Automated Integration of Partner Products

Abstract

Automated integration of partner products in connection with a web analytics application is facilitated. A list of available partner products is displayed, and the user is provided with an opportunity to select one or more of the displayed partner products. A wizard is presented, allowing the user to configure the partner product by specifying and mapping metrics, dimensions, and the like. Partner product integration then takes place automatically, thereby simplifying the process by which such integrations can be implemented.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application is a continuation of U.S. patent application Ser. No. 11/692,851, filed Mar. 28, 2007, now allowed, which claims the benefit of U.S. Provisional Patent Application No. 60/786,868 filed Mar. 28, 2006, for "Automated Integration of Partner Products," the entire disclosures of which are incorporated herein by reference in their entireties.

TECHNICAL FIELD

[0002] The present invention is related to data integration, and more particularly to techniques for integrating data from multiple partners into a web analytics application.

BACKGROUND

[0003] The present invention provides a technique for integrating data from multiple partners into a web analytics application such as SiteCatalyst (available from Omniture, Inc. of Orem, Utah). Many prior art data sources' interfaces are not intuitive, and do not provide sufficient visibility into partners with which customers can integrate. In addition, prior art systems do not generally present those partners, or the ability to integrate with them, in a way that motivates customers, partners, or press/analysts.

SUMMARY

[0004] The present invention provides techniques for improving integration of user interfaces for web analytics software tools, for simplifying and clarifying the ability to integrate with partner products, and also for branding the integration with the provider of the web analytics software with a global partner network.

[0005] In addition, the present invention provides techniques for improving communication to customers as to which partners have integration agreements with the provider of the web analytics software. In one user scenario, a customer has data within a partner product that is relevant to data in the web analytics tool and creates an integration to tie the two data sets together.

[0006] In another user scenario, a customer seeks to understand which partners have partnered with the web analytics software provider and wants to understand how to utilize that partnership. The customer views partners within a partner showcase to learn more.

BRIEF DESCRIPTION OF THE DRAWINGS

[0007] The Figures provide an illustration of a technique for implementing the present invention according to one embodiment.

[0008] FIGS. 1 and 2 are screen shots depicting a user interface for adding marketing applications to a web analytics tool.

[0009] FIG. 3 is a screen shot depicting a dialog box for configuring a marketing application.

[0010] FIG. 4 is a screen shot depicting a list of various types of solution partners, including information and instructions for each.

[0011] FIG. 5 is a screen shot depicting steps for integrating a partner that is not currently part of a solution network.

[0012] FIG. 6 is a graphical depiction of the relationship between a web analytics tool and various partners.

[0013] FIG. 7 is a flowchart depicting a current method for integrating a partner with a web analytics tool.

[0014] FIG. 8 is a flowchart depicting an enhanced method for integrating a partner with a web analytics tool.

[0015] FIGS. 9A and 9B depict two examples of a UI navigation scheme for a software application that implements the present invention.

[0016] FIG. 10 depicts an example of a partners home page, as may be displayed in connection with the Partners Tab box of FIG. 8.

[0017] FIG. 11 depicts a detail of the top section of the partners home page shown in FIG. 10.

[0018] FIG. 12 depicts a detail of the bottom section of the partners home page shown in FIG. 10.

[0019] FIG. 13 depicts an example of step 1 of a configuration wizard as may be displayed if the user is a first-time visitor.

[0020] FIG. 14 depicts an example of step 2 of a configuration wizard as may be displayed if the user is a first-time visitor.

[0021] FIGS. 15A, 15B, and 15C depict an example of steps 1 to 3 of a partner data sources wizard.

[0022] FIGS. 16A, 16B, and 16C depict an example of steps 4 to 6 of a partner data sources wizard.

[0023] FIG. 17 depicts an example of a screen for viewing and editing the customer's marketing world.

[0024] FIG. 18 depicts a detail of the top section of the screen shown in FIG. 17.

[0025] FIG. 19 depicts an alternative example of a screen for viewing and editing the customer's marketing world.

[0026] FIG. 20 depicts another alternative example of a screen for viewing and editing the customer's marketing world.

[0027] FIG. 21 depicts an example of a screen for viewing and editing partner information in a partner showcase.

[0028] FIG. 22 depicts an example of a screen for viewing and activating partner integrations.

[0029] FIG. 23 depicts an example of a screen for showing integration resources.

[0030] FIG. 24 depicts an example of a screen for showing integration tools.

