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Embodiments of the present application provide a promotion strategy generation and model training method, a computing device, a medium and a product. In the method, a service end responds to a strategy generation event, obtains multi-dimensional target data corresponding to a target account, and a rule portrait label and a rule confidence corresponding to a matched first rule; a portrait generation model is used to identify the basic features of the multi-dimensional target data and determine the association strength thereof with the first rule; the rule confidence is combined to identify the rule features of the first rule; the weighted features of the basic features and the rule features are calculated based on the association strength, the target portrait label is generated based on the weighted features and the prior features of the rule portrait; the decision maker information and the portrait summary information of the target account are determined based on the target portrait label, the promotion object is determined based on the portrait summary information and the decision maker information as a guide, and the promotion strategy for the promotion object is generated. The present application can improve the generation efficiency and accuracy of the promotion strategy.