This also reflects to a certain extent that when users grow to a certain extent, operating users will become a key element of corporate profitability. 3. Sort out the team design process and executive email list confirm the team role and work orientation (1) The process of the existence of the general team It cannot be said that there must be problems with this process, but that there are often problems. Although each position has its own responsibilities, if the cooperation executive email list between the upper, middle and lower reaches is not close, it is easy to misunderstand, and thus various delays will occur. (2) It may be a more reasonable process.
The process below may not be suitable for other teams, so please do not apply it rigidly. Teamwork is the best fit. 4. Walk through the key nodes of the activity and confirm the influencing executive email list elements (1) Obtain the key nodes of user participation from frog behavior model In any activity, it is unavoidable to analyze the behavior of user participation, and the factors that affect user participation are affected by executive email list two reasons: motivation to participate and difficulty of participation. When activity incentives or rewards generate great motivation, and the participation path is simple, the behavior of user participation will increase significantly; on the contrary, it will decrease.
The factors that affect motivation are nothing more than activity incentives (activity-driven), product or platform-driven (the services provided by the platform have affected executive email list users’ lives), brand-driven (there is already a relatively deep trust in a certain brand), and the ability to participate The factor mainly lies in the interactive operation of the activity. (2) Seek key nodes from the driving user formula k = (basic service price + packaging premium) / (user price payment + user behavior payment) k is the driving force coefficient; k ≥ 1 the driving formula can executive email list be executed by the user; For similar competing products, the operator with a higher k value has a stronger ability to convert users.