US20070118392A1 - Classification and Management of Keywords across Multiple Campaigns - Google Patents

Abstract

A system for classifying and managing keywords across multiple campaigns comprises a classification manager, a bid management system, a web analytics tool and a search engine. The classification manager interfaces with the bid management system and the web analytics tool to provide user interfaces for reviewing data about specific keywords across multiple campaigns. The classification manager includes a classification keyword repository, a classification creation module, a classification measurement module and a classification user interface module for generating the user interface. This is particularly advantageous because statistics corresponding to keywords can be classified across multiple campaigns to provide greater flexibility in the analysis of web data. The present invention also includes a novel method for the classification of keywords across multiple campaigns.

Description

CROSS-REFERENCE TO RELATED APPLICATION
• The present application claims priority, under 35 U.S.C. § 119(e), of U.S. Provisional Patent Application No. 60/731,177, filed Oct. 28, 2005 and entitled “Classification and Management of Keywords across Multiple Campaigns,” the entirety of which is hereby incorporated by reference.
BACKGROUND OF THE INVENTION
• 1. Field of the Invention
• The present invention relates to a system and methods interfacing with Internet search engines. For example, web analytic systems often include additional modules, such as bid management systems to manage keyword bids and advertising campaigns associated with those key words. In particular, the present invention relates to systems and methods for classification of keywords across multiple campaigns in a bid management system associated with a web analytics system.
• 2. Description of the Background Art
• With the development of the Internet, a number of new business models for producing sales and generating revenue have been developed. For example, it is now commonplace for search engines to allow advertisers to purchase keywords and display their associated advertising in response to searches or queries on such keywords. The pricing of such keywords can vary depending on a number of factors including the number of advertisers that want to purchase such keywords, the number of searches including such keywords and other factors. Presently, the management of such keywords is largely performed manually with human users inputting keywords. For example, keywords are currently managed using any one of a number of spreadsheet or document formats. Users typically list the keywords in a document or spreadsheet, then convert the document, so the keywords are listed in a format such as comma-separated values, and finally, that data is converted and uploaded into a search engine. Therefore, since large advertising campaigns can have tens of thousands of keywords as part of an Internet marketing strategy, it would be very cumbersome to manage such keywords in a manual fashion is, as described above.
• Referring now toFIG. 1, a conventional scheme used by search engines to pair keywords with text or advertisements is shown. Typically, an advertiser will purchase a number of keywords (keyword1 to keyword n) according to prices provided by the search engines. The advertiser will also provide one or more ads/text. Then responsive to search inputs by users the search engine will choose, based on the selected keyword, one of the ads/text from a list provided by the advertiser. In the prior art, the search engine randomly pairs keywords with ads/text or selects the ads last text on a rotating basis: first usingad1, next usingad2, next usingad3, etc. until the nth ad is used and returns toad1.
• Referring now toFIG. 2, the operation of the constituent components is shown in more detail. In a first step, the keyword is selected based on the search criteria input by the user. Then in a next step, an ad/text is selected from a list of possible advertisements. The keyword-ad pair is then provided as part of the web page to the user.
• One particular problem for companies is that they often run concurrent advertising campaigns that utilize numerous keywords. Even though the advertising campaigns are unrelated, it is very valuable for the advertisers or companies to group keywords across multiple advertising campaigns (inter-campaign), as well as provide other groupings of keywords, such that a variety of web analytic statistics for such keywords can be reviewed and analyzed. While existing search engines provide a user interface for inputting the keywords into such search engine systems, these user interfaces typically separate the campaigns in a hierarchy. Within this hierarchy, there is limited flexibility to group keywords according to the needs of the advertisers and companies. The keywords are typically grouped by the campaign-and only within that campaign is there an ability to provide groupings of keywords. The prior art does not provide any ability to group keywords across different campaigns. Thus, there is a need for systems and methods that can classify keywords across multiple campaigns to provide greater flexibility in the analysis of web data.
SUMMARY OF THE INVENTION
