EP2223271A1 - System zur verfolgung der exponierung gegenüber online-werbung - Google Patents

System zur verfolgung der exponierung gegenüber online-werbung

Info

Publication number
EP2223271A1
EP2223271A1 EP07869392A EP07869392A EP2223271A1 EP 2223271 A1 EP2223271 A1 EP 2223271A1 EP 07869392 A EP07869392 A EP 07869392A EP 07869392 A EP07869392 A EP 07869392A EP 2223271 A1 EP2223271 A1 EP 2223271A1
Authority
EP
European Patent Office
Prior art keywords
advertisement
tag
tracking
campaign
creative
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
EP07869392A
Other languages
English (en)
French (fr)
Other versions
EP2223271A4 (de
Inventor
Nathalie Criou
Deepak Jindal
Brian Axe
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Google LLC
Original Assignee
Google LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Google LLC filed Critical Google LLC
Publication of EP2223271A1 publication Critical patent/EP2223271A1/de
Publication of EP2223271A4 publication Critical patent/EP2223271A4/de
Ceased legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0241Advertisements
    • G06Q30/0242Determining effectiveness of advertisements
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising

Definitions

  • This disclosure is related to information management.
  • the world- wide web has become an important source of information for many users. For example, users can use the world-wide web to retrieve news, entertainment, electronic messages, weather, etc. Publishers who serve such information to users often derive income in order to continue to produce this information from advertisements served to users with the information. Advertisers pay publishers to place advertisements on a website, and often pay based upon number of exposures (e.g., an opportunity to see an advertisement), click-through rates associated with the advertisement, conversions (e.g., sales of the product based upon the exposure), or combinations thereof.
  • number of exposures e.g., an opportunity to see an advertisement
  • click-through rates associated with the advertisement e.g., conversions (e.g., sales of the product based upon the exposure), or combinations thereof.
  • Traditional ways to measure the effectiveness of an advertisement include installing cookies on user computers to track the activities of the users.
  • a group of users can be recruited and compensated to install tracking software on the user computer.
  • the tracking software can be configured to match advertisements to any a number of tracked advertisements.
  • this can be processor intensive based upon the type of advertisement being tracked. For example, graphical advertisements (e.g., images) have required pixel by pixel comparison between a retrieved advertisement and a bank of tracked advertisements.
  • Example methods can include receiving a request to serve an advertisement to a user computer; retrieving an advertisement from an advertisement store; inserting a tracking tag into the advertisement to generate a tagged advertisement, the tracking tag uniquely identifying the advertisement, and the tracking tag being operable to be read by a tracking program residing on the user computer; and communicating the tagged advertisement to the user computer.
  • An example system for tracking tagged advertisements can include an interface, a parsing module, a tag recognition module and a logger.
  • the interface can receive an advertisement through a user computer.
  • the parsing module can parse the advertisement to identify a tag associated with the advertisement.
  • the tag recognition module can compare the tag to tracked tags from a tracked tag store.
  • the logger can log an exposure based upon the tag matching a tracked tag from the tracked tag store, the exposure being logged in a tracking log.
  • An example system for providing tagged advertisements can include an interface, an advertisement retrieval module, and a tagging module.
  • the interface can receive a request to serve an advertisement to a user computer.
  • the advertisement retrieval module can retrieve an advertisement from an advertisement store.
  • the tagging module can modify the advertisement by adding a tracking tag to the advertisement to generate a tagged advertisement, the tracking tag uniquely identifying the advertisement.
  • the interface can also communicate the tagged advertisement in response to the request.
  • implementations are disclosed, including implementations directed to systems, methods, apparatuses, computer-readable mediums and user interfaces.
  • FIG. 1 is a block diagram of an example exposure tracking system.
  • FIG. 2 is a block diagram of an example advertising server of an exposure tracking system.
  • FIG. 3 is a flowchart of an example method for tracking exposures to online advertisements.
  • FIG. 4 is a flowchart of an example method for logging exposures to online advertisements.
  • Exposure tracking systems can be used to track exposure of users to online advertisements.
  • an advertising server can insert tags into the advertisements that the server serves to users.
  • Tracking programs installed on a user computer can parse the advertisement to identify the tracking tag associated with the advertisement.
  • the tracking tag can enable the tracking programs to uniquely identify the advertisement with minimal processing power.
  • the tracking program can then log the exposure based upon identifying the tracking tag as a tag that is being tracked.
  • FIG. 1 is a block diagram of an example exposure tracking system 100.
  • the exposure tracking system 100 can include a user computer 110 having an exposure tracking system 120, a publisher 130, an ad server 140, an aggregated tracking data server 150, and a communication network 160.
