Periodic data includes customer data, customer fitness behavior data and physical characteristics data. You can make big moves here. We need to develop an app (after all, it is the era of mobile internet) to record the exercise data and physical characteristics data of customers every time they go to the gym. There is a lot of room for operation, such as ranking the frequency of gym use, calculating physical characteristics according to rules (this is a big data algorithm), engaging in vertical e-commerce and various team dating activities (small social circles), such as various cool running apps. We have the right to speak when we have data, which is precision marketing. With app, we can actually do a lot of things. With data, you don't have to be afraid of having no money. What we are afraid of is that the data can't be made.
Downstream data just needs the stickiness of this app. At this time, the customer data and the previous physical feature data need to be able to show the portrait of this customer, and further accurate marketing should be carried out according to his interaction traces on this app.
The word "big data" may be a model, but it is actually very close to us and not so far away. It is synonymous with all kinds of behavioral data. Through the collection, storage and analysis of geography, behavioral operations, hobbies, social circles and other complex events, we can get a portrait of a person. The questions are very good, forward-looking, challenging and imaginative.
There are many such people in this world, giants in thought and dwarfs in action. Many people think about going to the gym a hundred times, but they don't go for various reasons, depending on how you guide them.