专利汇可以提供Advertising and web site feedback systems and methods专利检索,专利查询,专利分析的服务。并且This disclosure relates to systems for aggregating and communicating media data, which may include advertising-related data and web site data. In various embodiments, the system includes a display showing the respective bounce rates associated with web site traffic received from multiple different traffic sources. The system may also indicate how many users (for example, from one or more particular traffic sources) execute one or more desired actions during their visit to the web site. This may allow an advertiser to quickly assess the performance of each component of an advertising campaign, and to modify the campaign to increase its effectiveness and to reduce the overall cost of the advertising campaign by discontinuing or modifying ineffective components of the campaign.,下面是Advertising and web site feedback systems and methods专利的具体信息内容。
I claim:
Modern marketing campaigns commonly include running a variety of different types of advertisements that operate together to drive a desired customer behavior (e.g., the purchase of a particular product, such as an automobile). Such advertisements may include, for example, television and radio advertisements, conventional print advertising (e.g., newspapers, magazines, and direct mail), e-mail advertising, billboards, and online advertising. Online advertising may include various forms of advertisements, such as web site banner ads, advertisements placed in online video content (e.g., online videos and video game play), keyword-generated search results advertisements, and the like. Online ads may take the form of audio, video, images, and/or text in order to vary the types of content in an effort to target receptive audiences.
Because each different component of a marketing campaign requires money, time, and effort to maintain, it is desirable for advertisers to be able to quickly assess the effectiveness of each component of the campaign in producing the desired customer behavior. Unfortunately, there is currently no adequate system for doing so.
In light of the above, there is currently a need for a system that: (1) quickly determines which particular components of a marketing campaign are the most successful in producing a particular type of customer behavior; and (2) displays this information to a user in a format that doesn't take an excessive amount of time to understand. Such a system would be useful in allowing advertisers to quickly adjust their marketing campaign to maximize its effectiveness and to minimize the costs associated with the campaign.
A computer system, according to various embodiments, is adapted for: (1) receiving first traffic source information indicating that a first plurality of user visits to a web site originated from a first traffic source; (2) receiving a first bounce rate percentage associated with the first plurality of user visits to the web site; (3) displaying, on a display medium, an indication of the first traffic source; (4) displaying, on the display medium, an indication of the first bounce rate adjacent the indication of the first traffic source; (5) receiving second traffic source information indicating that a second plurality of user visits to the web site originated from a second traffic source; (6) receiving a second bounce rate percentage associated with the second plurality of user visits to the web site; (7) displaying, on the display medium, an indication of the second traffic source; and (8) displaying, on the display medium, an indication of the second bounce rate adjacent the indication of the second traffic source.
A system, according to particular embodiments, is adapted for: (1) receiving first traffic source information indicating that a first plurality of user visits to a web site originated from a first traffic source; (2) receiving information regarding which of the first plurality of user visits included one or more particular user activities; (3) displaying, on a display medium, an indication of the first traffic source; and (4) displaying, on the display medium, an indication of how many of the first plurality of user visits included one or more particular user activities.
A system, according to certain embodiments, is adapted for: (1) means for receiving media data associated with a display of an advertisement to a user; (2) means for receiving, subsequent to the user viewing the advertisement, web site data associated with a visit of the user to a web site associated with the advertisement; (3) means for using the web site data to determine whether a conversion occurred during the visit of the user to the advertiser web site; and (4) means for displaying an indicator, on a display medium, indicating whether the conversion occurred during the visit of the user to the advertiser web site.
The present invention now will be described more fully hereinafter with reference to the accompanying drawings, in which some, but not all implementations are shown. Indeed, these implementations may be embodied in many different forms and should not be construed as limited to the implementations set forth herein; rather, these implementations are provided so that this disclosure will satisfy applicable legal requirements. Like numbers refer to like elements throughout.
Overview
The present disclosure describes, for example, advertising and web site feedback systems and methods that provide feedback via graphical user interfaces. In some implementations, the user interfaces are adapted to display detailed information regarding the usage of a particular web site. In particular, the user interfaces may show, for example: (1) how many users visited the web site during a particular period; (2) the traffic source (e.g., the particular advertisement, advertising medium, type of advertising medium, and/or other traffic source) that lead the user to visit the web site; and (3) whether the user completed a set of desired activities while using the web site (and/or after using the web site). In particular embodiments, the completion of such desired activities is regarded as “a conversion”.