• The present invention overcomes the deficiencies and limitations of the prior art by providing a classification manager for managing keywords across multiple campaigns. In one embodiment, the system comprises a classification manager, a bid management system, a web analytics tool and a search engine. The classification manager interfaces with both the bid management system and the web analytics tool to provide user interfaces for reviewing data about specific keywords across multiple campaigns. The classification manager includes a classification keyword repository, a classification creation module, a classification measurement module and a classification user interface module for generating the user interface. This is particularly advantageous because statistics corresponding to keywords can be classified across multiple campaigns to provide greater flexibility in the analysis of web data. The present invention also includes a novel method for the classification of keywords across multiple campaigns.
BRIEF DESCRIPTION OF THE DRAWINGS
• The present invention is illustrated by way of example, and not by way of limitation in the figures of the accompanying drawings, in which like-reference numerals are used to refer to similar elements.
• FIG. 1 is a block diagram of a conventional scheme used by search engines to pair keywords with text or advertisements.
• FIG. 2 is block diagram of a conventional flow for buying keywords and creating web pages.
• FIG. 3 is a block diagram of an embodiment of the system according to the present invention including a classification manager.
• FIG. 4 is a block diagram of an embodiment of the system according to the present invention having a bid management system including the classification manager.
• FIG. 5 is a block diagram of an embodiment of the classification manager in accordance with the present invention.
• FIG. 6 is a flowchart of an embodiment of a method for creating a classification for keywords across multiple campaigns in accordance with the present invention.
• FIG. 7 is a flowchart of an embodiment of a method for generating a display of a classification for keywords across multiple campaigns in accordance with the present invention.
• FIG. 8 is example graphical user interface for creating a classification across multiple campaigns in accordance with an embodiment of the present invention.
• FIG. 9 is example graphical user interface for adding keywords to a classification across multiple campaigns in accordance with an embodiment of the present invention.
• FIG. 10 is example graphical user interface for displaying statistics about keywords without classification in accordance with an embodiment of the present invention.
• FIG. 11 is example graphical user interface for displaying statistics about keywords with classification in accordance with an embodiment of the present invention.
DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS
• A classification manager and a method for using the same are described. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the invention. It will be apparent, however, to one skilled in the art that the invention can be practiced without these specific details. In other instances, structures and devices are shown in block diagram form in order to avoid obscuring the invention. For example, the present invention is described primarily with reference to printing documents for reading.
• Reference in the specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment.
• The algorithms and displays presented herein are not inherently related to any particular computer or other apparatus. Various general-purpose systems may be used with programs in accordance with the teachings herein, or it may prove convenient to construct more specialized apparatus to perform the required method steps. The required structure for a variety of these systems will be apparent from the description below. In addition, the present invention is not described with reference to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of the invention as described herein.
• Moreover, the present invention claimed below may operate on or work in conjunction with an information system or network. For example, the invention can operate as a server or communicate with a network with additional functionality depending on the configuration. Thus, the present invention is capable of operating with any information system from those with minimal functionality to those providing all the functionality disclosed herein.
• System Including the Classification Manager
• The present invention overcomes the shortcomings of the prior art by providing asystem300 and methods for creating and managing classifications of keywords across multiple campaigns for asearch engine308.FIG. 3 shows asystem300 in accordance with an embodiment of the present invention. Thesystem300 comprises aclassification manager302, abid management system304, aweb analytics tool306 and asearch engine308. Auser310 interfaces (as delineated with the dashed lines) with theclassification manager302 and theweb analytics tool306. Theuser310 interacts with theclassification manager302 to select keywords, associate the keywords with a classification, and create advertising campaigns that will be described in detail below. Theuser310 interacts with theweb analytics tool306 to track and monitor traffic over a user's web site.
