I have improved these indicators, whether the renewal rate is certain or has a high probability of increasing; Whether these indicators are significantly different in different customer tiers, contract stages, customer executive list stages, customer sources, and maintenance groups; Do I systematically monitor and maintain these indicators, and do I have a relatively scientific data collection executive list system? If you have relatively complete data before, basically after these analyses are done, you can probably get a relatively accurate report on the reasons for customer churn. With these data, you basically have a general judgment! 2. Qualitative analysis of renewal rate.
I have done quantitative analysis and have already obtained the data report. Why do I need to do quantitative analysis? Data executive list doesn't lie. In fact, what I want to say is that data can sometimes be deceiving! Because sometimes your basic data may be wrong from the beginning. For example, your criteria for measuring product value and users' pain points and needs do not exactly executive list match, your data collection system is not very scientific, the data you get is too one-sided, etc. are likely to cause these results. So at this time, we also need to do some qualitative analysis to verify the feasibility of our data report, including collecting customer churn reason reports and customer interviews. 1) .
CSM needs to record the reasons for the loss of customers in detail every month, whether it is KP replacement, replacement of executive list competing products, bankruptcy, the system is not in use, the demand is not satisfied or other reasons, because CSM is in contact with customers every day, Has been following executive list up on the customer's usage, he is the most aware (should be) the reason why the customer does not renew. 2) It is necessary to visit some customers who have broken the contract offline, and ask the customer why they did not renew the contract.