The criteria associated with the occurrence of a conversion may be defined, for example, by an advertiser or marketing agency. As a particular example, a conversion may be defined to occur when a user: (1) enters their contact information on a web site; (2) requests additional information for a particular product; (3) purchases a particular product; or (3) takes a combination of several actions, such as entering their contact information on a web site and requesting a brochure for a particular product.
In particular embodiments, the user interface may also display a bounce rate for users visiting the web site. In particular embodiments, a separate bounce rate may be displayed for each different source of traffic to the web site. For example, as shown in
As described in various examples, below, a user interface may display this information in any of a variety of suitable ways. In a particular embodiment, the user interface displays the information as a percentage of users who quickly left the web site after visiting the web site (e.g., after being directed to the web site by a particular type of advertisement). As shown in
System Setup
In some implementations, the advertisement(s) 102 may be automatically embedded in one or more web pages (accessible to the user(s) 101 on the Internet) by an advertising server 109. The advertisement(s) 102 may be communicated to the user via one or more networks, such as a local area network (LAN), wide area network (WAN), the Internet, television or radio distribution systems (e.g., a satellite delivery system, hybrid fiber-coax system, etc.) or a combination thereof, that connects the user(s) 101 with providers of the advertisements 102. One or more components, such as web browsers, televisions, radios, or the like, may be used to facilitate viewing of the advertisement(s) 102.
Media data associated with the advertisement(s) 102 may be directly, or indirectly, maintained, and/or tracked by, for example, an advertising server 109. In some implementations, the advertising server 109 may have placed the advertisement(s) 102 on a published medium. For example, a web page that displays the advertisement(s) 102 may include embedded information, such as links, meta-information, and/or machine executable instructions that enables the advertising server 109 to place the advertisement(s) 102 on the web page. In some implementations, the media data is collected in whole or in part by the advertising server 109 from the embedded information.
In some implementations, the media data is tracked and/or collected by other servers in addition to, or in place of, the advertising server 109. For example, other servers associated with the advertisement(s) 102 may track and/or collect media data, such as from servers managing web sites where advertisements are placed. For example, social media site servers and/or other third party servers may also, or alternatively, collect media data although the embodiment shown in
In some implementations, the media data may include data received from embedded information that indicates which advertisement(s) 102 the user(s) 101 viewed and/or selected (including, for example, impressions, click-throughs, etc.), the number of advertisements(s) 102 viewed over a period of time, the time the advertisements(s) 102 were viewed and/or selected, and/or the page location of the advertisements(s) 102. The media data may identify a traffic source associated with the advertisement(s) 102 selected and/or viewed by a user. For example, the traffic source may characterize the advertisement, such as whether the advertisement is an online banner advertisement, paid media or non-paid media, e-mail media, a web site search engine advertisement, an online advertisement on a third party website, an online advertisement on a website of an entity affiliated with the advertiser's web site, or the like.
The media data may also include information about a user through the use of one or more cookies written or updated on a user's computer using the embedded information. For example, the media data may include details about the computer and browser, such as the browser type, the user's rough location (identified by their external IP address), the operating system of the user, and the like. Additionally, media data may include information provided by an advertiser and/or web site administrator, including, for example, the cost of the placed advertisement(s) 102 and the dates on which the costs were incurred.
As an example, a user may, while ‘surfing’ the Internet, access a web page on a website. When that occurs, a request may be made to a web server (e.g., a web server associated with the website) to display the page, for example, on the user's web browser. Embedded information on the web page may include a code, script, or the like (for example, JavaScript) that is executed. The embedded information may result in the writing or updating of a cookie on the user's browser, and the web page may transmit media data to an advertising server or the like, such as the advertising server 109 shown in
In some implementations, the information collected by the advertising server 109 may include media data. The media data may be transmitted 117 to a feedback tool 108 from the advertising server 109. In some implementations, the media data may be automatically forwarded to the feedback tool 108 from the advertising server 109 according to a predetermined schedule, such as on an hourly or daily basis. In some implementations, the media data may be retrieved by the feedback tool 108 from the advertising server 109 upon request or on a regular basis (e.g., an hourly or daily basis). Additionally, in some implementations, the feedback tool 108 may receive media data directly from an advertiser and/or web site administrator. Such data may include, for example, the spending amount for the placed advertisement(s) 102 and the dates on which the spending occurred.
