Real-time bidding is a fundamental shift in the online advertising optimization because allows advertisers to increasing the value of ad impressions by targeting users dynamically and  reach the right user at the right place and  time.

Understanding Real-Time Bidding (RTB) From The Publisher Perspective

Real-Time Bidding, or RTB, is sure to be one of the most frequently used online advertising buzzwords of 2010. Many advertising experts have argued that it is going to fundamentally change the course of online advertising as we know it. It has even been referred to as the next revolution in advertising for the benefits it will provide to all players in the ecosystem – the publisher, the user, and the advertiser.

Real-Time Bidding allows advertisers to reach the right user, in the right place, at the right time – and assign an individual value to a particular ad impression. Leveraging advanced technology offered by a relatively small but quickly growing number of companies, advertisers place bids on reaching specific users dynamically, and on an impression-by-impression basis.

PubMatic has found that publishers monetizing ad inventory via RTB can receive an increased eCPM because of the improved campaign performance that RTB offers. In the case of one particular US Entertainment publisher, the publisher was able to achieve a 106% increase in eCPM over a six-month period.

Along with the clear benefits of RTB, publishers must be cognizant of the potential pitfalls associated with this emerging media buying trend. RTB was originally conceived as an advertiser-focused solution, and publishers must take multiple issues into account in order to make their businesses successful in an RTB-enabled world.

PubMatic estimates that less than 1% of online advertising was purchased via RTB in 2009, and that will grow to 3-5% in 2010. Because RTB is the fastest growing segment of US online advertising, it is imperative that publishers understand the RTB landscape and how to successfully harness RTB ad dollars to their benefit.

Unlocking The True Value of The Impression

The most important promise that RTB holds for publishers is increasing the value of ad impressions. With RTB, advertisers have the greatest level of transparency available on the individual user in real-time, which can significantly increase the value of each ad impression and the corresponding publisher CPM.

Having greater transparency about the user in real-time provides great insight to advertisers, but it is the difference in how media is bought and sold with Real-Time Bidding that is the true game changer.

Currently, most digital media buying is done based on assumptions about certain audiences. For example, audiences bought through ad networks and ad exchanges are often purchased in buckets or by segment. How the audiences are categorized in certain segments depends on who is selling them. And while some audience sellers do a better job of segmenting users than others, so long as individual impressions are being grouped into a bucket and sold at a pre-negotiated price, they are not being fairly valued and are often sold at under-valued prices, as shown.

In Example 1, a luxury car advertiser is looking for a very specific audience type and is willing to pay a premium price to reach a specific user that is highly qualified. The more qualified the use, the more the advertiser is willing to pay.

On the right side of the example below, the advertiser (or rather the technology company placing bids on behalf of the advertiser) can see unique characteristics about the user and therefore is willing to pay a $3.90 CPM to target that user.

On the left hand side, the same user would have been bucketed into an auto-buying segment and priced according to the segment price,which is far lower than what was paid via RTB for the individual.

Example 2 below shows the ongoing luxury car ad campaign on a larger scale. Because RTB is conducted in real-time, advertisers,or their proxy vendor that facilitates their media buying, can buy impressions to reach specific users or reject them as the campaign is in progress.

Therefore, in a real-time situation the luxury car advertiser would likely choose to reach many of the same users that would have been segmented for them as auto buyers in a pre-negotiated bucket buy.

However, having more information about each individual user, the advertiser would also likely want to reach users that did not fall into the pre-defined auto buyer segment while also rejecting some of the impressions that would have made it into the segment.

More importantly, the pricing would be different based on the unique characteristics of each user as opposed to an average across the segment.

The Ecosystem Benefits of RTB

In the long run, advertisers that have better performing campaigns can pay more to target the right users. According to Turn, a company that facilitates RTB transactions for advertisers by leveraging inventory from sell-side platforms such as PubMatic, advertisers are seeing up to 135% improvement on click-through rates and 150% improvement on conversion rates.

Better performing campaigns have a positive impact on all parties involved, not just for the advertiser. In the image above are a few key benefits that RTB brings to the publisher, the user, and the advertiser.

Understanding The RTB Ecosystem

Real-Time Bidding is very much still in its infancy, but the number of companies that help advertisers and publishers leverage RTB is growing rapidly.

In 2008, the number of companies talking about RTB could be counted on one hand. In 2009, the number of companies involved in real time bidding increased dramatically, but each category in the RTB ecosystem plays a significant role and it is important for publishers to understand those roles.

