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	<title>SEO &#38; PPC Expert UK, Bing SEO Crawley &#124; Google Consultant</title>
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	<link>http://www.theecommercesolution.com/blog</link>
	<description>SEO (Google, Yahoo, Bing) is demanding and emerging field of Search Engine Marketing(SEM)… SEO:A Process of Continuous Change or alteration…? Google, Yahoo &#38; Bing SEO tips</description>
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		<title>Online Shopping and E-Commerce</title>
		<link>http://www.theecommercesolution.com/blog/2011/11/11/online-shopping-and-e-commerce/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/11/11/online-shopping-and-e-commerce/#comments</comments>
		<pubDate>Fri, 11 Nov 2011 19:08:43 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[Click stream data]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=641</guid>
		<description><![CDATA[ikoni Online shopping through e-commerce is another important way of business through internet. Through click stream, every body has now easy access of shopping from far places. Many researchers are in favour of online shopping, because we just click on the good to be buy and give the address of residence, and within one hour the goods will be received at your door step. Therefore, e-commerce websites are dominant in the modern scenario. Much of the modeling work has focused on whether or not a site visitor will complete a transaction and the factors which might predict this. Several different approaches to this problem have emerged, with each using click stream data in various ways. Besides purchase conversion, click stream data have also played an important role in understanding online auctions as well as the role of shop bots. There are several approaches to understand Purchase Conversion modeled with click stream data. One of the important approaches given by Moe and Fader (2004a, 2004b) to online purchase, given a site visit, has used stochastic models. They develop stochastic models of evolving visit behavior to e-commerce sites (e.g., CDNow and Amazon) using Media Metrix panel data from 1998. Among their modeling [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Email Marketing Tool for advertisers</title>
		<link>http://www.theecommercesolution.com/blog/2011/10/23/email-marketing-tool-for-advertisers/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/10/23/email-marketing-tool-for-advertisers/#comments</comments>
		<pubDate>Sun, 23 Oct 2011 07:11:18 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[Email Marketing]]></category>
		<category><![CDATA[Email Marketing Tool]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=638</guid>
		<description><![CDATA[Email Marketing is another important advertising tool on the Internet. Usually, companies used to send emails to the users which are registered with them. These emails may contain text, editorial content, and graphics designed to promote a site, attract visitors, and sell products or services. A link or a set of links are sent by companies to their registered users. These links provides complete information about new and old products. The entire link enables the user to move directly to the site (or purchasing pages). Though emails are inexpensive to send on a variable cost basis, the wrong content can make email ineffective and, worse, lead to its classification by the user a “junk email.” Given the differences across users in potential interests, an important question is whether or not customizing outbound emails might be effective in increasing click through rates. This question is comprehensively addressed by Ansari and Mela (2003). They develop a two-phase approach to customizing email communications using individual-level data of click stream. The first phase specifies and estimates a model of click through probability as a function of the content and design features of the email. The second phase uses the probability model parameter estimates as [...]]]></description>
		<wfw:commentRss>http://www.theecommercesolution.com/blog/2011/10/23/email-marketing-tool-for-advertisers/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
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		<title>Paid Search and their benefits</title>
		<link>http://www.theecommercesolution.com/blog/2011/10/20/paid-search-and-their-benefits/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/10/20/paid-search-and-their-benefits/#comments</comments>
		<pubDate>Thu, 20 Oct 2011 20:17:35 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[Pay Per Click]]></category>
		<category><![CDATA[Cost Per Click]]></category>
		<category><![CDATA[Paid search]]></category>
		<category><![CDATA[pay per clicks Management]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=636</guid>
		<description><![CDATA[Paid search is another service which is offered by Internet search engines. In paid search service, the advertiser selects specific keywords and creates a text ad that will appear when a user searches for these keywords. According to a survey, there is a very big Internet advertising growth over recent years (growing between 26 and 174% yearly from 2003 to 2007; e-Marketer 2007). This growth is mostly due to the unique opportunities that paid search and search engine marketing offer. The users of Search engine are looking to reach their goal and providing information that might help to fulfill that goal. In spite of the importance of paid search, and the success of firms such as Google and Yahoo, there is as yet no published academic research in marketing studying paid search using clickstream data. Many Economists have interest in online auctions for text ad assignment for search terms where sponsors proposal against each other to obtain higher positions in the display of search results to the user (for example, Ostrovsky, Edelman, and Schwarz 2007). There is also an extensive practitioner literature on search engine marketing, consisting primarily of shorter “white papers.” Rutz and Bucklin (2007b) have left an example [...]]]></description>
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		<slash:comments>0</slash:comments>
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		<title>Banner Ads for the Internet businesses</title>
		<link>http://www.theecommercesolution.com/blog/2011/09/21/banner-ads-for-the-internet-businesses/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/09/21/banner-ads-for-the-internet-businesses/#comments</comments>