User(s) of the system 101 may access one or more web sites having one or more web pages, including a particular web site 104 that is associated with advertisement(s) 102 that direct users to the web site 104. In particular embodiments, the web site 104 is considered to be “associated with” the advertisement(s) 102 because the advertisement(s) 102 encourage the user(s) 101 to access the web site 104.
As an example, the advertisement(s) 102 may be for a product or service sold or described on the web site 204. In some implementations, the user(s) 101 may be forwarded 103 to the web site 104 as a result of selecting (e.g., “clicking”) on an online advertisement published on a web page. For example, the online advertisement may include a link, banner ad, video, or the like provided on a third party web page that is not affiliated with the web site 104.
Where the advertisement 102 is an online advertisement, it will be appreciated that the selection of an online advertisement by the user(s) 101 resulting in the user's browser being forwarded to the web site 104 may represent a “click-through”. The advertising server 109 may provide click-through information in the media data. In some implementations, the advertising server 109 may include a click-through rate for the advertisement(s) 102, where the click-through rate may be, for example, the number of users that clicked on the advertisement (or a link associated with the advertisement) divided by the number of times the advertisement was delivered over a specific time period.
Although the user(s) 101 may access the web site 104 by selecting an online advertisement, in some implementations, the user(s) 101 may access the web site 104 directly. As an example, a user may access the web site 104 by typing the address into a web browser. Direct access may occur with or without the viewing one or more advertisement(s) 102 by the user(s) 101.
As shown in
In some implementations, the user's actions on the web site 104 that are identified by monitoring may be valued to identify whether the user is interacting with the web site 104 in a way that will result in value to an advertiser or other party. In some implementations, the user's actions are valued to identify whether the user is interacting with the web site 104 in a way that results in a “conversion”. As an illustrative example, a user entering contact information on a web site 104 may be deemed to be a more significant action than, for example, merely visiting the web site.
In some implementations, the system may assign a particular value to one or more actions that a user may take on one or more web pages. For example, the viewing of a particular web page of the web site by the user may be assigned a “0” action value. However, the entering of the user's contact information on the web site may be assigned a “5” action value, on a scale of “0” to “5”, where a “0” represents an action of relatively low significance and a “5” represents an action of relatively high significance.
A designated goal value may also be stored in the system, which represents a threshold that the sum of the various action values associated with actions performed by the user during a particular visit must reach and/or exceed before a “conversion” is deemed to have occurred. As described in greater detail below with respect to
In some implementations, the action values and stored goal value may be included in the web site data. In some implementations, the action values and the stored goal value may be stored on the web pages of the web site 104, on a web server (not illustrated), or separately or with web site data in the feedback tool 108. In some implementations, the media data may be automatically forwarded and/or retrieved by the feedback tool 108, such as on an hourly or daily basis, or according to any other predetermined schedule.
As shown in
In particular embodiments, the feedback tool 108 receives media data and web site data, and may generate one or more graphical user interfaces (GUIs) using the media data and web site data. The interfaces, which are explained in greater detail below with reference to various example interfaces, may display information that may be used to determine, for example: (1) which types of advertising are the most effective in generating interest from a particular target group of customers; and (2) which, of a plurality of advertisements, are the most effective.
As described in greater detail below, the user interfaces may include, for example, an aggregated display of media data and web site data. For example, the user interfaces may display information regarding historical web site usage and traffic information, which may enable users of the interfaces to view and identify trends. The interfaces may be viewed by advertisers that generate and/or publish the advertisement(s) 102 and/or by web site administrators that publish the web site 104. The interfaces may enable real-time or near real-time feedback, which may allow advertisers to modify their overall marketing campaign to facilitate increased web site traffic and web site conversions. This may result in a reduced overall advertising spend for the same, or better, overall results.
Example Processes
In some implementations, the media data may be received from additional or alternative sources, such as from an advertising agency that is coordinating a marketing campaign for a particular company. In particular embodiments, the media data may include, for example: (1) the general type of traffic source (e.g., type or category of advertisement) that led the user to visit the web site (e.g., TV, radio, print, e-mail, direct mailing, or any other suitable type of advertisement); and (2) the particular advertisement that led the user to visit the web site (e.g., a particular banner advertisement displayed on www.cnn.com).
