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.
Outline:
• What is user churn?
• Reducing user loss is a top priority for businesses.
• Ten strategies for reducing user churn.
(中文)
对于大多数广告主来说,广告投放的目的无非就是吸引更多的用户,提升广告ROI,最终实现营销转化。
The two – eleven smoke has been passed, so many relatives are chopped hand, so the problem comes, 12-12 our commodity details page how can be designed to let the user’s shopping cart still overloaded?
The product details page is the most easily accessible and resonant page of the e-commerce APP. The quality of the product details page design has a direct relationship with the user purchase conversion rate.Therefore, the good design of the product details page can stimulate users’ desire to purchase, dispel misgivings and enhance the trust of users!
Let’s take a look at the electricity funnel model: pull new (new users), active (commodities list page, page for details) – buy transformation (order, payment, trade complete) – spread (evaluation, sharing).
A pretty average number is created with the data of virtual scene, will give our decision making misleading, so we need to acquire an effective method to analyze the real user behavior and user value, this method is a Cohort Analysis (Cohort Analysis).In fact, the data does not lie, but the analysis of the data is not accurate analysis and leads to the incorrect interpretation of the data.
At the same time, there are relatively few studies related to the group analysis in China. Perhaps not all operations know about the group analysis in the same period, but it is a necessary analysis method for every product operation.In the famous “lean data analysis”, the soul of test data analysis also mentions the relevant content of group analysis in the same period.
In the same period, group analysis was first used in the field of medical research to observe how the behavior of different subjects varied with time.By monitoring different groups of subjects, medical researchers can observe the effects of different prescriptions and treatments on the subjects and determine the Shared behavioral patterns.
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.
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
In recent years, data analysis has developed rapidly and we have also made a micro data analysis tool.The product has been successfully operated for three years, fulfilling the daily life of millions of enterprises.The product structure is very simple, with the simplest language in the world PHP, the most common database mysql, the server can choose apache or choose nginx, all your own preferences.
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