2026-10-11T09:14:44Z https://www.scidb.cn/oai

10.57760/sciencedb.msdc.00006 2024-05-27T14:58:35Z

2024-05-27 Customer Classification Method in theMetrological Industry Based on the PRFMModel doi:10.57760/sciencedb.msdc.00006 en In the metrological industry, customer classification traditionally relies on the quantity of metering instruments, resulting in broad categorizations such as key and general customers. However, this approach lacks the necessary granularity for effective classification. Recognizing the significance of calibration period duration in assessing customer value within this industry, this study introduces the variable 'Period' to augment the traditional Recency Frequency Monetary model, yielding the Period Recency Frequency Monetary model. This model facilitates more accurate evaluation of customer value and categorization within the metrological industry. Empirical testing validates the efficacy of this method, which not only aligns with industry requirements but also extracts valuable insights from customer data, thus laying the groundwork for personalized service provision. metrological industry; customer segmentation; period recency frequency monetary model; customer value matrix Peiqiang Zheng Libin Jiang Yanhong Lin Xiling Ye Wu Tang Song Huang Huanghui Zhang PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank