Abstract: A computer implemented method for response tracking is described. The method includes obtaining one or more responses to one or more promotions, attributing the one or more responses to one or more treatment instances, with the one or more treatment instances correspond to a promotion version assigned to a group of contact entities at an execution of a computer implemented marketing campaign, and generating a response table, the response table including one or more entries, the entries in the response table being in accordance with attribution of the one or more responses to one or more treatment instances.

Abstract: A method for promotion management is described. The method includes producing a promotion instance from a promotion template, setting one or more attribute fields of the promotion instance, assigning the promotion instance to a group of contact entities, and executing on a computer a marketing campaign based on the setting of the one or more attribute values to the promotion instance.

Abstract: A method for producing a promotion is described. The method includes assigning a plurality of basic attributes to the promotion, assigning one or more standard or custom attributes to the promotion, the one or more standard or custom attributes including one or more of a parameterized attribute or a static attribute, and storing the promotion at a location in an electronic medium.

Abstract: A computer implemented method for producing a promotion list for a promotion management campaign is described. The method includes assigning one or more promotion instances to the promotions list, and storing the promotion list in an electronic medium.

Abstract: A computer implemented method for target group management is described. The method includes producing a table including one or more group entries corresponding to one or more defined contact group entities with each of the entries having a first set of group attributes, and producing a visual representation of a marketing campaign, the representation including one or more instances of defined contact group entities, with the one or more instances having a second set of group attributes and with the representation linked to the table according to the second set of group attributes.

Abstract: A method for optimizing transactions to customers from a list of transactions is described. The method includes generating a frequency distribution of scores for each offer based on at least one constraint, determining a score threshold based on the frequency distribution of scores, and adding or removing transactions from the list of transactions based on the score threshold.

Abstract: A method executed on a computer for modeling expected behavior is described. The method includes scoring records of a dataset that is segmented into a plurality of data segments using a plurality of models and converting scores of the records into probability estimates. Two of the techniques described for converting scores into probability estimates are a technique that transforms scores into the probabilities estimates based on an equation and a binning technique that establishes a plurality of bins and maps records based on a score for the record to one of the plurality of bins.

Abstract: A method executed on a computer for modeling expected behavior is described. The method includes scoring records of a dataset that is segmented into a plurality of data segments using a plurality of models and converting scores of the records into probability estimates. Two of the techniques described for converting scores into probability estimates are a technique that transforms scores into the probabilities estimates based on an equation and a binning technique that establishes a plurality of bins and maps records based on a score for the record to one of the plurality of bins.

Abstract: A method executed on a computer for modeling expected behavior is described. The method includes scoring records of a dataset that is segmented into a plurality of data segments using a plurality of models and converting scores of the records into probability estimates. Two of the techniques described for converting scores into probability estimates are a technique that transforms scores into the probabilities estimates based on an equation and a binning technique that establishes a plurality of bins and maps records based on a score for the record to one of the plurality of bins.

Abstract: Version testing in database based marketing includes building a model for each version, based on a random test sample of potential contacts selected from a data set for each version, scoring the dataset of records of potential contacts using each version's model to produce model scores for each version and converting the model scores for each version into response rate predictions. Techniques to represent the results of scoring the dataset are described.

Abstract: A method for presenting measurements of modeling performance for a plurality of modeling algorithms is described. The method displays a lift chart on an output display device. The lift chart has at least three lift curves, each of said three lift curves corresponding to a result obtained from executing one of the plurality of modeling executions with each lift curve being rendered on the output device using a different, visual indicia.