To deal with the issues behind the long duration of time it takes to make the current e-business precision marketing strategies, resulting in the low rates of accuracy in marketing operations, this paper explores the idea of improving the efficacy of the afore-mentioned strategies by incorporating big data and AI. The paper first develops a unified framework of e-business precision marketing strategies, the notion of precision marketing in e-business and examines the different properties, including correlation, interaction and data dimensionality which affect e-business precision marketing strategies The proposed model achieved a significant reduction in marketing time (as low as 213.12 units) and demonstrated superior accuracy, with marketing error reduced to as low as 91.32, compared to over 213 in baseline models. Furthermore, the model achieved a marketing result score of 12212.34, indicating its practical advantage in optimizing marketing effectiveness. The conducted simulation experiments indicate that the proposed model is practical, since it has a low time consumption and high marketing accuracy.