First of all, what data does the product manager need to analyze? The product manager needs to analyze a lot of data, which are basic data. Basic data include download volume, activation volume, new users, active users, etc. There are also social products, such as user distribution and user retention. And e-commerce. Taobao index, website traffic, bounce rate, page visit depth, etc. There are also content categories, content conversion rates, and retention. Tools are function clicks and application mall rankings.
So do you know what tools can be used for data analysis? Data analysis tools are mainly third-party data analysis tools, which can be accessed quickly and save costs. They are more suitable for start-ups and newly launched products, but they cannot track key data in emergencies. In addition to these, there are self-developed data analysis tools, which can track every data in real time and make product adjustments quickly. Need enough developers and costs, more suitable for large companies or mature products.
So how to analyze the data? We need to model the data first, and then analyze the data to see if it is consistent with the model. However, we need an idea of product data analysis, which can be expanded like this: Why should I analyze it? That is to understand, what is the purpose of my analysis, to find the cause of the problem? Still looking for a solution to the problem? At the same time, we need to consider what kind of effect we want to achieve through analysis. Is it to increase income by analyzing paying users, finding problems and solving problems? Of course, what data do we need to analyze to achieve this effect? That is, what data is needed to achieve the purpose of analysis. At the same time, we need to consider how to collect these data. Is it directly through a third-party data analysis tool or a self-developed tool? Or should I retrieve it from the database and give it to the programmer? At the same time, how to organize these data? That is, we often say that data visualization can facilitate our analysis. How to analyze it? That is, through analysis, find out the problems and give your conclusions. How to solve the problem? Give your solution.
Through this article, we can easily find that there are many contents of data analysis. When we study data analysis, we must do it well, so as to do it well, especially as a product manager. In order to consolidate our professional position and improve our competitiveness, we must constantly learn and absorb new knowledge. Finally, thank you for reading.