Digital video advertising was born almost a decade ago after several seminal events, but many agree it was the sale of Mark Cuban’s and Todd Wagner’s Broadcast.com to Yahoo in 1998 for the sum of $5.7 billion that put digital video on the map.

During the early 2000s, as the Internet valuation bubble burst and the interactive industry regrouped, digital video progressed slowly. As the interactive industry rebuilt, leaders such as Microsoft’s Windows Media Player, Yahoo’s Launch, The FeedRoom, and MSNBC’s video content inched the industry forward by selling “test” programs to blue-chip advertisers who wanted to learn about the medium and gain insight. CPMs tended to run on the high-end of the TV-CPM range and inventory was limited.

At this point, many believed that the future of digital video content lay in a subscription,
rather than an ad-supported, business model.

Image Credit: battletopsman

In 2005 however, growth began to accelerate quickly. An explosion of companies from networks to content providers made both premium and user generated video content available as new revenue streams. Widespread adoption of high-speed internet connections and improvements in video.

Two events served to focus the advertising world on digital video’s bright future.

• 1. First, were upfronts by major media agencies such as Starcom and Mediavest. These were the first broadband upfronts in the history of advertising and the move proved to be transformational, positioning Starcom Mediavest as a leader in video advertising. Clients like Procter & Gamble, McDonald’s, Kellogg’s and Coca-Cola allocated millions of dollars for digital video and immediately focused media buyers across the industry on the value of premium online content.
• 2. The second transformational event occurred in 2006 with the sale of YouTube to Google. For a $1.65 billion purchase price, digital video was back on the front pages of every newspaper around the world.

Unlike 1998, however, advertisers, agencies, and publishers now had experience with online display and search advertising and were ready to expand their budgets to include digital video.

Meanwhile traditional television marketers easily understood the power of digital video’s sight, sound, and motion and began to take interest in online’s video advertising capabilities.

According to eMarketer, digital video grew to a $775 million segment in 2007 and the same source predicts rapid growth by 2011 with $4.5 billion in online video ad spending.

Video Advertising Operating Ecosystem

The operating ecosystem for video advertising can be complex and contains various entities, all of which play a different but vital role in the development, production and distribution of video advertising. These include:

• Web Sites and portals,
• Ad agencies,
• Networks,
• Measurement,
• Auditing,
• Research firms,
• Ad serving technology and service vendors,
• Video technology providers,
• ……and more.

In an environment as fluid as the Internet, these roles are sometimes blurred and can be confusing. The following table lists the key video operating ecosystem entities along with a description of their functions:

Content Experiences

With tens of millions of videos available online today and millions being added each month, consumers can view videos never before accessible through traditional mediums like television.

Consumers can effortlessly go from watching a professionally produced television show to a 10-second clip of a friend describing their first year away at college. Although this universe of content is broad and varied, the disparity of video content can be classified into three main areas:

• Premier programming: gives users professionally produced content, generally, re-purposed from broadcast video and cable networks. There is a large amount of professionally produced video that has not been digitized but is quickly working its way online.
• Professionally-generated specialty programming: video content professionally but generally created for a specific subset of online video consumers. Whether it is original content for the web or content from traditional media like local news or community events, consumers are searching for and consuming video content relevant to their micro interests.
• User-generated video: consists of clips created and uploaded by everyday people and make up the largest volume of videos available online. Generally, the majority of these clips are watched by a small group of users but due to viral word-of-mouth messaging some become extremely popular and are viewed by millions.

While these categories may vary in production quality, time length, and resolution, consumers are drawn to each category for different reasons and a variety of video ad products have been developed to best fit each of these different experiences. See the video ad product compendium section below for more information.

Video Ad Product Compendium

In May 2006, the IAB broadband committee (now the digital video committee) defined a video ad as a commercial that may appear before, during, or after a variety of content including streaming video, animation, gaming, and music video content in a player environment.

This definition included “broadband video commercials” that appeared in live, archived, and downloadable streaming content.

Since 2006, both the experiences and consumption of video content has evolved significantly. While the 2006 definition of a video commercial is still relevant today, newer video ad formats have been introduced to compliment these emerging types of video experiences and environments.

Through 2007 and into 2008, the most common digital video ad experiences were either viewed within or around “in-stream video”, “in-banner” or “in-text” formats.

• In-stream video is generally played or viewed from a video player like a client browser.
• In-banner video is generally displayed in IAB Universal Ad Package (UAP) banners.
• In-text video is generally user-initiated and triggered by relevant highlighted words within content.