• In one embodiment, theclassification manager302 is adapted for communication with thesearch engine308, thebid management system304 and theweb analytics tool306 for classification of keywords across multiple campaigns and tracking web site visitation statistics related to specific keywords. In one embodiment, theclassification manager302 allows keywords used in Internet advertising campaigns to be classified across multiple campaigns. The classifications are user-definable as to what keywords are included in each classification. As shown inFIG. 3, theclassification manager302 interfaces with thebid management system304 to provide user interfaces for reviewing data about specific keywords and their classifications. Theclassification manager302 is also coupled to theweb analytics tool306 to measure performance and monitor use and traffic across a user's website with regard to the specific keyword(s). Theclassification manager302 advantageously collects statistics and tracks keywords independent of the campaign in which the keywords are used. Once collected, the statistics can then be divided, arranged and presented to theuser310 according to the classifications defined by theuser310. The process for both defining a classification and viewing web analytics data according to user-defined classifications are performed by theclassification manager302 and described in more detail below with reference toFIGS. 6 and 7.
• The present invention is particularly advantageous because by allowing the user to define classifications for keywords, the effectiveness of different keywords in the context of relationships to other keywords, products or other information can be compared. This is especially advantageous, since the classifications of keywords are user-definable. This invention allows the user to group keywords as desired into different classifications such that the classifications match other groupings of the user. In one embodiment, the classification can be created by the user (as needed) to match other groupings of keywords that the user is interested in tracking that may mirror a company's organizational structure, particular groupings of goods that have high margins, groupings of goods by type (e.g., sports/non-sports), groupings of goods from multiple advertising campaigns (aggregation of campaigns), a product lifecycle, the product rollout or replacement plant, and any other grouping of keywords that the user may be interested in tracking. The classification manager provides specific information about which combination of keywords generated specific Web traffic, such as traffic that generated a sale. This is particularly advantageous because the keywords that generate a large number of sales can be reused to generate future traffic. Similarly, keywords/classifications that do not generate Web traffic can be eliminated from the words that are purchased by the advertiser. Thus, the present invention greatly reduces the uncertainty presently provided by keyword purchasing schemes offered by present-day search engines.
• The present invention also includes a user interface that can be used to view Web statistical data corresponding to a keyword as defined within a classification, or even a sub-classification. This user interface is particularly advantageous for identifying keywords that either generate significant amounts of Web traffic, or generate no traffic-as has been noted above. Such an example of user interface will be described below with reference toFIG. 11.
• Theclassification manager302 is adapted to communicate with thebid management system304. For example, thebid management system304 may be SearchCenter, manufactured by Omniture, Inc. of Orem, Utah. Portions of thebid management system304 will be described below with reference toFIGS. 8-11. Thebid management system304 is operatively connected to asearch engine308 and communicates with thesearch engine308 for the purchase and placement of keywords, transfer of advertising content and collecting keyword and traffic statistics. Thebid management system304 is also coupled to theweb analytics tool306.
• Theclassification manager302 is also adapted to communicate with theweb analytics tool306. As an example, SiteCatalyst manufactured by Omniture, Inc. of Orem, Utah can be used as aweb analytics tool306. Theweb analytics tool306 is software that measures the behavior of visitors at a website. In particular, the software measures which aspects of the website work towards the business objectives; for example, which pages encourage people to make a purchase. Theweb analytics tool306 is also coupled to thesearch engine308.
• Theweb analytics tool306 andbid management system304 are adapted to communicate with thesearch engine308. The search engine is a conventional type such as an Internet search engine like those provided by Google, Microsoft Search or Yahoo.
• FIG. 4 shows asystem400 in accordance with another embodiment of the present invention. Thesystem400 has the same functionality as has been described above forsystem300; however, insystem400, theclassification manager302 is part of and integrated into thebid management system304.
• Referring now toFIG. 5, an embodiment of theclassification manager302 is shown in more detail. Theclassification manager302 comprises a classification andkeyword repository502, aninterface module504, a classification user interface module506, anclassification creation module508 and a classification/keyword measurement module510.
• The classification andkeyword repository502 is a storage device for storing classifications, sub-classifications, classification names, keywords associated with a classification and other information associated with the classification. While the present invention is described here and throughout this application as including classifications of keywords into groups, it should be understood the invention is equally applicable to the nesting of classifications any number of levels deep and that other classifications at the same level have exclusive or overlapping groupings of keywords. For example, the classification andkeyword repository502 is used to store a unique data structure for the classifications that includes fields for a classification name, a list of key words of arbitrary length, a list of zero or more related or nested classifications, text, a campaign title, descriptions, etc. The information stored in the classification andkeyword repository502 can be re-used for different campaigns or for the same classification to other keyword groupings. The classification andkeyword repository502 is adapted for communication with the other components of theclassification manager302. The classification andkeyword repository502 can also be accessed by theweb analytics tool306 andbid management system304.
