Before we start to do refined operations, we must do some data analysis to guide our operation strategy. When analyzing, we should start from those dimensions. First of all, we must think clearly about the following three questions:
What are our analytical goals?
What data do I need to analyze?
How can this data help me?
Before preparing for data analysis, it is recommended that you associate the analysis with your own business, and this connector is the analysis target. The marketing team hopes to obtain more sales leads, the operation team hopes to obtain more users and higher transaction amount, and the user operation hopes that users can visit frequently.
At different stages, we will have different analysis goals, and the analysis goals also guide our entire analysis framework and process. Before conducting formal data analysis work, we need to set up a series of data indicators, which is the data operation indicator system to be discussed in this section.
Just as there are no two identical leaves in the world, no two index systems are exactly the same. Different product types, different product development stages, and different thinking methods of teams conducting data analysis will all lead to differences in the established indicator systems. However, the basic ideas and methods for formulating the indicator system are traceable. The following methodological framework can quickly clarify the analysis target country email list and formulate a data operation indicator system suitable for its own products and services.
1. How to clarify the analysis goal?
Analysis goals and KPIs are closely related. There are actually many application scenarios for data analysis and insight. The most common use is to improve our performance, or we hope to improve KPI performance only by means of data analysis. What determines your performance? It may be sales leads, the number of orders, or the number of new registered users. This measurable performance is the goal of our data analysis. E.g:
The purpose of the e-commerce platform is to allow users to complete more transactions on the platform. The KPI and data analysis goal of the platform leader is to increase the order volume.
ToB enterprise service websites hope to obtain more registration leads, and the goal of KPI and data analysis of website operation is to increase the number of registrations.
Banking APP hopes to allow more users to purchase wealth management products. The KPI of APP operation is to increase the total purchase amount of wealth management products.
2. How to formulate the index system?
The conventional index system includes the first key index, the first-level index, the second-level index and so on.
The first key metric, also known as the North Star metric, is the metric most relevant to our data analysis goals.