MatrixAdapt | Logiciel de gestion d'Entreprise, Création et référencement des sites web

Kenapa judul harus hati-hati membeli rumah, karena sekarang ini banyak sekali makelar atau broker alias calo penjual rumah yang tidak bertanggung jawab. Sudah bukan rahasia umum lagi jika di suatu wilayah jabotabek indonesia (saya tidak menyebutkannya, tapi anda pasti tau daerah mana) bahwa suatu rumah di daerah tersebut sering di jual berulang-ulang dan tentunya akan menjadi masalah nantinya.

Cara Mengoptimalkan Kata Kunci Blog Anda -- Saat ini masih banyak blogger yang berharap bisa mendapatkan banyak pengunjung dari Google. Bagaimanapun trafik dari Google memang trafik yang berkualitas bagi pebisnis online, dan termasuk trafik yang otomatis terjadi jika SEO anda sudah berhasil.


Sebelumnya mungkin teman-teman blogger sudah membaca artikel riset kata kunci dan Google Webmaster

Seo Master present to you: Today we're excited to announce our new Google Analytics Asynchronous Tracking Code snippet as an alternative way to track your websites! It provides the following benefits:

• Faster tracking code load times for your web pages due to improved browser execution
• Enhanced data collection & accuracy
• Elimination of tracking errors from dependencies when the JavaScript hasn't fully loaded

Here is the JavaScript source of the new tracking snippet:

<script type="text/javascript">

  var _gaq = _gaq || [];
  _gaq.push(['_setAccount', 'UA-XXXXX-X']);
  _gaq.push(['_trackPageview']);

  (function() {
    var ga = document.createElement('script');
    ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 
        'http://www') + '.google-analytics.com/ga.js';
    ga.setAttribute('async', 'true');
    document.documentElement.firstChild.appendChild(ga);
  })();

</script>

The first part of the asynchronous tracking code snippet assigns the _gaq variable to a JavaScript array. After that, two tracking API calls (encoded as arrays) are pushed onto _gaq. When the tracking code initializes, it transforms the _gaq object from a standard array into a new object and executes all the tracking API calls initially collected in the array. With this feature, you can immediately store all necessary tracking calls even before the Google Analytics tracking code is downloaded! No more worrying about race conditions or dependency issues on the ga.js tracking code.

The second half of the snippet provides the logic that loads the tracking code in parallel with other scripts on the page. It executes an anonymous function that dynamically creates a <script> element and sets the source with the proper protocol. As a result, most browsers will load the tracking code in parallel with other scripts on the page, thus reducing the web page load time. Note here the forward-looking use of the new HTML5 "async" attribute in this part of the snippet. While it creates the same effect as adding a <script> element to the DOM, it officially tells browsers that this script can be loaded asynchronously. Firefox 3.6 is the first browser to officially offer support for this new feature. If you're curious, here are more details on the official HTML5 async specification.

Once loaded, the tracking code, transforms the _gaq array into an Analytics _gaq object. This object acts as a wrapper for the underlying _gat object and executes all the commands, sending data to your Google Analytics account. Your page code can ignore this fact though, because the _gaq.push syntax can be used at any time. See the Asynchronous Tracking Usage Guide for more details.

The new tracking code is now in Beta and available to all Google Analytics users. Keep in mind that use of the code is also optional: all your existing Google Analytics code will continue to work as-is should you decide not to adopt the new tracking method. But if you want to improve the speed of your website and the increase accuracy of your Analytics data, then we think you'll love this new option.

Learn more about this new tracking code in our Google Code developer docs and get started with our migration guide.

By Brian Kuhn, Google Analytics Team2013, By: Seo Master