Stores are diverse, and the problems they face at different stages, in different market environments, and in different product cycles are also different. Therefore, when analyzing stores, it is necessary to conduct targeted analysis in accordance with the characteristics of the current stores, and continuously adjust and optimize.
(1) Insufficient exposure.
The number of clicks is not high
The feedback rate is not high
(2) The consultation rate is not high
(3) The feedback rate is not high
(4) The TM consultation rate is not high
At present, Alibaba International Station has fully entered the video era, and high-quality resources will tend to be products with main picture videos. The main function of product videos is to achieve the effect of video marketing, hoping that customers can better understand the product and company through videos, so as to obtain inquiries. Video data can objectively reflect the increase in the number of product inquiries caused by video playback. In the data section, you can see the relevant data of the videos of related products and the actual conversion of video data to the number of product inquiries, and then make targeted adjustments.
The merchant’s credit insurance transaction label and search traffic weighting can increase exposure opportunities. The credit insurance transaction amount, number of transactions, transaction amount and buyer evaluation displayed by the merchant on the buyer’s page can all demonstrate the company’s strength and increase the buyer’s trust.
The employee analysis module of Data Manager can analyze the performance of each employee. For example, the ranking of product clicks and inquiries can show the operating performance of employees on the platform. By analyzing the cases of outstanding employees, we can help other employees optimize products.