The introduction of smart meter technology and electricity retail tariffs plays an important role in the open electricity retail market, and the most widely used retail pricing in the current market is the Time-of-Use (ToU) Pricing tariffs. However, the diversity of TOU tariffs brings more complexity to the choices of electricity customers. Therefore, a retail ToU pricing tariff decision-making model based on customer satisfaction and neighbor influence from social network is proposed. The model first needs to extract features and create profiles for each customer, and establish a customer satisfaction model based on the electricity price tariff characteristics and customer characteristics, which comprehensively considers the satisfaction of customers in four dimensions: electricity consumption, electricity consumption habits, electricity expenditure, and household electrification degree.