At present, we can see that the information related to causal inference focuses more on the logic method itself, and the formula is very complicated, which makes it difficult to understand and apply. Sometimes, although it seems to be Whatsapp Database understood, it is still not clear what method should be selected in which scenario when it is actually applied. Based on this background, the author sorts out some common business problem Whatsapp Database scenarios in the industry at present, and divides them into four categories according to different analysis scenarios, corresponding to different applicable causal inference solutions .
case. When encountering a certain type of problem, we can quickly and clearly know what method to use to solve such a problem. 2. Overview of four types of analysis scenarios and corresponding solutions Four Types of Analytical Challenges Whatsapp Database Solved with Causal Inference 3. Analysis scenarios and applicable methods 1. Scenario 1: Evaluation of strategy effects in non-experimental scenarios The evaluation of the effectiveness Whatsapp Database of strategies, functions, and activities is a major focus of almost every product, operation, and analyst's daily work.
From the launch of Whatsapp Database an important function to a small copywriting modification, you can measure the effect of this strategy, how much it has improved compared to before, and how much it has contributed to the overall data. It not only measures Whatsapp Database the work output, but also provides precipitation and basis for the subsequent optimization direction. The AB experiment is the optimal solution to answer this question, but when the experiment is not possible,