Returning to
The system then advances to Step 206, where it determines whether a conversion occurred during the user's visit to the web site 104. For example, the web site data may identify one or more actions taken by the user on the web site, where one or more actions (alone or in combination) may be deemed to be a conversion. After the determination occurs, the system proceeds to step 208, where it displays an object that conveys whether the conversion occurred during the user's visit. For example, the system may display a graphical indication of the rate at which a particular radio advertisement (or a series of advertisements run in a particular advertising medium) generated desired activity on a web site. The display of the object may be executed by the feedback tool 108. In some implementations, the object may include a graphic and/or textual representation showing a percentage of conversions that occurred for web site visits generated by one or more different traffic sources. In some implementations, the object may also include a graphic and/or textual representation showing a number of users that were directed to the web site from one or more particular traffic sources during a particular time period.
Turning to
At Step 306, when the user's visit to the web site 104 is complete, the system compares the sum of action values associated with the user's visit with the stored goal value. The comparison may, for example, be executed by the feedback tool 108 or by the web server and transmitted to the feedback tool 108.
Finally, at Step 308, in response to the sum of the values being greater than or equal to the stored goal value, the system stores, in memory, an indication that a conversion occurred during the user's visit. Similarly, in response to the sum of the values being less than the stored goal value, the system stores, in memory, an indication that a conversion did not occur during the user's visit.
As an illustrative example, one or more actions on one or more web pages may be identified as: “Action 1”, “Action 2”, “Action 3”, “Action 4”, and “Action 5”. Those respective actions may represent, for example, the user selection of content on a web page, the user input of information on a web page, a purchase by the user on a web page, the download of a brochure, or the like. The actions may be assigned action values based on the significance of the action taken by the user in meeting a goal of the web site administrator or advertiser. The table below provides an example of various actions and corresponding action values.
The stored goal value for this example may be a value of 5. The conversion value for a user's actions is determined by summing the action values for the respective actions the user took during a visit to the web site. For example, if “USER A” took only Action 1, the conversion value corresponding to “USER A” would be 5. If “USER B” took only Actions 2 and 3, the conversion value corresponding to “USER B” would be 4. Those respective conversion values are compared to the stored goal value. Because USER A's conversion value (5) equals or exceeds the stored goal value (5), a conversion occurs. However, because USER B's conversion value (4) fails to equal or exceed the stored goal value (5), a conversion did not occur for that user.
Although, in some implementations, each user action is assigned an action value, it will be appreciated that other events that occur while a user is visiting a web page may be assigned separate event values. Those values may be used by the feedback tool in identifying important events that occur on the web site 104 for the purposes of providing feedback via one or more user interfaces, but, in certain examples, may not be used in the calculation of conversion values.
It should also be understood that the system may use any other suitable technique for determining whether a conversion has occurred during a user's visit. For example, if an advertiser's primary goal is to sell a particular item, then the advertiser may specify that a conversion may only occur for a particular user when the user purchases the particular item.
Next, at Step 404, the system receives web site data associated with the visits of users to a particular web site associated with the viewed advertisements. In some implementations, the web site data may be received at the feedback tool 108 from the web site 104, which collects the web site data responsive to user actions on the web site. In some implementations, the web site data may be received at the feedback tool 108 from the advertising server 109, which collects the web site data responsive to user actions on the web site.
Next, at Step 406, the system determines a bounce rate, based, for example, on information obtained in Steps 402 and 404. In some implementations, the bounce rate is determined for users sharing a common traffic source associated with the advertisement. The bounce rate may represent the percentage of users that, via a particular traffic source, access the web site 104 at a web page and then leave the site rather than viewing other web pages on the site. In other implementations, the bounce rate may represent the percentage of users that, via a particular traffic source, enter the web site 104 and then leave before a conversion occurs, as described above with respect to
The bounce rate may be determined, for example, by the feedback tool 108. In some implementations the bounce rate may be determined by the advertising server 109 and transmitted to the feedback tool 108.
Finally, after determining the bounce rate at Step 406, the system proceeds to Step 408, where it displays an indicator showing the determined bounce rate. In various embodiments, the display of the indicator may be executed by the feedback tool 108. In some implementations, the indicator may include a graphic and/or textual representation, such as a bar representing a range of bounce rates, with a line, arrow, or other indicia representing a specific bounce rate. The bar may include two or more colors, where the two or more colors represent a subset of bounce rates within the range of bounce rates.