• In one embodiment, theinterface module504 is adapted for communication with theweb analytics tool306, thebid management system304 and the search engine(s)308, such as using APIs. Theinterface module504 interacts with theweb analytics tool306 to retrieve web analytics information related to the keywords and classifications. Theinterface module504 interacts with thebid management system304 to track what keywords are parts of which campaign, track the usage of the keywords, purchase keywords and interact with thesearch engine308.
• The classification user interface module506 is a software program operational on theclassification manager302 and enables communication with theuser310. The classificationuser interface module504 generates and presents a graphical user interfaces and accepts inputs from theuser310 that will be described below for an example embodiment inFIGS. 8-11. The inputs from the user are sent by the classification user interface module506 to the appropriate component of theclassification manager302 that processes the data. The classification user interface module506 also presents a user interface in which theuser310 can manage keywords across multiple campaigns. For example, theuser310 may also determine: whether a keyword is used, set a maximum cost per click (CPC), select a bid strategy or other aspects and information related to the use of a keyword irrespective of what campaigns the keyword is using.
• Theclassification creation module508 is a software tool for creating a classification including different interfaces to solicit data from the user and to interact with thebid management system304 and thesearch engine308. In one embodiment, theclassification creation module508 creates a classification data structure, adds data from the user to the classification data structure and stores the classification data structure in the classification andkeyword repository502. As noted above, the classifications are user-definable including classification names, keywords in the classification, statistics to be generated for the classification, etc. Theclassification creation module508 receives data from the user via the classification user interface module506, and uses the data to populate the classification data structure. The operation of theclassification creation module508 is described below with reference toFIGS. 6, 8 and9. Theclassification creation module508 is adapted for communication with theinterface module504, the classification user interface module506, the classification andkeyword repository502 and theclassification measurement module510. Using additional information commonly used for different classifications that is stored in the classification andkeyword repository502, the process of creating new classifications is greatly simplified. Using the information from theclassification measurement module510, theuser310 can increase the effectiveness of keywords, by reviewing the metrics for keyword that are being selected for re-use in new campaigns.
• Theclassification measurement module510 is a software tool for measuring the usage of keywords across multiple ad campaigns. Theclassification measurement module510 is advantageous because it is able to measure different metrics directly on a keyword basis and organize that information according to categories or classifications defined by the user. Theclassification measurement module510 is coupled via theinterface module504 to theweb analytics tool306 to retrieve usage metrics of the keywords. Theclassification measurement module510 uses conventional capabilities available in theweb analytics tool306 to retrieve web analytics metric such as cost-per-click (CPC), impressions (each time an advertisement loads on a user's screen), clicks, click-through rate (CTR), cost, etc. Theclassification measurement module510 is adapted for communication with theweb analytics tool306 to retrieve data about keywords, and is adapted for communication with the classification andkeyword repository502 to identify keywords and other information on a classification basis.
• Method for Creating and Using Classifications
• Referring now toFIG. 6, one embodiment of a method for creating a classification of keywords in accordance with the present invention will be described. The method begins by displaying602 a classification graphical user interface, such as shown inFIG. 8. The classification graphical user interface602 allows theuser310 to input data necessary for the creation of classification. Thesystem300 then creates604 a classification data structure as it was described above. Thesystem300 then receives606 inputs from the user. The method for determines whether the input was the name for the classification. If the input is the name for the classification, then the method proceeds to step610 to add the input as the name of the classification in the data structure after which the method returns to step606 to receive more input from theuser310. If the input was not the name for the classification, the method determines612 whether the input was the addition of a keyword to the classification. If so, the method adds the input keyword in the data structure after which the method continues instep606 to receive more input from theuser310. In one embodiment, the keywords are provided in a series of windows as shown inFIG. 