for the campaign tracking parameter, and then use a backend files to map that ID to a specific campaign name, channel, description, etc. Google Analytics does not have a way to push meta data into the sytem and then use it to report natively within the Google Analytics environment.

web analytics(google analytics vs omniture)

• Campaign reporting. GA allows for multiple dimensions– in particular, motion charts, advanced segments, and the various multi-dimensional views that are metric specific. I believe Omniture is inferior in this regard because of GA’s ability to visualize data in cross-tab (pivot) and related view formats. In other words, it’s easier to uncover trends in GA than by hunting through Omniture.
• Integration. This is usually a red herring across most Internet marketing companies. The most important integration in analytics and PPC software is that of CRM interaction (salesforce.com, Eloqua, Microsoft Dynamics, SugarCRM, etc..) and offline conversions. This almost always requires some custom work, since every company has a different underlying data model (which they should), as well as a different sales funnel and attribution scheme. The collection, integration, and weighting of this data is not an out-of-the-box software module, but an exercise of sophisticated marketing analytics. Online conversion tracking is relatively simple for all enterprise-level analytics tools, whether using a method like Google URL Builder or cookie tracking. Google has a significant advantage in tracking activity from and on Facebook, despite the marketing efforts put forth by Omniture.
• Funnel tracking. Omniture does allow for multiple paths. Our viewpoint is that the more sophisticated method is to measure event-level attribution (page or click), rather than force the analyst (you) to have to define each particular path to analyze. The traditional methods of slice-and-dice is a needle in a haystack approach — you should prefer your analytics tool to do the legwork to tell you what combinations of pages lead to a conversion or a poor user experience. We are not aware of any clickstream analytics tool that does this out of the box. With the number of combinations of attributes events, and pages possible, you need click level data and a correlation algorithm to pull out the right combination of trends to view. You cannot do this out of GA yourself, because you’ll need the raw data to calculate. That said, log file parsing is probably the most practical solution here if you want to go that far in analytics, given that Omniture doesn’t know how to do it (we’ve had multiple calls with their top people and they are stumped).
• User tagging. Omniture does allow for more variables to be stored. You’ll want to consider what use cases you have that cannot be solved via an advanced segment and parsing urls. If you’re interested in Omniture’s solution, please read the chapter in their implementation guide — it’s a confusing read, but they do allow collection of personal data. Google doesn’t allow collection of such data for privacy reasons. Not sure about auditing requirements — any certification of data accuracy would have to rely upon click-level data out of your logs, which Google can’t do (unless you have the old urchin, which is not recommended).
• Goal tracking. Google has recently expanded from 4 goals to 20 goals. Most companies misuse goal-setting, as they confuse segments and points within the funnel as goals. The more goals you have, the more complex the attribution. It’s hard enough to do attribution when you have only 1 goal and many events for which you have to allocate credit — now try matrix attribution with many goals and many events. To the best of our knowledge, almost nobody has single goal attribution down, so matrix attribution is not even in the vernacular of analytics yet.
• Page overlays. Cool tool with wow factors for both GA and Omniture– but usually not usable because of tracking problems and multiple links on a page that have the same URL. On the latter, let’s say that on a particular page, there are two links to get to another page (a topnav and a footer nav link)– if they have the same destination url, you won’t be able to tell which one drove the click. We have rarely found the visual overlays to offer accurate data.
• Data freshness. Generally a 2-10 hour delay on Google. Data freshness is most important is when you have events that require real-time optimization. Keep in mind that PPC data may be on a full day lag and you’re limited by your weakest link. Thus, if your web analytics is only 30 minutes behind, but your PPC and CRM are 4 hours behind, you’re really 4 hours behind (or you’re making inaccurate decisions). Further, the concept of statistical significance is such that you have to gather enough data to determine what’s going on. At Yahoo!, we decided that a 3 day reporting delay (because we needed 2.5 days to crunch attribution) was worth the trade-off in speed versus effective optimization. You’ll have to decide what data you really need at what frequency.
• Independence. Several of the government agencies we have talked to don’t use Google Analytics because open source is considered off-limits. Some major advertisers don’t use GA because of the potential conflict of interest in having your analytics being tracked with the place you spend your money. And there are the “tin foil hat” and anti-monopoly people that in general don’t believe you should have your analytics, PPC, landing page testing, mail, and so forth with the same company. Given practical realities, we don’t think this is an issue right now.
• Effectiveness. Google AdWords is going to have more effective (effective meaning increasing profits, as opposed to allowing you to create more reports) tools than 3rd party tools– they have to, because they have the advantage of more data. Case in point– the Conversion Optimizer of Google versus any bid management tools. With the exception of folks like ClickEquations (market leader who is good, but not great), in our opinion, nobody yet has a sophisticated method of bid management.

