If member data cannot be fully synchronized, then the key to driving sales through OMO will be lost. By allowing consumers to naturally move between online and offline, and capturing member data from multiple channels, more precise marketing strategies can be developed, thus creating a flow cycle of continuous repurchasing that consumers are willing to engage in.
Assisting store clerks with system tools to access complete customer purchase records. Extending personalized experiences to physical stores to create a complete virtual and real integrated marketing scene and effectively converting traffic into revenue.
By cross-referencing orders, member and product data, customers can be segmented according to their consumption life cycle. The RFM model and AI analysis are used to label customers based on their lifetime value and product preferences, allowing for effective interaction and automated marketing.
Through the intrgrated customer data and user behavior on GA4, AI will identify user attributes and use the customer repurchase list as the basis for advanced prediction of potential purchasing motivations, laying out the most effective product combinations, channels, and media communication channels.