Due to the fact that in-banner video advertising and in-text is generally tracked and operationally supported as a rich media advertisement, the major focus of this document will be on in-stream video advertising.

While these three video ad types currently make up the majority of video ad inventory, there are other available methods of triggering a video ad experience, including brand integration like sponsorships and branded content.

Another area of innovation in video advertising is to advertise entirely outside of the video all together, or within the perimeter of the video, leaving the video stream ad-free – this practice is generally referred to as an advertising “skin”.

• In-text video advertising is similar in that it does not require video content to deliver a video ad.
• In-text video highlights words and phrases within the text of web content and links the word to a relevant video advertisement. See example 3 in the video examples section below.

In-Stream Video Advertising

There are two core video ad product categories in today’s in-stream ad experiences. These are, “linear video” ads and “non-linear video” ads:

Linear video ad: is presented before, in the middle of, or after the video content is consumed by the user, in very much the same way a TV commercial can play before, during or after the chosen program.

One of the key characteristics of a linear video ad is that the user watch the ad instead of the content as the ad takes over the full view of the video.

Examples of linear video ads include:

• A traditional repurposed 15 or 30 second TV ad
• A purpose-built digital video ad product with interactivity inherent within the core video product experience
• A full screen display ad or bumper ad viewed within a video player

Because a user cannot experience the intended video content during a linear video ad impression, the ads are either placed before the content (also referred to as pre-rolls), between the content, or after the content.

Note: the term “pre-roll” is also regularly referred to as a 15 or 30 second spot, but in this document “pre-roll” is used consistently as a description for the placement of the ad which is preempting the start of the video.

Both linear and non-linear video ad products have the option of being paired with what is commonly referred to as a “companion ad”.

• Companion ads: commonly text, display ads, rich media, or skins that wrap around the video experience, can run alongside either or both the video or ad content.The primary purpose of the companion ad product is to offer sustained visibility of the sponsor throughout the video content experience.  Companion ads may offer click-through interactivity and rich media experiences such as expansion of the ad for further engagement opportunities.

The video ad products that publishers and vendors sell to media buyers are generally a combination of linear, non-linear and companion ad products packaged together in a compelling way.

Popular combinations of in-stream ad formats include:

• Linear ads (A) + Companion ads (C)
• Non-linear ads (B) + Companion ads (C)

In-Stream Video Examples

1. In-Stream Video Ad Example

In MSN’s video player example to the right, a linear video ad plays before the video content and is accompanied by a clickable, expanding 300 x 250 display companion ad product.

2. In-Stream Video Ad With Skin

In this example by heavy, a 1020(w) x 620(h) ad unit surrounds a video for the duration of the program and actually becomes part of the viewing experience.

3. In-Text Video Ad Example

Vibrant media’s screenshot to the right shows a user mousing over a relevant word which triggers a relevant video advertisement.

4. In-Stream Video Ad Overlay

This screenshot depicts a non-linear overlay ad product in an original show. The advertiser is McDonald’s in a broadband enterprises production “The fantastic two”

5. In-Stream Video Ad Overlay

In this screenshot, Yahoo! offers a non-linear overlay that is triggered by the user mousing over the video advertisement content. This overlay communicates a call to action to the user.

6. In-Stream Video Ad Overlay

This screenshot illustrates a non-linear overlay ad format with an accompanying companion ad to the right of the video.

Metrics

The core metric used for currency in digital video advertising is a “digital video ad impression“, also referred to as a broadband video commercial impression as described in the IAB’s broadband video commercial measurement guidelines released May 2006.

In 2006, the IAB’s broadband committee and measurement task force developed a set of broadband video commercial measurement guidelines.

Specifically, these guidelines determined at what point a video commercial is counted by defining a video ad as a commercial that may appear before, during, and after a variety of content including streaming video, animation, gaming, and music video content in a player environment.

The key point to this guideline is that the video impression is measured at the latest point possible in the delivery of the ad creative to the user’s browser, which is the closest opportunity to see by the user.

The 2006 measurement guidelines are still the basis for the currency of video buys in 2008, specific to in-stream, linear and most non-linear video ad products.

In the future as the IAB embraces new non-linear ad formats into the mix of standardized video ad products, careful attention will be paid to determining the proper currency metrics for these new formats where appropriate.

Other non-currency measurement metrics exist today but because of the amount of innovation in the medium, none have become standard.

