PPC systems and Ad Rank

PPC systems and Ad Rank

PPC systems and Ad Rank are closely related topics because they have been created at the same time. They share most of the principles and serve a common purpose – to attempt to bring more potential customers to a  particular most usually commercially oriented website through paid advertising on other websites, that are just being visited by targeted users. Thanks to a good Ad Rank, sponsored links are shown to users when it is calculated as relevant to be shown. In the case of being clicked on, Pay-per-click system techniques come to play.

PPC Systems
Pay-per-click systems are marketing tools exclusively used for internet advertisement and stand for the idea of advertisers paying every time a user is attracted enough to click on the advertisement link that can be placed on dedicated sections of search engine result page after the user input in a form of specific word or word combination or on any found as appropriate website that shows advertisements of other websites in order to create income for their owner.

Websites showing advertisement content have to be in a partnership with a provider of such services – particular sections of the websites are intentionally created and left blank for filling up with an advertisement that the provider decides to place there. Suggestions of suitable advertisement are based on the algorithms, that are supposed to match a certain advertisement with a certain web content so that a logical link between them is created. In other words, only in some way corresponding websites are paired to arrange as good click-through rate for the advertiser as possible as well as highest possible earnings for the partnered website that provides an advertisement space.

The difference is that advertisements shown on a search engine result page are or should be customized for the query of a user and anticipate him to be more likely attracted as that link might be just the thing that they were looking for, whereas sponsored links on a website are not changed specifically for any of the website visitors and the likelihood of them clicking on such link is not that high - they may not be interested at all. Advertisers pay partly to the owner of a website (in case the advertisements are shown there) and partly to an owner of a PPC system that was used. Search advertisement is one of the most popular kinds of advertisement on the internet.
This form of marketing can be called rather passive, because when the advertisements are well done – highly optimized with thought-through marketing strategy, using relevant only AdWords, made coherently and logically in general - not aggressively or targeting wrong user groups with too generic words – it is possible to then let the users make their decision whether to get interested or not and attract much more visitors to a website with no  extra necessity to try to lure each one of them in a personalized matter. Unfortunately, for advertisers, rules for making the optimal advertisement with high enough chance to work on search engines are changing quite  frequently and it is not easy to keep up with all those updates, slight changes and ferocious competitors who are trying to make most of it.

Google AdWords
Google AdWords is the single most popular PPC advertising system in the world. The AdWords platform enables businesses to create ads that appear on Google’s search engine and other Google properties. AdWords operates on a pay-per-click model, in which users bid on keywords and pay for each click on their advertisements. Every time a search is initiated, Google digs into the pool of AdWords advertisers and chooses a set of
winners to appear in the valuable ad space on its search results page. The “winners” are chosen based on a combination of factors, including the quality and relevance of their keywords and ad campaigns, as well as
the size of their keyword bids.

Ad Rank
This term, in general, is used for the evaluation each advertisement suggestion gets, based on selected features of the advertisement itself, advertiser and success of their campaigns in the past and, of course, the amount that the advertiser is willing to pay in order to get his advertisement reach users. The formula behind the final Ad rank consists of two elements the bid, the maximal sum of finance offered by the advertiser and
- quality score

It will be explained further in the article, but it is a more complex value calculated with consideration of all related aspects of the advertisement the method of calculation depends on the PPC system provider, different
providers measure different aspects is designed to show the calculated benefits of a particular advertisement in advance estimates the chances that the advertisement has to become a popular, often visited and overall interesting landing page (literally the web page that is being landed on after clicking the link leading to it) resulting in more income for all parties involved.

Factors in determining Quality Score
There are a number of factors that determine the Quality Score of a given ad. While each search engine has released directional information on the factors most important to them, presumably in an effort to guide
their advertisers towards making better ads, none has revealed their formulas in detail. Below is a summary of what has been released.
Click-through rate
Ad copy relevance
Landing page quality
Landing page load time
Geographical considerations
Other factors

Google Ad Ranking
Ad position is the order in which your ad shows up on a page. For example, an ad position of "1" means that your ad is a first ad on a page. In general, it's good to have your ad appear higher on a page because it's likely that more customers will see your ad. Ads can appear on the top of a search results page, on the side of the page, or on the bottom of the page.
Ad position is determined by your Ad Rank in the auction. Your Ad Rank is a score that's based on your bid, the components of Quality Score (expected clickthrough rate, ad relevance, and landing page experience), and the expected impact of extensions and other ad formats. If you're using the cost-per-click bidding option, your bid is how much you're willing to pay for a single click on your ad. The quality components of Ad Rank are a measurement of the quality of your ad text and landing page in the context of what a user is searching for.

Quality score factors - Google AdWords
Google AdWords slightly modifies the factors that are being considered when the quality score is being determined.
Past Clickthrough rate (CTR) for certain keywords
A display URL's past CTR
Account history
The quality of a landing page
Keyword/ad relevance
Keyword/search relevance
Geographic performance
An advert's performance on a site
Targeted devices

How the components of Quality Score affect Ad Rank:
Every time someone does a search that triggers an ad that competes in an auction, we calculate an Ad Rank. This calculation incorporates your bid, auction-time measurements of expected CTR, ad relevance, landing page experience, and other factors. To determine the auction-time quality components, we look at a number of different factors. By improving the following factors you can help improve the quality components of your Ad Rank:
Your ad's expected CTR: This is based in part on your ad's historical clicks and impressions (excluding factors such as ad position, extensions, and other formats that may have affected the visibility of an ad that someone previously clicked)
Your display URL's past CTR: The historical clicks and impressions your display URL has received. The quality of your landing page: How relevant, transparent, and easy-to-navigate your page is.
Your ad/search relevance: How relevant your ad text is to what a person searches for.
Geographic performance: How successful your account has been in the regions you're targeting.
Your targeted devices: How well your ads have been performing on different types of devices, like desktops/laptops, mobile devices, and
tablets.

