Patent Application
20070100689
§ 1.1 Field of the Invention
The present invention concerns advertising, such as online advertising for example. In particular, the present invention concerns enhancing response rates, branding, and/or end user appreciation of online advertisements.
§ 1.2 Background Information
Advertising using traditional media, such as television, radio, newspapers and magazines, is well known. Unfortunately, even when armed with demographic studies and entirely reasonable assumptions about the typical audience of various media outlets, advertisers recognize that much of their ad budget is simply wasted. Moreover, it is very difficult to identify and eliminate such waste.
Recently, advertising over more interactive media has become popular. For example, as the number of people using the Internet has exploded, advertisers have come to appreciate media and services offered over the Internet as a potentially powerful way to advertise.
Interactive advertising provides opportunities for advertisers to target their ads to a receptive audience. That is, targeted ads are more likely to be useful to end users since the ads may be relevant to a need inferred from some user activity (e.g., relevant to a user's search query to a search engine, relevant to content in a document requested by the user, etc.). Query keyword targeting has been used by search engines to deliver relevant ads. For example, the AdWords advertising system by Google Inc. of Mountain View, Calif. (referred to as “Google”), delivers ads targeted to keywords from search queries. Similarly, content targeted ad delivery systems have been proposed. For example, U.S. patent application Ser. No. 10/314,427 (incorporated herein by reference and referred to as “the '427 application”), titled “METHODS AND APPARATUS FOR SERVING RELEVANT ADVERTISEMENTS”, filed on Dec. 6, 2002 and listing Jeffrey A. Dean, Georges R. Harik and Paul Buchheit as inventors; and U.S. patent application Ser. No. 10/375,900 (incorporated by reference and referred to as “the '900 application”), titled “SERVING ADVERTISEMENTS BASED ON CONTENT,” filed on Feb. 26, 2003 and listing Darrell Anderson, Paul Buchheit, Alex Carobus, Claire Cui, Jeffrey A. Dean, Georges R. Harik, Deepak Jindal and Narayanan Shivakumar as inventors, describe methods and apparatus for serving ads relevant to the content of a document, such as a Web page for example. Content targeted ad delivery systems, such as the AdSense advertising system by Google for example, have been used to serve ads on Web pages.
As can be appreciated from the foregoing, serving ads relevant to concepts of text in a text document and serving ads relevant to keywords in a search query are useful because such ads presumably concern a current user interest. Consequently, such online advertising has become increasingly popular. Moreover, advertising using other targeting techniques, and even untargeted online advertising, has become increasingly popular.
U.S. patent application Ser. No. 10/610,350 (incorporated herein by reference and referred to as “the '350 application”), filed: Jun. 30, 2003, titled “USING ENHANCED AD FEATURES TO INCREASE COMPETITION IN ONLINE ADVERTISING”, and listing Eric Veach as the inventor encourages competition in an online advertising system in which advertisers compete with each other for advertising space. There may be multiple advertising positions available, where the placement of advertisements is determined by an auction. The '350 application may increase competition in online advertising by presenting some advertisements with enhanced features. These enhanced features create an incentive for which advertisers can compete, thereby increasing the effectiveness, usefulness and/or profitability of the advertising system. The application of enhanced features may be determined using at least one or more of pricing information, performance information and advertising information.
Although online advertising networks, particularly those that endeavor to serve relevant ads, have been very popular, they could be improved. For example, it would be useful to better control the application of enhanced features to ads.
Embodiments consistent with the present invention may improve an end user's enjoyment of online ads, increase a likelihood that an end user will notice an ad, increase performance (e.g., selection rate) of an ad, increase brand association between an advertising network and an ad, increase brand association between an advertising network and a content owner (e.g., Web publisher), and/or increase brand association between a search engine and an ad by controlling the application of enhanced features to ads (e.g., conditioned upon a date).