General Business Overview of Video Advertising

The buyers of digital video advertising include the interactive and traditional ad agencies and extend to major marketers, long-tail marketers and resellers. For the most part, digital video advertising buying mirrors other media buying behaviors.

Today, most buying of digital video is being done by interactive agencies on behalf of the major marketers. Traditional agencies and buyers of traditional media have lagged thus far, but are entering the marketplace. Progress at agencies where digital buyers are working closely with traditional buyers presents a powerful model for the future.

The sellers of digital video advertising range from the largest portals and media companies to the most specialized user-generated content sites on the web.

The major online portals and broadcast media companies comprise the bulk of the video traffic and all have made strategic moves in both the content and technology space to insure their leadership positions.

The smaller content sites generally use both direct sales and/or network sales strategies to fulfill their inventory needs. To take advantage of incremental video advertising revenue many websites are now choosing to deploy in-text video advertising within their content pages.

Current pricing practices in digital video suggest that the medium is quickly maturing.

CPM-based pricing is the predominant model for buyers, particularly the In-Stream, Linear Ad format (pre-rolls, post-rolls, etc).

CPMs can span a wide range and are based on a number of factors including the quality of the site’s content and users, targeting capabilities, and individual programming.

The CPA and CPC models are also available and are the predominant measures for in-text video advertising.

These buying models are helping to bring large, direct marketing advertisers into digital video and long-tail marketers or “mom and pop shops” that have not had a place in the medium in the past.

Many brand-based advertisers believe the CPA and CPC models lend accountability to brand-based advertising where other media have traditionally struggled.

Current Industry Challenges

There are many components of digital video advertising that have yet to be standardized, including creative units and new metrics.

While the video industry is still relatively young, the IAB digital video committee recognizes the importance of simplifying the buying and selling process as an impetus for further long-term growth. The following have been identified by the digital video committee as current key challenges:

Article written by the Internet Advertising Bureau Digital Video Committee for IAB.

Source: A Digital Video Advertising Overview

About the author

The IAB digital video committee has the purpose to creating and implementing a comprehensive set of guidelines, measurement, and creative options for interactive video advertising. Additionally, the committee will educate markets and agencies on the strength of broadband as a marketing vehicle.

Frequency capping has long been used as a method for helping advertisers to improve the performance and reach of their online advertising campaigns.

In short, frequency capping allows the advertiser to limit the number of times a user sees a specific ad, resulting in increased return to the advertiser for every dollar spent.

While the benefits of frequency capping for advertisers are clear, frequency capping can result in significant challenges for publishers.

In particular, for advertising campaigns run by ad networks on a publisher’s web site, frequency capping can result in significant revenue loss for publishers.

Publishers have very limited insight into ad network pricing and are unable to determine how to allocate inventory to ad networks based on particular frequencies.

This white paper describes current trends in online advertising, the challenges publishers face with respect to managing their ad inventory, the components of a solution that take into account the relationship between frequency and eCPM in ad serving decisions, and PubMatic’s frequency revenue optimization solution.

Market Trends Are Expediting a Shift To Performance Advertising

Marketers’ success metrics are defined by the advertiser or media agency, and vary with respect to how they are measured. However, today’s economic climate has created a need for advertisers to demand more campaign accountability with less monetary investment, or greater ROI.

This has helped to expedite an already growing trend: advertisers are moving away from pure branding campaigns where the success metrics can be very subjective, and more towards performance based campaigns where success metrics are more clearly defined.

Economics are not the only reason why performance based advertising is a quickly growing trend; technological advancements have made it possible for advertisers to closely monitor and measure a more granular level of performance metrics of an advertising campaign.

Advertisers are taking advantage of these technology advancements to get better control over where, when, and to whom their ads are being displayed.

Traditional Role of Frequency In Online Advertising

One of the ways that advertisers are achieving enhanced performance from their online advertising campaigns is through the use of  frequency capping.

The term “frequency capping” refers to restricting (capping) the amount of times (frequency) a specific visitor is shown a particular advertisement within a period of time.

For example, a frequency cap of “3 per 24” for an ad means that after exposing the user to the same ad 3 times, the visitor will not be shown that ad for 24 hours.