9 with one for the keywords in use, and another for the keywords selected in this classification. Those skilled in the art will recognize that the same keyword may be in multiple different classifications. If the input was not the addition of a keyword, the method determines616 whether additional information is being added to the classification. Such additional information could be a sub-classification, metrics about the classification to be generated or calculated, or any other information. If so, the method adds618 the other data or reference to the data structure after which the method returns to step606 to receive more input from theuser310. If not, the method continues and determines620 whether the input is to create a new classification. If not, the method returns to step606 to receive additional input from the user. If so, the method stores622 the created data structure in therepository502 and the method is complete.
• Referring now toFIG. 7, one embodiment of a method for displaying keywords and other metrics across multiple campaigns is shown. The method begins by receiving702 a request for the display of keywords from the user. Next, the method determines704 whether a classification exists for particular keywords and whether theuser310 has asked for display of the keywords within the classification. If not, the method displays706 the keywords without classification (as shown for one example inFIG. 10) and the method is complete and ends. However, if theuser310 asked for display of the keywords within the classification, the method continues by identifying708 the classifications that theuser310 has defined. In one embodiment, the user may share a classification or make a classification a default so that it may be used by others. Then the method identifies710 the keywords associated with the classification. Then the keywords are assigned712 within a particular classification according to the classification data structure. While this method is being described in the context of a single classification, those skilled in the art will recognize that there may be multiple classifications, and therefore, keywords must be assigned to the proper classification. Next, the statistics and other web analytics data are retrieved714 for each keyword. This can be done on a keyword basis or in bulk. Then the statistics or other data are determined716 for the classifications. The classifications may include subtotals, averages, median, etc., of data for the keywords that are within the classification. These statistics and other information are determined by doing computations, comparisons, additional searching or other operations. Then the classifications, keywords, statistics and other information are displayed718 in the GUI of the present invention, an example of which is provided inFIG. 11. Next the method determines720 whether the user has input information or has chosen to manage the keywords from the GUI of the present invention. If not, the method is complete and ends. If so, the GUI of the present invention can be used to manage722 keywords, and theclassification manager302 interacts with thebid management system304 to manage the use of keywords according to input by the user such as setting a CPC for a particular keyword, activating or deactivating a keyword, selecting a strategy etc.
• Example Embodiment and User Interfaces
• Referring now toFIGS. 8-11 examples of embodiments for different graphical user interfaces presented by thesystem300 of the present invention are shown.
• The classification function of the present invention provides theusers310 with the capability to group the business relevant keywords together and operate them more efficiently. For example, if an advertiser such as GM has 3 different campaigns running at the same time, like the “Employee pricing campaign”, the “No money down campaign” and the “0% financing campaign”, then in Google or Yahoo, these campaigns are created and managed as 3 different entities in each of thesearch engines308.
• Using the same example, all 3 campaigns will have similar key words that would include vehicle names. Without the classification capabilities of the present invention,users310 need to manage the same keywords in multiple places and are not be able to analyze the same keywords as a group. For example, the Chevrolet team would not be able to manage and track their vehicles, Cadillac, their corresponding vehicles and Hummer, their own vehicles in a single interface.
• As shown in the screens ofFIGS. 8-11, classification functionality of the present invention can easily group these groups of vehicles under “Car Divisions” classification for easy management.
• FIG. 8 shows examplegraphical user interface800 for creating a classification across multiple campaigns in accordance with an embodiment of the present invention. Thisinterface800 allows the user to create different types of classifications relevant to their business, for example, classifications for products, brands, types, business divisions, etc. Theuser interface800 providesfield802 for the user to input the name of the classification. The user interface also provides a button to initiate the process for creating anew classification804. Theuser interface800 for creating a classification also includes anarea806 for presenting information about the classification such inputting any custom criteria such as (but not limited to) keyword, search engine, campaign, text ad, ad group, landing page, or other classifications such as “car divisions.” Those skilled in the art will understand that the custom criteria provided in theinterface800 are only by way of example, and that alternate embodiments may include any other variety of criteria upon which information may be classified for web analytics purposes.