SEO AND WEB ANALYTICS

INTERESTING FACTS ABOUT DOMAIN NAME!!!!

              You've thought up a brilliant idea for a new Web 2.0, AJAX-enabled web app, or you're about to release a thus-far-unnamed killer software app. Now you just need to find the perfect domain name for it to live at (and, in true new-economy fashion, you'll base your corporate name upon whatever available domain name you find... PILLAGEANDPLUNDR Corporation).

          You pull up GoDaddy and start punching in clever names, along with their many variations, only to find that they're all seemingly taken.

"This can't be!" you cry. "Has every possibility already been registered?"

          Given that there are approximately 50 million .COM domains registered, it is indeed true that the low-hanging fruit domain names are overwhelming taken, and your chances of lucking upon an unnoticed available three-letter acronym (TLA) are close to zero, and your only recourse would be to haggle with domain speculators

What About Acronyms?

     If you want one of the 676 possible two-letter sequences, for instance for an acronym or abbreviation, you're out of luck: They're all taken. Even allowing for digits, giving 1296 combinations, again every single variation is taken.

      Of course, that's ignoring the fact that .COM registrars now mandate a 3-character minimum length, so it wouldn't be an option anyways.

     Of the 17,576 possible three-letter sequences, again every single one is already taken. Adding digits to the mix (note that I'm intentionally ignoring obtuse dashes for such short domain names, though technically they are legal from the second character onwards), giving 46,656 permutations, yields a larger number of garbage domain entries (either REGISTRAR-LOCKED, REDEMPTIONPERIOD, or with no nameservers), giving a false hope of 228 seemingly open domains, yet they aren't actually available.

        If you're dying to acquire great domains like 8VZ.com or Q6X.com, they'll free up within a month, though it seems evident that there are swaths of domain speculators acquiring every variant when they come available, so they won't go without a fight.

        Stepping up to four letter sequences, choosing among the 456,976 combinations, yields a vastly greater availability -- perhaps the set is a bit too large for domain speculators and their unlikely success with random sequences -- with 97,786 showing as open. A quick check verifies that most are legitimately available. "Choice" domains, such as AGJV.com, EIYK.com, GZVW.com, and QFEV.com. Adding digits into the mix and there are a massive 1.16 million open domains, so long as you're looking for something like 7RG8.com, or U3JZ.com. Choose one and then manufacture a ridiculous backronym to explain it.

       Going to 5-letter sequences (yet another five-letter acronym? YAFLA?), and of course the possibilities are rich, again presuming that you're willing to accept an arbitrary sequence of letters and/or digits, creating a backronym to match. Using just letters you have a rich 11,881,376 possibilities, of which approximately 11,015,028 are unclaimed.

How Long Are Most Domains?

        Of course many of the registered domains are seldom, if ever, visited, with a huge percentage having nothing more than a parked page (users pay domain registrars to put up ads for themselves). Thus, analyzing the domain database without taking into account popularity/traffic is of limited value, but it does provide for a bit of entertainment.