  • the user computer 110 can include a browser used to transmit universal resource locator (URL) requests and to receive web pages, for example, encoded in hypertext markup language (html).
  • URL universal resource locator
  • the browser can enable a user to browse various web pages provided by various publishers 130 using, for example, web servers.
  • the publishers 130 can be funded using various mechanisms. For example, many publishers fund the publishing of content using advertisement based mechanisms. In such arrangements, the publishers can sell advertising space on their website to advertisers. In some such arrangements, rather than attempting to sell advertising space directly to advertisers, the publishers 130 can use a mediator to connect advertisers to publishers using, e.g., an advertising server 140.
  • the advertising server 140 can match demographic or other information associated with a publisher or publisher's content to a target criteria (e.g., demographic) associated with the advertiser product or advertisement. Other characteristics of the advertiser or publisher can be used determine whether an advertisement is an appropriate match for the publisher. For example, a publisher can require a minimum payment for an advertising space, while an advertiser might not be willing to pay more than a certain amount for advertising space.
  • the advertising server 140 can insert a tag into advertisements served to the user.
  • the advertising server 140 can insert a creative tag into the advertisement.
  • the creative tag can uniquely identify a creative associated with the advertisement served to the user.
  • the advertiser 140 can insert a campaign tag into the advertisement.
  • the campaign tag can uniquely identify the campaign with which the advertisement is associated. The advertising server 140 can thereby serve a tagged advertisement.
  • the tagged advertisement is served to the publisher 130 for insertion into the web page prior to serving the web page to the user computer 110. In other implementations, the tagged advertisement is served directly to the user computer 110 for insertion into the web page by the user computer 110 or a browser associated with the user computer.
  • a tracking program 120 installed on the user computer can parse the advertisement to determine whether the advertisement is a tagged advertisement. In some implementations, if the advertisement is a tagged advertisement, the tracking program can extract the tag and compare the tag to a plurality of tracked advertisement tags. If the tag matches one of the tracked advertisement tags, an exposure can be logged. In other implementations, all tags can be extracted and logged as an exposure. In various implementations, a logged exposure can include the tag as well as a user identification and a time stamp associated with the exposure.
  • the tracking program 120 can periodically transmit an exposure log to an aggregated tracking data server 150.
  • the exposure logs can be analyzed, for example, to determine which users have viewed which advertisements. Users can then be surveyed about the impressions they took from the exposure. In some examples, such surveys can be used to identify the effectiveness of an advertisement. While reference has been made to serving advertising, other forms of content can be served (and tagged) in accordance with the teachings described herein.
  • FIG. 2 is a block diagram of an example advertising server 200 for an exposure tracking system.
  • the advertising server 200 can include an interface 210, an advertisement retrieval module 220, and a tagging module 230.
  • the advertising server 200 can include an advertisement data store. However, in the depicted implementations, the advertisement data store is shown separately from the advertising server.
  • the interface 210 can be operable to receive a request for an advertisement from a publisher 250.
  • the interface 210 can receive a request for an advertisement from a user computer (e.g., based upon a browser on the user computer loading a page which directs the computer to retrieve an advertisement from the advertisement server).
  • the request can include parameters for the advertisement, such as, for example, dimension/size, price, and demographic information, among others.
  • the interface 210 can forward the request to an advertisement retrieval module 220.
  • the advertisement retrieval module 220 can retrieve an advertisement from an advertisement data store 240.
  • the retrieved advertisement for example, can be an advertisement which best matches the requirements of the publisher or user computer.
  • the advertisement retrieval module can provide the retrieved advertisement to a tagging module 230.
  • the tagging module 230 can add a tag to the advertisement to generate a tagged advertisement.
  • the tag for example, can include a creative tag.
  • the creative tag can uniquely identify the creative associated with the advertisement.
  • the tag can include a campaign tag.
  • the campaign tag can uniquely identify the campaign associated with the advertisement.
  • a combination of the campaign tag and the creative tag can be used to track the advertisement.
  • Tagging can include appending the tag to the advertisement, within the advertisement, or merely associating the tag to the advertisement.
  • the tagged advertisement generated by the tagging module 230 can be provided to the interface 210.
  • the interface 210 can communicate the tagged advertisement to a publisher.
  • the interface 210 can provide the advertisement directly to a user computer.
