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AdWords

AdWords is Google’s branded text-based pay-per-click (PPC) advertising service.

Google’s advertisements are short, consisting of one title line and two content text lines. Advertisers specify the words that should trigger their ads and the maximum amount they are willing to pay per click. When a user searches Google’s search engine on www.google.com, ads for relevant words are shown as “sponsored link” on the right side of the screen, and sometimes above the main search results. The ordering of the paid listings depends on other advertisers’ bids (thus the system is classified as P4P) and the historical click-through rates of all ads shown for a given search.

All AdWords ads are eligible to be shown on www.google.com. Advertisers also have the option of enabling their ads to show on Google’s partner networks. The “search network” includes AOL search, Ask.com, and Netscape. Like www.google.com, these search engines show AdWords ads in response to user searches.

The “content network” shows AdWords ads on sites that are not search engines. Google automatically determines the subject of the pages and displays ads for which the advertiser has specified an interest in that subject. The ads show in boxes resembling banner ads, with the designation “Ads By Gooooooooooogle.” These content network sites are those that use AdSense, the other side of the Google advertising model.

AdWords is used by publishers who wish to bring traffic to their websites. The biggest competitors are Yahoo! Search Marketing (formerly Overture) and MSN’s soon-to-be-launched adCenter.

Most of Google’s revenue comes from AdWords.

Legal context

The service has generated lawsuits in the area of trademark law and click fraud. [1]

Interacting with Adwords

The ads are displayed on the right hand side of the natural search results. The ads are pure text, and thus difficult to block. However, on external sites, they are hosted within an IFRAME (an HTML element), making them easy to remove with advertisement blockers.

Technology

The AdWords system was initially implemented on top of the MySQL database engine. After the system had been launched, management decided to use a commercial database (Oracle) instead. As is typical of applications simultaneously written and tuned for one database, and ported to another, the system became much slower, so eventually it was returned to MySQL ([2])

Links

This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

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  • Filed under: Ad serving
  • Link farm

    On the World Wide Web, a link farm is any group of web pages that all hyperlink to every other page in the group. Although some link farms can be created by hand, most are created through automated programs and services. A link farm is a form of spamming the index of a search engine (sometimes called spamdexing).

    History

    Link farms were developed by search engine optimizers in 1999 to take advantage of the Inktomi search engine’s dependence upon link popularity. Although link popularity is used by some search engines to help establish a ranking order for search results, the Inktomi engine at the time maintained two indexes. Search results were produced from the primary index which was limited to approximately 100,000,000 listings. Pages with few inbound links continually fell out of the Inktomi index on a monthly basis.

    Inktomi was targeted for manipulation through link farms because it was then used by several independent but popular search engines, such as HotBot. Yahoo!, then the most popular search service, also used Inktomi results to supplement its directory search feature. The link farms helped stabilize listings for (normally) online business Web sites that had few natural links from larger more stable sites in the Inktomi index.

    Link farm exchanges were at first handled on an informal basis, but several service companies were founded to provide automated registration, categorization, and link page updates to member Web sites.

    When the Google search engine became popular, search engine optimizers learned that Google’s ranking algorithm depended in part on a link weighting scheme called PageRank. Rather than simply count all inbound links equally, the PageRank algorithm determines that some links may be more valuable than others, and therefore assigns them more weight than others. Link farming was adapted to help increase the PageRank of member pages.

    However, even the link farms became susceptible to manipulation by unscrupulous Webmasters who joined the services, received inbound linkage, and then found ways to hide their outbound links or to avoid posting any links on their sites at all. Link farm managers had to implement quality controls and monitor member compliance with their rules to ensure fairness.

    Alternative link farm products emerged, particularly link-finding software that identified potential reciprocal link partners, sent them template-based emails offering to exchange links, and create directory-like link pages for Web sites hoping to build their link popularity and PageRank.

    Search engines countered the link farm movement by identifying specific attributes associated with link farm pages and filtering those pages from indexing and search results. In some cases, entire domains were removed from the search engine indexes in order to prevent them from influencing search results.

    Justification

    The justification for link farm-influenced crawling diminished proportionately as the search engines expanded their capacities to index more sites. Once the 500,000,000 listing threshold was crossed, link farms became unnecessary for helping sites stay in primary indexes. Inktomi’s technology, now a part of Yahoo!, now indexes billions of Web pages and uses them to offer its search results.

