The work aims to use the experiential memory model in the optimization research of service touchpoints, select service touchpoints (threat touchpoints) to be optimized based on a combination of experiential and mnemonic factors and develop a service touchpoints optimization strategy based on the experiential memory model. Firstly, the user group was categorized and determined based on the specific service system, and a user profile was established. The acquisition of service touchpoints was based on behavior tracking, followed by an evaluation of their experience using the scaling method. Secondly, three time points for memory scoring were determined according to the Ebbinghaus' forgetting curve, and quantitative users were selected to conduct memory scoring on service touchpoints individually. By combining this with the evaluation of service touchpoint experiences, an experiential memory partition map was constructed to identify potential threats within the service system. Finally, optimization suggestions for these threat touchpoints were proposed based on user needs, resulting in the final output of the service touchpoint prototype. The reliability of this strategy was demonstrated with the optimization of the park cycling service touchpoint as an illustrative example. The experiential memory model can efficiently screen service touchpoints, enhance design efficiency, and minimize service optimization costs.