  • FIG. 3 is a flowchart of an example method 300 for tracking exposures to online advertisements.
  • a request is received.
  • the request can be received, for example, by an interface (e.g., interface 210 of FIG. 2).
  • the request can be received from a publisher prior to, or concurrent with serving a page to a user.
  • the request can be received directly from the user after the user has loaded a page from the publisher.
  • the request can include any of a size/dimension, price, demographic information, or combinations thereof. Other parameters can be included.
  • an advertisement can be retrieved.
  • the advertisement can be retrieved, for example, by an advertisement retrieval module (e.g., advertisement retrieval module 220 of FIG. 2).
  • advertisements can be retrieved from an external advertisement data store.
  • advertisements can be retrieved from an internal advertisement data store.
  • the retrieved advertisement can be an advertisement that best matches the parameters provided (e.g., size, format, price, demographic information, etc.).
  • certain advertisements might be excluded by some parameters, even though the advertisement matches other parameters. For example, if the publisher is asking for a small advertisement, a large advertisement would not be appropriate for serving to the user, even though the large advertisement may be the advertisement that best matches the rest of the parameters.
  • a tagged advertisement is generated.
  • the tagged advertisement can be generated, for example, by a tagging module (e.g., tagging module 230 of FIG. 2).
  • the tagged advertisement can include a tracking tag.
  • the tracking tag can include a creative tag and/or a campaign tag.
  • the creative tag can uniquely identify an advertisement creative.
  • the campaign tag can uniquely identify an advertisement campaign. Together the creative and campaign tags can be used to identify the creative served to the user and the campaign associated with the advertisement.
  • the tagged advertisement can be communicated.
  • the tagged advertisement can be communicated, for example, by an interface (e.g., interface 210 of FIG. 2).
  • the tagged advertisement can be communicated to a publisher prior to a web page being served to a user computer.
  • the tagged advertisement can be communicated to a user computer after the user computer has loaded the web page, and the web page has instructed the user computer to retrieve an advertisement from an advertisement server. Therefore, the tagged advertisement does not include a cookie and enables a tracking program on the user computer to quickly and easily identify the advertisement.
  • advertisers can easily adjust or otherwise change an advertisement without affecting the tracking of the advertisement because the tag is added at the advertising server rather than the tracking program matching the advertisement to a database of tracked advertisements.
  • FIG. 4 is a flowchart of an example method 400 for logging exposures to online advertisements.
  • an advertisement is received.
  • the advertisement can be received, for example, by a user computer (user computer 110 of FIG. 1) or a tracking program (e.g., tracking program 120 of FIG. 1).
  • the advertisement can be received for example, from a publisher with a requested web page.
  • the advertisement can be received, for example, from an advertising server.
  • the web page can include program code operable to cause the computer to request and advertisement to be served to the computer from an advertisement server.
  • the advertisement can be parsed.
  • the advertisement can be parsed, for example, by tracking software (e.g., tracking program 120 of FIG. 1) included on a user computer.
  • the advertisement can be parsed, for example, to determine whether the advertisement includes a tag.
  • the tag can be identified, by examining header or encoding information included with the advertisement. If there are any tags associated with an advertisement, the tags can be extracted.
  • a determination of whether the advertisement is tracked is made.
  • the determination of whether the advertisement is tracked can be made, for example, by tracking software (e.g., tracking program 120 of FIG. 1).
  • the determination can be made by comparing the extracted tag information with a data store including each of the tags being tracked by the tracking software. For example, if a tag matches any of the tags in the data store, the advertisement is a tracked advertisement.
  • an exposure is logged based upon the determination.
  • the view can be logged, for example, by tracking software (e.g., tracking program 120 of FIG. 1).
  • the exposure can be logged based upon whether it matches one of the tags being tracked by the tracking software.
  • a logged exposure can include storing any tags associated with the tagged advertisement, storing a user identification, and storing a time stamp associated with the exposure. Exposures logged using tracking tags do not require cookies, nor do they require processing power to perform a pixel by pixel comparison. Moreover, changed advertisements can be tracked, even though the creative associated with the advertisement may have been changed between the time the tracking was initiated and the time the advertisement is served to the user.
  • the tracking information collected by the tracking program can be anonymized impression data related to exposures.
  • logs related to browsing activity can be anonymized to remove personal information related to browsing activities and the anonymized information can be provided to a collection agent (e.g., aggregated tracking data server 150 of FIG. 1).