The present invention may involve novel methods, apparatus, message formats, and/or data structures for improving ads, such as those used in an online advertising system for example. The following description is presented to enable one skilled in the art to make and use the invention, and is provided in the context of particular applications and their requirements. Thus, the following description of embodiments consistent with the present invention provides illustration and description, but is not intended to be exhaustive or to limit the present invention to the precise form disclosed. Various modifications to the disclosed embodiments will be apparent to those skilled in the art, and the general principles set forth below may be applied to other embodiments and applications. For example, although a series of acts may be described with reference to a flow diagram, the order of acts may differ in other implementations when the performance of one act is not dependent on the completion of another act. Further, non-dependent acts may be performed in parallel. No element, act or instruction used in the description should be construed as critical or essential to the present invention unless explicitly described as such. Also, as used herein, the article “a” is intended to include one or more items. Where only one item is intended, the term “one” or similar language is used. In the following, “information” may refer to the actual information, or a pointer to, or a location of, such information. Thus, the present invention is not intended to be limited to the embodiments shown and the inventors regard their invention to include any patentable subject matter described.
In the following definitions of terms that may be used in the specification are provided in § 4.1. Then, environments in which, or with which, the present invention may operate are described in § 4.2. Exemplary embodiments of the present invention are described in § 4.3. Finally, some conclusions regarding the present invention are set forth in § 4.4.
Online ads, such as those used in the exemplary systems described below with reference to
When an online ad is served, one or more parameters may be used to describe how, when, and/or where the ad was served. These parameters are referred to as “serving parameters” below. Serving parameters may include, for example, one or more of the following: features of (including information on) a document on which, or with which, the ad was served, a search query or search results associated with the serving of the ad, a user characteristic (e.g., their geographic location, the language used by the user, the type of browser used, previous page views, previous behavior, user account, any Web cookies used by the system, user device characteristics, etc.), a host or affiliate site (e.g., America Online, Google, Yahoo) that initiated the request, an absolute position of the ad on the page on which it was served, a position (spatial or temporal) of the ad relative to other ads served, an absolute size of the ad, a size of the ad relative to other ads, a color of the ad, a number of other ads served, types of other ads served, time of day served, time of week served, time of year served, etc. Naturally, there are other serving parameters that may be used in the context of the invention.
Although serving parameters may be extrinsic to ad features, they may be associated with an ad as serving conditions or constraints. When used as serving conditions or constraints, such serving parameters are referred to simply as “serving constraints” (or “targeting criteria”). Targeting criteria can be broad or narrow. For example, in some systems, an advertiser may be able to narrow the targeting of the serving of its ad by specifying that it is only to be served on weekdays, no lower than a certain position, only to users in a certain location, etc. As another example, in some systems, an advertiser may specify that its ad is to be served only if a page or search query includes certain keywords or phrases. As yet another example, in some systems, an advertiser may specify that its ad is to be served only if a document, on which, or with which, the ad is to be served, includes certain topics or concepts, or falls under a particular cluster or clusters, or some other classification or classifications (e.g., verticals). In some systems, an advertiser may specify that its ad is to be served only to (or is not to be served to) user devices having certain characteristics. Finally, in some systems an ad might be targeted so that it is served in response to a request sourced from a particular location, or in response to a request concerning a particular location.
“Ad information” may include any combination of ad features, ad serving constraints, information derivable from ad features or ad serving constraints (referred to as “ad derived information”), and/or information related to the ad (referred to as “ad related information”), as well as an extension of such information (e.g., information derived from ad related information).
The ratio of the number of selections (e.g., clickthroughs) of an ad to the number of impressions of the ad (i.e., the number of times an ad is rendered) is defined as the “selection rate” (or “clickthrough rate” or “CTR”) of the ad.
A “conversion” is said to occur when a user consummates a transaction related to a previously served ad. What constitutes a conversion may vary from case to case and can be determined in a variety of ways. For example, it may be the case that a conversion occurs when a user clicks on an ad, is referred to the advertiser's Web page, and consummates a purchase there before leaving that Web page. Alternatively, a conversion may be defined as a user being shown an ad, and making a purchase on the advertiser's Web page within a predetermined time (e.g., seven days). In yet another alternative, a conversion may be defined by an advertiser to be any measurable/observable user action such as, for example, downloading a white paper, navigating to at least a given depth of a Website, viewing at least a certain number of Web pages, spending at least a predetermined amount of time on a Website or Web page, registering on a Website, etc. Often, if user actions don't indicate a consummated purchase, they may indicate a sales lead, although user actions constituting a conversion are not limited to this. Indeed, many other definitions of what constitutes a conversion are possible.
The ratio of the number of conversions to the number of impressions of the ad (i.e., the number of times an ad is rendered) and the ratio of the number of conversions to the number of selections (or the number of some other earlier event) are both referred to as the “conversion rate” or “CR.” The type of conversion rate will be apparent from the context in which it is used. If a conversion is defined to be able to occur within a predetermined time since the serving of an ad, one possible definition of the conversion rate might only consider ads that have been served more than the predetermined time in the past.
