ZdravkoBorisov
commented
2 years ago 1. User Retention is the continued use of a product or feature by your customers. For example, does simply running the application count as usage or is there a higher threshold based on time, number of key features used, etc.
- Improve User Retention - Understanding the lifetime behavior patterns churned users had before they walk away from your product can help you identify variations from your more loyal customers. Analyzing overall product engagement and retention or drilling down into feature usage will give you a more specific picture of churned user interaction. Once you have identified the factors leading to churn, you are in a better position to take steps to improve retention.
2. User Churn - Subset of user retention metrics that looks at the number of users who have stopped using a product over a specific time period. Is your application used daily? Is your application used monthly? A longer time frame is more appropriate. Understanding the context of how your application is used and setting a relevant time period for analysis will yield more fruitful insights. Once you decide on the relevant time period, you can measure user retention by taking the number of active users at the beginning of the time period and subtracting it from the number of those users who are still using your application at the end of the time period. To calculate the retention rate for that time period, simply divide the beginning number by the end number.
3. User behavior - User behavior encompasses all the actions visitors take on a website: where and what they click on, how they scroll down a page, where they stumble, and where they eventually drop off the page and leave.Tracking user activity gives you an inside look at how people interact with your site and what obstacles or hooks they experience in their journey as your customers.
4. User Funnel - A funnel analysis is a method of understanding the steps required to reach an outcome on a website and how many users get through each of those steps. The set of steps is referred to as a “funnel” because the typical shape visualizing the flow of users is similar to a funnel in your kitchen or garage. A funnel analysis shows you where your users are dropping off along the conversion path. You can use it to figure out where the most opportunity is to make improvements. In the example above, the biggest drop-off occurred from visiting to adding an item to the shopping cart, so it would follow that making improvements in that product experience would have the biggest impact to the overall conversion rate.
5. I think that NLog would be the best option for our application logging system.
Here is why:
- NLog is considered to be one of the top logging frameworks for .NET.
- It supports writing to various destinations, including files, consoles, emails, and databases.
- NLog also supports structured logging
- It is easy to configure both through the configuration file and programmatic configuration
StoyanShopov
Research how to use NLog, Firebase, Default Logger in ASP.NET Core. User Retention User Behaviour User Funnel