2017 China Internet Finance Annual Report points out that the overall level of Internet financial risk is declining, and the risk cases are initially contained.But the future is still very difficult to purify the Internet financial market, so the government regulation of the following countries will inevitably continue to increase, and the cost will be higher. On the other hand, the development environment of the industry has been gradually cleaned up with the improvement of the fittest of the industry.
We have also seen in 2017, a development of the Internet financial status: insurance development growth is slowing, stabilise financial management module, stock has dropped sharply in the whole accounts, the boom of equity financing, and consumer finance and pay two pieces of business development situation is very optimistic, so how to grab more market?
We see agencies that are doing everything in their power to produce all kinds of play. 2015 thus was born the first Internet financial services section, may say that this is the Internet finance double 11, most of the 11-member cartel, is also the largest, China feedback strength strongest online financial event.
Internet financial products cover many aspects: payment, loan, finance, credit card, insurance, etc. Today I mainly share with you about the operation of Internet wealth management products based on the life cycle, and I hope to give you some ideas of operation.
In this era of data driven operation, data is not only engineers and analysts, at work and operating requirements practitioners have certain ability of data analysis, more people say that “data analysis ability is the future operation of watershed”. From my point of view, I really think the data can promote the operation strategy and work.
But running children’s shoes is mostly data small white, without programming and technical foundation, how should we analyze and use good data? Today, starting from the common data problem, I hope that you can quickly get the data analysis to make the data better for the work service, and don’t waste the data’s value.
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).
Our previous “cohort analysis method is introduced by comparing different period of specific indicators for time window, and today” A/B testing “is introduced by different groups of users on the same time window for comparing different versions of the reaction.
In general, the employee will leave the job within one month and leave the company for half a year. The reasons for the departure will be different for two years or more.
A month out, usually can’t adapt to the job or related to the work itself.
The situation of half a year, general and direct superior concerned.
More than 2 years left, basically belong to the recognition company, but the development is limited
In fact, the retention of the product is similar to that of the employee, and the reasons for the short-term retention, interim retention and long-term retention are very different.
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.
Apache Ambari project by developing software is the purpose of the hadoop cluster configuration, monitoring and management, in order to make the management more simple hadoop.Ambari also provides a RESTful interface implementation based on itself of intuitive, easy-to-use web management interface.
Ambari allows system administrators to the following:
1. Provide installation management hadoop cluster;
2. Monitor a hadoop cluster;
3. The extension ambari custom service management functions.
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.