However, customer lifetime value models usually ignore the impact of abnormal events due the lack of data, and therefore overestimate/underestimate the true customer lifetime value.

• 然而受限于资料取得不易，顾客终身价值模型通常忽略异常事件对顾客终生价值所造成的干扰，导致估计值与实际值的偏离。