15 results about "Campaign management" patented technology

Methods, systems, and apparatus, including computer-readable storage media for generating model-generated digital content from prompts built using a combination of a base object description and targeting parameters for an intended audience. The digital content, once generated, can be served to a target audience indicated by the targeting parameters. A system implementing the methods described herein can generate content for various different audiences, indicated by different combinations of targeting parameters available on a campaign management platform serving the content. When the content is no longer being served the system can cause the digital content to be deleted or otherwise discarded. Instead of storing the content, the system can save the prompt and re-process the prompt through the model to re-generate the content. The system can further index prompts for later querying, so that the system can avoid generating new prompts over using stored prompts for content generation.

Methods, systems, and apparatus, including computer-readable storage media for generating model-generated digital content from prompts built using a combination of a base object description and targeting parameters for an intended audience. The digital content, once generated, can be served to a target audience indicated by the targeting parameters. A system implementing the methods described herein can generate content for various different audiences, indicated by different combinations of targeting parameters available on a campaign management platform serving the content. When the content is no longer being served the system can cause the digital content to be deleted or otherwise discarded. Instead of storing the content, the system can save the prompt and re-process the prompt through the model to re-generate the content. The system can further index prompts for later querying, so that the system can avoid generating new prompts over using stored prompts for content generation.

Methods, systems, and computer storage media for providing an advertising campaign management engine in an artificial intelligence system are described. Advertising campaign management refers to the process of planning, executing, monitoring, and optimizing advertising campaigns. Operationally, first, high-conversion design modeling and mining analyzes performance data and user preferences to identify design elements—such as image style and text layout—that drive engagement. Second, design requirement generation converts ad optimization profiles into structured prompts that guide the refinement of ad designs. Lastly, design fine-tuning leverages advanced generative models to adjust ad elements, such as images and layouts, based on the generated requirements. The advertising campaign management engine supports an iterative process that enables automated updates and optimizations, allowing ads to be tailored to specific demographics. For example, it could produce quirky designs for young adults or simplified layouts for seniors. Refined ads are then deployed and continuously monitored for performance improvements.

This paper describes a method, system, and computer storage medium for providing an advertising campaign management engine within an artificial intelligence system. Advertising campaign management refers to the process of planning, executing, monitoring, and optimizing advertising campaigns. Operationally, it first involves high-conversion design modeling and mining analysis of performance data and user preferences to identify design elements (such as image style and text layout) that enhance engagement. Next, design requirement generation transforms ad optimization profiles into structured prompts that guide the refinement of ad design. Finally, design fine-tuning utilizes advanced generative models to adjust ad elements (such as images and layout) based on generated requirements. The advertising campaign management engine supports an iterative process that enables automatic updates and optimization, allowing ads to be customized based on specific demographics. For example, it can create unique designs for young people or simplified layouts for older people. The refined ads are then deployed and continuously monitored for performance improvement.

To improve a utilization rate of authenticity determination.SOLUTION: An authenticity determination system comprises: an authenticity determination identification information acquisition part which acquires authenticity determination identification information; an authenticity determination part which performs authenticity determination according to the authenticity determination identification information and an authenticity determination identification information list stored in a storage part; an identification information link part, which associates campaign identification information different from the authenticity determination identification information with the authenticity determination identification information according to the result of the authenticity determination; and a lottery part which conducts a campaign lottery using the campaign identification information according to the result of the authenticity determination.SELECTED DRAWING: Figure 3

Campaign Management Customer Financial Behavior Monitoring device for Targeted Marketing Applications

A system and method for generating and optimizing marketing campaigns. More specifically, a campaign management system leverages a Large Language Model (LLM) to create multiple variations of an existing campaign tailored to specific target groups. The system employs a cluster-based approach and a click-through rate (CTR) prediction model to generate revised campaigns for targeted readers, thereby creating a feedback loop for further fine-tuning of the LLM for future campaigns.

