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, and combine it with its own situation to deal with poor projects. Make optimization adjustments and improve the operation model day by day, so that the community or store can thrive. Today, Huanhuan is here to share with you some data that needs to be analyzed for community operations? What method is needed to analyze? 1. Data analysis of group members 01 New number of people New number of people represents the vitality of the community. It refers to the number of people added in the community within a certain period of time. It is generally divided into three types: daily new people, weekly new people, and monthly new people. , which can help community operators understand the development trends of the community. If there are no new additions for a long time, it means that the community is not attractive enough or there is a problem with the traffic channel. 02 Number of people who have quit the group The number of people who have quit the group can generally directly reflect user satisfaction and the quality of community operations. It refers to the total number of people who have left the group within a certain period of time, which is divided into three types: the number of people who have left the group daily, the number of people who have left the group every week, and the number of people who have left the group monthly. A small number of people quitting the community indicates that users are satisfied with the current situation of the community. A large number of people quitting the group indicates that there are major problems in community operations, and community operators need to investigate and deal with problems that users are dissatisfied with as soon as possible. 03Active user community activity is an important indicator to measure the quality of the community. Before counting active users, it is necessary to determine the "active standard", for example, speaking at least once a day, active users/total number of people in the community = community activity. When activity is low, operators need to reflect on whether the community model is wrong or whether the link is not done well. 04 Activity Participating Users Activity participating users can reflect the enthusiasm and activity quality of community users. The number of activity participants/total number of people in the community = activity participation. 05 User stickiness User stickiness is a relatively complex indicator project, 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 the importance that users attach to the community. When user stickiness is poor, community operators Investors need to carefully analyze the reasons behind it and take targeted measures. 2. Content data analysis 01 Message time analysis mainly analyzes the relationship between messages and time. The cycle can be set to 24 hours or 1 week. The specific standard is set by the operator. Through the analysis of the distribution time of the message, the social Group operators can determine the active time points in the community, so as to arrange activities, sharing, push and other content at the active time points of the community, greatly increasing the activity participation rate and user enthusiasm in the community, and at the same time improving user satisfaction. 02 Topic Analysis Community operators summarize and organize all the messages in the community, screen out the main topics with a high proportion, do data statistics, and better analyze the topics that community users like, so as to profile the users and conduct activities. , making that activity and marketing behavior more popular. 03 High-frequency word analysis refers to the words that appear the most times in the community at the same time, which is helpful for operators to profile users and help find the preferences and concerns of users in the group, thereby improving the quality of community operations. 3. Business data 01 Conversion rate is the most common data in business data. It is an important indicator to measure the effectiveness of community operations. Conversion rate = the number of people who generate value within the scope / the total number of people within the scope. The conversion rate is generally the higher the better. The operation of the community needs to think about how to improve the conversion rate. 02 Marketing Amount Statistics The purpose of marketing amounts is mainly for external display and profit calculation, and to increase the visibility of the community. The profit calculation is for better business analysis. Marketing amount = customer unit price * sales volume. 03 Customer unit price Customer unit price is an important indicator to measure a community marketing. Although high customer unit price means high profit, it is not that higher is better. It needs to be determined based on the actual situation of the community. Price per customer = Total amount of valid orders (transacted)/Total number of paying people. 04 Profit rate is also a very important indicator in the community. It directly affects the income of community operators and is a relative indicator that reflects the profit level of the community within a certain period of time. Profit = marketing amount - total cost (including taxes and other miscellaneous expenses), profit margin - profit ÷ cost × 100%. 05 The number of members is the core indicator in community operations. 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 complete and conduct in-depth investigations into users’ unwillingness. Add reasons and then optimize them. Today, social data analysis will be introduced here first. Friends who want to know more are welcome to ask questions at any time! 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