Systems and methods for intelligent promotion design with promotion selection

A computer program product comprising a non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform the steps of:

• receiving a plurality of test offers, wherein each test offer comprises a plurality of variable values for a plurality of variables that correspond to a plurality of features of the test offer, wherein receiving the plurality of test offers comprises:
• defining values for each variable in the plurality of offers;
• generating a matrix of all variable value combinations;
• and
• applying heuristics to reduce variable value combination sets, wherein the reduced variable value combinations constitute the plurality of offers;
• converting the combination of variable values for each of the plurality of test offers into a vector;
• generating all possible test offer pairings based on the plurality of test offers;
• for each of the generated possible test offer pairings, subtracting a first offer vector for a first test offer of the pairing from a second offer vector for a second test offer of the pairing;
• generating normalized score per pairing based on, for each pairing, the subtraction of the first offer vector from the second offer vector of the pairing;
• predicting an estimated score for each test offer of the plurality of test offers based on the generated normalized scores, wherein predicting the estimated scores comprises:
• applying a neural network to the generated normalized scores;
• ranking the plurality of test offers based on the predicted estimated scores;
• selecting a configured number of offers with highest scores based on the ranking;
• and
• administering a subset of the plurality of test offers to a population of users.