CPC - Cost per click
The specific kind auction system is being applied when bidding on specific keywords and establishing the final price that advertisers are going to pay for displaying their advertisement. As being said previously advertisers offer not the final amount, but the maximal amount they would be willing to pay. In most cases, such amount is not reached, because the calculation counts on several advertisers competing for the same keyword the PPC system provider tries to motivate advertisers to make really relevant advertisements to let the users have the most pleasant experience using their internet services and therefore lowers the prices of shown advertisements with the advertiser improving quality score.

Although the provider earns less per click from the advertiser thanks to the lower pricing, there is then a higher potential of a significantly increased number of users clicking the link. Implementing such strategy makes a lot more sense and theoretically does not cause any harm, on the contrary, it is expected to raise the level of satisfaction of everyone including the user.
The advertiser pays as much as the amount that the advertiser that is placed right below him offered initially. Such amount is divided by the advertiser’s quality score (the higher, the lower resulting price) and 0.01 $ is added at the end to make sure that no advertisement is marketed for free.

Facebook Ad Ranking:
Facebook ranks advertisements using Relevance Scores referring to the general Quality Score. Facebook really tries to prevent such situation that its users become too aware of an advertisement shown specifically for them. It can be caused by either because there has been too much advertisement shown at one point, exceeding the amount of not commercial content or advertisement that has not been relevant at all or is even perceived negatively and cannot serve its purpose – the user will never get interested in clicking the link because the product/service promoted is against their belief and causes unwanted feelings Users can – to a certain extent – hide the advertisement of the same brand when their patience limit is being reached by the unwanted content that is being shown on their Facebook wall.
The Relevance score is calculated based on the positive and negative feedback Facebook expects an ad to receive from its target audience. The more positive the expectations, the higher the Relevance score. The more often people are expected to hide the ad or report it as spam, the lower the score. The Relevance score can be anything between 1 and 10, with 10 being the highest possible score. The score is updated continuously, as people interact with the ad and keep providing feedback.

Relevance Score in detail
It can lower the cost of reaching people. Put simply, the higher an ad’s relevance score is, the less it will cost to be delivered. This is because our ad delivery system is designed to show the right content to the right people, and a high relevance score is seen by the system as a positive signal. Of course, relevance isn’t the only factor our ad delivery system considers. Bid matters too. For instance, if two ads are aimed at the same audience,  there’s no guarantee that the ad with an excellent relevance score and the low bid will beat the ad with a good relevance score and high bid. But, overall, having strong relevance scores will help advertisers see more efficient delivery through our system.
It can help advertisers test ad creative options before running a campaign. Advertisers can test different combinations of image and copy with different audiences, and learn which combinations offer the highest relevance scores.
It can help optimize campaigns already in progress. While ad campaigns are running, advertisers can monitor their relevance scores. If a score begins to dip, it may be an indicator that the ad’s creative or audience needs to be refreshed. As Facebook claims itself, the relevance score is not the only thing that mirrors the ad performance. Advertisement serves to accomplish the set marketing or business goals and it might do that even though the advertisement’s relevance score is not one of the highest. The relevance score is being increased by the user activities that are directly related to the advertisement itself and some of the advertisement may not invoke many of such actions. If users only click on the link and their upcoming actions remain out of the Facebook algorithms scope, the advertisement may just as well be serving perfectly its objective.
Objectives of a marketing may vary from getting the (even negative) attention for any sacrifice required, to using the quickest option of raising awareness by creating a viral advertisement up to simply persuading customers to actually order anything on the advertised website. If the advertiser insists on getting the best quality score possibly, the server Wordstream is providing several tips hot to achieve it: Keyword Research – Discover new, highly relevant keywords to add to your campaigns, including long-tail opportunities that can contribute to the bulk of your overall traffic.
Keyword Organization – Split your keywords into tight, organized groups that can be more effectively tied to individual ad campaigns. Refining Ad Text – Test out PPC ad copy that is more targeted to your individual ad groups. More effective ads get higher CTR, one of the best ways to improve Quality Score. Optimizing Landing Pages – Follow landing page best practices to create pages that connect directly with your ad groups and provide a cohesive experience for visitors, from keyword to conversion. Adding Negative Keywords – Continuously research, identify, and exclude irrelevant search terms that are wasting your budget. Conclusion Advertising campaigns can be incredibly powerful when using all the possibilities that are available for internet marketers. The dream of such advertisement is to target only customers that are very likely to react to such advertisement, bringing them what they desire or need without them even knowing about it. General theory behind such direct targeting should be highly beneficial for customers and highly profitable for advertising companies.
As the algorithms change in very short iterations to get even more effective more quickly than ever before, responding changes in economic systems should start becoming more and more visible – economic indicators of customer utility should increase slowly as well as financial turnovers on the market of e-commerce. It is very important to set the whole system right and just, so that everything works transparently to everyone’s satisfaction and it all depends on the intentions of the biggest companies on the market that have an enormous impact on the whole internet future development course.