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With the rapid development of the Internet economy, the survival and development of e-commerce APP is more and more reflected in the differences in competitiveness. With the advent of the era of big data, data has been growing explosively. Massive data is continuously updated and data types are varied. In the face of these circumstances, the traditional comprehensive evaluation method has shown great limitations. Stickiness is an important indicator to measure brand competitiveness. This paper selected eleven users' stickiness indicators of e-commerce APP, based on network platform data, combined Adaboost algorithm based on data-driven principles to improve TOPSIS method, the results verify the feasibility of the model for consumption The selection of the person, the development of the enterprise itself, and the formulation of government policies provide a reference.