A “property” is something on which ads can be presented. A property may include online content (e.g., a Website, an MP3 audio program, online games, etc.), offline content (e.g., a newspaper, a magazine, a theatrical production, a concert, a sports event, etc.), and/or offline objects (e.g., a billboard, a stadium score board, and outfield wall, the side of truck trailer, etc.). Properties with content (e.g., magazines, newspapers, Websites, email messages, etc.) may be referred to as “media properties.” Although properties may themselves be offline, pertinent information about a property (e.g., attribute(s), topic(s), concept(s), category(ies), keyword(s), relevancy information, type(s) of ads supported, etc.) may be available online. For example, an outdoor jazz music festival may have entered the topics “music” and “jazz”, the location of the concerts, the time of the concerts, artists scheduled to appear at the festival, and types of available ad spots (e.g., spots in a printed program, spots on a stage, spots on seat backs, audio announcements of sponsors, etc.).
A “document” is to be broadly interpreted to include any machine-readable and machine-storable work product. A document may be a file, a combination of files, one or more files with embedded links to other files, etc. The files may be of any type, such as text, audio, image, video, etc. Parts of a document to be rendered to an end user can be thought of as “content” of the document. A document may include “structured data” containing both content (words, pictures, etc.) and some indication of the meaning of that content (for example, e-mail fields and associated data, HTML tags and associated data, etc.) Ad spots in the document may be defined by embedded information or instructions. In the context of the Internet, a common document is a Web page. Web pages often include content and may include embedded information (such as meta information, hyperlinks, etc.) and/or embedded instructions (such as JavaScript, etc.). In many cases, a document has an addressable storage location and can therefore be uniquely identified by this addressable location. A universal resource locator (URL) is an address used to access information on the Internet.
A “Web document” includes any document published on the Web. Examples of Web documents include, for example, a Website or a Web page. A Website may include multiple Web pages.
“Document information” may include any information included in the document, information derivable from information included in the document (referred to as “document derived information”), and/or information related to the document (referred to as “document related information”), as well as an extensions of such information (e.g., information derived from related information). An example of document derived information is a classification based on textual content of a document. Examples of document related information include document information from other documents with links to the instant document, as well as document information from other documents to which the instant document links.
Content from a document may be rendered on a “content rendering application or device”. Examples of content rendering applications include an Internet browser (e.g., Explorer, Netscape, Opera, Firefox, etc.), a media player (e.g., an MP3 player, a Realnetworks streaming audio file player, etc.), a viewer (e.g., an Abobe Acrobat pdf reader), etc.
A “content owner” is a person or entity that has some property right in the content of a media property (e.g., document). A content owner may be an author of the content. In addition, or alternatively, a content owner may have rights to reproduce the content, rights to prepare derivative works of the content, rights to display or perform the content publicly, and/or other proscribed rights in the content. Although a content server might be a content owner in the content of the documents it serves, this is not necessary. A “Web publisher” is an example of a content owner.
“User information” may include user behavior information and/or user profile information.
“E-mail information” may include any information included in an e-mail (also referred to as “internal e-mail information”), information derivable from information included in the e-mail and/or information related to the e-mail, as well as extensions of such information (e.g., information derived from related information). An example of information derived from e-mail information is information extracted or otherwise derived from search results returned in response to a search query composed of terms extracted from an e-mail subject line. Examples of information related to e-mail information include e-mail information about one or more other e-mails sent by the same sender of a given e-mail, or user information about an e-mail recipient. Information derived from or related to e-mail information may be referred to as “external e-mail information.”
The ad server 120 may be similar to the one described in the '900 application. An advertising program may include information concerning accounts, campaigns, creatives, targeting, etc. The term “account” relates to information for a given advertiser (e.g., a unique e-mail address, a password, billing information, etc.). A “campaign” or “ad campaign” refers to one or more groups of one or more advertisements, and may include a start date, an end date, budget information, geo-targeting information, syndication information, etc. For example, Honda may have one advertising campaign for its automotive line, and a separate advertising campaign for its motorcycle line. The campaign for its automotive line may have one or more ad groups, each containing one or more ads. Each ad group may include targeting information (e.g., a set of keywords, a set of one or more topics, etc.), and price information (e.g., cost, average cost, or maximum cost (per impression, per selection, per conversion, etc.)). Therefore, a single cost, a single maximum cost, and/or a single average cost may be associated with one or more keywords, and/or topics. As stated, each ad group may have one or more ads or “creatives” (That is, ad content that is ultimately rendered to an end user.). Each ad may also include a link to a URL (e.g., a landing Web page, such as the home page of an advertiser, or a Web page associated with a particular product or server). Naturally, the ad information may include more or less information, and may be organized in a number of different ways.
