Abstract: Methods, systems, and computer program products are included for providing a predicted outcome to a user interface. An exemplary method includes receiving, from a user interface, a plurality of identifiers that identify objects. At the user interface, a target success function is selected corresponding to the plurality of identifiers. The target success function is mapped to at least one attribute of one or more attributes of the objects. The at least one attribute of the objects and one or more other attributes are queried. Data values are retrieved corresponding to the queried at least one attribute and the one or more other attributes. Based on the data values, an outcome of the target success function is predicted. The predicted outcome is provided to the user interface.

Abstract: Methods, systems, and computer program products are included for providing a predicted outcome to a user interface. An exemplary method includes receiving, from a user interface, a plurality of identifiers that identify objects. At the user interface, a target success function is selected corresponding to the plurality of identifiers. The target success function is mapped to at least one attribute of one or more attributes of the objects. The at least one attribute of the objects and one or more other attributes are queried. Data values are retrieved corresponding to the queried at least one attribute and the one or more other attributes. Based on the data values, an outcome of the target success function is predicted. The predicted outcome is provided to the user interface.

Abstract: There are provided systems and methods for iteratively improving an advertisement response model. A payment provider may perform operations that include training an advertisement response model using a training data set. The operations include determining that a first accuracy value corresponding to the advertisement response model is less than a accuracy value threshold. The operations further include identifying, based on executing the advertisement response model using a target data set that is different from the training data set, one or more units from the target data set for which to run the advertising campaign. The operations also include receiving one or more responses corresponding to a run of the advertising campaign with respect to the identified one or more units from the target data set and updating the training data set based on the one or more responses.

Abstract: There are provided systems and methods for iteratively improving an advertisement response model. A payment provider may perform operations that include training an advertisement response model using a training data set. The operations include determining that a first accuracy value corresponding to the advertisement response model is less than a accuracy value threshold. The operations further include identifying, based on executing the advertisement response model using a target data set that is different from the training data set, one or more units from the target data set for which to run the advertising campaign. The operations also include receiving one or more responses corresponding to a run of the advertising campaign with respect to the identified one or more units from the target data set and updating the training data set based on the one or more responses.

Abstract: There are provided systems and methods for predicting merchant behavior using merchant website terms. A payment provider may provide payment services for merchants. The payment services may be used by users to provide payments to the merchants. The payment provider may further process interfaces provided by the merchant, such as website interfaces, webpages, and/or dedicated application interfaces to determine terms used on the interfaces, such as words, sentences, and graphics. The payment provider may associate the terms with analytics for each of the merchants, including the merchant type, total payment volume, and other merchant data. Using the processed term data, the payment provider may identify prospective merchants that may wish to utilize the payment provider's services. Additionally, the payment provider may provide analytics to the prospective merchants and/or update the payment provider's currently enrolled merchants with additional analytics and information based on the term information.

Abstract: There are provided systems and methods for iteratively improving an advertisement response model. A payment provider may perform operations that include training an advertisement response model using a training data set. The operations include determining that a first accuracy value corresponding to the advertisement response model is less than a accuracy value threshold. The operations further include identifying, based on executing the advertisement response model using a target data set that is different from the training data set, one or more units from the target data set for which to run the advertising campaign. The operations also include receiving one or more responses corresponding to a run of the advertising campaign with respect to the identified one or more units from the target data set and updating the training data set based on the one or more responses.

Abstract: An instant disposable payment card can have a quick response (QR) code. The QR code can be scanned by the user. Scanning the QR code can facilitate activation and/or funding of the instant disposable payment card and/or can facilitate a creation of an account or an activation of a pre-created account at a payment system provider. The user can then use the instant payment card to pay for purchases. A merchant can scan the QR code or swipe a magnetic strip of the instant disposable payment card to effect payment to the merchant for the purchase. An account of the instant disposable payment card can be funded after use thereof to make a purchase.

Abstract: Methods, systems, and computer program products are included for providing a predicted outcome to a user interface. An exemplary method includes receiving, from a user interface, a plurality of identifiers that identify objects. At the user interface, a target success function is selected corresponding to the plurality of identifiers. The target success function is mapped to at least one attribute of one or more attributes of the objects. The at least one attribute of the objects and one or more other attributes are queried. Data values are retrieved corresponding to the queried at least one attribute and the one or more other attributes. Based on the data values, an outcome of the target success function is predicted. The predicted outcome is provided to the user interface.

Abstract: There are provided systems and methods for predicting merchant behavior using merchant website terms. A payment provider may provide payment services for merchants. The payment services may be used by users to provide payments to the merchants. The payment provider may further process interfaces provided by the merchant, such as website interfaces, webpages, and/or dedicated application interfaces to determine terms used on the interfaces, such as words, sentences, and graphics. The payment provider may associate the terms with analytics for each of the merchants, including the merchant type, total payment volume, and other merchant data. Using the processed term data, the payment provider may identify prospective merchants that may wish to utilize the payment provider's services. Additionally, the payment provider may provide analytics to the prospective merchants and/or update the payment provider's currently enrolled merchants with additional analytics and information based on the term information.

Abstract: An instant disposable payment card can have a quick response (QR) code. The QR code can be scanned by the user. Scanning the QR code can facilitate activation and/or funding of the instant disposable payment card and/or can facilitate a creation of an account or an activation of a pre-created account at a payment system provider. The user can then use the instant payment card to pay for purchases. A merchant can scan the QR code or swipe a magnetic strip of the instant disposable payment card to effect payment to the merchant for the purchase. An account of the instant disposable payment card can be funded after use thereof to make a purchase.

Abstract: An instant disposable payment card can have a quick response (QR) code. The QR code can be scanned by the user. Scanning the QR code can facilitate activation and/or funding of the instant disposable payment card and/or can facilitate a creation of an account or an activation of a pre-created account at a payment system provider. The user can then use the instant payment card to pay for purchases. A merchant can scan the QR code or swipe a magnetic strip of the instant disposable payment card to effect payment to the merchant for the purchase. An account of the instant disposable payment card can be funded after use thereof to make a purchase.