As energy demand grows and competition in the energy industry intensifies, energy suppliers are becoming increasingly important to increase data revenue. With the rapid development of internet technology, the speed of data growth has approached saturation. How to maintain stability and continuously explore customer value in increasingly fierce competition has become an important issue for enterprises. Therefore, it is necessary to establish a complete, effective, reasonable, and efficient energy use service system and design precise marketing models. This article mainly applied the methods of comparative analysis and algorithm experiments to analyze the digital methods of precision marketing for energy services. The experimental results showed that the precision marketing algorithm successfully applied outbound marketing to 181 people.