In the last article , the editor briefly category email list introduced how to retain data from the global perspective and find growth clues. This article will continue the content of the previous article and continue to share: how to further find retained growth clues through refined data analysis. 1. Product loss analysis Before analyzing product retention, we need to consider why users retain and why do they churn? Where should you start to think about how to reduce churn and improve retention? There are many reasons category email list for user churn. Here are a few common reasons for churn: Insufficient perceived value of the product by users:
Although the product has long-term value, the category email list short-term value is not clear. The solutions provided by the products are not in place and do not meet the diversified needs of users. The product cannot continuously output new value to the user. Users find the product difficult to use: The guidance and motivation of the typical user path of the user is insufficient , and the user's usage habits are not developed. The user experience of the product is not good, and the user cannot be satisfied through the product. Lower category email list cost for users to replace products:
The product does not allow users to category email list invest effective time, money, labor and other costs in the product through an effective user incentive mechanism, thus resulting in very little consequential loss when users replace the product. 2. Evaluation of product retention difficulty Before analyzing product retention, in addition to analyzing the reasons for churn, it is also necessary to evaluate the difficulty of retention in consideration of product characteristics. We can evaluate it from the following seven aspects. For the category email list above seven aspects, we mainly focus on the following seven questions: How strong is the user demand for the product.