Abstract: In an approach to mapping marketing triggers across geographies, a computer receives one or more variables associated with one or more rulesets. A computer retrieves data corresponding to the one or more variables. A computer sorts the retrieved data by season. A computer computes a seasonal average for each variable by associated postal code. A computer trains a self-organizing map to arrange the data associated with the source geography postal codes into one or more source clusters. A computer maps the retrieved data and the computed data associated with the target geography to the one or more source clusters, thereby creating target counterpart clusters that correspond with at least one of the one or more source clusters. A computer applies one or more cluster rulesets associated with the one or more source clusters to the corresponding one or more target counterpart clusters. A computer outputs one or more bucket sheets.