  • the tracking agent e.g., tracking module 120 of FIG. 1
  • Each device can be represented as an anonymous entity, and account information can be associated with location information that has no more granularity than, for example, a zip code.
  • the tracking agent can include an anonymization engine that can, for example, be utilized to remove any personal identifiable information, and reduce granularity to a particular region, e.g., a zip code, or city, etc.
  • the anonymization engine can receive input from the user controlling the level of tracking information forwarded to a collection agent (e.g., aggregated tracking data server 150 of FIG. 1), or can block tracking information from being sent to the collection agent in its entirety.
  • an accounting engine can provide anonymized account data, e.g., a non-identifiable account profile associated with each set of log data from each device (e.g., user computer 110 of FIG. 1).
  • Example anonymized account data can include a user demographic, e.g., age, browsing habits, connection bandwidth, etc.
  • Embodiments of the subject matter and the functional operations described in this specification can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structures disclosed in this specification and their structural equivalents, or in combinations of one or more of them.
  • Embodiments of the subject matter described in this specification can be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a tangible program carrier for execution by, or to control the operation of, data processing apparatus.
  • the tangible program carrier can be a propagated signal or a computer readable medium.
  • the propagated signal is an artificially generated signal, e.g., a machine generated electrical, optical, or electromagnetic signal, that is generated to encode information for transmission to suitable receiver apparatus for execution by a computer.
  • the computer readable medium can be a machine readable storage device, a machine readable storage substrate, a memory device, a composition of matter effecting a machine readable propagated signal, or a combination of one or more of them.
  • data processing apparatus encompasses all apparatus, devices, and machines for processing data, including by way of example a programmable processor, a computer, or multiple processors or computers.
  • the apparatus can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them.
  • a computer program (also known as a program, software, software application, script, or code) can be written in any form of programming language, including compiled or interpreted languages, or declarative or procedural languages, and it can be deployed in any form, including as a stand alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
  • a computer program does not necessarily correspond to a file in a file system.
  • a program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code).
  • a computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.
  • the processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output.
  • the processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit).
  • processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer.
  • a processor will receive instructions and data from a read only memory or a random access memory or both.
  • the essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data.
  • a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks.
  • mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks.
  • a computer need not have such devices.
  • a computer can be embedded in another device, e.g., a mobile telephone, a personal digital assistant (PDA), a mobile audio or video player, a game console, a Global Positioning System (GPS) receiver, to name just a few.
  • PDA personal digital assistant
  • GPS Global Positioning System
  • Computer readable media suitable for storing computer program instructions and data include all forms of non volatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto optical disks; and CD ROM and DVD ROM disks.
  • semiconductor memory devices e.g., EPROM, EEPROM, and flash memory devices
  • magnetic disks e.g., internal hard disks or removable disks
  • magneto optical disks e.g., CD ROM and DVD ROM disks.
  • the processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
  • embodiments of the subject matter described in this specification can be implemented on a computer having a display device, e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor, for displaying information to the user and a keyboard and a pointing device, e.g., a mouse or a trackball, by which the user can provide input to the computer.
  • a display device e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor
  • keyboard and a pointing device e.g., a mouse or a trackball
  • Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback, e.g., visual feedback, auditory feedback, or tactile feedback; and input from the user can be received in any form, including acoustic, speech, or tactile input.
  • Embodiments of the subject matter described in this specification can be implemented in a computing system that includes a back end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a client computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the subject matter described is this specification, or any combination of one or more such back end, middleware, or front end components.
  • the components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network ("LAN”) and a wide area network (“WAN”), e.g., the Internet.
  • the computing system can include clients and servers.
  • a client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client server relationship to each other.