DETAILED DESCRIPTION

[0031] For purposes of the present invention, an integration is a process of incorporating partner data into a data structure of a web analytics tool. For example, it may be desirable to integrate email campaign information, CRM system information, ad serving, search terms, and the like. Integrations can cause data to be sent from the partner to the web analytics tool, or vice versa. In some cases, integrations can facilitate a bidirectional flow of data. For example, for an email integration, the web analytics tool might receive campaign data from a partner, track visitor information to the site, and export information about visitors that behave a certain way and send it to the partner.

[0032] The present invention provides a user interface to allow partners to easily integrate with a web analytics tool via an intuitive, drag-and-drop interface. The techniques described herein facilitate a smooth and straightforward integration path for most partner data elements.

[0033] In one embodiment, a Partner Product Palette (PPP) assists in the automation of data integration from various online marketing ecosystem partners. A backend tool allows marketing to add to and customize the partner products displayed within the PPP. This tool allows marketing to associate a partner product with an appropriately typed data source (data import tool). For example, an e-mail vendor can be associated with an e-mail type data source. Once added, the partner product appears within the Partner Product Palette and the customers can begin the process of integrating their vendor's data into the web analytics tool.

[0034] The addition of new partner products instantly provides an automated data integration system for existing customers who currently use the added product. The PPP also allows marketing to control the visibility of each partner product and to organize these products by industry without writing any code to control the partner products. The tool gives them the ability to associate white papers, help links, logos, training videos, and other pertinent data regarding the data integration.

[0035] The following is a sample use case illustrating the use of PPP:

[0036] 1. A partner product is approved by business development.

[0037] 2. Business development adds the partner product through a user interface to manage the mechanism by which a partner product resides in the Partner Product Palette. The data entered include the product name, product information, company information, a product logo, product help documents, html links to training videos, the rank of product use, the industry to which this product belongs, and which data source type this product should use for integration.

[0038] 3. A customer visits the Solutions Network page in the web analytics tool and can view the Partner Product Palette containing partner product logos and sort the partners by product name and by product industry.

[0039] 4. A customer can then drag the partner product logo from the Partner Product Palette to the integrations area and begin the process of integrating that partner's data into the web analytics tool.

[0040] The Figures provide an illustration of a technique for implementing the present invention according to one embodiment.

[0041] FIG. 1 depicts a screen shot of a user interface for adding marketing applications to a web analytics tool. In one embodiment, the user can initiate integration of one or more marketing application(s) 102 by dragging and dropping marketing application(s) 102 from a repository 100 to a representation of the web analytics tool 101.

[0042] In FIG. 2, the user in the process of dragging marketing application 102 to web analytics tool 101.

[0043] FIG. 3 depicts a screen shot of a dialog box 103 for configuring the marketing application that was dragged to the web analytics tool 101. In one embodiment, dialog box 103 presents a wizard that guides the user through the various steps involved, including for example naming the integration, providing details about an account associated with the marketing application, designating an eVar, mapping metrics to events, and reviewing a summary of the setup. Clicking on Next button 104 causes the wizard to proceed through the various steps involved.

[0044] FIG. 4 depicts a screen showing a list 400 of various types of solution partners 401, including information and instructions 402 for each.

[0045] FIG. 5 depicts a screen showing steps 501, 502 for integrating a partner that is not currently part of the solution network: the user can set up a custom data source 503 by defining a specific set of data via a standardized template, or can insert data into the data processing engine via XML request 504. Alternatively, the user can fill out a web-based form 505 for recommending a partner to be added to the network.

[0046] FIG. 6 is a graphical depiction of the relationship between a web analytics tool 101 and various marketing applications 102 associated with partners. For purposes of the following description, marketing applications 102 are also referred to herein simply as partners 102.

[0047] FIG. 7 is a flowchart depicting one method for integrating a partner 102 with a web analytics tool. A user logs in 700, configures data sources 701. The user then configures an import/naming tool referred to as SiteCatalyst Attribute Import and Naming Tool (SAINT) 702. SAINT can be used to bulk-import additional campaign attributes or classifications to the data. Next, the user configures 703 a data warehouse to act as a source and/or destination for data associated with the partner 102. The integration is then complete 704.

[0048] FIG. 8 is a flowchart depicting an enhanced method for integrating a partner with a web analytics tool, according to one embodiment of the present invention.