        As mentioned, 100% of 2 and 3 letter domain names are taken, but it starts to free up as the number of possibilities expodes, all the way up to 63-character domain names. The most popular registered domain name length is actually 11 characters long, tailing off from there.

       The fun doesn't end at 31 characters, however. There are 253,000+ non-IDN domains that are 32 characters or longer, including 538 that are 63 characters long.

 These include such superlative domains as ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ.com, WEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEBWEB.com, and DIDYOUKNOWTHATYOUCANONLYHAVESIXTY-THREECHARACTERSINADOMAIN-NAME.com.

What About Names?

The US Census Bureau has some handy common name files available on their site, so I thought I'd see how one's luck would be trying to register their own name(s).

If you're looking for a masculine domain name, you'll be disheartened to learn that of the 1219 male names listed by the US Census Bureau, every single one is registered. If you're looking for something feminine, you're in luck: As I type this, of the 2841 female names listed by the Census, you can soon grab the lucrative recently expired Erlinda.com, or the sitting in purgatory Shanita.com, though both are technically currently taken.

On the family name front, 100% of the top 10,000 family names are registered.

Cross joining the top 300 male names with the top 300 family names finds that ~10,112 of the 90,000 possibilities aren't registered, to the benefit of anyone named Antonio Hughes and Lawrence Torres out there! Similarly, cross joining the top 300 female names with the top 300 family names finds that ~14,103 possibilities are unclaimed.

Domain Name Love

On the love front, 1958 (68.9%) of the 2841 possible 'ILOVE'-prefixed female names (using the census set of names) sit unclaimed, which is surprizing, as only 665 (54.5%) of 1219 'ILOVE'-prefixed male names remain available.

Continuing down that path, the seedier side of the internet is hardly a secret, and it's evident in the DNS database as well. 268,971 domains contain the sequence SEX (11,333 of them also containing the sequence FREE), while 143,683 domains contain the sequence LOVE.

Other Tidbits

The most common letter to start a domain is S, with relatively few domains starting with Q, X, Y or Z.

While the most common digit to start a domain is, unsurprizingly, 1.

Every successful company has remoras and haters, so it was interesting to look at the number of suffixed alternatives for some well-known domains. While some of these are actually owned by the root domain owner, most are hanger-ons and critics.

Samples include GOOGLE-AMERICA, GOOGLE-BUDDY, MICROSOFT-EBOOKS, SLASHDOTREVIEW, SLASHDOTSLASH, and YAHOO2007.

Web analyitcs-Omniture

           Omniture® SiteCatalyst® is now Adobe® SiteCatalyst®, powered by Omniture®. Adobe SiteCatalyst provides marketers with actionable, real-time web analytics intelligence about digital strategies and marketing initiatives. Adobe SiteCatalyst helps marketers quickly identify the most profitable paths through a website, segment traffic to spot high-value web visitors, determine where visitors are navigating away from the site, and identify critical success metrics for online marketing campaigns. Adobe SiteCatalyst is part of the Adobe® Digital Marketing Suite of applications for online business optimizations.

       The three main process we saw in omniture site catalyst is

• Analysis
• Implementation
• Reporting

we have two things in coding part

Java script pagecode:

          This is a block of site catalyst-specific java script code that goes directly in the body section of each HTML page.

Java script library file:

          This is a collection of site catalyst-specific method and global site catalyst variable stored in a seperate file which is called from JS page code.

Web Analytics:Omniture

Hai friends!!!

      I had training in omniture...we came to know about the three main variables used in omniture.

The three variables are:

•                  s.props
•                  s.events
•                  s.eVars

s.props:

Its a traffic variable which is non persistent variable used to count the number of times each value is sent to site catalyst.We can create our own custom traffic.

s.events:

Its the action done by the visitor that you want to track.There are many pre defined events.(prodView,scAdd,purchass).

s.eVars:

Its the conversion variable .These variables are associated with an event and are recorded when the event is triggered.

