Abstract: Provided herein are systems, methods and computer readable media for facilitating pricing. An example method may include determining a price adjustable promotion from a plurality of promotions, the price adjustable promotion having a first promotional price, a forecasted demand that provides an indication of a promotion inventory exhaustion period and a plurality of redemption parameters that comprise at least a promotional period, a promotional value and a redemption expiration and causing the price adjustable promotion to be offered at the second promotional price while at least one of the plurality of redemption parameters for the price adjustable promotion remain constant.

Abstract: A method, apparatus, and computer program product are disclosed to improve selection of promotion pricing parameters. The method may determine one or more promotion pricing parameters for a promotion that is offered by a promotion and marketing service. The method includes generating one or more predictive models based on historical promotion performance data and generating a revenue equation using the one or more predictive models. The revenue equation provides an estimate of a revenue received by the promotion and marketing service based on the one or more predictive models. The method further includes determining an estimated revenue using the revenue equation based on one or more input sets of promotion pricing parameters provided as input to the revenue equation, and selecting at least one of the input sets of promotion pricing parameters for the promotion based on the estimated revenue. A corresponding apparatus and computer program product are also provided.

Abstract: A method, apparatus, and computer program product are disclosed to improve selection of promotion pricing parameters. The method may determine one or more promotion pricing parameters for a promotion that is offered by a promotion and marketing service. The method includes generating one or more predictive models based on historical promotion performance data and generating a revenue equation using the one or more predictive models. The revenue equation provides an estimate of a revenue received by the promotion and marketing service based on the one or more predictive models. The method further includes determining an estimated revenue using the revenue equation based on one or more input sets of promotion pricing parameters provided as input to the revenue equation, and selecting at least one of the input sets of promotion pricing parameters for the promotion based on the estimated revenue. A corresponding apparatus and computer program product are also provided.

Abstract: Provided herein are system, methods and computer readable storage media in facilitating the determination of provider parameters, such as a provider margin, for a promotion of the provider's goods, services, and/or the like in an agreement between the provider, also known as a merchant, and a promotion and marketing service that is configured to illustrate or otherwise inform consumers of the availability of one or more instruments for a promotion. In providing such functionality, the system may be configured to, for example, receive provider characteristic data, determine historical provider information, receive provider promotion structure data, determine a provider profile, determine a positive return on investment threshold, and transmit a provider parameter.

Abstract: Provided herein are systems, methods and computer readable media for dynamically determining a value of one component of a data set to achieve a target characteristic. An example method may include providing, at a user interface of a user device, an initial data comprising a fixed component representative of an icon and an adjustable component representative of the size of the icon, collecting, via a communications interface, consumer interaction information, representative of consumer interaction during display of the initial data set at the user interface of the user device, and subsequent to the determination that the difference in the value of the predefined metric measured during the time period and the previously measured value of the predefined metric measured during the previous time period meets the predefined threshold value, providing a second data set comprising the fixed component and the adjustable component set at a second value.

Abstract: Provided herein are system, methods and computer readable storage media in facilitating the determination of provider parameters, such as a provider margin, for a promotion of the provider's goods, services, and/or the like in an agreement between the provider, also known as a merchant, and a promotion and marketing service that is configured to illustrate or otherwise inform consumers of the availability of one or more instruments for a promotion. In providing such functionality, the system may be configured to, for example, receive provider characteristic data, determine historical provider information, receive provider promotion structure data, determine a provider profile, determine a positive return on investment threshold, and transmit a provider parameter.

Abstract: Provided herein are systems, methods and computer readable media for programmatically generating and/or revising promotion offers for a merchant based on one or more merchant self-service indicators. In providing such functionality, the system can be configured to, for example, facilitate registration and verification of merchant identities, determine promotion content and parameters based on merchant self-service indicators, and monitor and analyze promotion offers for merchants with similar merchant self-service indicators. The system may determine the relative successfulness of a promotion offer for a merchant and/or category of merchant. In some embodiments, the system may be further configured to revise the promotion offer programmatically and/or upon receiving the merchant's approval of the programmatically generated proposed edits to the promotion offer.

Abstract: Provided herein are systems, methods and computer readable media for facilitating pricing. An example method may include determining a price adjustable promotion from a plurality of promotions, the price adjustable promotion having a first promotional price, a forecasted demand that provides an indication of a promotion inventory exhaustion period and a plurality of redemption parameters that comprise at least a promotional period, a promotional value and a redemption expiration and causing the price adjustable promotion to be offered at the second promotional price while at least one of the plurality of redemption parameters for the price adjustable promotion remain constant.

Abstract: Provided herein are systems, methods and computer readable media for programmatically generating and/or revising promotion offers for a merchant based on one or more merchant self-service indicators. In providing such functionality, the system can be configured to, for example, facilitate registration and verification of merchant identities, determine promotion content and parameters based on merchant self-service indicators, and monitor and analyze promotion offers for merchants with similar merchant self-service indicators. The system may determine the relative successfulness of a promotion offer for a merchant and/or category of merchant. In some embodiments, the system may be further configured to revise the promotion offer programmatically and/or upon receiving the merchant's approval of the programmatically generated proposed edits to the promotion offer.