Some of the key benefits of frequency capping are:

• Increased reach – frequency capping is an efficient way to increase reach by expanding the number of unique users that see the ad. Rather than using a marketer’s scarce budget to show the same ad to a small number of users over and over again, frequency capping can be used to ensure that a wider audience is exposed to the marketer’s message.
• Increased CTR – frequency is used as one of the key drivers to improve advertising campaign performance.  Click Through Rates (CTR) have been shown to drop precipitously after the first exposure and to plateau at four because of “ad blindness“, wherein the user becomes so used to seeing the ad that the user essentially becomes blind to that ad.
• Improved conversation rates – similar to CTR, the conversion rates also are highest on the first impression and typically diminish after 4 – 6 impressions.

Decoding The Frequency – eCPM Relationship With Ad Networks

Ad networks generally have multiple campaigns running at any given time, and those campaigns have different frequency cap, pricing and other characteristics, as specified by the advertiser.

Based on the success metrics defined by the advertiser and expected performance of the campaigns, ad networks value the first impression a user sees more than their second impression, and so forth.

Ad networks then allocate the highest paying campaigns to the first user impression, followed by the next highest paying ad campaign and so on.

While ad networks have their campaign delivery structured in a way that will maximize their performance metrics, the ad networks’ data is not made transparent to the publisher in a way that allows the publisher to maximize their revenue.

Without access to ad network pricing, it impossible for publishers to allocate their inventory in the best way possible. As a result, publishers require a solution that gives them insight into ad network pricing so that publishers can maximize the value of each impression shown on their web sites.

In order for publishers to maximize revenue on every impression, there first needs to be a method to predict where the most valuable impressions are coming from, and when.

The best method for achieving this is collecting historical data in order to find the relationship between frequency and eCPMs, and then creating a frequency eCPM curve.

A frequency eCPM curve is created by averaging eCPM data across thousands or millions of users on a site. Such a curve reflects the average eCPM that can be expected at different user frequencies from a particular ad network.

Optimal Impression Allocation Based On Ad Networks Frequency eCPM Curves

Given these frequency eCPM curves it is evident that in order to maximize the revenue for the publisher, an optimal impression allocation strategy across all of its ad networks can be set up as shown in the graph below.

For example, instead of giving all impressions to Ad Network -1 first, the publisher would allocate the first impression to Ad Network -1, the second impression to Ad Network -2, and the third impression to Ad Network -1 again and so forth as is detailed in the table below.

Implementing Optimal Frequency-Based Decision Making: Frequency Revenue Optimization

The data that is collected and applied to the frequency eCPM curve can be used for predictive modeling. However, leveraging this data to maximize the revenue of every single impression requires real-time decision making, and that is impossible to do without the assistance of advanced technology.

Understanding this, PubMatic has developed a propriety solution called frequency revenue optimization.

How frequency revenue optimization works:

Frequency eCPM curve predictions – By observing the frequency impression distribution, default impression distribution, and eCPM trends from an ad network on a continuous basis, an overall frequency eCPM curve for each ad network can be predicted.

Dynamic impressions allocation to ad networks using Frequency eCPM curves – Each impression can then be optimally allocated to the ad network with the highest expected frequency eCPM, maximizing overall revenue.

Benefits To Implementing Frequency Revenue Optimization

Increased revenue for publishers – by intelligently allocating ad impressions across a mix of ad networks, based on the frequency – eCPM relationship, publishers can generate significantly higher revenue for each ad impression.

Reduced number of defaults – default rates for ad networks can be reduced significantly by allocating impressions to the best monetization opportunity. This results in reduced ad serving costs for publishers and ad networks as well as a better user experience because of faster web page load times.

Better user experience – frequency revenue optimization improves the user experience significantly by showing different and more relevant ads to a user during a web session. This is reflected in higher CTR rates on ads.

Higher quality traffic to ad networks – ad networks win with frequency revenue optimization because the web sites in their network perform better. The reduction in ad blindness and higher click-through rates translate into better performance for advertisers.

Examples of Publishers That Have Used Frequency Revenue Optimization

Benefits derived from frequency revenue optimization vary from site to site. There are several examples of publishers of varying sizes and verticals that have enjoyed demonstrated success with PubMatic’s Dynamic Default Optimization.

Conclusion

The major challenge presented to publishers with frequency capped campaigns is allocating inventory to ad networks in a way that will maximize publisher revenue. What makes this a challenge is the lack of transparency from ad networks about pricing, which makes it impossible for publishers to allocate their inventory in the best way possible. As a result, publishers leave substantial money on the table.

About the author

Founded in 2006, PubMatic is an ad revenue optimization service that helps web site publishers run the highest paying ads from top ad networks.