     

         And we saw two types of codes  or implementation used in omniture

• s_code
• page code

s_code is a basic code used in omniture which is also called as vanilla code.and page code is pasted in each and every page thiss_code is stored in web server

Then we saw admin process and how to create a report suite...

Quick Response code

QR CODES

         QR codes have started to pop-up in lot of places such as store display, business cards, online ads, postcards etc. Whether QR codes are here to stay or not but from the measurement perspective they do present a huge opportunity in measuring advertising's (particularly offline) effectiveness.

If you are one of those marketers who have embraced QR code or are thinking about it or just curious to know how QR code measurement works then this post is for you.

Measuring URLs in QR Codes

   We won’t be able to measure the number of impressions of the QR codes if they are distributed offline. What you can measure is how much traffic those QR codes are driving to your site or to your pages on 3rd party sites like facebook page, twitter account etc.

• Measuring QR code links to your site
  
           Measuring QR codes that sends user to your site is as simple as campaign tracking. Just add the campaign tracking variable to the URLs that you have in your QR Codes and treat it like any other campaign. Then you can use your campaign reports to see how much traffic QR codes are bringing and how valuable that traffic is.
  
  (Note: The tracking code, that you should append, depends on your Web Analytics tool.
  
           For Google Analytics, you need to append add at least 3 variables, Source, Medium and Campaign Name. to the URL for it to be tracked in the Google Analytics (Check out URL Shortner, http://clop.in as it’s URL builder let’s you append the variables for tracking in Google Analytics, Omniture, WebTrend and Unica NetInsights )
• Tracking Phone Numbers in QR Code
  
           To Track phone numbers, that get dialed when someone scans a QR code, use a unique phone number that you have tracking for. If you don't have unique phone number then you can use 3rd party services likes Marchex to get a unique phone number for each QR code that you publish.
  Review:
         We  think QR codes are cool, but they actually have a few important limitations compared to text-based codes, like O-Codes (disclaimer: I am the CEO of O-Codes). We have been enamored by the technology behind QR codes, but created something we think is simpler for our clients to use, and allow them to follow up with interested customers via SMS. So they not only get the analytics but they get captive leads for people who are specifically interested in particular products. O-Codes also work well in settings that are trickier to use QR codes (TV, radio, billboards, magazines in the context of product mentions inline in text, catalogs where there is not enough to room to use a QR code with every product). In the end, we love the fact that marketers and smart bloggers are educating the public about ways to connect the offline and online worlds together, and extend analytics to traditional media
  

Recent news about GOOGLE

Google Acquires Apture, Katango!!!

 

         So far this year, Google has acquired 23 companies...and the year isn't over yet. Its two latest acquisitions, Apture and Katango, just might be game-changing. At the very least, they could put a serious crimp in the plans of the search engine's competitors. One assists the search engine with its powerful yet still new social network, while the other could take its ability to monetize search to a whole new level.

Katango is a company which released an iPhone application in July that generates a list of Facebook friends. The science and algorithms behind it is a bit complicated. Here's a video of Robert Scoble interviewing Katango co-founder/chairman Yoav Shoham on how their product works.

      To protect their intellectual property, Shoham in the interview can hardly be more specific than “magic” when asked how it works. He does, however, explain that it took them a year to figure out how to work this particular brand of magic, and that it uses much more than comments, contacts, and “likes” to find and pull together appropriate clusters of friends.

    Not long after Katango rolled out its application, Facebook revamped, adding more features and service – in part, some believe, in response to Google+ allowing users to join without requiring an invitation from someone who was already a Google+ member. The overhaul included a new Smart Lists feature that gave Katango serious competition. The social network's new feature can autogenerate lists based on location or how people know each other.

