A system, method, and computer program product for implementing electronically generated promotion deployment is provided. The method includes receiving electronic data comprising shipment identification for a shipment of an item from a shipping client to a recipient. Specialized programable software code is generated and a resulting profile is generated for the recipient. A visible promotional structure associated with a package comprising the shipment is generated and presented during delivery of the package. Generating the visible promotional structure may include generating a physical structure or a digital structure.

A method, apparatus and computer program product are provided for integrated sales management. A sales resource may use the system to track and modify promotion proposals for providers. Data defining the proposed promotion may include information relating to the provider, capacity, the promotion structure, return on investment, and/or an auto-approval status. Some data defining the proposed promotion may be automatically generated by the promotional system and/or modified by the provider. The proposal may be auto-approved or approved manually by a sales resource. Upon approval, the promotion may be made available for sale.

The invention relates to a campaign management system comprising a computer-data processor memory, a graphical user interface (GUI), the management system (CAMS) processing a plurality of participant records (PREC) according to a user-configured process structure (PS) of a plurality of configured logic templates (CLT) configured on the basis of a plurality of logic templates (LT); the graphical user interface (GUI) is arranged to display graphical elements (GE), each graphical element (GE) being associated with a logic template (LT); wherein said logic templates (LT) comprise user editable parameters (UEP) being editable using the graphical user interface (GUI) and an executable program fragment (EPF) being executable on the basis of said user editable parameters (UEP) and one or more of said participant records (PREC); wherein the graphical elements (GE) are couplable using said graphical user interface (GUI) by a user, the coupling defining the process structure (PS) of said executable program fragments (EPF) of said logic templates (LT) in relation to said participant records (PREC); wherein said process structure (PS) and said participant records (PREC) for processing according to said process structure (PS) represent a campaign (CAM); wherein the participant records (PREC) comprise participant attributes (PA) being processable by said executable program fragments (EPF) of said configured logic templates (CLT) according to said process structure (PS) and wherein the participant attributes (PA) comprise global participant attributes (GPA) and local participant attributes (LPA), wherein said global participant attributes (GPA) are defined across a plurality of campaigns (CAM) defined by different respective process structures (PS), and wherein said local participant attributes (LPA) are defined for a subset of said plurality of campaigns CAM).

A collateral generation system generates and sends physical direct mail to one or more users on behalf of an entity with which the users have interacted. The collateral generation system can send physical direct mail to prospects, who may not have a prior relationship with the entity. In general, prospects would not normally be sent mailings because the entity lacks some primary information about the entity, such as an address or sufficient identifying information to obtain an address of the entity. The collateral generation system identifies prospects based on activity online and obtains mailing addresses of the prospects from an identification service while retaining user anonymity of those prospects. The collateral generation system generates collateral, which may be personalized for a defined block group of prospects (e.g., individuals or organizations), and the collateral is sent as physical mail to the prospects on behalf of the entity.

Techniques and systems are described to enable users to optimize a digital marketing content system by analyzing an effect of components of digital marketing content on audience segments, environments of consumption, and channels of consumption. A computing device of an analytics system receives user interaction data describing an effect of user interaction with multiple items of digital marketing content on achieving an action for multiple audience segments. The analytics system identifies which of a plurality of components are included in respective items of digital marketing content. The analytics system generates data identifying different aspects that likely had an effect on the achieving an action on the items of digital marketing content, such as components of the items of digital marketing content, environments of consumption, channels of consumption. The analytics system outputs a result based on the data in a user interface.

A method and computer platform may administer a content management system for product templates with no specific programing code required for the retailer computer device to update a product template associated with the retailer. A URL can be associated with the updated template. When a request to access the URL is received from a mobile device, the URL or the updated template can be displayed to the mobile device, wherein the request is generated by the mobile device via scan of a QR code on a package.

The present teaching relates to generating combination distributions for ads. A prediction model is obtained via machine learning with respect to a criterion. Training data are associated with multiple ads each having multiple attributes, and include combinations with recorded performance for each ad. Each combination has multiple assets representing respective attributes of an ad. Using the prediction model, performance of each combination of each ad can be predicted and used for generating combination distributions for the ads. Such generated combination distributions are then sent to an explore/exploit layer (EEL) at a frontend ad serving engine so that it can draw a combination associated with an auction winning ad for rendering on a webpage viewed by a user on a user device.

A communication system platform that website provider is provided. The systemic platform is configured to gather information and promotional content based on a website of a website provider user. The systemic platform generates a plug-in web portal for the website and an operatively associated dashboard that the website provider can use to selectively control the data flowing in and out of the web portal. The web portal generates a two-tiered link and form website campaign for visitors, wherein the website campaign elicits visitor-specific promotional content and prompts the visitor, via the visitor-specific promotional content, to disseminate the promotional content to referral visitors.

Described herein is a method and system for collection creation. The collection is a curated selection of product and/or services from an electronic catalogue presented to an online consumer. A repository of templates is provided. The first set of attributes of the items of catalog is determined by an attribute classification model. In parallel, data relevant to items from media sources are extracted. Features are identified from the extracted data. A second set of preferred attributes from the identified features is identified. A common set of attributes amongst the first and second set of attributes is identified. Templates that match a minimum number of the template's attributes with the item's attributes are selected. The selected templates are applied to the items of electronic catalog to automatically create curated collections. Curated collections are activated and displayed to the online consumer on a user interface.

The present teaching relates to displaying ads. An explore/exploit layer (EEL) is provided at frontend ad serving engine for storing combination distributions with respect to multiple ads. Each ad has multiple attributes. Each attribute can be instantiated using one of multiple assets. The frontend ad serving engine requests a recommended ad for bidding an ad display opportunity in a slot of a webpage viewed by a user on a user device. The recommended ad is one of the multiple ads. When the auction is successful, a combination of assets for the ad is drawn from the combination distributions in EEL and each of the assets instantiates a corresponding attribute of the ad. The combination is transmitted to the user device to render the ad.