    Where link weighting is still believed by some Webmasters to influence search engine results with Google, Yahoo!, MSN, and Ask (among others), link farms remain a popular tool for increasing PageRank or perceived equivalent values. PageRank-like measurements apply only to the individual pages being linked to (typically the reciprocal linking pages on member sites), so these pages must in turn link out to other pages (such as the main index pages of the member sites) in order for the link weighting to help.

    The expression “link farm” is now considered to be pejorative and derogatory. Many reciprocal link management service operators tout the value of their resource management and direct networking relationship building. The reciprocal link management services promote their industry as an alternative to search engines for finding and attracting visitors to Web sites. Their acceptance is by no means universal but the link management services seem to have established a stable customer base.

    Guidelines

    Google indicates in its Webmaster Guidelines that more than 100 factors are used to determine search results rankings. There is considerable debate in the search engine optimization community regarding the continued value of PageRank. Mike Grehan, a well-known search engine optimization columnist, has publicly quoted engineers from Yahoo! and Ask who say Google never fully implemented their PageRank algorithm.

    Search engines such as Google recommend that webmasters request relevant links to their sites (conduct a link campaign), but avoid participating in link farms. According to Google, a site that participates in a link farm may have its search rankings penalized.

    Search engines try to identify specific attributes associated with link farm pages and filter those pages from indexing and search results. In some cases, entire domains are removed from the search engine indexes in order to prevent them from influencing search results.

    Links

    This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

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  • Filed under: Link campaigns
  • Litigation

    Disputes over the issue have resulted in a number of lawsuits. In one case, Google (acting as both an advertiser and advertising network) won a lawsuit against a Texas company called Auction Experts (acting as a publisher), which Google accused of paying people to click on ads that appeared on Auction Experts’ site, costing advertisers $50,000[1]. Despite networks’ efforts to stop it, publishers are suspicious of the motives of the advertising networks, because the advertising network receives money for each click, even if it is fraudulent.

    Solutions

    Proving click fraud can be very difficult, since it is hard to know who is behind a computer and what their intentions are. Often, the best an advertising network can do is to identify which clicks are most likely fraudulent, and not charge the account of the advertiser. Ever more sophisticated means of detection are used, but none are foolproof.

    The pay-per-click industry is lobbying for tighter laws on the issue. Many hope to have laws that will cover those not bound by contracts.

    A number of companies are developing viable solutions for click fraud identification and are developing intermediary relationships with advertising networks. Such solutions fall into two categories:

    a) Forensic analysis of advertisers’ web server log files

    This analysis of the advertiser’s web server data requires an in-depth look at the source and behavior of the traffic. As industry standard log files are used for the analysis, the data is verifiable by advertising networks.

    b) Third-party corroboration

    Third parties offer web-based solutions that might involve placement of single-pixel images or Javascript on the advertiser’s web pages and suitable tagging of the ads. The visitor may be presented with a cookie. Visitor information is then collected in a third-party data store and made available for download. The better offerings make it easy to highlight suspicious clicks and they show the reasons for such a conclusion. Since an advertiser’s log files can be tampered with, their accompaniment with corroborating data from a third party forms a more convincing body of evidence to present to the advertising network.

    This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

    Yahoo! advertising revenue

    Yahoo_Headquarters

    Yahoo! results and its forecast for current-quarter sales pleased the investors; Yahoo’s shares boost almost 6% in extended trading after the market close. “It was a clean ‘beat’ quarter, you see signs of stabilization, which is very positive.” says Sandeep Aggarwal, an analyst at financial services firm Collins Stewart.

    As Business Week says, Yahoo, in the midst of a sweeping reorganization and rebranding campaign under CEO Carol Bartz since she joined in January, emphasized that the online advertising market is stabilizing.

    In the third quarter, Yahoo earned $186.1 million in net profit, or 13¢ a share. That’s up from 4¢ a year ago. Gross revenue of $1.58 billion was down 12% from a year ago. Net revenue after commissions to advertising partners, a more closely watched metric, was $1.13 billion.

    About 5¢ of the profit came from the sale of Yahoo’s stake in China’s Alibaba, but remaining results were still ahead of forecasts. The company was expected to earn 7¢ a share on gross revenues of $1.52 billion, or $1.12 billion after payments to advertising partners.

