极光风控营销分

极光风控营销分是基于2000+极光用户因子的特征表现，结合营销场景，通过设置营销分模型，即通过线上行为赋予不同权重，计算出的一系列针对营销场景的分数，最终得到衡量用户匹配度的分值。基于获得用户授权的入参信息，圈中命中模型的人群，并针对每个用户给予模型评分，输出用户ID+分值供客户进行营销。在拉新、促活等营销场景，能筛选出高意愿、优质客户。Aurora Risk-Control Marketing Score is a series of scenario-specific scores calculated for marketing scenarios. It is developed based on the feature performance of over 2000 Aurora user factors, combined with actual marketing scenarios, by constructing a marketing scoring model that allocates varying weights based on users' online behavioral data, ultimately yielding a score that quantifies the degree of user-marketing scenario matching. Based on the input parameter information obtained with explicit user authorization, the model identifies the user group that meets the model's screening criteria, assigns model scores to each individual user, and outputs user IDs paired with their corresponding scores for customers to conduct marketing operations. In marketing scenarios such as customer acquisition and user activation, it can effectively screen out high-intent and high-quality customers.

搜集汇总

背景与挑战

背景概述

极光风控营销分是基于2000多个用户因子特征，采用机器学习算法计算得出的营销场景评分，用于识别高意愿客户以优化拉新、促活等营销活动。该数据通过API提供，输出用户ID及其对应的匹配度分值。