中文How to Improve the User Churn Rate ? Here are 10 Strategies.
Outline：
• What is user churn?
• Reducing user loss is a top priority for businesses.
• Ten strategies for reducing user churn.
Why Can’t You Help Clicking It?
According to the statistics, 79 percent of smartphone users will check their phones within 15 minutes of waking up in the morning.A 2011 study by a university found that the average person watches 34 times a day.However, recent figures from the industry have been much higher – almost 150 times.We have to admit, we’re addicted.Faced with this high-tech product, we’re not addicted to it, and we’re at least obsessive-compulsive.We can’t wait to see WeChat, weibo, access to mobile phone taobao, jingdong, was just going to have a crush on for a few minutes, an hour to find their own fingers slide is still on the phone screen page.This desire may be with us all day, but it is seldom perceived.
The 5W Rule for Perfect Push Messages
APP operators know the importance of push messages to improve user engagement.The good news is that the user engagement will improve significantly, and the number of users will be greatly reduced.
How do we get the push messages to the desired effect?APP operators must pay close attention to the behavior of users, have a clear preference for users’ interests, and push the content of interest to different groups of users at the right time.The perfect push messages are valuable to the user, which can help the product to improve the user experience and increase the user’s liking.
Who: Object
What: Content
When: Time
Where: Situation
Why: Reason
As a Product Manager, Do You Really Know about Data Analysis?
Every product manager knows that data analysis is important, but can you give a clear answer to both of these questions?
1. What is data analysis?
2. Why is data analysis so important?
It doesn’t matter if you don’t know the answer, because this article is about to answer it from the following aspects:
1. What is data analysis?
2. Relevant concepts of data analysis
3. How to conduct data analysis?
4. How to measure and collect data?
5. How to do data analysis report?
6. The relationship between data analysis and products