Frequency revenue optimization is a solution that PubMatic has developed as a way to give publishers the insight they need in order to implement an optimal inventory allocation strategy for frequency capped campaigns.

Over the last 8 months, PubMatic has developed a proprietary frequency revenue optimization solution that maps the relationship between frequency and eCPM for a particular ad network and optimizes ad serving decisions in real time.

This solution has been deployed to over 100 large publisher web sites, resulting in the following benefits for publishers:

• Up to 35% increase in eCPM
• 50% to 210% increase in CTR (click-through rate)
• 10% to 50% decrease in ad network defaults (ad requests for which the ad network has no ad to show)

In addition to the significant publisher benefits, frequency revenue optimization has also increased the flow of desired traffic to ad networks, reduced their ad serving costs by decreasing their default rates, and enhanced the end user experience by loading more relevant ads faster.

To date, over 100 premier publishers have successfully leveraged this solution to increase their revenue.

Just a year ago I put adToll Peel Away ad to one of my blog. I’ve included it at the right corner, and add a small animated image(about 50×50 pixels) that once overed with the mouse it reveal much larger image.

Well, over the past few months, I’ve paid attention to my AdToll Peel Away stat. I always throught, just as you need to track the traffic coming in and out of your website, it important to track the performance of your banners. So, I did it.

Image credit: Munilfari

The result is: Sorry Adtoll, but I was disappointed by the Adtoll Peel Away ad performance. Now, I’m not saying that this is totally bad, but recently there was some thing that did not work it well.

Here, are three reasons why AdToll Pell Away Ad worked bad on my blog.

1. New owners – AdToll company was sold and managed by new owners, I think publishers has ended up to lose by that change.
2. Stats wrong – The first thing I noticed, was that stats are inaccurate and wrong and  while old owners had It fixed within a day, max two, their seem have abandoned the site totally.
3. Can’t Edit Pre-Peel Image - The pre-peel flash image is the most important thing on a peel away ads, better than the 500×500 mouseover image, but AdToll doesn’t let you edit it.

Goodbye AdToll Peel Away Ad, Welcome Peel Away Ad

However, i removed it from my blog because it doesn’t meet my requirements of software for make money online, thus I replaced with the Peel Away Ad as that you see here. This is one of the coolest ad units yet. The pre-peel flash image is customizable, and personalized support is included with your purchase. Also, you have 8 Week 100% Satisfaction Money Back Guarantee”

I already running Peel Away ads in other my sites and for only $17, has made more than my money back from it in less than a week.

I expect to see this type of advertising become more common in the future. You can get high click rates, then you can use the script to promote your own affiliate program.

I’ve personally used both  Adtoll Peel away ads and Pell away ads, and I have only had a real succes with the second script, so I  wrote this article for those are thinking of adding it at their blog.

Make Money Online With Peel Away Ad .

I always stated, one of the few ways to make money quickly through an existing blog without making too work, such as creating products like e-books or providing services like search engine optimization is certainly the direct advertisers.

In my view, text ads are crowded, banner ads are invisible, thus before you go spending your money for a product who promises to make you rich … let me tell you a little about Corner Stay Ads for those who are unfamiliar with this product.

What Is Corner Stay Ads?

Corner Stay Ads is a piece of script that create a pop up image at the corner of any page(look image below) and the ad is revealed when you move the mouse over.

The guys who created Peel Away Ads, Harris Fellman and Richard Osterude, after released version 3 of the Peel Away Ads,they have come up with a new type of   script that you can use on any your website.

According to the creator of Peel Away Ad, the ad is unobtrusive and super effective because it makes people want to see what’s hiding behind it.

As I said before, once you move your cursor over the graphic a small window pops up next to the graphic. In my view  Corner Stay Ads is a little more complete than Peel Away Ads, as it  you can put any thing you want here and use any graphic you like.

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Example 1

Example 2

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• Supports 100% of online browsers
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We could probably add a lot more to this list, but is enough to know the potential of this script.

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• The Corner Stay Ads™ Script for you to use in as many sites you wish.
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What’s Your Opinion Of Corner Stay Ads?

Corner Stay Ads can be a new good way to attract the customer’s attention. I can say this, because yesterday I bought a copy and I’m using in one of my site. Since putting it up an hour ago, I’ve already received five new sign ups. So, we might expect a lot from Corner Stay Ads, right?

I would also like to hear from you, about your experience with these type of programs. Please, feel free to leave any comments.

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