The data is not enough to be viewed, it is for you to analyze! So what is the data? When it comes to data, many people will say without thinking: the number of visitors, views, conversion rates and other things seen in the background are data.
So what is data-based operation?
You may say: According to data analysis, if there is a problem, if the number of views is low, study the traffic, and if the conversion rate is low, look at your own treasure main picture, etc. This is data-based operation.
Very good, you have initially possessed the ability to analyze data, but data operation is not just that simple. In fact, when doing e-commerce now, everyone must have the ability to operate data.
From the moment you open a new store and choose a category, you are unconsciously relying on data to make decisions. What is the market magnitude of this category? Is the market monopoly or dispersed? How many people do I compete with? What are my advantages? How many cakes can I eat? All of these require you to analyze relevant data, determine the market prospects, cater to the opportunity, and find the right direction in order to successfully build a store.
Unfortunately, many people still do not realize that data operations exist in all aspects of operations, and their understanding and analysis of data are superficial. Some people realize the importance of data, but do not understand the logic between these data and how to analyze it. Not to mention skillfully using data-based operation capabilities to deal with store problems and make decisions on store development.
2. Fool-style skills are used to run into dead mice
A Ke has a friend who joined an e-commerce agency after graduation, and his position is e-commerce operation company. The salary was 3k, and the company also provided her with an assistant to meet customer needs. After two days of training, she started working.
Her major is advertising and she knows some photo editing and copywriting. The company gave her another set of templates. So she produced one main picture after another like an assembly line. Search the keywords and see what words are there in the same product ranking above, and then she can put this treasure on the shelves.
This method is very tricky, and can be said to be a fool-like skill. Anyone who has never been exposed to e-commerce can do it. Moreover, when they take orders, they will choose some easy categories. So there is a little effect, but the ranking and traffic are all based on fate.
But once the baby has problems, she can't even find the reason and can only bear the anger of the customer. So their company later became very smart. They didn't take long orders and checked out after finishing it. In this way, if there was a problem in the end, it was not their own problem.
Maybe in your opinion, this method is not even worthy of practical information. But you must have had the same experience: I learned some tips and tricks, and it was very useful at first, but the skills failed after problems arise. You don't know what went wrong, let alone how to solve it.
The reason is that when you do every action, you do not use data as a medium, and you can not see the real information and the correct direction when making operational decisions. The fool-like skills you master are all cheating.
The crisis has been buried early, and you are still complacent about the effect. A blind cat can meet a dead mouse once, but it can't be touched for a lifetime.
3. Learn to stand on the shoulders of giants to learn data operations
Only after looking at the example above can you understand why Azhu has always said: Data operation is a necessary underlying capability for every excellent e-commerce person. This capability will build your overall operational thinking and be relocated.
You can use it when you make women's clothing, you can also use it when you make home appliances; you can use it when you make traffic, and you can also use it when you make after-sales service. You can even stop doing store operations and switch to Pinduoduo, WeChat business...you can still use it.
Because your ability to understand data, mine problems, and make decisions about things... these fundamental capabilities brought to you by data operations will not fade.
What is sigh is that data operations are so important, but they have never been taken seriously. Even some related courses on the market focus on small techniques and methods. I only told you to do what he said, but I didn't tell you why.
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