• FIG. 9 is example graphical user interface for adding keywords to a classification across multiple campaigns in accordance with an embodiment of the present invention. The user begins the process of creating a classification of keywords using theinterface800 shown inFIG. 8. Once thatinterface800 has been used to name a classification, theinterface900 ofFIG. 9 is displayed and presented to theuser310. Thisinterface900 advantageously has a layout tailored to identify keywords to be added to the classification. Although not shown, thisinterface900 can also provide an indication as to which classification keywords are being added to or removed from a classification such as “car divisions,” for example. In one embodiment, the present invention drives theuser310 to enter keywords. Users can enter keywords manually infield902, or select from awindow904 that is populated with keywords that have been or are being used. Once the keywords are selected for inclusion, they are added to the selectedkeywords window906. A plurality of buttons provides for the addition or removal of keywords in various different formats as will be recognizable to those skilled in the art.
• FIG. 10 shows an examplegraphical user interface1000 for displaying statistics about keywords without classification in accordance with an embodiment of the present invention. Thegraphical user interface1000 shows how the data will appear in one campaign if there is no classification. All brands are shown under the campaign. The brands can be separated through ad groups in Google for example, but there will still be duplicate groups with duplicate keywords in different campaigns ondifferent search engines308 that would require separate management even though they are the same. Furthermore, theuser310 must toggle between onsuch interface1000 for each campaign, and it is difficult if not impossible to effectively compare and combine information across different search engines and different campaigns.
• FIG. 11 shows an examplegraphical user interface1100 for displaying statistics about keywords with a classification in accordance with an embodiment of the present invention. Thesystem300 provides theuser interface1100 for viewing keywords, and creates new hierarchical views for reviewing the keywords. More particularly, theinterface1100 is shown displaying a previously created “car divisions” classification and assigning the keywords to relevant divisions where keywords are grouped for better management and analysis. As can be seen, the top-level1102 of a hierarchy indicates thesearch engine308 with which theclassification manager302 is interacting. At thenext level1104 in a hierarchy, the present invention provides any number of user-definable classes or classifications. To or within these classes or classifications, keywords that have been purchased with thesearch engine308 at the root node can be added. This hierarchical view also includes a variety ofother attributes1106 such as reports, whether the keywords are currently active, bid strategy, destination URL and other information that can be used in reviewing the advertising strategy across multiple campaigns. Those skilled in the art will recognize there is a variety of other data that may be grouped according to the same classifications to allow the user to review and analyze the value of particular keywords across multiple campaigns. In an alternate embodiment not shown, the present invention also allows for the nesting of user created classifications of keywords.
• The foregoing description of the embodiments of the present invention has been presented for the purposes of illustration and description. It is not intended to be exhaustive or to limit the present invention to the precise form disclosed. Many modifications and variations are possible in light of the above teaching. For example, the present invention may include additional interfaces that may be adapted for use with additional search engines. It is intended that the scope of the present invention be limited not by this detailed description, but rather by the claims of this application. As will be understood by those familiar with the art, the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. Likewise, the particular naming and division of the modules, routines, features, attributes, methodologies and other aspects are not mandatory or significant, and the mechanisms that implement the present invention or its features may have different names, divisions and/or formats. Furthermore, (as will be apparent to one of ordinary skill in the relevant art,) the modules, routines, features, attributes, methodologies and other aspects of the present invention can be implemented as software, hardware, firmware or any combination of the three. Of course, wherever a component, (an example of which is a module), of the present invention is implemented as software, the component can be implemented as a standalone program, as part of a larger program, as a plurality of separate programs, as a statically or dynamically linked library, as a kernel loadable module, as a device driver, and/or in every and any other way known now or in the future to those of ordinary skill in the art of computer programming. Additionally, the present invention is in no way limited to implementation in any specific programming language, or for any specific operating system or environment. Accordingly, the disclosure of the present invention is intended to be illustrative, but not limiting, of the scope of the present invention, which is set forth in the following claims.