Abstract: A method, apparatus, and computer program product are disclosed to improve selection of promotion pricing parameters. The method may determine one or more promotion pricing parameters for a promotion that is offered by a promotion and marketing service. The method includes generating one or more predictive models based on historical promotion performance data and generating a revenue equation using the one or more predictive models. The revenue equation provides an estimate of a revenue received by the promotion and marketing service based on the one or more predictive models. The method further includes determining an estimated revenue using the revenue equation based on one or more input sets of promotion pricing parameters provided as input to the revenue equation, and selecting at least one of the input sets of promotion pricing parameters for the promotion based on the estimated revenue. A corresponding apparatus and computer program product are also provided.

Abstract: Provided herein are systems, methods and computer readable media for programmatically generating and/or revising promotion offers for a merchant based on one or more merchant self-service indicators. In providing such functionality, the system can be configured to, for example, facilitate registration and verification of merchant identities, determine promotion content and parameters based on merchant self-service indicators, and monitor and analyze promotion offers for merchants with similar merchant self-service indicators. The system may determine the relative successfulness of a promotion offer for a merchant and/or category of merchant. In some embodiments, the system may be further configured to revise the promotion offer programmatically and/or upon receiving the merchant's approval of the programmatically generated proposed edits to the promotion offer.

Abstract: Provided herein are systems, methods and computer readable media for facilitating pricing. An example method may include determining a price adjustable promotion from a plurality of promotions, the price adjustable promotion having a first promotional price, a forecasted demand that provides an indication of a promotion inventory exhaustion period and a plurality of redemption parameters that comprise at least a promotional period, a promotional value and a redemption expiration and causing the price adjustable promotion to be offered at the second promotional price while at least one of the plurality of redemption parameters for the price adjustable promotion remain constant.

Abstract: A method, apparatus, and computer program product are disclosed to improve selection of promotion pricing parameters. The method may determine one or more promotion pricing parameters for a promotion that is offered by a promotion and marketing service. The method includes generating one or more predictive models based on historical promotion performance data and generating a revenue equation using the one or more predictive models. The revenue equation provides an estimate of a revenue received by the promotion and marketing service based on the one or more predictive models. The method further includes determining an estimated revenue using the revenue equation based on one or more input sets of promotion pricing parameters provided as input to the revenue equation, and selecting at least one of the input sets of promotion pricing parameters for the promotion based on the estimated revenue. A corresponding apparatus and computer program product are also provided.

Abstract: The method, apparatus and computer program product described herein is configured to train and deploy a predictive model that is configured to generate a predicted ROI value for a provider with respect to a current promotion or a future promotion. An example embodiment may comprise receiving input indicative of one or more attributes of a provider or a promotion. The example embodiment may further comprise generating at least one of a predicted return on investment (ROI) value or a predicted ROI component value based at least in part on the one or more attributes of the provider or the promotion and a ROI prediction model. The method may further still comprise generating a merchant impact report including the at least one of the predicted ROI value or the predicted ROI component value for the promotion.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: The method, apparatus and computer program product described herein is configured to train and deploy a predictive model that is configured to generate a predicted ROI value for a provider with respect to a current promotion or a future promotion. An example embodiment may comprise receiving input indicative of one or more attributes of a provider or a promotion. The example embodiment may further comprise generating at least one of a predicted return on investment (ROI) value or a predicted ROI component value based at least in part on the one or more attributes of the provider or the promotion and a ROI prediction model. The method may further still comprise generating a merchant impact report including the at least one of the predicted ROI value or the predicted ROI component value for the promotion.

Abstract: The unified payment system, product and method provide an effective and efficient way to better communicate to a merchant the value of running a promotion and determine a deal structure that works for the merchant, the customer, the promotion system, or any combination thereof. The unified payment system, product and method provide real-time ROI calculations that a merchant and sales representative can collaboratively simultaneously work on to identify a deal structure for the merchant to select. In this way, the merchant and sales representative may arrive at a mutually acceptable payment plan.

Abstract: Provided herein are system, methods and computer readable storage media in facilitating the determination of provider parameters, such as a provider margin, for a promotion of the provider's goods, services, and/or the like in an agreement between the provider, also known as a merchant, and a promotion and marketing service that is configured to illustrate or otherwise inform consumers of the availability of one or more instruments for a promotion. In providing such functionality, the system may be configured to, for example, receive provider characteristic data, determine historical provider information, receive provider promotion structure data, determine a provider profile, determine a positive return on investment threshold, and transmit a provider parameter.

Abstract: A method, apparatus, and computer program product are disclosed to improve selection of promotion pricing parameters. The method may determine one or more promotion pricing parameters for a promotion that is offered by a promotion and marketing service. The method includes generating one or more predictive models based on historical promotion performance data and generating a revenue equation using the one or more predictive models. The revenue equation provides an estimate of a revenue received by the promotion and marketing service based on the one or more predictive models. The method further includes determining an estimated revenue using the revenue equation based on one or more input sets of promotion pricing parameters provided as input to the revenue equation, and selecting at least one of the input sets of promotion pricing parameters for the promotion based on the estimated revenue. A corresponding apparatus and computer program product are also provided.

Abstract: Provided herein are system, methods and computer readable storage media in facilitating the determination of provider parameters, such as a provider margin, for a promotion of the provider's goods, services, and/or the like in an agreement between the provider, also known as a merchant, and a promotion and marketing service that is configured to illustrate or otherwise inform consumers of the availability of one or more instruments for a promotion. In providing such functionality, the system may be configured to, for example, receive provider characteristic data, determine historical provider information, receive provider promotion structure data, determine a provider profile, determine a positive return on investment threshold, and transmit a provider parameter.