A network system operates to enable a user to specify a campaign configuration for a new or existing campaign. Based on the specified campaign configuration, the network system determines one or more campaign execution parameters for configuring an execution of the new or existing campaign on an external content delivery channel, using a data set that is representative of an environment of the external content delivery channel.

This invention relates to a highly adaptable marketing campaign management method. For any marketing campaign, a rights tree model is constructed. During the construction of the rights tree model, each rights branch node corresponds to a rights package within the marketing campaign. The node attributes of the corresponding rights branch node are configured based on the rights content of the rights package, thereby setting the rights management status of the corresponding rights branch node based on the configured node attributes. For any user entering the marketing campaign, user information is generated based on marketing business configuration information. The generated user information is then traversed through the rights branch nodes of the rights tree model to generate a rights eligibility status corresponding to each rights branch node. When the rights eligibility status includes an incentive achievement status, the corresponding marketing incentive is claimed based on the node attributes of the rights branch node. This invention effectively improves the adaptability to marketing campaigns and reduces the complexity of iterative business management systems.

Methods, systems, and computer storage media for providing an advertising campaign management engine in an artificial intelligence system are described. Advertising campaign management refers to the process of planning, executing, monitoring, and optimizing advertising campaigns. Operationally, first, high-conversion design modeling and mining analyzes performance data and user preferences to identify design elements-such as image style and text layout-that drive engagement. Second, design requirement generation converts ad optimization profiles into structured prompts that guide the refinement of ad designs. Lastly, design fine-tuning leverages advanced generative models to adjust ad elements, such as images and layouts, based on the generated requirements. The advertising campaign management engine supports an iterative process that enables automated updates and optimizations, allowing ads to be tailored to specific demographics. For example, it could produce quirky designs for young adults or simplified layouts for seniors. Refined ads are then deployed and continuously monitored for performance improvements.

Apparatus and methods for enabling time-based secondary content scheduling and dynamic placement for users of a content distribution network. In one embodiment, the network comprises a managed network, and the secondary content comprises advertising which was scheduled at the time the primary content was stored / recorded. A management process is adapted to identify the originally scheduled advertisements and utilize a temporal reference (e.g., time stamp) or other data associated with the original recording provided to the management process when an advertisement call is made dynamically, thereby preserving such relationship when the recorded content is requested for playback with a certain period of time, without having to store the advertisements with each recording. In another embodiment, a Campaign Management System (CMS) is used to associate campaigns based on a time period “in the past” (e.g., via use of one or more historic records regarding the advertisement placement for each user individually).

A system for managing contacts and tracking communication activities includes a database that obtains contact information from multiple sources including electronic communications. Multiple attributes are stored for each contact while deduplicating contact information and enabling sharing across accounts. Interactions are monitored by logging sent and received electronic communications, tracking meetings, and inferring relationship status based on interaction frequency. An activity feed displays a timeline of monitored interactions, shows communications related to specific contacts, and updates contact profiles based on tracked activities. A visual pipeline interface tracks transactions by visualizing relationship pipelines organized by status, displaying transaction progress, and enabling relationship development. Collaboration features including shared access to relationship data and permission-based controls for sensitive information are provided. AI capabilities are implemented for automated contact syncing, intelligent follow-up suggestions, and outreach campaign management. Reporting features generate insights by analyzing communication patterns and determining relationship strength.

Computer terminal with Graphical User Interface for Personalized Marketing Campaign Management

A system for a programmatic advertising platform to enhance advertising campaign performance is disclosed, including a data integration module to receive, from one or more user inputs and a plurality of data stores, data utilized to initialize an advertising campaign. A contact-based targeting module identifies one or more recipients of the advertising campaign. A multi-channel campaign management module optimizes one or more features of the advertising campaign in real-time. A reporting and analytics module reports a status of the advertising campaign and provide the status on a user interface. A compliance management engine monitors one or more compliance parameters associated with the advertising campaign.