I have always been focusing on research and analysis in the field of e-commerce. This time, I just took advantage of the opportunity of running related courses to do an in-depth disassembly and analysis of Liulishuo, a product that focuses on English education.
The biggest feeling that the whole analysis process gave me is that there is a reasonable and smooth dismantling idea and framework, which country email list can be opened from different dimensions to deeply look at the current situation and future development of a product. You can carefully analyze your own products again through this disassembly framework, which may bring you different thinking and inspiration.
First, the product life cycle judgment
1. The life cycle of Liulishuo
Liulishuo English is an English learning app that focuses on artificial intelligence-driven education. It was established in September 2012, but tracked from the station cool data, the downloads of the app have been accumulating and growing since August 2013, until April 2021. There have been 940 million total downloads in the month. In terms of the number of registered users, as of June 30, 2020, there were 185.6 million registered users.
As can be seen from the cumulative download curve in Figure 1, Liulishuo has gone through the introduction period and growth period. It is judged that the product will enter the mature period, and the user growth rate will start to slow down.
As can be seen from the daily download volume curve in Figure 2 in the past 3 months, basically the daily download volume remains stable, fluctuates slightly within a certain range, and may bring about a wave of short-term growth under the promotion of special operation methods (such as 2021.3 .9, which may be due to polite downloads, or may increase the number of downloads on the day in conjunction with the promotion of festivals before and after), so it also reflects from another aspect that the current product has entered a mature stage, and should focus more on refined operations and improved operations Efficiency, focusing on improving the activity of retained users, considering how AI and online education can be more deeply integrated to further improve user experience and tap user value (after all, AI+English education has been used to make a name since its inception), and convert it into revenue promotion.