Example User Interfaces
In various embodiments, the overview dashboard 500 may include information corresponding to conversions 505, media vitals 530, and site vitals 535. As shown, the conversions 505 may include an object (including, for example, a graphical and/or textual object) illustrating how many of one or more particular activities on a web site (e.g., conversions) occurred during the selected time period and/or date. In some implementations, the overview dashboard 500 shows a total number of particular activities that occurred across all traffic sources during the selected time period. In some implementations, the overview dashboard 500 shows a percentage of conversions occurring across all traffic sources during the selected time period. The object may include a funnel 510 and corresponding data 522 and may be displayed when a user selects a “funnel” selection 525 on the overview dashboard 500.
The funnel 510 may show one or more significant actions that may be taken by users during their visit to the web site 104. The selection of the significant actions may be made, for example, by a user of the interface from a list of actions for which site data has been collected, where the actions are tiered within the funnel displayed on the dashboard 500. For example, in the example dashboard 500, an advertiser for an automobile manufacturer or a web site administrator for the automobile manufacturer may wish to know how many and what percentage of user(s) 101 took a first action, “See Vehicle Page”, by viewing a particular vehicle page on the web site 104 during the month of July. In the example dashboard 500, the advertiser for an automobile manufacturer or the web site administrator for the automobile manufacturer may also wish to know how many and what percentage of user(s) 101 also took a second action, “Enter Zip”, by entering their zip code into the web site 104 during the month of July. The funnel 510 may also include a “convert” action corresponding to whether the user(s) 101 interacted with the web site 104 to result in a conversion, as described above with respect to
The corresponding data 522 includes the number of users that took each action shown in the funnel 510, along with a percentage number showing what percentage of users visiting the web site 104 took the respective actions during the selected time period and/or date, such as during the month of July. In some implementations, the corresponding data 522 may also illustrate an increase or decrease in the actions over a previous time period. For example, the corresponding data 522 shown in
Web site data information displayed through the conversions 505 may be illustrated adjacent to a media vitals display 530. The media vitals display 530 may, for example, display information corresponding to media data associated with the selected time period and/or date. For example, in the overview dashboard 500 of
Other web site information may also be displayed adjacent to the media vitals display 535. For example, a site vitals display 535 may display information, associated with the selected time period and/or date, regarding usage of the web site 104. For example, on the overview dashboard 500 of
It will be appreciated that the aggregated display of advertisement and web site statistics that illustrate performance of the advertisement(s) 102 and the web site 104 on a single interface may, in various embodiments, provide advertisers and administrators of the web site 104 with substantive feedback in real-time or near real-time. For example, the interfaces may show how media, such as advertising, affects behavior of users accessing a web site, how users behave on the web site, and which traffic sources result in the highest quality visits to the web site. This may, for example, permit advertisers and web site administrators to make necessary modifications to advertisements and/or the web site to produce increased web site traffic and web site conversions.
In various embodiments, the user actions display 722 shows the number of one or more significant actions that may be taken by users during their visit to the web site 104. The selection of the significant actions may be made, for example, by a user of the interface from a list of actions for which site data has been collected. For example, as shown in the example dashboard 700 of
As shown in
As shown in
The traffic source dashboard 800 may include information corresponding to conversions on the web site 104, and the bounce rates for different traffic sources 830 during the selected time period. The dashboard 800 may also include information corresponding to user actions taken on the web site 104. This information may be broken down by traffic source (e.g., a first display may show this information for paid traffic sources, and a second display may show this information for unpaid traffic sources).