    The problem remains the search engine market, Yahoo! continuing to loose ground to Google. Yahoo said it expects gross revenues of $1.6 billion to $1.7 billion in the fourth quarter. Operating income before depreciation, amortization, and stock-option costs is expected to be between $400 million and $450 million. Both of those are somewhat higher than Wall Street forecasts.

    Link exchange

    internet

    Link Exchange (“Reciprocal Link Exchange”) is the practice of exchanging links with other websites. There are many different ways to arrange a link exchange with webmasters. The simplest way of doing it is to email another website owner and ask to do a link exchange. Also visiting webmaster discussion boards which offer a dedicated link exchange forum where webmasters can request a link exchange be it of a certain category or open to anybody. You place their link on your site, usually on a links page and the other site in return will place a link back to you.

    Link exchange has been a long time practice by website owners since the beginning of the WWW. In the last few years (after year 2000), this practice has gained more popularity as search engines such as Google started favoring sites that had more links in the rankings. This system was very accurate at gauging the importance of a website when it first started, leading to the popularity of Google

    However according to experts, search engines no longer place a heavy emphasis on reciprocal links. Instead the popularity or credibility of your site is now gauged by one way incoming links to your site. How than do you go about building one way back links to your site? There are a number of proven techniques you can follow:

    1. First and foremost your aim should be to link to sites with a similar theme as your site. For example if you site is about “dogs” than it makes sense that back link from another dog or animal related site would be given a heavier weighting that a link from a casino site. You should start by conducting a search with you keywords on the major search engines (MSN, Yahoo, and Google) to come up with a list of sites which appear for that keyword. Next determine the contact info, ideally an e-mail address. Once you have this information, you can simply contact the webmaster (politely) and ask them if they would be willing to link to your site.

    2. Another effective way of increasing your link popularity is to write and submit your articles to sites such as articlecity.com. The importance of this is that when you submit your material there is usually a resource box where you can enter the link information to your site. Every time someone publishes your article, you will have a one way link from their site to yours.

    3. Submit to directories under the appropriate category. Many directories and human edited and therefore a link from a directory can instantly add credibility to your site. A major directory is Dmoz. Since site submissions are human reviewed, expect at least 6-8 weeks for any kind of response.

    4. Submit your URL to link exchange directories where web users such as your self are actively looking to find new relevant link partners. If you search for google.com, ask.com or msn.com for terms: link exchange or link trade you will be able to find some good ones. Here are few that I have found: linkmarket.net, linkexchagned.com and linkpartners.com.

    This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

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  • Filed under: Link campaigns
  • Click frauds in online advertising

    Traffic

    Click fraud occurs in pay per click online advertising when a person, automated script or computer program imitates a legitimate user of a web browser clicking on an ad, for the purpose of generating an improper charge per click. Click fraud is the subject of some controversy and increasing litigation due to the advertising networks being a key beneficiary of the fraud whether they like it or not.

    Use of a computer to commit this type of fraud is a felony in many jurisdictions, for example as covered by Penal code 502 in California and the Computer Misuse Act 1990 in the United Kingdom. There have been arrests relating to click fraud with regard to malicious clicking in order to deplete a competitor’s advertising budget.

    In 2004, a California man created a software program that he claimed could let spammers defraud Google out of millions of dollars in fraudulent clicks. Authorities said he was arrested while trying to blackmail Google for $150,000 to hand over the program.

    Links

    This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

    Algorithms for relevance in SE

    In the simplest case, relevance can be calculated by examining how many times a query term appears in a document (term frequency), possibly combined with how discriminative that query term is across the searched collection (often called Term Frequency-Inverse Document Frequency).

    Since search engines and other businesses rely upon the accuracy of their results, many additional, more complex algorithms have been developed to estimate result relevance. Many of these algorithms, particularly those used by search engines, are hidden to the public, as a user that knows the details of a search algorithm can artificially boost his own content’s ranking.

    Relevance calculation is often misinterpreted by the press. For example, it has often been said that when Google burst onto the scene it was miles ahead of its competitors because it, unlike anyone else, ranked web pages by relevance. This is not true since everyone ranks by relevance. It is just that Google had come up with a fairly new way of estimating relevance, namely PageRank. But even search engines that only use TFIDF rank by relevance.

