At present, my understanding is that the essence of user growth is "demands are better met" , which needs to be divided into two points to consider: What are the needs? It is to executive list grasp the pain points of "not satisfied" and "not well satisfied" in the user's scene; Is it better satisfied? That is to say, a sufficiently large user value (new experience - old executive list experience - migration cost) is created. The product itself must be able to fit the scene, meet the needs, and provide user value with better solutions. With the changes in user habits and market environment, the product can quickly adapt and iterate to the current optimal solution, and such products have been awarded " The result of user growth" is without exception.
If a product wants to gain user growth, see if the following key points can be made clear. 2. User growth cases in the travel industry Take the executive list entrepreneurial history of Didi in the industry as an example: Old experience: you can only call on the side of the road and make an appointment to call a car; Demand: call a car immediately; New experience: one executive list click on the phone, and a taxi can be called within 5 minutes in the house; Migration costs: Drivers can take orders with a simple operation after installing the software; passengers need a smartphone, and the ordering process is equally simple. after this: Users do not need to call a car outdoors in extreme weather.
More urgent users can order a car faster through the driver's red envelope; Users can call different types of cars according to their needs; Users executive list can make an appointment to call a car or call a car for others. The emergence of Didi has broken the shackles of time and space , and new experiences have been iteratively launched again and again, making users feel that their travel needs are better met again and again . In the early days of Didi's business, after executive list the demand for "calling a car right away" was given priority, Didi follows changes in user habits and market environment, and deploys travel solutions in each user segmented demand scenario.