Kindle Read: Today, to become a good "private domain people", master more and more skills and tools has become an essential prerequisite for the private domain of the common 15 models, will help you open the private domain operation of the new way of thinking private domain, is a trend in all walks of life in the layout; The "private domain traffic" is one of the hot topics all along, and the private domain operation related to pull new, community/user operation, team building organization and other tools and methods are endless. Today, to become a good "private domain people", mastering more and more skills and tools has become an essential prerequisite. The following is a list of 20 common private domain models to open up the idea of private domain operation. Private domain model catalog 1.AARRR model 2.RFM model 3.AISAS model 4.AIPL model 5.Pareto layering model 6.User pyramid model 7.User life cycle model 8.TOFA model 9.User addiction model 10.A/B testing model 11.Data analysis six-step method 12.Community fission model 13.Retention analysis model 14.User fission virus Coefficient K value model 15.Organizational structure model 16.PDCA review model 17.Private domain labeling model 18.Kano KANO model 19.OKR model 20.FAST model 1/AARRR model-PrivateDomainResearchInstitute Acquisition of Customers, Activation, Retention, Realization, Dissemination Applicable Scenarios: User Growth/Community Operation AARRR is one of the most common models in private domain operation; the essence of this model is from customer acquisition, activation, retention, realization, dissemination of these five processes, so that merchants can be found in the public domain and access to new traffic, and in order to build an exclusive traffic pool. AARRR, or five dimensions of thinking: Acquisition of users: how to turn potential users into real users? Stimulate activity: how to generate the first, sustainable interaction with users? Increase retention: what does it take to keep users? Increase Revenue: What are the ways to get users to make multiple purchases? 2/RFM Model-PrivateDomainResearchInstitute Measuring User Value Applicable Scenario: User Layering/Measuring User Value8 Customer TypesHow to Measure User Value RFM Model is a commonly used measurement tool: R (Recency): the interval between the time of the most recent transaction with the customer and the current time F (F): the interval between the last transaction with the customer and the current time. R (Recency): with the customer's most recent transaction with the current interval F (Frequency): with the customer's transaction frequency M (Monetary): with the customer's transaction amount based on R, F, M three indicators. Users can be categorized into the eight customer types in the table above, and merchants can take appropriate initiatives and decisions based on different customer types.3/AISAS Model-PrivateDomainResearchInstitute Enterprise Traffic AcquisitionApplicable Scenarios: Traffic AcquisitionThe AISAS model and the traffic acquisition type of business will be a better fit, i.e., through the exposure of the content in the public domain, to Lead users to convert to private domain deposits, a practice most common in public domain e-commerce, live broadcasting, and brand e-commerce. Therefore, the AISAS model will pay more attention to the enterprise's content output and delivery capabilities, rather than burning money to invest in advertising.4/AIPL model-PrivateDomainResearchInstitute users, enterprises, products, services Applicable Scenarios: private e-commerce/membership marketing AIPL is a recognized, high-quality private domain model, this modeling system is about This model system focuses on the enduring relationship between users, enterprises, products and services. The "AI" part is to realize the pulling of new customers through a variety of technical games, while the "PL" part is to realize the retention and operation of the brand's population by letting consumers go through the process of cognition→interest→purchase→loyalty. Asset quantization, chain operation, maximize the extension of the user life cycle, deep mining membership value.5/Pareto layering model-PrivateDomainResearchInstitute to tap the value of high-quality users Applicable scenarios: user layering Pareto layering model, also known as the 28 law model, that is, 20% of the users for the enterprise to create 80% of the value of the enterprise, the enterprise often need to spend at least 80% of the cost, and the enterprise is often required to spend at least 80% of the cost, and the enterprise is not able to create value for the enterprise. Often need to spend at least 80%, or even more energy, to serve 20% of the quality users. Therefore, enterprises need to prioritize the search for the 20% of high-quality customers, and do a good job of continuous service.6/User Pyramid Model-PrivateDomainResearchInstitute User Management Applicable Scenarios: User Operation In the actual operation of the private domain, we can let the user to user to realize the effective management, and each user hierarchy can be disassembled again, so as to form a user relationship like a pyramid, increase the user relationship, and increase the number of users. pyramid-like user relationships, increasing the stability of user-user relationships. The essence of the user pyramid model is more for the management of users to ensure the promotion and retention.7/User Life Cycle Type-PrivateDomainResearchInstituteUser OperationsApplicable Scenarios: User OperationsUser Life Cycle refers to the user from the beginning of contact with the private domain until the departure of is the complete process, the process can be divided into five phases: the introduction period, Growth, Stabilizer, Decline, and Churn. Users in different life cycles, their behavior is different, for the corresponding