As discussed in the '900 application, ads may be targeted to documents served by content servers. Thus, one example of an ad consumer 130 is a general content server 230 that receives requests for documents (e.g., articles, discussion threads, music, video, graphics, search results, Web page listings, etc.), and retrieves the requested document in response to, or otherwise services, the request. The content server may submit a request for ads to the ad server 120/210. Such an ad request may include a number of ads desired. The ad request may also include document request information. This information may include the document itself (e.g., page), a category or topic corresponding to the content of the document or the document request (e.g., arts, business, computers, arts-movies, arts-music, etc.), part or all of the document request, content age, content type (e.g., text, graphics, video, audio, mixed media, etc.), geo-location information, document information, etc.
The content server 230 may combine the requested document with one or more of the advertisements provided by the ad server 120/210. This combined information including the document content and advertisement(s) is then forwarded towards the end user device 250 that requested the document, for presentation to the user. Finally, the content server 230 may transmit information about the ads and how, when, and/or where the ads are to be rendered (e.g., position, selection or not, impression time, impression date, size, conversion or not, etc.) back to the ad server 120/210. Alternatively, or in addition, such information may be provided back to the ad server 120/210 by some other means.
The offline content provider 232 may provide information about ad spots in an upcoming publication, and perhaps the publication (e.g., the content or topics or concepts of the content), to the ad server 210. In response, the ad server 210 may provide a set of ads relevant the content of the publication for at least some of the ad spots. Examples of offline content providers 232 include, for example, magazine publishers, newspaper publishers, book publishers, offline music publishers, offline video game publishers, a theatrical production, a concert, a sports event, etc.
Owners of the offline ad spot properties 234 may provide information about ad spots in their offline property (e.g., a stadium scoreboard banner ad for an NBA game in San Antonio, Tex.). In response, the ad sever may provide a set of ads relevant to the property for at least some of the ad spots. Examples of offline properties 234 include, for example, a billboard, a stadium score board, and outfield wall, the side of truck trailer, etc.
Another example of an ad consumer 130 is the search engine 220. A search engine 220 may receive queries for search results. In response, the search engine may retrieve relevant search results (e.g., from an index of Web pages). An exemplary search engine is described in the article S. Brin and L. Page, “The Anatomy of a Large-Scale Hypertextual Search Engine,” Seventh International World Wide Web Conference, Brisbane, Australia and in U.S. Pat. No. 6,285,999 (both incorporated herein by reference). Such search results may include, for example, lists of Web page titles, snippets of text extracted from those Web pages, and hypertext links to those Web pages, and may be grouped into a predetermined number of (e.g., ten) search results.
The search engine 220 may submit a request for ads to the ad server 120/210. The request may include a number of ads desired. This number may depend on the search results, the amount of screen or page space occupied by the search results, the size and shape of the ads, etc. In one embodiment, the number of desired ads will be from one to ten, and preferably from three to five. The request for ads may also include the query (as entered or parsed), information based on the query (such as geolocation information, whether the query came from an affiliate and an identifier of such an affiliate), and/or information associated with, or based on, the search results. Such information may include, for example, identifiers related to the search results (e.g., document identifiers or “docIDs”), scores related to the search results (e.g., information retrieval (“IR”) scores such as dot products of feature vectors corresponding to a query and a document, Page Rank scores, and/or combinations of IR scores and Page Rank scores), snippets of text extracted from identified documents (e.g., Web pages), full text of identified documents, topics of identified documents, feature vectors of identified documents, etc.
The search engine 220 may combine the search results with one or more of the advertisements provided by the ad server 120/210. This combined information including the search results and advertisement(s) is then forwarded towards the user that submitted the search, for presentation to the user. Preferably, the search results are maintained as distinct from the ads, so as not to confuse the user between paid advertisements and presumably neutral search results.
