In dating products, high-quality users (the opposite sex products are young women) determine the future of the platform. 2). User Special Database growth stage Follow the user's main path to do conversion step by step: user exposure - click on profile page - message behavior (or like behavior) - reply behavior (or pairing behavior) - reply time, the efficiency of this closed loop basically determines the user's life. cycle. Don't worry about losing after matching, so you Special Database keep trying to keep users. For core users (using the platform to improve dating efficiency and save time), losing after matching is the embodiment of "the platform becomes an order".
Just like Didi will never let passengers get off the bus for the sake of retention; Taobao will never let buyers receive the Special Database goods for the sake of retention. In the end, the life cycle of platform users naturally depends on whether the user needs met by the platform itself are high frequency (frequency: "yp artifact" > dating > serious dating > blind date), and there is no business logic of the so-called "high frequency and low frequency". , because the frequency difference here naturally subdivides needs and users. The same person Special Database will naturally choose different products when meeting their own needs at different levels. The frequency will finally reflect the different active user scales.
When the number of registered users is the same. For example, no matter what Tantan does, the scale of active. Users is difficult to Special Database surpass Momo (the efficiency of left and right sliding is lower than that of the grid list display), and Tinder, as the world's C-ranked dating product, should only have MAU of around 30 million (guessing numbers, there are Please correct me if I'm wrong). 3) Commercialization stage For the realization of LTV, the key contradiction Special Database lies in whether the business model can be the same as that of other marketplaces. Before the completion of a single action.