life cycle of the user operation, the focus of attention is also different: the introduction period: user behavior is in the flow into the process of users; the core work of the operation is to pull the new customer acquisition as well as to promote the living. Growing and stabilizing period: user behavior is in the active stage in the private domain, and will stay in the private domain for a long time; the core of operation is to promote user activity, and further create conversion/payment and retention. Decline and loss period: user behavior is in the termination of repurchase, and leave the private domain; the core of the operation is to do a good job of appeasement of the users of the sinking loss or the transfer of new products.8/TOFA model-PrivateDomainResearchInstitute User Research Applicable Scenarios: the user research TOFA model is generally used to study the regional consumption differences. The model starts from two basic dimensions affecting the value of consumption culture: whether to accept external culture and whether to dare to spend money, and these two factors lead to the conclusion that the former leads to changes in consumption patterns and the latter dominates the basic style of regional consumption. The introduction of the fashion index (Style) and consumption index (Risk), the regional consumption is divided into four types, can better help enterprises to do private domain research in the early stage of the more effective classification of consumers.9/User Addiction Model-PrivateDomainResearchInstitute User Habits NurturingApplicable Scenarios: user operation / incentive to play this The model is designed to guide users to develop positive behavioral habits, such as community game play or private domain system ecology, the following four stages of the design is the focus of the user addiction model: Trigger Stage: the user is reminded of whether the product behavior can be perceived by the user and guided to the next step; Core Points: guide the trigger to the way to be obvious enough to be direct, the path should be short, in the shortest possible time and behavioral chain to stimulate the user's behavioral will. The user's behavioral will. Action phase: user persuasion, the core behavior of the product can attract users to operate on their own; core points: give users enough motivation to act, matching the ability to complete and effective triggering methods. Reward phase: user rewards, whether positive reinforcement feedback can be given in the process of behavior occurrence; core point: the rewards can be varied to cover the incentive needs of different users. Input stage: user input design, user reward behavior after guiding the user input (recharge) to form a storage value service; core point: to make the user's input can be recycled, with the increase in the number of times of input to form a dependency, and ultimately become the user's habit.10/A/B test model-PrivateDomainResearchInstitute for fission testing applicable Scenario: user fission/fission poster testing A/B testing is commonly used for fission poster testing. In the same time dimension, in order to test the effect of a factor on the results, this factor is used as a variable, and other factors are tested quantitatively to find the variable scale with the best results.11/Six Steps to Data Analysis - PrivateDomainResearchInstitute for Fission Testing Model Applicable Scenarios: Data AnalysisData analysis also requires a certain amount of skill, don't fail to indulge in the the ocean of data, data is a tool and we should utilize the tool. It can be considered from six aspects: 1, ask the question: first of all, it should be clear, what is the problem we solve?2, make assumptions: on the basis of this question, what are our pre-assumptions?3, data collection: according to this assumption, begin to collect the data.4, data processing: processing of the collected raw data, including data cleaning, grouping, retrieval, extraction, and other processing methods.5, data analysis : After the data is sorted out, the data needs to be synthesized and cross-analyzed.6. Presentation of results: Visualize the data and come up with specific conclusive information.12/Community fissioning model-PrivateDomainResearchInstitute Fissioning chain of communitiesApplicable Scenarios: community operation/fissioning activitiesCommunity fissioning usually contains 4 steps:1. Original flow pool Users participate in fission activities through WeChat (circle of friends/public number/WeChat group); 2. forwarding posters/graphics to circle of friends or WeChat group to inject traffic into the traffic pool; 3. importing new users from the traffic pool into personal number/own platform or high-level WeChat group, promoting the activation of the new and old users, and filtering them into a more accurate traffic pool through the activation promotion; 4. paying for conversion of the filtered users. 13/User retention model - PrivateDomainResearchInstitute PrivateDomainResearchInstitute User Retention Analysis Applicable Scenarios: User Operation/Community Operation Retention Analysis Model is an analysis model used to analyze user participation/activity, examining how many of the users who carry out the initial behavior will carry out the subsequent behavior, which is an important method used to measure the value of the private domain to the user.N-day Unbounded retention (retention within N days): retention will be accumulated for all users who have completed a return visit within N days.Bracket retention (customized observation period retention): e.g., the first observation period: the next day; the second observation period: the 3rd - 7th day; the third observation period: the 8th - 14th day; The fourth observation period: the 15th to the 30th.14/User fission viral coefficient K-value model-PrivateDomainResearchInstitute