Indicators for measuring community health

Whether it is community operation or store operation, the most important thing is data. Every operator needs to clearly and accurately understand the value and significance of each data, optimize and adjust the poor projects according to his own situation, and improve the operation mode day by day, so as to make the community or shop prosper. What data do you need to analyze about community operation today? What methods do you need to analyze? 1. Data analysis of group members 0 1 The number of new members represents the vitality of the community and refers to the number of new members in the community within a certain period of time. Generally, it can be divided into three types: daily increase, weekly increase and monthly increase, which can help community operators understand the development trend of the community. If it is not added for a long time, it means that the attraction of the community is not enough or there is a problem with the drainage channel. The number of people who quit the group can generally directly reflect the user satisfaction and the quality of community operation. Refers to the total number of people who leave the group within a certain period of time, which is divided into three types: daily withdrawal, weekly withdrawal and monthly withdrawal. The small number of people leaving the community indicates that users are satisfied with the current situation of the community, while the large number of people leaving the community indicates that there are big problems in community operation, and community operators need to investigate and deal with the problems that users are dissatisfied with as soon as possible. The community activity of active users is an important index to measure the quality of the community. Before counting active users, it is necessary to determine the "activity standard", such as speaking at least once a day, and the total number of active users/communities = community activity. When the activity is low, operators need to reflect on whether the community model is wrong. 04 users participating in activities Users participating in activities can reflect the enthusiasm of community users and the quality of activities, and the number of participants/total number of communities = the number of participants in activities. User stickiness User stickiness is a complex index item, and different communities have different calculation methods. Generally speaking, community operators will first divide user stickiness into three levels: high, medium and low. User stickiness changes with users' attention to the community. When user stickiness is poor, community operators need to carefully analyze the reasons behind it and formulate targeted measures. Second, content data analysis 0 1 message time analysis mainly analyzes the relationship between message and time. The cycle can be set to 24 hours or 1 week, and the specific standard is set by the operator. By analyzing the distribution time of messages, community operators can get the active time points in the community, so as to arrange activities, share, push and other contents at the active time points in the community, which greatly improves the participation rate of activities in the community and the enthusiasm of users. At the same time, 02 topic analysis: community operators sort out all the news in the community, screen out the main topics that account for a high proportion, make statistics, and better analyze the topics that community users like, so as to portrait users and then do activities. High-frequency word analysis refers to the words that appear most frequently in the community at the same time, which is helpful for operators to draw portraits of users, help to find users' preferences and concerns in the user group, and thus improve the quality of community operations. Third, business data 0 1 conversion rate is the most common data in business data and an important indicator to measure the effect of community operation. Conversion rate = number of people generating value in the interval/total number of people in the interval, and the higher the conversion rate, the better. The operation of community needs to think about how to improve the conversion rate. The purpose of marketing amount statistics marketing amount is mainly to show and calculate profits to improve the visibility of the community, and profit calculation is to better analyze the business. Marketing amount = customer unit price * sales volume. Customer unit price Customer unit price is an important index to measure a community marketing. Although high customer unit price means high income, it is not the higher the better, and it needs to be combined with the actual situation of the community. Customer unit price = total amount of valid orders (transaction)/total number of payers. Profit rate is also a very important indicator in the community, which directly affects the income of community operators and is a relative indicator reflecting the profitability of the community in a certain period. Profit = marketing amount-total cost (including taxes and fees), profit rate-profit-cost × 100%. The number of members is the core index of community operation. The more members, the better the marketing effect. When the number of members grows too slowly, community operators need to check whether the community membership system is perfect, thoroughly investigate the reasons why users are unwilling to join, and then optimize it. Today, community data analysis is introduced here first. Want to know more friends, please feel free to ask questions! Special statement: This issue is mainly about collecting and publishing dry goods knowledge related to Internet e-commerce operation to provide convenience for operating partners. 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