A Precision-marketing Business Analysis Method Based on Regression Tree Model
Digital marketing is the general trend of telecom operators in customer value mining and ownership maintenance.At present,Business Specialist are actively using various machine learning models to circle the target customer groups to support the subsequent in-depth and accu-rate marketing work,but the"black box"machine learning model,which is not easy to under-stand,has brought huge challenges to business personnel's marketing strategy formulation.This paper innovatively proposes a model interpretable method,which reversely interprets the for-ward machine learning mining model through the regression tree algorithm,thus dialyzing the business rule chain with obvious characteristics differences,and helping business personnel to a-chieve precision marketing and refined decision-making.The results show that under the same access channels and marketing techniques,the conversion rate of marketing customers using the model's reverse explanation ability is significantly better than that of marketing results without the model's reverse explanation ability.
machine learningPrecision marketingRegression tree modelFeature subdivision Automated mining modeling
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