As shown in
As illustrated, the object may include one or more funnels (such as those described with respect to
The corresponding data 822, 824 may include the number of users that took each action shown in the funnel for respective traffic sources, and may include a percentage number showing what percentage of users visiting the web site 104 took the respective actions during the selected time period and/or date, such as the month of July. In some implementations, the corresponding data 822, 824 may also illustrate an increase of decrease in the actions over a previous time period. For example, the corresponding data 822, 824 shown in
The traffic source dashboard 800 may also include bounce rate information corresponding to one or more traffic sources 830. The selection of the displayed traffic sources 830 may be made, for example, by a user of the interface from a list of traffic sources for which media data and web site data has been collected. In some implementations, the number of users accessing the web site 104 from each traffic source may be displayed. For example, in the example dashboard 800 shown of
According to some implementations, a bounce rate may be displayed for each of the traffic sources 830 using an indicator 845. In various embodiments, the bounce rate may be determined by the feedback tool 108. Also, in certain embodiments, the bounce rate may be determined by the advertising server 109 and transmitted to the feedback tool 108. As noted above, the bounce rate may represent the percentage of users that enter the web site 104 at a web page from a traffic source and then leave the site rather than viewing other web pages in the site. In other implementations, the bounce rate may represent the percentage of users that enter the web site 104 from a traffic source and then leave before a conversion occurs, as described above with respect to
The display of the indicator 845 may be executed by the feedback tool 108. In some implementations the indicator may include a graphic and/or textual representation, such as a bar 840 representing a range of bounce rates, with a line, arrow, or other indicia 845 representing a specific bounce rate. The bar may include two or more colors, where the two or more colors represent a subset of bounce rates within the range of bounce rates. For example, the interface 800 shown in
As may be understood from
When a user selects an “action” selection 1025 on the dashboard 1000 (or on other traffic source dashboards 800, 900), the object may include one or more user action displays 1040, 1044. The user action displays 1040, 1044 show the number of one or more significant actions that may be taken by users during their visit to the web site 104, where the actions correspond to user actions after accessing the web site 104 from one or more traffic sources, or types of traffic sources.
The selection of the significant actions may be made, for example, by a user of the interface from a list of actions for which site data has been collected. For example, in the example dashboard 1000, an advertiser for an automobile manufacturer or a web site administrator for the automobile manufacturer may wish to know how many user(s) 101 took actions after accessing the web site 104 from paid or non-paid traffic sources, where the actions include: viewing offer details, visiting a dealer web site associated with the web site 104, building and processing a vehicle, requesting a quote, viewing a map and directions (for example, to a dealership), and viewing inventory on the web site. The numbers shown by the user actions 1040, 1044 show the number of users that performed each of the actions, and may be determined from the web site data. The feedback tool 108 may, in some implementations, calculate this information.
It should be understood, based on this disclosure, that media data and web site data may be used to generate interfaces, including the dashboards described above with respect to
In some implementations, the media data and web site data may also generate interfaces showing statistics associated with one or more web pages and/or web page content items. For example, interfaces may display information such as the number of users that viewed a particular web page and/or web page content item for a particular time period. In some implementations, interfaces may display information such as the number of users that viewed a particular web page and/or web page content item for a particular time period, where the user accessed the web site 104 from one or more traffic sources. Still other interfaces may be generated that aggregate the objects, indicators, and content described herein to permit a consolidated feedback view.
System Architecture
The memory 1120 stores information within the system 1100. In one implementation, the memory 1120 is a computer-readable medium. In one implementation, the memory 1120 is a volatile memory unit. In another implementation, the memory 1120 is a non-volatile memory unit. The storage device 1130 is capable of providing mass storage for the system 1100. In one implementation, the storage device 1130 is a computer-readable medium. In various different implementations, the storage device 1130 may, for example, include a hard disk device, an optical disk device, or some other large capacity storage device.
The input/output device 1140 provides input/output operations for the system 1100. In one implementation, the input/output device 1140 may include one or more of a network interface devices, e.g., an Ethernet card, a serial communication device, e.g., and RS-232 port, and/or a wireless interface device, e.g., and 802.11 card. In another implementation, the input/output device may include driver devices configured to receive input data and send output data to other input/output devices, e.g., keyboard, printer and display devices 1160. Other implementations, however, may also be used, such as mobile computing devices, mobile communication devices, set-top box television client devices, etc.
The apparatus, methods, flow diagrams, and structure block diagrams described in this patent document may be implemented in computer processing systems including program code comprising program instructions that are executable by the computer processing system. Other implementations may also be used. Additionally, the flow diagrams and structure block diagrams described in this patent document, which describe particular methods and/or corresponding acts in support of steps and corresponding functions in support of disclosed structural means, may also be utilized to implement corresponding software structures and algorithms, and equivalents thereof.
Conclusion
This written description sets forth the best mode of the invention and provides examples to describe the invention and to enable a person of ordinary skill in the art to make and use the invention. This written description does not limit the invention to the precise terms set forth. Thus, while the invention has been described in detail with reference to the examples set forth above, those of ordinary skill in the art may effect alterations, modifications and variations to the examples without departing from the scope of the invention.
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