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
EP07869392A 2007-12-17 2007-12-17 System zur verfolgung der exponierung gegenüber online-werbung Ceased EP2223271A4 (de)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2007/087824 WO2009078861A1 (en) 2007-12-17 2007-12-17 Online advertisement exposure tracking system

Publications (2)

Publication Number Publication Date
EP2223271A1 true EP2223271A1 (de) 2010-09-01
EP2223271A4 EP2223271A4 (de) 2012-08-15

Family

ID=40795804

Family Applications (1)

Application Number Title Priority Date Filing Date
EP07869392A Ceased EP2223271A4 (de) 2007-12-17 2007-12-17 System zur verfolgung der exponierung gegenüber online-werbung

Country Status (3)

Country Link
EP (1) EP2223271A4 (de)
AU (1) AU2007362608B2 (de)
WO (1) WO2009078861A1 (de)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10049391B2 (en) 2010-03-31 2018-08-14 Mediamath, Inc. Systems and methods for providing a demand side platform
US9135655B2 (en) 2010-03-31 2015-09-15 Mediamath, Inc. Systems and methods for using server side cookies by a demand side platform
US10223703B2 (en) 2010-07-19 2019-03-05 Mediamath, Inc. Systems and methods for determining competitive market values of an ad impression
US9646095B1 (en) 2012-03-01 2017-05-09 Pathmatics, Inc. Systems and methods for generating and maintaining internet user profile data
US9059950B2 (en) 2012-11-02 2015-06-16 Apple Inc. Delivering and tracking viral invitational content
US9588675B2 (en) 2013-03-15 2017-03-07 Google Inc. Document scale and position optimization
US10467659B2 (en) 2016-08-03 2019-11-05 Mediamath, Inc. Methods, systems, and devices for counterfactual-based incrementality measurement in digital ad-bidding platform
US10354276B2 (en) 2017-05-17 2019-07-16 Mediamath, Inc. Systems, methods, and devices for decreasing latency and/or preventing data leakage due to advertisement insertion
US10678818B2 (en) 2018-01-03 2020-06-09 Snap Inc. Tag distribution visualization system
US11348142B2 (en) 2018-02-08 2022-05-31 Mediamath, Inc. Systems, methods, and devices for componentization, modification, and management of creative assets for diverse advertising platform environments
US11182829B2 (en) 2019-09-23 2021-11-23 Mediamath, Inc. Systems, methods, and devices for digital advertising ecosystems implementing content delivery networks utilizing edge computing

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6434614B1 (en) * 1998-05-29 2002-08-13 Nielsen Media Research, Inc. Tracking of internet advertisements using banner tags

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070038614A1 (en) * 2005-08-10 2007-02-15 Guha Ramanathan V Generating and presenting advertisements based on context data for programmable search engines
US20060026062A1 (en) * 2004-07-30 2006-02-02 Collins Robert J System and method for optimizing advertising marketplace operations
US7949561B2 (en) * 2004-08-20 2011-05-24 Marketing Evolution Method for determining advertising effectiveness
US9558498B2 (en) * 2005-07-29 2017-01-31 Excalibur Ip, Llc System and method for advertisement management
US10380602B2 (en) * 2005-12-24 2019-08-13 Rich Media Club, Llc System and method for creation, distribution and tracking of advertising via electronic networks

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6434614B1 (en) * 1998-05-29 2002-08-13 Nielsen Media Research, Inc. Tracking of internet advertisements using banner tags

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
See also references of WO2009078861A1 *

Also Published As

Publication number Publication date
AU2007362608B2 (en) 2014-01-09
WO2009078861A1 (en) 2009-06-25
AU2007362608A1 (en) 2009-06-25
EP2223271A4 (de) 2012-08-15

Similar Documents

Publication Publication Date Title
US11716402B2 (en) Reducing redirects
AU2007362608B2 (en) Online advertisement exposure tracking system
US8510167B2 (en) Consolidated content item request for multiple environments
US9619117B2 (en) Multi-channel conversion path position reporting
US11657416B2 (en) Systems and methods for determining segments of online users from correlated datasets
US8898290B2 (en) Personally identifiable information independent utilization of analytics data
US20090024700A1 (en) Ad targeting using reference page information
US10007645B2 (en) Modifying the presentation of a content item
US20120259841A1 (en) Priority dimensional data conversion path reporting
US20130085837A1 (en) Conversion/Non-Conversion Comparison
KR20060130029A (ko) 컴퓨터 네트워크를 통한 광고 캠페인의 최적화 방법
WO2013022460A1 (en) Conversion type to conversion type funneling
US8612291B2 (en) Optimized display of ad landing page
US9098857B1 (en) Determining effectiveness of advertising campaigns
US20240248825A1 (en) Contribution incrementality machine learning models
US8266167B2 (en) System and method for scenerio based content delivery
US20230017558A1 (en) Systems and methods for detecting data leakage of online content
US8255523B1 (en) Server side disambiguation of ambiguous statistics

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20100628

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HU IE IS IT LI LT LU LV MC MT NL PL PT RO SE SI SK TR

AX Request for extension of the european patent

Extension state: AL BA HR MK RS

DAX Request for extension of the european patent (deleted)
A4 Supplementary search report drawn up and despatched

Effective date: 20120716

RIC1 Information provided on ipc code assigned before grant

Ipc: G06Q 30/00 20120101AFI20120710BHEP

17Q First examination report despatched

Effective date: 20120816

REG Reference to a national code

Ref country code: DE

Ref legal event code: R003

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION HAS BEEN REFUSED

18R Application refused

Effective date: 20140204

P01 Opt-out of the competence of the unified patent court (upc) registered

Effective date: 20230519