[0049] A user logs in 801 and selects a partners tab 802 in a user interface, so as to indicate that he or she is interested in integrating a partner 102. A determination is made 803 as to whether the user is a first-time visitor. If so, the user is presented with a wizard to implement configuration 804 of his or her marketing world. First, the user is given an opportunity to identify 805 partners 102 to be integrated. Then, the user is given an option 806 to integrate partners 102 now or later. If the user chooses to do it later, he or she exits the integration mechanism and is presented with a display 807 of the marketing world.

[0050] If the user, in 806, chooses to integrate partners 102 now, steps 808 through 814 are performed in the form of a data sources wizard. First, the user provides 808 a name and email address. Then, he or she chooses 809 the metrics that he or she wishes to apply to the data from the partner 102. These metrics are then mapped 810 with the data available from the partner 102. The user can then choose data dimensions 811 for breaking down the selected metric(s), and the dimensions are mapped 812. The user is presented 813 with a summary of the integration, and can then choose to activate 814 it.

[0051] If the user wishes to integrate 815 another partner 102, he or she is returned to step 805. Otherwise, the integration is complete. The user exits the integration mechanism and is presented with a display 807 of the marketing world.

[0052] If, in 803, the user is not a first-time visitor, he or she is given options to view or edit the marketing world 818, or to view the partner showcase 819, or to view and modify 820 partner integrations, or partner data sources 821, or to control integration tools 822.

[0053] FIGS. 9A and 9B depict two examples of a UI navigation scheme for a software application that implements the present invention. In FIG. 9A, a SiteCatalyst tab 901 provides access to various functions such as reports 902, settings 903, tools 904, permissions 905, data sources 906, message boards 907, and advanced analysis 908. In FIG. 9B, a PartnerWorld tab 909 has been added, providing access to the various functions described in connection with FIG. 8, including marketing world 818, partner showcase 819, viewing and modifying 820 partner integrations to information from one or more partners, partner data sources 821, and integration tools 822.

[0054] FIG. 10 depicts an example of a partners home page 1000, as may be displayed in response to user activation of PartnerWorld tab 909 in FIG. 9B. Page 1000 provides another navigation path to the same functions described in connection with FIG. 8, including marketing world 818, partner showcase 819, viewing and modifying 820 partner integrations to information from one or more partners, partner data sources 821, and integration tools 822. Page 1000 provides additional description of each of these options in an expandable/collapsible segment of the overall display. The currently active segment (marketing world 818) includes a configuration wizard 1102 of configuring the marketing world. Configuration wizard 1102 includes various links for adding 1103, editing 1104, and/or deactivating 1105 partner integrations.

[0055] FIG. 11 depicts a detail of the top section of the partners home page 1000 shown in FIG. 10. In one embodiment, scrolling banner 1101 is included, showing various partner logos. Configuration wizard 1102 includes various links for adding 1103, editing 1104, and/or deactivating 1105 partner integrations. Also provided is a link 1106 to a directory of alliance partners.

[0056] FIG. 12 depicts a detail of the bottom section of the partners home page 1000 shown in FIG. 10. Links to marketing world 818, partner showcase 819, viewing and modifying 820 partner integrations to information from one or more partners, partner data sources 821, and integration tools 822 are included. Adjacent to each link is a description of the associated functionality.

[0057] FIG. 13 depicts an example of step 1 of a configuration wizard (ID partners) 1300 as may be displayed for identifying 805 partners 102. The user selects a partner 102 from list 1301. "Your partners" window 1302 tracks partners identified by the user. This data is used to populate the marketing world display 807.

[0058] FIG. 14 depicts an example of step 2 of a configuration wizard (integrate partners) 1400 as may be displayed for integrating 806 partners 102. The user selects a partner 102 with which to integrate by selecting from list 1401. Information for the selected (highlighted) partner 102 is shown in box 1402. "Integrate Now" button 1403 causes the system to proceed to step 808 to initiate the integration. "Integrate Later" button 1404 causes the system to proceed to marketing world display 807.

[0059] FIGS. 15A, 15B, and 15C depict an example of steps 1 to 3 of a partner data sources wizard, corresponding to steps 808, 809, and 810 of FIG. 8. In FIG. 15A, screen 1501 is shown for step 808. The user can enter a name in field 1502 and an email address in field 1503. In FIG. 15B, screen 1504 is shown for step 809. The user can enter, in fields 1505, one or more metrics to be imported, and can click on checkboxes 1506 to indicate which metric(s) are active. In FIG. 15C, screen 1509 is shown for step 810. For each metric entered in screen 1504, the user can map the metric description 1507 to a metric in the site analysis program, by selecting from pull-down menu 1508.