     While this Facebook update jeopardized Katango's future as a third-party app for Facebook, there are other big social networks online – and many of them really appreciate a scrappy innovator. Indeed, Google's founders and Katango's founders share a school. Larry Page and Sergy Brin went to Stanford, where Yoav Shoham teaches computer science, and Katango co-founders Thuc Vu and Michael Munie received their PhDs.

   Google acquired Katango for an undisclosed sum. How soon Google+ users will see benefits from the purchase (and the technology) is also unknown. But with Google making regular changes and tweaks to its social network, anything that will help its users find, sort and organize their friends will no doubt be very welcome. That's especially true if the search engine can make it easier and more intuitive than similar features on Facebook.

    But it's the search engine's latest acquisition that could really revolutionize their revenue stream. As Miranda Miller, writing for Search Engine Watch puts it, Google's purchase of Apture “may give them the ability to monetize every page on the Web.” It sounds like an insane overstatement, but given Apture's technology, it might not be.

What Apture exactly does??? This short video provides some tips. Basically, if you're on a web page enabled with Apture's technology, you can highlight a word and click to get more information about that topic – and here's the important part – without leaving the page you're on. When you click, a small window pops up with the information. And if you find something in THAT window on which you want more information, you can highlight and click again, and you still haven't left your original page. At last, it's a practical use for pop-ups!
        Apture is perhaps best known for its Highlights plug-in showcasing this technology. The browser plug-in works in Chrome, Firefox, and Safari. Best of all, for those who want more than text, the kinds of search results it brings up in its little pop-up window include videos, news, and images. Apture also makes a white-label version of Highlights, used on such respected sites as Economist.com and The Financial Times. Miller notes that publishers use this version “to create an HTML-based overlay for readers to explore topics without leaving the page, using a single line of JavaScript.”
        Apture is a slightly older start-up; founders Tristan Harris and Can Sar note that the company has been around since 2007. And they've been busy; in their announcement stating that they're joining Google, the company notes that they've enhanced more than a billion pages with their products. Apture's founders and employees will join the Google Chrome team, as indicated by the former noting in their announcement that “The modern web is an amazing platform, so stay tuned for even more enhancements to your Chrome browsing experience.”
         Not surprisingly, this has led to some changes. Apture's Highlights browser plug-in has already been taken out of the Chrome store. Miller reports that “All Apture plug-ins will shut down over the next month.” So what exactly will Google do with Apture's technology now?
         Miller envisions the search engine incorporating AdWords into this Highlights technology. Imagine the power of putting ads into every single one of those pop-up search bubbles. These ads would not be like those annoying pop-ups many of us have encountered on the web before; those ads often came unbidden. In this case, the ad would accompany an answer to a request for information, thus following the same pattern we've all become accustomed to when using a search engine in the conventional way.
         “The potential for Google is huge,” Miller notes, as the search engine could start “effectively monetizing every single page viewed by Chrome users.” Is that more than a billion pages? Quite a bit more, as Chrome boasts 200 million monthly active users. There's no telling what the click-through rate is likely to be, but given how precisely contextual the searches are, appropriately targeted ads could do very well indeed. My own personal guess is that you can expect to start seeing Google offer this kind of advertising in Chrome, in beta, as an AdWords option sometime in the first or second quarter of 2012. I'd rather not speculate on when or whether Microsoft will offer something similar with Internet Explorer.
Friends share ur views about this article……

web analytics and seo

    HAVE A LOOK OVER THIS!!!!

Web analytics

Hai! This post is about the various Web analytics tools…I have not worked in any of these tools but as I was searching for both paid and free tools for web analytics  and the only difference between free and paid is that the paid services provide enhanced/advanced analytics options and can even calculate the success of your marketing campaigns.

Some of them are listed below

Clicktale web analytics

Piwik analytics

Omniture analytics

Webtrends analytics

Google web analytics

Yahoo web analytics

Statcounter web analytics

            But in one discussion ,they stated that Clicktale web analytics is the best because it provides tremendous options, amazing reports and incredible tools that you can use to enhance your web presence and deliver great results by simply optimizing your website. Then there are advanced reports that help you increase traffic on your website by means of investing in only those campaigns that result in greater profits.

