Many friends understand the importance of data analysis. Without good data analysis tools and methods at hand, it is naturally difficult to draw conclusions that have certain guiding significance for operation. Faced with a large number of messy paper data, managers often fall into a kind of doubt about the data and think that data analysis is of little use and give up trying.
Next, briefly introduce how to use the fitness management system to analyze the membership check-in data.
First, member sign-in data-the core index to enhance the popularity of venues
Data and charts come from: Fitness Assistant Management System-Data Cube
The member check-in record is the data that most clubs have, which is very simple. However, few clubs can really grasp the essence of occupancy data. The main reason is that the dimension of check-in frequency analysis is not enough, which leads managers to be helpless in the face of dry figures. So from which dimensions should we analyze the occupancy data?
First of all, we can quickly locate the active members of the club from the number of sign-ins. For example, in the following club, 277 members signed in more than ten times in June, so these 277 users are the core users of our club, and these users have played a vital role in the popularity of the club. Then our coach should focus on following up and paying attention to these users and have the opportunity to develop recommended resources;
Secondly, we can focus on promoting some activities aimed at members who have signed in 1- 10, such as challenging to sign in, giving small gifts to members who have signed in more than 10, and signing in the ranking competition. , so as to make the signing-in club into a large-scale interactive game, then the users of the club will naturally help us continuously improve the visibility of the club;
Finally, what about members who didn't sign up last month? Here, you can screen out the members who have not signed in in the last three months, arrange coaches to follow up one by one, understand the real situation of members, and even help members to re-formulate training plans and try their best to save the members who are about to die. You know, the cost of retaining an old customer may be only one tenth of the cost of developing a new customer.
Dimension analysis of check-in time
Data and charts come from: Fitness Assistant Management System-Data Cube
When we know that different maintenance methods are adopted for different groups of people and various activities are held to enhance the popularity of the club, how can we clearly analyze the effects of the activities so as to make targeted improvements? Next, we need to compare the occupancy data of different months.
Comparison of monthly check-in time
Data and charts come from: Fitness Assistant Management System-Data Cube
As can be seen from the above figure, the user activity of this club is very high this year, with an average of about 8,000 sign-ins per month, and the data is very stable. However, due to the influence of holidays, the data does not look particularly accurate. For example, June is lower than May. How can we rule out the impact of holidays on data? It is a better way to look at the ring data;
Year-on-year comparison of check-in time
Data and charts come from: Fitness Assistant Management System-Data Cube
As for China in the above picture, it can be clearly seen that due to the Spring Festival holiday and winter weather in February and January, the number of people signing in is relatively small, while in March, April and May, the number of people signing in is relatively large, and it starts to decline slightly in June and picks up slightly in September. How to judge whether the operation of our club is healthy? The picture above is a good example. Although the club's sign-in data in June has declined, it has obviously improved every month compared with last year, and the growth rate is also increasing, which shows that the club's maintenance and service for its members are in place, and it will definitely reach a very beautiful performance level this year!