What are the job contents of the e-commerce operation assistant?

E-commerce refers to trading activities and related service activities in the form of electronic transactions on the Internet, Intranet and value-added networks. What are the job contents of the e-commerce operation assistant? Come and have a look with me.

Work content of e-commerce operation assistant 1, and view real-time data.

Analyze people's entrance to the store to buy products, and optimize the title, main picture and detail page according to the optimization of traffic source and cost.

2. Data tracking

Check whether there is any violation or deduction record in the store. Statistics of the previous day's data, such as main payment, sub-payment, through train and overall store data. It is also necessary to count the store traffic data, and then compare the data of the previous day to see if there is any abnormality and make corresponding plans in time.

3. Activity planning

Under normal circumstances, during the period when there is no activity, you can do some promotional activities in your own store. If it is an official activity, send some activities-related gifts, such as free, lottery and so on. If there is a lot of single product traffic, do some related sales, check whether Taobao has any activities to participate in, and do some store activities in Tao Wei, which are self-media content.

4. Paid promotion

The process of making paid promotion plans, drawing and spending plans, and launching products.

5. Member management

When the user buys a product, help him join the member list in the store. Send short messages about care and after-sales service to members during festivals, and send preferential benefits to members from time to time.

6, bad review processing

Call the customer, communicate with him, understand the actual situation, and make a report for statistics. Next, let's check whether our products are really like this, and then make some adjustments based on customer feedback.

Thinking of e-commerce operation 1, process thinking

Process thinking. That is, when thinking about problems, first determine the trunk, and then look for branches and leaves. In other words, the success or failure of a thing depends on several key links, and a large number of small events or behaviors determine the quality of the key links. To do one thing, first find out the key links, which is conducive to clearing the mind and grasping the key points.

In our practical work, many things can help us clear our minds through process thinking. We can judge which links can work hard through a user's complete use process on the product; You can draw a flow chart of operation activities, listing what each link should do, resources should be allocated, data should be monitored and so on.

2. Triangular benchmarking thinking

Triangular benchmarking thinking is very helpful to carry out a lot of project-based work. Because in the operation work, sometimes you will encounter situations where you don't know how to start. At this time, we don't have to make plans in a hurry, but use the triangle benchmarking thinking to see what our peers usually do, how our products were originally handled, and what users expect. This can largely ensure that what you do has rules to follow and will not be biased.

Triangulation also means that we can learn from the excellent ideas of various industries and products and apply them to our own work, as Picasso said: excellent artists imitate and great artists copy. Therefore, we should pay attention to and learn from other excellent cases.

3. Digital thinking

Anything, when we find the measure, the difficulty of it is greatly reduced. To operate, we need to find a standard to measure the operation effect. Data is a good measure. Operation is inseparable from data, which can not only provide measurement standards for operation, but also provide decision support for operation.

Data thinking is to establish your own data operating system, know the relationship between different data, and learn to use data for analysis. In addition, in the process of data analysis, there may be some unexpected gains, and there are many interesting correlations between the data. We can have a clearer understanding of our operations and users of our products through these data.

4. Planning thinking

Everything is established in advance, and it is abolished if it is not foreseen. Operation should be planned, short-term planning and long-term planning.

At the end of the year, we usually make work goals and plans for the new year, but the goals and plans here will be relatively large, not grounded enough, and need to be put into practice. In addition, at the end of each month, the operation plan for the next month will be made, which is much more detailed than the annual plan, and the specific way to accomplish what. Finally, there is a weekly plan, which is to make a specific work schedule for yourself and promote the work progress.

5. Summing up inductive thinking

Some people say that operation is a basket into which everything can be put. Indeed, the operation is very complicated and various problems will be encountered, but if summed up, many problems belong to the same category. In this way, if you make good use of inductive thinking, you can avoid similar problems next time you encounter a pit. Moreover, summing up some repetitive work and forming norms can also improve our work efficiency.

In addition, in the process of operation, you can also organize some of your own work into experience. For example, sorting out special planning processes and operation manuals. , which can facilitate future operation and improve work efficiency.

E-commerce operation prospect 1, the rules are becoming more and more transparent. Excellent operation core work must be liberated from routine work and become a designer and an operation designer. It may be difficult to understand what an operation designer is, just as Deng Xiaoping is the chief designer of reform and opening up.

2. When the operation is liberated from routine work, who will promote the original activities, such as through train, taobao guest? Well, some students may think that in the era of artificial intelligence and big data, these future machines will do far better than humans.

3. The core ability of the top-level operation of e-commerce is to find the tolerance value of the machine. This explanation may be more obscure than the first one. Simply put, the application of artificial intelligence and big data in the marketing field is far from perfect. The platform will deliberately reserve a lot of fault-tolerant space, which is a gray area in a sense. This area is a stage for rivers and lakes to test operational technology, and may be the only place for operators to play technical means in the future. Of course, we can't say too much about the specific content here. Too much is against the rules.