		<pubDate>Wed, 21 Sep 2011 10:30:59 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[banner ads]]></category>
		<category><![CDATA[banner advertising]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=634</guid>
		<description><![CDATA[In banner-type advertisement, when an Internet user is visible, whether he clicks or not on the ad., he is taken by click through to another site, usually where more detailed information about the product or service can be found. Chatterjee et al (2003) model banner ad click through using an individual-level binary log it (click/no-click formulation). According to the site-centric data of click stream, they said that there may be the possibility that the user clicks on the banner, even the ad has not yet been clicked by that user during the current session. They find that consumers are equally likely to click on banner ads placed early or late in the navigation path. They also find that repeated banner experiences increase the click through rate when consumers are less disposed to click. The click through rates have been a popular measure of banner advertisement, they are not without problems. It has been observed that there are also some issues with click through including fraud and the dramatic decline in its rates (for example, DoubleClick 2003). In spite of this, the advertisers are satisfied of advertising format of banner ads. Part of this may come from other significant outcome variables [...]]]></description>
		<wfw:commentRss>http://www.theecommercesolution.com/blog/2011/09/21/banner-ads-for-the-internet-businesses/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Advertising on the Internet</title>
		<link>http://www.theecommercesolution.com/blog/2011/09/18/advertising-on-the-internet/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/09/18/advertising-on-the-internet/#comments</comments>
		<pubDate>Sun, 18 Sep 2011 09:02:42 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[Internet advertising]]></category>
		<category><![CDATA[internet marketing]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=629</guid>
		<description><![CDATA[Internet advertising is a new form of business and has now become an important part of marketing. Today, most companies are growing day-by-day through internet advertisement; because every man, even a child has approach to the internet. On the other hand, we must say that much of the Internet is sustained by incomes from the sale of various forms of advertising. According to the survey of 2006 by PricewaterhouseCoopers, most companies, with spending in the U.S. growing from $4.6 billion in 1999 to $16.9 billion (PricewaterhouseCoopers 2006). There are two major categories of online advertising (so-called “banner” ads) and paid search advertising (the advertisements are displayed by search engines such as Google, Bing and Yahoo! etc). Click stream research is based on banner-type advertising which is a recording of what a computer user clicks on while Web browsing or using another software application. As the user clicks anywhere in the webpage or application, the action is logged on a client or inside the Web server. Different researchers have written on different type of internet advertising but in the present scenario most of researchers have focused on click stream-based research. In this topic, I would like to discuss the variety of [...]]]></description>
		<wfw:commentRss>http://www.theecommercesolution.com/blog/2011/09/18/advertising-on-the-internet/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Browse and Search Across Websites</title>
		<link>http://www.theecommercesolution.com/blog/2011/08/28/browse-and-search-across-websites/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/08/28/browse-and-search-across-websites/#comments</comments>
		<pubDate>Sun, 28 Aug 2011 18:35:33 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[internet Browsing]]></category>
		<category><![CDATA[Search Across Websites]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=618</guid>
		<description><![CDATA[There are number of studies are present in which the behaviour of end users observed within the site searching and browsing of data of click stream across the different websites. The data of user-centric, advantageous in nature, maintained the records of the every user of the websites. The behaviour of the user is checked while surfing the different websites and searches in the same website. This helps in predicting the individual behaviour of the user at the competitive websites. Some other researcher also studied on the Metrix data of Media and observed that there are two websites of competing in each of category of product, variety of book and the Compact Disks. According to them, the pattern of visit improves the site visiting and in terms of profit handling from the provided sites. The authors showed that how it can be used the technique of forecasting when the consumer might make his initial visit to site. The visits of different websites is very competitive and very clearly apparent, one significant substantive resultant from the research of click stream is that the search between the cross-sites are very low. Undeniably, the studies based on the click stream have found the users [...]]]></description>
		<wfw:commentRss>http://www.theecommercesolution.com/blog/2011/08/28/browse-and-search-across-websites/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Patterns of Within-Site Browsing</title>
		<link>http://www.theecommercesolution.com/blog/2011/08/27/patterns-of-within-site-browsing/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/08/27/patterns-of-within-site-browsing/#comments</comments>
		<pubDate>Sat, 27 Aug 2011 03:53:53 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[Click stream data]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=615</guid>
		<description><![CDATA[Moe (2003) divided the pages of the website into different category such as home page of the website, information regarding the product and item, and purchasing items etc. She further develop user-specification pattern in using the website metrics for example, how many pages view in terms of numbers, every page average time and also conduct a analysis of cluster. She define different strategies in defining the such clusters approach, such as, direct purchasing of items, only search for the items, browsers hedonics and building of knowledge. This cluster approach accounted for fifteen, fourteen, sixty six and five percentage of visiting websites, correspondingly. All the plans of this cluster are connected with different type of user’s patterns of navigation on the websites. Such as, consumers in the direct purchasing cluster were more likely to made purchases while other consumer in the building of knowledge cluster were least likely. Montgomery et al. (2004) also conducts the study on the behaviour of browsing pattern and focus on the model. In their model he examined the click stream data of user-centric from the Metrix of Media. As Moe (2003), he also divided the websites contents and features into different categories. For example, they divided [...]]]></description>
