If you generated a report on clients who used your services for a long time, and then suddenly stopped, then you could well find such clients who for some reason were dissatisfied with your service. Identified dissatisfied customers must be interviewed and mark the answer of each in the client card , indicating the date and reason for leaving. The list of reasons here is self-learning - this means that when you enter a reason, you can then select it again from this list. However, you should not create many variants of the same reasons, because if they differ in the description, then you will not be able to see statistics on them, since they will be considered separate reasons. It is better to identify a small number of the main reasons for the disappearance of clients and use them.
If you do not have the opportunity to call everyone on your own, then simply prepare templates for requesting feedback and create a mass mailing from the report on disappeared customers using a communication method convenient for you: SMS, E-mail, Viber or voice call. This will allow you not to waste time, but to get answers on the reasons for leaving at least some of the clients.
Why do clients leave? The reasons are different. The analysis of the identified causes will be carried out by our professional software. This will be done with a report. "Gone" .
This analytical report will show the total number of reasons for leaving. The ratio of causes will be visible, which will help to highlight the main ones. The dynamics of changes in the number of dissatisfied customers will also be clear. If you work on bugs in a timely manner, then the number of incidents should not grow, but decrease.
If poor care or service delivery is often cited as one of the reasons for leaving, then you can generate a report on the retention of your patients by doctors for a quick analysis of which of them clients return again and who work once.
If the reason is high prices, you can try to assess the purchasing power of customers using the 'Average check' report to understand how much people are willing to pay for services.
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Universal Accounting System
2010 - 2024