B-side product planning is a systematic project, because B-side services can support various types of industry applications, and can also serve product applications of various business models. The requirements for product planning capabilities are relatively comprehensive. Here is a brief list of the capabilities that B-end product planning needs to have:
This article will focus on the data planning module, to help you understand the value of data planning and the work involved in B-side services, especially Paas services. Generally, it involves two modules: function buried point data and service operation data.
Data embedding is the basis of all mobile number list work in C-end products. It is used to monitor user behavior and serve as a weather vane for product planning. Intuitive analysis can understand product conditions, guide function optimization, and discover interaction defects; deep mining can be used for user portraits and channels. Transformation analysis, thousands of people.
For example, in e-commerce activities, function embedding can provide important GMV model parameters: the number of people participating in the activity, the peak traffic hours, the conversion rate from browsing to paying, and so on.
For B-side product planning, you can refer to the C-side data-driven thinking to measure business value, but due to differences, the purpose and method of data-driven are different.
Considering that only paying customers have permission to use the B-side service, the data collected by the function embedding comes from paying customers. Taking Paas-type products as an example, the value of B-side service function embedding is mainly reflected in two.