for viral fission applicable scenarios: user fission K-value = the number of users being added / the number of active users. A simple understanding of the K value is the number of new users that each user can bring. the larger the K value, the better the propagation effect.15/Organizational Structure Model-PrivateDomainResearchInstitutePrivate Domain Operation Position ConfigurationApplicable Scenarios: Team BuildingThe concept of the position of "private operation" is relatively broad. The concept of "private domain operation" is broader and involves more division of labor. Usually a standard private domain team consists of: 1 person in charge, 1-2 persons in the content group, 1-2 persons in the planning group, 1-2 persons in the operation group, 1 person in the data analysis group, and 1 person in the product selection group. The organizational structure model given here is still mainly for reference. The situation of each enterprise is different, and needs to be adjusted in accordance with the needs of the respective private domain. Advanced reading: boss must see, HR collection! An article about the talent screening of private domain team building 16/PDCA cycle model-PrivateDomainResearchInstitute review check process Applicable scenarios: project review/activity review PDCA cycle method is a general model used in management to improve quality. In the work in accordance with the four steps of planning, implementation, checking and processing of a continuous cycle, so that it is constantly improved and resolved. PDCA model is divided into four phases: Plan (plan): Determine the objectives and plans Do (implementation): According to the plan to start organizing the implementation of Check (check): The implementation of the process of the key nodes and the final results of the comprehensive inspection Act (processing): Processing inspection The results of the successful experience is affirmed and incorporated into the standard process; the failure experience is summarized and attention is drawn to it; and the temporarily unsolved problems are submitted to the next PDCA cycle for solution.17/Private Domain Labeling Model-PrivateDomainResearchInstituteUser LayeringAct Applicable Scenarios: User Operation/User LayeringIn the private domain operation system, it is necessary to layer users. user layering, and the way to achieve this is to label the users. According to the different needs of users to develop corresponding strategies to fully utilize the value of each tier of users, to achieve product goals. Usually from the channel source, user level, demographic attributes and consumption information of the four labeling dimensions of the labeling, and then according to the different labels of the respective enterprises to carry out the subdivision of the label.18/KANO KANO model-PrivateDomainResearchInstitute user demand & product relationship analysis Applicable Scenarios: user operation/product promotion KANO Model (KANO model) is a tool that can classify and prioritize user needs, combined with the model can analyze the relationship between products or services and consumers. In KANO model, the quality characteristics of products and services are classified into five types: Charming attributes: unexpected by users, if this demand is not provided, user satisfaction will not be reduced, but when it is provided, user satisfaction will be greatly increased; Desired attributes: when this demand is provided, user satisfaction will be increased, when it is not provided, user satisfaction will be reduced; Essential attributes: when this demand is optimized, user Satisfaction will not increase when this requirement is optimized, and will decrease dramatically when this requirement is not provided; No difference attribute: user satisfaction will not change regardless of whether this requirement is provided or not provided, and the user does not care; Reverse attribute: the user does not have this requirement at all, and user satisfaction will decrease after providing it.19/OKR model- PrivateDomainResearchInstitute Objectives+KeyResultsTracking Applicable Scenario: enterprise management/project tracking OKR (ObjectivesandKeyResults), or Objectives and Key Results method, is a set of management tools and methods for clarifying and tracking objectives and their completion. Through O (Objectives goals) to split out KR (KeyResults key results), the next level of O is the upper level of KR, and ultimately to ensure that the direction of everyone's goals are unified.20/FAST Model-PrivateDomainResearchInstitute User Quantity Indicators and Quality IndicatorsApplicable Scenarios: Membership Benefits/ Super User FAST model is based on the AIPL model, and helps brands measure the consumer health assets they have in terms of quantity and quality dimensions.Fertility: the total number of people in the consumer asset, which is the total amount of AIPL Advancing: the rate of deepening the consumer relationship, which refers to the conversion rate of the various links of AIPL in the consumer journey Superiority: the total number of members, that is, the number of members owned by the brand, in the online consumption scenario, that is, the number of consumers who have been authorized to bind to the brand Thriving: the active degree of the members, the proportion of members who have had active behaviors, such as collecting, adding purchase, receiving membership benefits or purchasing, etc., to the total number of members in the population in the 30-day period -END -The actual fact that you've got to be able to get a lot more than just a few of these is actually a good idea, and that's why you'll be able to get a lot more than just a few of the most effective and most effective ways to get a lot more than just a few of these. 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