A marketing strategy generation method and related apparatus

Abstract

This application discloses a marketing strategy generation method and related apparatus, applicable to the field of artificial intelligence. The method first acquires user behavior data and text feedback data; then, it vectorizes the behavior data and text feedback data to obtain user vectors; next, it determines the motion trajectory type and transition resistance distance of the user vector relative to a target cluster within a preset period; then, it extracts semantic features from the text feedback data to identify resistance factors hindering the user vector's movement from its current position to the target position; finally, based on the motion trajectory type, resistance factors, and transition resistance distance, it generates a marketing strategy using a large language model; the marketing strategy includes benefit value and marketing text. Thus, by deeply integrating vectorization technology, vector space analysis technology, and large language model technology into digital marketing scenarios, personalized marketing strategies can be provided for different users, significantly improving the accuracy of marketing interventions.

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