Abstract: Provided herein is an apparatus configured to programmatically generate promotion templates. The apparatus may be configured to access one or more databases comprising a corpus of historical promotion data; analyze the corpus of historical promotion data such that each of one or more previously generated promotions is respectively associated with a primary service category; normalize a promotion title for each of the one or more previously generated promotions associated with a selected primary service category; parse the normalized promotion titles to extract at least one promotion parameter term from each of the normalized promotion titles; generate one or more promotion templates for the selected primary service category; and store the one or more promotion templates in association with the selected primary service category.

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 early adopters and potential influencers (EAPI) system, method and computer-readable medium provide a way to identify early adopters and potential influencers. The EAPI system obtains a list of purchases for customers of merchants and/or subscriptions from a transaction tracking system. The EAPI system creates a time-based transaction network, and using a scoring function, the EAPI system determines an early adopter and/or potential influencer ranking among customers in the network. The EAPI system may use one or more customer attributes to determine a customer's influence with respect to different dimensions.

Abstract: The rewards program system and method provide an efficient and effective way for customers to enroll in rewards programs, and accrue and redeem rewards at participating merchants. The system generates promotions, analyzes transaction data to identify whether a customer used a promotion, issued by the system (e.g., promotions provider), with a merchant. When the customer redeems a promotion, the system accrues reward amounts in a customer account, and allows the customer to redeem accrued rewards amounts. The system generates credit card profiles and customer profiles, and offers customers subsequent promotions based on the transaction data and/or the customer's customer profile. The system issues the customer subsequent promotions when the amount credited to the rewards account satisfies a redemption threshold. The subsequent promotions may be redeemable at merchants that have promotions issued by the promotion provider, including the merchant where the promotion was used that resulted in the credited amount.

Abstract: The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.

Abstract: Provided herein are system, methods and computer readable storage media in facilitating the generation of promotions based on promotion templates for 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 promotion data, determine promotion parameters, determine provider service categories, associate at least one promotion template with at least one service category, generate a promotion for a provider, and transmit a proposed promotion to a provider.

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 early adopters and potential influencers (EAPI) system, method and computer-readable medium provide a way to identify early adopters and potential influencers. The EAPI system obtains a list of purchases for customers of merchants and/or subscriptions from a transaction tracking system. The EAPI system creates a time-based transaction network, and using a scoring function, the EAPI system determines an early adopter and/or potential influencer ranking among customers in the network. The EAPI system may use one or more customer attributes to determine a customer's influence with respect to different dimensions.

Abstract: The rewards program system and method provide an efficient and effective way for customers to enroll in rewards programs, and accrue and redeem rewards at participating merchants. The system generates promotions, analyzes transaction data to identify whether a customer used a promotion, issued by the system (e.g., promotions provider), with a merchant. When the customer redeems a promotion, the system accrues reward amounts in a customer account, and allows the customer to redeem accrued rewards amounts. The system generates credit card profiles and customer profiles, and offers customers subsequent promotions based on the transaction data and/or the customer's customer profile. The system issues the customer subsequent promotions when the amount credited to the rewards account satisfies a redemption threshold. The subsequent promotions may be redeemable at merchants that have promotions issued by the promotion provider, including the merchant where the promotion was used that resulted in the credited amount.

Abstract: Systems, methods and computer readable media for providing a point-of-sale system that can be configured to facilitate the sale of products and transmit transaction data to a cloud based system are provided herein. The cloud based system can be maintained by a promotional party and be configured to generate deal offers and/or provide other services based on the transaction data received. In some embodiments, a fee may be charged for some or all of the services offered and/or the transactional data provided to the promotional system may be governed by an agreement between the promotional party and the merchant.

Abstract: A method, apparatus, and computer program product are disclosed to improve generation of fine print for promotions. The method includes receiving identifying information that identifies one or more locations and either a product or service, transmitting the identifying information, and receiving, based on the identifying information, information including a set of relevant fine print clause data structures. The method further includes displaying, by a user interface, one or more fine print clauses from the relevant fine print clause data structures and generating, using a processor, a configured fine print data structure based on the displayed fine print clauses and input received via the user interface. Finally, the method includes transmitting the configured fine print data structure. 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: The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.

Abstract: Systems, methods and computer readable media for providing a point-of-sale system that can be configured to facilitate the sale of products and transmit transaction data to a cloud based system are provided herein. The cloud based system can be maintained by a promotional party and be configured to generate deal offers and/or provide other services based on the transaction data received. In some embodiments, a fee may be charged for some or all of the services offered and/or the transactional data provided to the promotional system may be governed by an agreement between the promotional party and the merchant.

Abstract: A method, apparatus, and computer program product are disclosed to improve generation of fine print for promotions. The method includes receiving identifying information that identifies one or more locations and either a product or service, transmitting the identifying information, and receiving, based on the identifying information, information including a set of relevant fine print clause data structures. The method further includes displaying, by a user interface, one or more fine print clauses from the relevant fine print clause data structures and generating, using a processor, a configured fine print data structure based on the displayed fine print clauses and input received via the user interface. Finally, the method includes transmitting the configured fine print data structure. 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 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: The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.

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: The email suggestor system and method provide an efficient and effective way to capture a user identifier, such as an email address of a consumer in a retail environment. The email suggestor system generates one or more suggested first text portions based on input data, outputs at least one of the suggested first text portions, and receives a selection of a first text portion. The email suggestor system generates one or more suggested second text portions of a user identifier based on the input data, outputs at least one of the suggested second text portions, and receives a selection of a second text portion. The email suggestor system generates a user identifier including the selected first text portion and the selected second text portion. The email suggestor system uses received feedback response to refine and/or train one or more models with which it generates the suggested text portions.