Techniques and arrangements for generating, distributing and managing promotion campaigns are described. A promotion server may generate the promotion campaigns based on input from a merchant. The input may include a request to generate the promotion campaign, a merchant preference, or other information shared between the merchant and the promotion server. The promotion campaign may include promotions, such as coupons, discounts, or the like, to encourage transactions with a merchant. The promotions may be generated based on merchant specified criteria, a merchant transaction history, customer preferences, a customer transaction history, and/or other information processed by the promotion server. The promotions of the promotion campaign may be distributed via one or more channels, such as electronic mail, web site publication, receipts, etc. Each promotion of the promotion campaign may be linked to a particular customer, thereby limiting the number of times a particular customer can take advantage of the promotion campaign.

In some aspects, a system for enhancing performance of directed information delivery is provided. In one example, an advertising recommendation server receives an advertisement request including an advertisement for display on at least one of a plurality of webpages and a requested performance of the advertisement. The server extracts context data from the advertisement, and provides the extracted context data to a data model useable to generate predictions of performance of the advertisement when displayed on each of a plurality of webpages, trained based on performance data associated with previous displays of one or more previous advertisements on one or more of the plurality of webpages and context data from the one or more previous advertisements. A webpage is identified that meets expected performance, and a recommendation is provided to a decision platform.

A system and method for advertising are disclosed. In an aspect, a method comprises rendering a content to a plurality of users, the content having a time duration, rendering a first selectable element associated with the content to a first one of the plurality of users at a first time during the time duration of the rendered content, and rendering a second selectable element associated with the content to a second one of the plurality of users at a second time during the time duration of the rendered content, wherein the second time is different from the first time and the first selectable element is not rendered to the first one of the plurality of users while the second selectable element is rendered to the second one of the plurality of users.

A portable billboard is presented including a portable media projection subsystem to selectively project media and to supply an enablement signal in response to the media being projected. A location device supplies a geographic location of the media projection subsystem. A verifier receives the enablement signal and the geographic location, and supplies verification information responsive to the media being projected from a stationary location for a predetermined minimum duration of time. A communications subsystem receives verification information and either stores the information for subsequent downloads, or transmits the information to a central controlling server. A targeting subsystem permits an entity to select a target stationary location from a plurality of value weighted target stationary locations. The targeting application typically provides a reward in response to a value of the selected target stationary location.

A control apparatus includes a communication interface configured to transmit, to at least one bidding apparatus, range data indicating a geographical range through which at least one vehicle travels, and receive, from the at least one bidding apparatus, bidding data for bidding on an advertising slot associated with the geographical range indicated by the range data, and a controller configured to determine a bidder to whom the advertising slot is to be sold based on the bidding data received by the communication interface.

Aspects of the subject disclosure may include, for example, identifying a first line item having a guaranteed delivery requirement; determining whether a capacity forecast is available for the first line item and whether a forecasted capacity for the first line item is greater than a capacity threshold; responsive to the capacity forecast being available for the first line item and the forecasted capacity being greater than the capacity threshold, accessing a forecast shape curve for the first line item, wherein generating the forecast shape curve comprises normalizing the forecasted capacity based on weighting for a particular time period of a day being equal to forecasted impressions for the particular time period divided by a sum of forecasted impressions over the day; and determining whether to sell an ad space in video content to the first line item pursuant to the guaranteed delivery requirement or to a second line item pursuant to a real-time bidding process. Other embodiments are disclosed.

Aspects of the subject disclosure may include, for example, a method, operating at a processing system including a processor, can include receiving a reply message from a communication device responsive to a query signal and including audio information collected at a presentation area, determining consumer presence information at the presentation area according to the audio information collected at the presentation area, determining a probability of a consumer advertising experience according to the consumer presence information, selecting first advertising media from a set of advertising media according to the probability of consumer advertising engagement, and presenting the first advertising media to the presentation area via the presentation system. Other embodiments are disclosed.

Transaction modification based on modeled profiles is described. In an example, transaction data can be received from merchant computing devices associated with merchants associated with a payment processing system. A model can be trained to generate profiles using, as training data, one or more of merchant data, buyer data, or the transaction data. Upon receiving an indication of a particular transaction between a buyer and a merchant, it can be determined that a characteristic of the transaction corresponds to a profile of the generated profiles. Based on the determination that the characteristic corresponds to the profile and the transaction data, a recommendation can be generated for a modification of the transaction to add an item or replace an item.

Electronic correspondence that includes one or more promotions may be generated for presenting to a consumer. In order to determine whether to present the electronic correspondence to the consumer, the promotions included in the electronic correspondences may be analyzed in terms of a probability the consumer will accept the promotions, a relevance level between the promotions and attributes of the consumer, a relevance level between the promotions and the consumer, a relevance level between the promotions and a set of goals or rules, among other similar terms. After the analysis, a determination may be made whether to send the electronic correspondence to the consumer. Similarly, the analysis may compare multiple electronic correspondences, and determine, based on the comparison, which of the multiple electronic correspondences to send to the consumer.

A computerized hub connects companies seeking marketing services and marketing companies that provide marketing services. The systems and methods first provide hub-based tools to allow the company to develop a high-level marketing plan in accordance with the company's type of business, industry, geographic location, and marketing budget. Tool are also provided to facilitate budgeting, selecting, planning, launching, and reporting. In embodiments, the hub will have APIs to allow customers to provide a link to the customer's scheduling and accounting software to help develop the marketing plan and to monitor the effectiveness of the plan. The hub provides also provides interfaces for receiving performance data from marketing companies so their services may be offered to marketing service purchasers. Once a marketing company is selected, it is provided with additional interfaces which specify the campaigns and tasks for which the marketing company is responsible to implement. The computerized also provides real-time marketing results based upon real-time sales and marketing data, and generates updated marketing campaigns based upon triggers applied to the real-time sales and marketing data.