[0060] FIGS. 16A, 16B, and 16C depict an example of steps 4 to 6 of a partner data sources wizard, corresponding to steps 811, 812, and 813 of FIG. 8. In FIG. 16A, screen 1601 is shown for step 811. In fields 1602, the user can enter one or more data dimensions for breaking down the selected metric(s). Checkboxes 1603 allow the user to specify which dimension(s) are active. In FIG. 16B, screen 1604 is shown for step 812. For each dimension description entered in screen 1601, the user can map the dimension description 1605 to an attribute associated with the site analysis program, by selecting from pull-down menu 1606.

[0061] FIG. 16C depicts screen 1607, where a summary 1608 of data sources is presented, including data and selections made in previous steps. The user can click on "Save/Integrate Another Partner" button 1609 or "Save/Exit" button 1610.

[0062] FIG. 17 depicts an example of a screen 1700 for viewing and editing the customer's marketing world, after partners 102 have been integrated. Screen 1700 is similar to screen 1000 shown in FIG. 10, but includes Edit links 1104 allowing the user to edit a previously-added integration, as well as Deactivate links 1105 allowing the user to deactivate a previously-added integration.

[0063] FIG. 18 depicts a detail of the top section of the screen shown in FIG. 17.

[0064] FIG. 19 depicts an alternative example of a screen 1900 for viewing and editing the customer's marketing world. Here, Edit links 1104 and Deactivate links 1105 are shown in a different configuration than that of FIG. 17. Partners 102 are arranged by marketing operation type 1107. Also, Activate New buttons 1106 allow a user to activate new activations for a particular type 1107 of marketing operation.

[0065] FIG. 20 depicts another alternative example of a screen 2000 for viewing and editing the customer's marketing world. Here, partners 102 are arranged by marketing operation type 1107. Activate New buttons 1106 allow a user to activate new activations for a particular type 1107 of marketing operation.

[0066] FIG. 21 depicts an example of a screen for viewing and editing partner information in a partner showcase as displayed in connection with step 819 of FIG. 8. The user can view partner information in many different ways. He or she can specify a sort order by selecting from options in box 2101, and can select by partner name by clicking on an item in box 2102, and can select by partner industry by clicking on an item in box 2103.

[0067] FIG. 22 depicts an example of a screen 2200 for viewing and activating partner integrations, as may be displayed in connection with step 820 of FIG. 8. The user can see active partner integrations in boxes 2201. The user can activate a new partner integration by selecting a partner 102 from list 2202. A description appears in box 2203, and the user can click on button 2204 to activate the integration.

[0068] FIG. 23 depicts an example of a screen 2300 for showing integration resources, as may be displayed in connection with step 821 of FIG. 8. Various resources 2301 can be shown, to allow the user to access white papers, training modules, and the like to help with partner integration efforts. The user can click on various links and icons to access the resources 2301.

[0069] FIG. 24 depicts an example of a screen for showing integration tools, as may be displayed in connection with step 822 of FIG. 8. Various tools 2401 can be shown, including for example data warehouse and SAINT (an attribute import and naming tool).

[0070] In the above 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.

[0071] 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.

[0072] Some portions of the detailed description are presented in terms of algorithms and symbolic representations of operations on data bits within a computer memory. These algorithmic descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is here, and generally, conceived to be a self-consistent sequence of steps leading to a desired result. The steps are those requiring physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It has proven convenient at times, principally for reasons of common usage, to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like.

[0073] It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the discussion, it is appreciated that throughout the description, discussions utilizing terms such as "processing" or "computing" or "calculating" or "determining" or "displaying" or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system's memories or registers or other such information storage, transmission or display devices.

[0074] The present invention also relates to an apparatus for performing the operations herein. This apparatus may be specially constructed for the required purposes, or it may comprise a general-purpose computer selectively activated or reconfigured by a computer program stored in the computer. Such a computer program may be stored in a computer readable storage medium, such as, but is not limited to, any type of disk including floppy disks, optical disks, CD-ROMs, and magnetic-optical disks, read-only memories (ROMs), random access memories (RAMs), EPROMs, EEPROMs, magnetic or optical cards, or any type of media suitable for storing electronic instructions, and each coupled to a computer system bus.