Web analytics

Now we can see mobile ad performance in Google Analytics!!

     All AdWords metrics available in Google Analytics can be segmented by these new mobile and tablet dimensions.As many consumers begin to make use of tablets or high-end mobile devices, businesses need to understand this shift towards mobile and adapt our marketing mix. This mobile ads reporting enhancement in Google Analytics is one of many steps that they have taken towards helping ous make more sense of how mobile advertising interacts with our business.

WEB ANALYTICS

WEB ANALYTICS ADVANCED UNITS OF MEASURE

Users

Unique hosts

Visits or sessions

Visit tracking with cookies

WEB ANALYTICS

WEB ANALYTICS BASIC MEASUREMENT UNITS

HITS AND IMPRESSION

‘Hit’ is defined as a single request for any item on your website. This can include images, animations, audio, video, downloads, PDF or Word documents or anything else that you allow visitors to access. When a web browser loads a page, it also loads all the components referenced by that page. This means that it requests all the images often including ‘roll over’ images for mouse effects and, perhaps, stylesheets, JavaScript files or other external references. A single page load can result in many hits.

The term ‘impression’ has been adopted into web analytics lingo from traditional advertising. In advertising, a count of impressions is the number of times an advertisement has been seen or heard. With websites, we have logs to tell us the number of hits the server has registered for the ad. When requests for a particular item, such as a page or advertisement are counted, these hits can nominally indicate how many times the item was seen and are therefore sometimes counted as impressions. It can be indicative of the user experience. If a single visit to your home page generates 75 hits, that means the new visitor has to wait through loading 75 items before she gets the full experience. Most browsers will only load four or five items at a time, so loading the home page will take a while. It might be a good idea to rethink the design of that site to reduce the number of items on the pages so they load faster.

PAGE VIEWS

   Page hits are a much more useful metric than hits for analyzing user experience. Web sites are organized into pages, and users (and designers) think of them in pages, so counting page hits makes more sense. Now that you have loaded your home page, wander around your site a bit. Keep track of the number of times a new page loads. This is the number of page hits your visit is registering. The more time you spend on the site, exploring, the more page hits you register. So page hits represents the navigational experience of the visitor.

GRAPHICS HITS

   Other types of hits are important too. “Graphics Hits,”, are the number of requests for images, animations or other graphics. Graphics are often larger than the content of a page and take up a good portion of bandwidth as well as requiring the visitor to wait while the page loads. Looking at Figure 1, you can see there were 19,493 Graphics Hits. If the number of graphics hits for your site is significantly larger than that of page hits, then there are probably a lot of graphics on some or all of your pages. You might consider redesigning the site to make it load faster.

DOWNLOADS

   Finally, Summary counts “Downloads.” This can be programs, archives, zip files, or PDF documents that users download from your site. If you distribute software or documents from the site, it is helpful to have a quick count of the number of downloads in each period.

ERRORS

One of the great features of Summary is that these metrics are counted in the context of many of the reports. So, for example, every period in the time reports contains columns of Hits and Pages, as well as other useful information. Errors are simply a count of the number of requests for items that did not complete – either because they were not there or could not be produced. It is a quick measurement of your site’s diagnostics.

BYTES

The count of bytes in a period is very useful for tracking the bandwidth usage on your network. If you are billed for bandwidth usage on a monthly basis you can see an estimate of the amount of bandwidth your website used in the Summary Monthly Report Bytes column .You can also use bytes to assist in improving the design of the site. Individual pages can take a long time to load if the graphics they reference are large. You can look at the ratio of Bytes to Pages in a report and determine the load-average for each page on your site.

web analytics

can any one say the future scope of web analytics tools like google analytics