How to monitor operational data every day for Amazon operations in foreign trade and cross-border e-commerce

As an operator, daily data monitoring is essential. Only by knowing the daily data and sorting the data can you know where the problem lies, find the right medicine, and solve the problem in the first place.

How can we improve the efficiency of data monitoring (in other words, save time)?

•   Number of reviews, star rating, and new reviews

The first thing I do every day is to open the page to check the comments. Is it deleted? Is there a negative review? I have to deal with it as soon as possible.

We can create a group of all the tags of product reviews, and then open the tag group to view it each time. Then record it in Excel every day.

•   Background Mail

There is nothing much to say about this. It must be done before and after sales. If you receive a red flag, you must deal with it. There is no shortcut to this.

•   Keyword ranking

Every day we download the data from Amazon backend to record it. At the same time, every major operation will be written into an Excel spreadsheet. Then we track the conversion rate and the traffic provided by Amazon. We analyze whether the previous operation was right or wrong. By carefully recording, we can accumulate experience. What’s more, we can adjust listing to the best state.

If the price remains the same and there are no negative reviews, but the conversion rate suddenly drops, you can analyze whether it is caused by the competitor's price reduction or some other factors. Then take corresponding countermeasures

•   Sales ranking and order volume comparison:

This is a problem that 90% of operations ignore. Sometimes there are fewer orders, but the sales ranking has indeed improved. At this time, there are two possibilities. One is the problem of the industry's off-season, and the other is that it is copied by others in the middle of the night. So at this time, you should analyze whether it is copied by others. This is also a set of data that operations should pay attention to.

•   Acos of advertising expenses and sales

Acos calculation formula: Listing Acos = Listing advertising costs / Listing turnover

The main purpose of looking at this is to tap the potential of the listing. If the Acos is lower than the expected value, then the budget can be increased. If it is higher than the expected value, then optimization must be performed.

•   Is the number of QA and homepage QA reasonable?

In fact, many times, operations will ignore whether the QA at the front is reasonable. Many answers may be detrimental to our conversion. Should we track and deal with them?

•   Other indicators of Listing

Other indicators of Listing can be checked every day.

Mainly look at the following points: whether it is copied, whether the picture is changed, whether the title is changed , selling points, etc.

•   Changes in competitor prices

If your conversion rate becomes lower, analyzing whether your competitors' prices have changed is one angle to look at.