Speaking of the topic of data analysis, data analysis is valuable and helpful for the operation of our company. Everyone can use data, but it depends on whether you can obtain the data and what kind of data you get.
One thing needs to be emphasized, what is the reason behind each data phenomenon, this needs to be found out. Why do we need to find out the reason behind this? For example, the overseas crowdfunding project of our smart scanner has a sudden increase in traffic on weekends. Why is it not as high as on weekdays? We need to find many people to ask about this situation and find out what the reason is. The reason behind each data is very important.
Regarding the use of marketing data, we also have our own views. Generally, we position ourselves first. We will list all the portraits of the consumer groups of the positioning products clearly, and they are all very accurate. For example, we think that teachers will be the audience of our product, but what type of teachers will use smart scanners? Then we consider lawyers and people in the financial industry. Each group is listed very finely, not just using one dimension, but using several labels on them to accurately locate.
For example, how do we judge whether he is a lawyer or a teacher? We have established contact with customers who support our project and have conducted in-depth tracking. There are several thousand seed customers in the first batch. In fact, this batch of customers also hopes to participate deeply in our crowdfunding project, so we have a deep chat with each customer and ask very detailed questions.
Our questionnaire design is very interesting. For example, if we want to know whether he is satisfied with the product, we will not ask directly, but ask him whether he is willing to recommend the product to people around him. If he says yes, we will ask him which industry he is willing to recommend it to, because we cannot judge which industry is using smart scanners. We hope that they can help us think about the use scenarios. We also have many skills to do this. We magnify the data. Each product has its own consumer group portrait. As long as it is accurate enough, we will find channels through a single portrait.
If we track the group of teachers, we will study where teachers often appear and how to obtain their traffic most easily. The way to obtain traffic is not limited to QQ groups or public accounts. We can diverge and use other more in-depth means to obtain more traffic. In the acquisition process, define each person’s label, and we will continue to revise it in the process of obtaining information about the target customer group. There are two main aspects to this: first, we research products after getting the data, and second, we spread the data to users.