Method and system for monitoring customer sentiment value
A customer-perceived value and customer-perceived technology, which is applied in the field of customer-perceived value monitoring methods and monitoring systems, can solve problems such as inability to satisfy customer satisfaction and fail to reflect the trend of customer emotional changes, so as to facilitate viewing and prevent customers from Churn, wide-source effects
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Embodiment 1
[0054] Embodiment 1. A method for monitoring customer perceived value. Combine below Figure 1-Figure 5 The method provided in this embodiment is described.
[0055] See figure 1 The method provided in this embodiment includes: S1, collecting customer perception data reflecting the customer's perceived value.
[0056] Specifically, this embodiment mainly collects customer perception data, customer transaction data, customer service data, customer feedback evaluation data, and online public opinion data released by customers through social network media that reflect customer perceived value generated by customers through the Internet. The specific data sources include the following aspects: customer perception data such as customers logging in, browsing, searching, collecting, commenting, recommending, and purchasing through the Internet; sales unit price, sales amount, purchase quantity, purchase batch, payment cycle, payment method, supply Customer transaction data such as cargo...
Embodiment 2
[0069] Embodiment 2. A monitoring system for customer perceived value. Combine below Image 6 The system provided in this embodiment is described.
[0070] See Image 6 The system provided in this embodiment includes a data collection module 60, a denoising module 61, a data extraction module 62, a dimension division module 63, a signal score calculation module 64, a signal component value calculation module 65, a customer perception index calculation module 66, The change trend analysis module 67, the early warning module 68, and the display module 69.
[0071] Among them, the data collection module 60 is used to collect customer perception data reflecting customer perception value.
[0072] The noise removal module 61 is configured to remove interference data and noise data in the collected customer perception data.
[0073] The data extraction module 62 is configured to establish a data model for the collected customer perception data, and extract customer perception data with rep...
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