[0075] The algorithms and displays presented herein are not inherently related to any particular computer, network of computers, 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 a more specialized apparatus to perform the required method steps. The required structure for a variety of these systems appears from the description. 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.

[0076] As will be understood by those familiar with the art, the invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. For example, the particular architectures depicted above are merely exemplary of one implementation of the present invention. The functional elements and method steps described above are provided as illustrative examples of one technique for implementing the invention; one skilled in the art will recognize that many other implementations are possible without departing from the present invention as recited in the claims. Likewise, the particular capitalization or naming of the modules, protocols, features, attributes, or any other aspect is not mandatory or significant, and the mechanisms that implement the invention or its features may have different names or formats. In addition, the present invention may be implemented as a method, process, user interface, computer program product, system, apparatus, or any combination thereof. Accordingly, the disclosure of the present invention is intended to be illustrative, but not limiting, of the scope of the invention, which is set forth in the following claims.

Claims

1. A computer-implemented method for integrating specific partner applications with web analytics applications, the method comprising: displaying, via a graphical interface of a web analytics application executed by a computer, a listing of partner applications available for integration, wherein the web analytics application includes information on a plurality of data metrics, wherein each of the partner applications is associated with a respective web marketing service; receiving, via the web analytics application, user selection of a specific partner application from the listing of partner applications available for integration, wherein the specific partner application tracks web analytics data and provides the web analytics data from a corresponding data source; configuring, by the web analytics application, the specific partner application by: receiving, via the graphical interface, a first input describing the web analytics data to be imported from the specific partner application and selected data metrics from the web analytics application to be integrated with the web analytics data from the specific partner application, and grouping the selected data metrics according to data dimensions specified by a second input received via the graphical interface; integrating, by the web analytics application, corresponding elements of the web analytics data into corresponding data structures storing the data metrics, wherein integrating the web analytics data into the corresponding data structures causes a bidirectional flow of the web analytics data between a data source of the specific partner application and the corresponding data structures of the web analytics application; and generating, by the web analytics application, output indicating that the corresponding elements of the web analytics data have been successfully integrated.

2. The method of claim 1, wherein receiving the user selection of the specific partner application comprises receiving a dragging input that moves a representation of the specific partner application from (i) a first portion of the graphical interface displaying a listing of partner applications compatible with the web analytics applications to (ii) a second portion of the graphical interface displaying the listing of partner applications available for integration.

3. The method of claim 2, further comprising providing a web-based form for recommending a web analytics partner application to be added to the partner applications compatible with the web analytics applications.

4. The method of claim 1, wherein the listing of partner applications available for integration is specific to a current user of the web analytics application.

5. The method of claim 1, further comprising identifying, based on input received via the graphical interface prior to receiving user selection of the specific partner application, associations between data sources and the partner applications available for integration.

6. The method of claim 1, wherein grouping the selected data metrics according to the data dimensions comprises: accessing a mapping between (i) a data dimension description provided by a user and (ii) a specific data dimension from the data dimensions; and assigning, based on the mapping, a portion of the selected data metrics to a group for the specific data dimension.

7. The method of claim 1, further comprising performing the bidirectional flow of the web analytics data between the data source of the specific partner application and the corresponding data structures of the web analytics application by: receiving additional web analytics data from the specific partner application; tracking visitor information for a website; selecting a portion of the visitor information based on the additional web analytics data; and exporting, to the specific partner application, the selected portion of the visitor information for storage in the data source.

8. A computing system for integrating specific partner applications with web analytics applications, the computing system comprising: a display device configured for displaying, via a graphical interface of a web analytics application, a listing of partner applications available for integration, wherein the web analytics application includes information on a plurality of data metrics, wherein each of the partner applications is associated with a respective web marketing service; an input device configured for receiving, using the graphical interface, user selection of a specific partner application from the listing of partner applications available for integration, wherein the specific partner application tracks web analytics data and provides the web analytics data from a corresponding data source; and a processing device configured for executing the web analytics application and thereby performing operations comprising: configuring the specific partner application by: (i) receiving, via the graphical interface, a first input describing the web analytics data to be imported from the specific partner application and selected data metrics from the web analytics application to be integrated with the web analytics data from the specific partner application, and (ii) grouping the selected data metrics according to data dimensions specified by a second input received via the graphical interface, integrating corresponding elements of the web analytics data into corresponding data structures storing the data metrics, wherein integrating the web analytics data into the corresponding data structures causes a bidirectional flow of the web analytics data between a data source of the specific partner application and the corresponding data structures of the web analytics application, and generating output indicating that the corresponding elements of the web analytics data have been successfully integrated.