Finally, the search engine 220 may transmit information about the ad and when, where, and/or how the ad was to be rendered (e.g., position, selection or not, impression time, impression date, size, conversion or not, etc.) back to the ad server 120/210. Alternatively, or in addition, such information may be provided back to the ad server 120/210 by some other means.
Finally, the e-mail server 240 may be thought of, generally, as a content server in which a document served is simply an e-mail. Further, e-mail applications (such as Microsoft Outlook for example) may be used to send and/or receive e-mail. Therefore, an e-mail server 240 or application may be thought of as an ad consumer 130. Thus, e-mails may be thought of as documents, and targeted ads may be served in association with such documents. For example, one or more ads may be served in, under over, or otherwise in association with an e-mail.
Although the foregoing examples described servers as (i) requesting ads, and (ii) combining them with content, one or both of these operations may be performed by a client device (such as an end user computer for example).
Embodiments consistent with the present invention seek to improve online advertisement performance, end user experience, and/or advertising network branding. Embodiments consistent with the present invention seek to do so by determining when, where, and/or if to apply special logos, graphical elements, borders, and/or color schemes (referred to generally as “styles” or “styling”) to ads or a grouping of ads.
As discussed above, the AdWords advertising network has been used to target the serving of ads to search results generated by the Google search engine. In the past, the Google search engine home page has used special logos, often including various graphical elements to celebrate various special days.
Some of these special logos pertain to special days in certain countries. For example,
Some of the special logos pertain to days having an international or a large multi-national significance. For example,
Some of the special logos celebrate individuals. For example,
Embodiments consistent with the present invention determine when (e.g., an appropriate date or dates), where (e.g., appropriate country or countries), and/or if (e.g., advertiser, content owner, and/or end user are appropriate) to apply special logos, graphical elements, borders, and/or color schemes (referred to generally as “styles” or “styling”) to ads or a grouping of ads.
Exemplary methods consistent with the present invention are described in § 4.3.1. Then, exemplary apparatus consistent with the present invention are described in § 4.3.2. Finally, refinements of, and alternatives to, the described methods and apparatus are described in § 4.3.3.
The one or more processors 2910 may execute machine-executable instructions (e.g., C or C++ running on the Solaris operating system available from Sun Microsystems Inc. of Palo Alto, Calif. or the Linux operating system widely available from a number of vendors such as Red Hat, Inc. of Durham, N.C.) to perform one or more aspects of the present invention. At least a portion of the machine executable instructions may be stored (temporarily or more permanently) on the one or more storage devices 2920 and/or may be received from an external source via one or more input interface units 2930.
In one embodiment, the machine 2900 may be one or more conventional personal computers. In this case, the processing units 2910 may be one or more microprocessors. The bus 2940 may include a system bus. The storage devices 2920 may include system memory, such as read only memory (ROM) and/or random access memory (RAM). The storage devices 2920 may also include a hard disk drive for reading from and writing to a hard disk, a magnetic disk drive for reading from or writing to a (e.g., removable) magnetic disk, and an optical disk drive for reading from or writing to a removable (magneto-) optical disk such as a compact disk or other (magneto-) optical media.
A user may enter commands and information into the personal computer through input devices 2932, such as a keyboard and pointing device (e.g., a mouse) for example. Other input devices such as a microphone, a joystick, a game pad, a satellite dish, a scanner, or the like, may also (or alternatively) be included. These and other input devices are often connected to the processing unit(s) 2910 through an appropriate interface 2930 coupled to the system bus 2940. The output devices 2934 may include a monitor or other type of display device, which may also be connected to the system bus 2940 via an appropriate interface. In addition to (or instead of) the monitor, the personal computer may include other (peripheral) output devices (not shown), such as speakers and printers for example.
Referring back to
As shown, 2800 includes a set of five (5) ads, with a pumpkin graphical element 2860. The first (top) ad includes a pumpkin watermark graphical element 2810 which is also found in the logo of
As can be appreciated from
Naturally, the present invention is not limited to the exemplary special styles. Examples of special styles include (a) providing graphical elements in association with an ad or a set of ads (e.g., at the periphery of an ad or a set of ads, within an attribute bar associated with an ad unit, etc.), (b) providing graphical elements (e.g., watermark icons) within an ad, (c) applying certain colors or color combinations to one or more portions of an ad or a set of ads (e.g., a border, text, etc.). Alternatively, or in addition, the special styles may include special audio elements. Alternatively, or in addition, the special styles may include video and/or animation elements.
