We pulled out user data of different dimensions for comparison, and finally found that the difference between the renewal rate of new users and old users was as high as 53%. That executive email list is to say, after the initial conversion of low-priced courses by new users, it is the most serious loss in the stage of retention and renewal from low-priced courses to regular-priced courses. I found the most painful point, and the problem is actually half solved. Next, through executive email list the analysis of various data factors, we have determined several key factors that affect the renewal rate of new users, namely: user source, pre-class service, and course quality.
To the quality of courses and change the previous subjective evaluation model. Use attendance rate, class completion rate and homework completion rate to comprehensively assess executive email list teacher KPIs; The teaching assistant team's course service time is advanced, from the previous one week before and after the class to the user service two weeks before the class; The focus of serving the population has shifted to new users in short-term classes. Improved effect: Through the adjustment of operation strategies in the above three directions, the same team reduced executive email list the difference between the renewal rate of new and old users from 53% to 9% in only one month! The effect is very obvious.