    This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

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  • Filed under: Relevance
  • AdSense

    Google affiliate

    AdSense is an advertising program run by Google. Website owners can enroll in this program to enable text and image advertisements on their sites. These ads are administered by Google and generate revenue on either a per-click or per-thousand-ads-displayed basis. Google utilizes its search technology to serve ads based on website content, the user’s geographical location, and other factors. Those wanting to advertise with Google’s targeted ad system may sign up through AdWords. AdSense has become a popular method of placing advertising on a website because the ads are less intrusive than most banners, and the content of the ads is often relevant to the website.

    It currently uses JavaScript code to incorporate the advertisements into a participating site. If it is included on a site which has not yet been crawled by the Mediabot, it will temporarily display advertisements for charitable causes known as public service announcements (PSAs). (Note that the Mediabot is a separate crawler from the Googlebot that maintains Google’s search index.)

    Many sites use AdSense to monetize their content and some webmasters work hard to maximize their own AdSense income. They do this in three ways:

    1. They use a wide range of traffic generating techniques including but not limited to online advertising.
    2. They build valuable content on their sites; content which attracts AdSense ads and which pay out the most when they get clicked.
    3. They use copy on their websites that encourage clicks on Ads. Note that Google prohibits people from using phrases like “Click on my AdSense ads” to increase click rates. Phrases accepted are “Sponsored Links” and “Advertisements”.

    The source of all AdSense income is the AdWords program which in turn has a complex pricing model based on a Vickrey second price auction, in that it commands an advertiser to submit a sealed bid (not observable by competitors). Additionally, for any given click received, advertisers only pay one bid increment above the second-highest bid.

    Links

    Organic search engines

    Google was started by two PhD students at Stanford University, Sergey Brin and Larry Page, and brought a new concept to evaluating web pages. This concept, called PageRank, has been from the start important to the Google algorithm [1]. PageRank relies heavily on incoming links and uses the logic that each link to a page is a vote for that page’s value. The more incoming links a page had the more “worthy” it is. The value of each incoming link itself varies directly based on the PageRank of the page it comes from and inversely on the number of outgoing links on that page.

    With help from PageRank, Google proved to be very good at serving relevant results. Google became the most popular and successful search engine. Because PageRank measured an off-site factor, Google felt it would be more difficult to manipulate than on-page factors.

    But manipulated it was. Webmasters had already developed link manipulation tools and schemes to influence the Inktomi search engine. These methods proved to be equally applicable to Google’s algorithm. Many sites focused on exchanging, buying, and selling links on a massive scale. PageRank’s reliance on the link as a vote of confidence in a page’s value was undermined as many webmasters sought to garner links purely to influence Google into sending them more traffic, irrespective of whether the link was useful to human site visitors.

    It was time for Google—and other search engines—to look at a wider range of off-site factors. There were other reasons to develop more intelligent algorithms. The Internet was reaching a vast population of non-technical users who were often unable to use advanced querying techniques to reach the information they were seeking and the sheer volume and complexity of the indexed data was vastly different from that of the early days. Search engines had to develop predictive, semantic, linguistic and heuristic algorithms.

    A proxy for the PageRank metric is still displayed in the Google Toolbar, but PageRank is only one of more than 100 factors that Google considers in ranking pages.

    Today, most search engines keep their methods and ranking algorithms secret. A search engine may use hundreds of factors in ranking the listings on its SERPs; the factors themselves and the weight each carries may change continually.

    Much current SEO thinking on what works and what doesn’t is largely speculation and informed guesses. Some SEOs have carried out controlled experiments to gauge the effects of different approaches to search optimization.

    The following, though, are some of the considerations search engines could be building into their algorithms, and the list of Google patents [2] may give some indication as to what is in the pipeline:

