A method and apparatus for managing and integrating lead sources for a marketing/advertisement campaign on a platform that allocates and optimizes lead source budgets and provides a customer service and payment processing function. The present technology as disclosed and claimed herein provides a platform that is a customer retention and customer management system that is automated to provide lead estimations and optimizations to allocate and optimize lead source budgets where the system has a learning function that improves over time.

This disclosure describes systems, methods, and computer-readable media related to retargeting online advertisement campaign recommendations for advertisements with multiple items or services. Bids may be based on a combined advertisement creative comprising two or more items or services. Dynamically selecting multiple items at bid time using a retargeting model to determine a potential revenue generation amount associated with an event may increase the probability of a conversion event based on the creative that includes the selected items. In some embodiments, a machine-learned retargeting model may be used to select multiple items to be displayed in an advertisement. The retargeting model may be applied to items that were previously viewed by the consumer and may determine a value for each of the items using factors. A bid may be calculated for each of the selected items using the values determined by the retargeting model.

A method and system for placement of graphical objects on a page to optimize the occurrence of an event associated with such objects. The graphical objects might include, for instance, advertisements on a webpage, and the event would include a user clicking on that ad. The page includes positions for receipt of the object material. Data regarding the past performance of the objects is stored and updated as new data is received. A user requests a page from a server associated with system. The server uses the performance data to derive a prioritized arrangement of the objects on the page. The objects are arranged according to a calculation and returned to the user on the requested page.

A method of serving targeted content messages for display in a website accessed in a browser program of a networked computer communicatively connected to a network at a network address for communications, delivers uniquely targeted content messages displayed in websites viewed in web browsers. The method includes placing a script device in a website file, processing the website file, together with the script device by a particular web browser on download of the website file, including by determining the network address of the networked computer, determining an identifier of the website file, and sending an artifact representing the network address and the identifier over the network to a server computer. The method also includes detecting the network address and the identifier by the server computer, querying a database for a database article related to the network address and the identifier, constructing a script program stored in memory of the server computer for the particular browser and website file, and constructing an ad device stored in memory of the web browser device from the script program. The method further includes calling the server computer by the ad device by communication of an identifier representing an action of the web browser device, receiving the identifier by the server computer, querying the database for a select message artifact related to the script program, the identifier, the website file, and the web browser, and responding by the server computer to the web browser with the select message artifact. A message represented by the select message artifact is displayed in the website then viewed in a browser window of the web browser. Messages can be prioritized and are uniquely targeted in content, based on real-time activities of the web browser.

Systems and methods including one or more processing modules and one or more non-transitory storage modules storing computing instructions configured to run on the one or more processing modules and perform acts of receiving a plurality of advertisement creatives for an advertisement campaign, generating first predefined frequency weights for the plurality of advertisement creatives, and coordinating a display of the plurality of advertisement creatives within the impression slot of the webpages displayed to the online users based on the first predefined frequency weights. The first predefined frequency weights include a weighted frequency that each advertisement creative of the plurality of advertisement creatives should be displayed to the online users. A first advertisement creative of the can be displayed more frequently than a second advertisement creative because the first advertisement comprises a first frequency weight that is higher than a second frequency weight of the second advertisement creative.

Inventory data is stored, wherein the inventory data represents for each of a plurality of broadcast stations a corresponding inventory of audio advertising spots available from that broadcast station to be filled by an advertising placement system. An advertising campaign data representing a set of advertising objectives of an advertising campaign is received. The inventory data is used to iteratively select advertising spots to be associated with the advertising campaign, based at least in part on a respective computed fitness of match between each selected advertising spot and said advertising objectives.

Events and/or topics are studied and classified according to their temporal qualities to determine their relative state. The content of a document relating to such event/topic is analyzed to identify temporal components. These components can be compared with corresponding counterparts in other documents to identify a relative temporal order. The invention can be used in environments such as automated news aggregators, search engines, and other electronic systems which compile information having temporal qualities.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for reducing bias caused by cleared cookies. In one aspect, a method includes obtaining, from a historical data store storing data obtained from cookies that have been placed on various client devices, a set of the data obtained from the cookies. The contents of a given cookie are used to identify an initialization time when the given cookie was placed on a given client device by a server. A determination is made, based on the initialization time, that the cookie has an age that is less than the threshold age. Data obtained from the given cookie is filtered from inclusion in a final set of data that is used to generate measurements based on the age of the cookie being less than the threshold age.

A system tracks the effectiveness of advertising across both on-line and off-line media. Users define advertisements that are part of an advertising campaign and include in the definition tracking identifiers such as telephone numbers and URL's. The system tracks inputs that are subsequently received in response to and generated by the various advertisements. The inputs contain tracking identifier information. The system correlates the tracking identifier information from the received user inputs with tracking identifier information entered upon definition of advertisements in the system. Thereafter, the system generates reports that illustrate the relative effectiveness of the advertisements in driving inputs.

At least one embodiment of the disclosed system is directed to computer-implemented method for using machine vision to categorize a locality to conduct lead mining analyses. Embodiments of the method may include: generating locality profile scores and economic categorization for each locality of a plurality of localities, the locality profile score for each locality being derived through neural network analyses of map images of the locality, the economic categorization being derived through neural network analyses of images of entities within the locality; and generating a lead score for each entity in the locality group as a function of the locality profile score for the locality in which the entity is located, the economic categorization of the locality in which the entity is located, and campaign vehicles used in the locality in which the entity is located.