9. The computing system of claim 8, wherein receiving the user selection of the specific partner application comprises receiving a dragging input that moves a representation of the specific partner application from (i) a first portion of the graphical interface displaying a listing of partner applications compatible with the web analytics applications to (ii) a second portion of the graphical interface displaying the listing of partner applications available for integration.

10. The computing system of claim 9, the operations further comprising configuring the display device to display a web-based form, the web-based form configured for recommending a web analytics partner application to be added to the partner applications compatible with the web analytics applications.

11. The computing system of claim 8, wherein the listing of partner applications available for integration is specific to a current user of the web analytics application.

12. The computing system of claim 8, the operations further comprising identifying, based on input received via the graphical interface prior to receiving user selection of the specific partner application, associations between data sources and the partner applications available for integration.

13. The computing system of claim 8, wherein grouping the selected data metrics according to the data dimensions comprises: accessing a mapping between (i) a data dimension description provided by a user and (ii) a specific data dimension from the data dimensions; and assigning, based on the mapping, a portion of the selected data metrics to a group for the specific data dimension.

14. The computing system of claim 8, the operations further comprising performing the bidirectional flow of the web analytics data between the data source of the specific partner application and the corresponding data structures of the web analytics application by: receiving additional web analytics data from the specific partner application; tracking visitor information for a website; selecting a portion of the visitor information based on the additional web analytics data; and exporting, to the specific partner application, the selected portion of the visitor information for storage in the data source.

15. A non-transitory computer readable storage medium comprising program instructions stored thereon for integrating specific partner applications with web analytics applications, wherein the program instructions are executable by a computing system to perform operations comprising: displaying, via a graphical interface of a web analytics application executed by a computer, a listing of partner applications available for integration, wherein the web analytics application includes information on a plurality of data metrics, wherein each of the partner applications is associated with a respective web marketing service; receiving, via the web analytics application, user selection of a specific partner application from the listing of partner applications available for integration, wherein the specific partner application tracks web analytics data and provides the web analytics data from a corresponding data source; configuring, by the web analytics application, the specific partner application by: receiving, via the graphical interface, a first input describing the web analytics data to be imported from the specific partner application and selected data metrics from the web analytics application to be integrated with the web analytics data from the specific partner application, and grouping the selected data metrics according to data dimensions specified by a second input received via the graphical interface; integrating, by the web analytics application, corresponding elements of the web analytics data into corresponding data structures storing the data metrics, wherein integrating the web analytics data into the corresponding data structures causes a bidirectional flow of the web analytics data between a data source of the specific partner application and the corresponding data structures of the web analytics application; and generating, by the web analytics application, output indicating that the corresponding elements of the web analytics data have been successfully integrated.

16. The non-transitory computer readable storage medium of claim 15, wherein receiving the user selection of the specific partner application comprises receiving a dragging input that moves a representation of the specific partner application from (i) a first portion of the graphical interface displaying a listing of partner applications compatible with the web analytics applications to (ii) a second portion of the graphical interface displaying the listing of partner applications available for integration. wherein the operations further comprise providing a web-based form for recommending a web analytics partner application to be added to the partner applications compatible with the web analytics applications.

17. The non-transitory computer readable storage medium of claim 15, wherein the listing of partner applications available for integration is specific to a current user of the web analytics application.

18. The non-transitory computer readable storage medium of claim 15, further comprising identifying, based on input received via the graphical interface prior to receiving user selection of the specific partner application, associations between data sources and the partner applications available for integration.

19. The non-transitory computer readable storage medium of claim 15, wherein grouping the selected data metrics according to the data dimensions comprises: accessing a mapping between (i) a data dimension description provided by a user and (ii) a specific data dimension from the data dimensions; and assigning, based on the mapping, a portion of the selected data metrics to a group for the specific data dimension.

20. The non-transitory computer readable storage medium of claim 15, the operations further comprising performing the bidirectional flow of the web analytics data between the data source of the specific partner application and the corresponding data structures of the web analytics application by: receiving additional web analytics data from the specific partner application; tracking visitor information for a website; selecting a portion of the visitor information based on the additional web analytics data; and exporting, to the specific partner application, the selected portion of the visitor information for storage in the data source.