The method 2600 of
Recall from block 2610 of
As an example of conditioning the application of special styling on a date, consider that it might be desirable to apply special styling for America's Independence day only on July 4.
As an example of conditioning the application of special styling on a location of the advertiser, consider that it might be desirable to apply special styling for Bastille day to a French advertiser. Similarly, as an example of conditioning the application of special styling on a location of an end user, it might be desirable to apply special styling for Canada day to an end user (e.g., working on a client device) located in Canada. As yet another example, it might be desirable to apply special styling for Canada day to a content owner (e.g., web publisher) in located in (or having a substantial business presence in) Canada.
As an example of conditioning the application of special styling on preferences expressed by or inferred about the advertiser, if the advertiser has selected a custom color scheme or custom elements, it might be desirable to not apply a special style that would obviate, obscure, and/or dilute such advertiser selections.
As an example of conditioning the application of special styling on preferences expressed by or inferred about the end user, if the end user has selected to not install code to enable animation such as flash animation, it might desirable to not apply a special style that includes an animation (even if it could be run on an enabled technology). As another example, if the end user is not Christian, it might be desirable to not apply a special style celebrating Easter.
As an example of conditioning the application of special styling on preferences expressed by or inferred about a content owner (e.g., a Web publisher), if a Web publisher (e.g., participating in AdSense by Google) has selected a custom color scheme to be applied to ads served on its Website (e.g., to maintain a consistent image or look-and-feel), it might be desirable to not apply a special style that would obviate, obscure, and/or dilute such Web publisher selections. As another example, if a content owner has opted into displaying image ads, it might be desirable to apply a special styling to ads served on its content.
As an example of conditioning the application of special styling on information about the advertiser, if the advertiser is opposed to Halloween (e.g., on religious grounds), it might be desirable not to apply a special style celebrating Halloween to ads of that advertiser.
As an example of conditioning the application of special styling on information about the end user, if the end user is not Chinese, it might be desirable not to apply a special style celebrating the Chinese New Year. Similarly, it might be desirable not to provide ads with special styling including colors or images that are associated with bad luck, or that have a negative association in certain cultures to which the end user may belong.
Finally, as an example of conditioning the application of special styling on information about the content owner, if the content owner is a Website for widows or single mothers, it might not be desirable to apply a special style celebrating Fathers Day.
Various information upon which the application of special styling is conditioned may be known or inferred. For example, the language used by a user may indicate the country in which the user resides, and/or their nationality. As another example, the use of a “family friendly” filter may indicate that the user has children.
In at least some embodiments consistent with the present invention, an advertiser may opt out of (or opt into) having their ads provided with special styling. The opting out of (or into) may be on a general basis (across all special styling), across groups of special styling (e.g., all special styling concerning religious holidays or celebrations), or to specific special styling (e.g., opt out of Halloween special styling and World Soccer Tournament special styling only).
Similarly, in at least some embodiments consistent with the present inventions, a content owner (e.g., a Web publisher on whose Website ads are to be shown) may opt out of (or into) having ads with special styling shown on their content (e.g., Website).
In at least some embodiments consistent with the present invention, special styling may be applied only to ads with a score exceeding a certain level, or having a factor (such as selection rate, offer, etc.) that exceeds a certain level. In this regard, techniques described in the '350 application may be used in a manner consistent with the present invention.
In at least some embodiments consistent with the present invention, ads of an advertiser might be applied with special styles only if the advertiser agrees to pay a surcharge (e.g., a flat fee, a percentage of their maximum offer, a percentage of a discounted price, etc.).
In at least some embodiments consistent with the present invention, the condition upon which the application of special styling depends may be whether a “special styling score” exceeds a threshold. The special styling score may be a function of one or more of the factors (e.g., conditions) discussed above.
Although many of the examples concern a special date, embodiments consistent with the present invention may apply special styling associated with a special event.
As can be appreciated from the foregoing, embodiments consistent with the present invention can be used to improve end user's enjoyment of online ads, increase a likelihood that an end user will notice an ad, increase performance (e.g., selection rate) of an ad, increase brand association between an advertising network and an ad, increase brand association between a search engine and an ad, increase brand association between a Webpage and an ad, etc.