Claims (27)

1. A system for classifying keywords across multiple campaigns, the system comprising:

a bid management system for managing purchase of at least one keyword in a plurality of campaigns;

a web analytics tool for collecting traffic statistics for the keyword; and

a classification manager adapted for communication with the web analytics tool and the bid management system, the classification manager adapted to receive input from a user including a classification including at least one classified keyword and a classification name, the classification manager retrieving and presenting web site visitation statistics related to the classified keyword.

2. (canceled)

3. The system ofclaim 1, wherein the classification manager includes a classification user interface module for presenting the classification as a hierarchical display with the classification name at a level, and the classified keyword at a sub-level.

4. The system ofclaim 3, wherein the classification user interface module is adapted to receive input from a user and manage keywords based on the input from the user.

5. The system ofclaim 1, wherein:

the bid management system for managing purchase of a plurality of keywords in a plurality of campaigns on a plurality of search engines; and

the classification manager presents the classification including a plurality of classified keywords and a classification name, and the classification manager presents the classification as a hierarchical display with the classification name at a level, and the classified keyword at a sub-level.

6. (canceled)

7. The system ofclaim 1, wherein the classification manager includes a repository for storing a classification and at least one classified keyword associated with the classification.

8. (canceled)

9. The system ofclaim 1, wherein the classification manager includes classification creation module for creating the classification including the classification name, the at least one classified keyword, and a metric associated with the classified keyword.

10. The system ofclaim 9, wherein the metric for the classified keyword includes one from the group of cost-per-click (CPC), impressions, clicks, click-through rate (CTR), page hits, and cost.

11. The system ofclaim 1, wherein the classification manager includes a keyword measurement module for measuring metrics for classified keywords, the keyword measurement module adapted for communication with the web analytics tool.

12. The system ofclaim 1, wherein the classification manager presents a plurality of classifications, each classification having a classification name and a plurality of classified keywords.

13. The system ofclaim 1, wherein at least one of the plurality of classifications includes a sub-classification.

14. A method for classifying keywords across multiple campaigns, the method comprising:

receiving from a user information including a classification name and at least one keyword;

creating a classification including the information;

determining the keyword in the information;

determining a web traffic metric for the keyword; and

presenting the classification to the user including the keyword in a relationship to the classification and the metric for the keyword.

15. The method ofclaim 14, further comprising storing the information in a repository.

16. The method ofclaim 15, wherein the information in stored in a data structure including a classification name, a classification keyword, a classification metric, and other classification information.

17. The method ofclaim 14, wherein the metric is one from the group of cost-per-click (CPC), impressions, clicks, click-through rate (CTR), page hits and cost.

18. The method ofclaim 14, wherein presenting the classification includes displaying the classification name in a hierarchical relationship to keywords for the classification.

19. (canceled)

20. The method ofclaim 14, wherein presenting the classification includes generating and displaying a metric for the classification.

21. The method ofclaim 14, wherein presenting the classification presents the classification and the keywords of the classification in a graphical user interface.

22. The method ofclaim 14, further comprising managing at least one classified keyword using the graphical user interface.

23. A computer-readable medium having instructions stored therein and that are executable by a processor, the instructions comprising instructions to:

receiving from a user information including a classification name and at least one keyword;

creating a classification including the information;

determining the keyword in the information;

determining a web traffic metric for the keyword; and

presenting the classification to the user including the keyword in a relationship to the classification and the metric for the keyword.

24. (canceled)

25. The computer-readable medium ofclaim 18 wherein the presenting the classification includes displaying the classification name in a hierarchical relationship to keywords for the classification.

26. (canceled)

27. (canceled)

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