Traffic data mainly refers to a series of processes from launching to using a product when a user visits a product/page, and a lot of traffic data will be generated. Traffic data is defined as the data generated when users visit products/pages, and enterprises need to Whatsapp Database obtain data through data collection. 2. Why do we need a traffic data analysis system? The current high customer acquisition cost in the market, for new users, may be lost after only opening the app once. Whatsapp Database Monitor traffic data, diagnose data anomalies, improve business logic, and promote product revenue. 3. How to do a traffic data analysis system When a user visits a product/page, a series of processes from launching to using the product will generate a lot of traffic data.
Most of the traffic data is generated Whatsapp Database through buried point reporting, and high-quality, easy-to-analyze data assets are formed through data processing and processing, and data analysis provides data support and insights for decision-making. 3.1 Data production 3.1.1 Business Requirements - Embedding Data Requirements The business demands Whatsapp Database received by the DA students in the group are often "expect the usage of this function", etc. At this time, if only one function is given to use uv and pv, it is not enough. It is necessary to fully understand the business demands, and Abstract it as a buried point requirement. When faced with a "expected use case for this feature" business requirement, you need to understand:
The short, medium and long-term Whatsapp Database strategy of the business, eg the medium and long-term strategy is for users to sink; Why is this feature online? This function may affect other functions. After understanding, according to the business Whatsapp Database background, requirements, and purposes, it is abstracted into "buried point requirements". The short, medium and long-term strategies of the business, eg, the medium and long-term strategy is user sinking, and user sinking is divided by city level, income amount, etc.; Why this feature was launched: I learned that in order to improve user stickiness, it is necessary to monitor the retention and active days of users who use this feature.