    • Age of site
    • Length of time domain has been registered
    • Age of content
    • Regularity with which new content is added
    • Age of link and reputation of linking site
    • Standard on-site factors
    • Negative scoring for on-site factors (for example, a dampening for sites with extensive keyword meta tags indicative of having being SEO-ed)
    • Uniqueness of content
    • Related terms used in content (the terms the search engine associates as being related to the main content of the page)
    • Google Pagerank (Only used in Google’s algorithm)
    • External links, the anchor text in those external links and in the sites/pages containing those links
    • Citations and research sources (indicating the content is of research quality)
    • Stem-related terms in the search engine’s database (finance/financing)
    • Incoming backlinks and anchor text of incoming backlinks
    • Negative scoring for some incoming backlinks (perhaps those coming from low value pages, reciprocated backlinks, etc.)
    • Rate of acquisition of backlinks: too many too fast could indicate “unnatural” link buying activity
    • Text surrounding outward links and incoming backlinks. A link following the words “Sponsored Links” could be ignored
    • Use of “rel=nofollow” to suggest that the search engine should ignore the link
    • Depth of document in site
    • Metrics collected from other sources, such as monitoring how frequently users hit the back button when SERPs send them to a particular page
    • Metrics collected from sources like the Google Toolbar, Google AdWords/Adsense programs, etc.
    • Metrics collected in data-sharing arrangements with third parties (like providers of statistical programs used to monitor site traffic)
    • Rate of removal of incoming links to the site
    • Use of sub-domains, use of keywords in sub-domains and volume of content on sub-domains… and negative scoring for such activity
    • Semantic connections of hosted documents
    • Rate of document addition or change
    • IP of hosting service and the number/quality of other sites hosted on that IP
    • Other affiliations of linking site with the linked site (do they share an IP? have a common postal address on the “contact us” page?)
    • Technical matters like use of 301 to redirect moved pages, showing a 404 server header rather than a 200 server header for pages that don’t exist, proper use of robots.txt
    • Hosting uptime
    • Whether the site serves different content to different categories of users (cloaking)
    • Broken outgoing links not rectified promptly
    • Unsafe or illegal content
    • Quality of HTML coding, presence of coding errors
    • Actual click through rates observed by the search engines for listings displayed on their SERPs
    • Hand ranking by humans of the most frequently accessed SERPs

    This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

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    Evolution of affiliate marketing

    Amazon at the Affiliate Meet Market Amazon at the Affiliate Meet Market

    Early days

    In the early days of affiliate marketing, there was very little control over what affiliates were doing, which was abused by a large number of affiliates. Affiliates used false advertisements, trademark bidding on search engines, forced clicks to get tracking cookies set on users’ computers, and Adware. Many affiliate programs were poorly managed.

    This changed dramatically over the last few years for multiple reasons. Revenue generated online grew quickly. The e-commerce website, viewed as a marketing toy in the early days of the web, became an integrated part of the overall business plan and in some cases grew to a bigger business than the existing offline business. Many companies hired outside affiliate management companies to manage the affiliate program.

    When Google, the most popular search engine on the Internet, introduced AdWords (pay-per-click advertising pioneered by Goto.com, then Overture.com and now Yahoo! Search Marketing) many Merchants became aware of the issue of trademark bidding by affiliates. The terms of service were quickly modified by most merchants and structures were put in place to monitor affiliate activities.

    Adware

    Adware is still an issue today, but affiliate marketers have taken steps to fight it. Merchants usually had no clue what adware was, what it does and how it was damaging their brand. Affiliate marketers became aware of the issue much quicker, especially because they noticed that adware often overwrites their tracking cookie and results in a decline of commissions. Affiliates who do not use adware became enraged by adware, which they felt was stealing hard earned commission from them. Adware usually has no valuable purpose or provides any useful content to the often unaware user that has the adware running on his computer. Affiliates discussed the issues in various affiliate forums such as ABestWeb and started to get organized. It became obvious that the best way to cut off adware was by discouraging merchants from advertising via adware. Merchants that did not care or even supported adware were made public by affiliates, which damaged the merchants’ reputations and also hurt the merchants’ general affiliate marketing efforts. Many affiliates simply “canned” the merchant or switched to a competitor’s affiliate program. Eventually, affiliate networks were also forced by merchants and affiliates to take a stand and ban adware publishers from their network.

    The new Web

    The rise of blogging, interactive online communities and other new technologies, web sites and services based on the concepts that are now called Web 2.0 have impacted the affiliate marketing world as well. The new media allowed merchants to get closer to their affiliates and improved communication between each other. New portals like Return on Affiliates allow affiliates, merchants, and networks to interconnect easily, on a professional and a personal level.

    New developments have made it harder for unscrupulous affiliates to make money. Emerging black sheep are detected and made known to the affiliate marketing community with much greater speed and efficiency.

    This guide is licensed under the GNU Free Documentation License. It uses material from the Wikipedia.

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