		<wfw:commentRss>http://www.theecommercesolution.com/blog/2011/08/27/patterns-of-within-site-browsing/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
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		<item>
		<title>The benefits of internet Browsing and Navigation</title>
		<link>http://www.theecommercesolution.com/blog/2011/08/25/the-benefits-of-internet-browsing-and-navigation/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/08/25/the-benefits-of-internet-browsing-and-navigation/#comments</comments>
		<pubDate>Thu, 25 Aug 2011 06:53:13 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[benefits of internet Browsing]]></category>
		<category><![CDATA[Data of Click stream]]></category>
		<category><![CDATA[internet Browsing]]></category>
		<category><![CDATA[internet Browsing benifits]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=609</guid>
		<description><![CDATA[The system and data of click stream is very helpful in navigating the websites and the browsing within the different websites and within the same website. The level of response is change and transform as the structure the website is changed, which website have good design, there is more chance to increasing the chance of click stream. In this research study, we mainly focus on such kind of features present in the consumer of the internet marketer, for example we find the study of browsing within same websites, designing of websites character tics and the learning solution provider websites. The study of Huberman et al (1998) published the study which analyzed of such click streaming and also checking the behavioral changes in the browsing of different websites. This researcher proposed the representation of inverse Gaussian in which the distribution of requested page across different website visitors. The cost of new pages increased as the request of extra pages views increased from the user sides. The proposed distributions showed the researcher in his study in which he examined that the much of different websites in click streaming medium across the internet markets, can be useful in examining the visitors through which [...]]]></description>
		<wfw:commentRss>http://www.theecommercesolution.com/blog/2011/08/25/the-benefits-of-internet-browsing-and-navigation/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>New Data for New Problems</title>
		<link>http://www.theecommercesolution.com/blog/2011/08/15/new-data-for-new-problems/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/08/15/new-data-for-new-problems/#comments</comments>
		<pubDate>Mon, 15 Aug 2011 09:15:14 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[Data of Click stream]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=603</guid>
		<description><![CDATA[The data of click stream is very essential because it has great impact on the new issues and problems come from the internet. These new problems have new kinds of opportunities to learn the issues and problems, which are still present on the internet marketing sites. Sometime we learn from the old problems, which are also very essential to show the role and activities of the issues. Different kinds of problems have different type of targets to sets the issues. For instance, the internet marketing sites give fast response in real time, after observing and judging the behaviour of individual customers. The latest information and data can present in ads of banners in dynamic form as specified users like this kind of data. It is actually the data of click stream which gives the full information to the customers. These peaces of information are also helpful in required actions interaction of consumers. Such as, the products of online markets are based on the mutual filters which are potential is nature because the data of click stream is unremarkably and straight away gathered and processed for the website while the user of the internet market navigate the different items and products [...]]]></description>
		<wfw:commentRss>http://www.theecommercesolution.com/blog/2011/08/15/new-data-for-new-problems/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>New Data for Old Problems</title>
		<link>http://www.theecommercesolution.com/blog/2011/08/14/new-data-for-old-problems/</link>
		<comments>http://www.theecommercesolution.com/blog/2011/08/14/new-data-for-old-problems/#comments</comments>
		<pubDate>Sun, 14 Aug 2011 14:48:27 +0000</pubDate>
		<dc:creator>SEO Expert</dc:creator>
				<category><![CDATA[SEO]]></category>
		<category><![CDATA[Data of Click stream]]></category>

		<guid isPermaLink="false">http://www.theecommercesolution.com/blog/?p=596</guid>
		<description><![CDATA[The old problems are sill present in the new data of the datasets of the internet market. The data of Click stream now authorize the well-known study of phenomena which is infeasible, very costly and very difficult in process of utilization. Such benefits are not specified to the world of internet community, but it have bigger context. (Johnson &#38; Mick 2001). For example, the common site of commercial purpose considers and compares the business of telesales and the catalogue. The common and traditional business provides the benefits to the sites of e-commerce such as in the removing process of the requirement of physical nearness and also faced the problems the businesses of e-commerce faced are tackled such as in the process of demandable amount of important data, different useful message for the commercial purposes and the selected audience. The behavior and activities of the customers show the detailed data about the useful information about the user data and sets of formation consideration. (Wu &#38; Rangaswamy 2003). In the end result, the surety data of click stream at high-quality has permissible to the researchers that can possibly helps in the business of traditional purposes. The data of click stream also offers [...]]]></description>
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