What does Amazon sales do? What are the operations tasks?

E-commerce is changing all the time, so there is no so-called one path or one set of methods to follow to the end. If you want to achieve good results, you need to be flexible and proactively deal with all the problems you face. Next, let’s learn about what Amazon sales do.

1. Product preparation

In the early stage of testing, you can use the neutral packaging provided by the manufacturer, but it is better to buy stickers to put your own brand on it, which is very helpful to prevent copycat sales and improve customer experience. In the later stage, you can directly buy packaging with a printed logo, and you also need to purchase samples of the packaging box in advance to confirm the quality. The manual can be confirmed whether to be re-translated and re-printed according to the actual situation provided by the manufacturer.

2. Listing creation

Pricing is adjusted according to different stages of operation. In the early stage, in order to grab traffic, the price is lower than the market price, which leads to low profits or losses. Don't worry too much. It will be adjusted to a reasonable range later. You can use Keepa software to analyze the price stage of competitors as a basis for pricing.

3. Check sales volume and sales amount

This naturally requires daily attention, but apart from taking a quick look, some people don’t even make a sales record list. Sales already exist objectively. Whether you look at it or not, it is there, neither increasing nor decreasing. So, in terms of “looking” itself, it is meaningless. The reason why we need to “look” is to see some of the factors behind it: What factors caused the increase in sales? Can these factors continue to play a role? Is the increase sustainable? If sales have dropped, what is the reason? Is it accidental or unavoidable? What countermeasures should be formulated to deal with it? And so on. If you don’t have these questions, your daily “looking at sales” is just looking.

4. Handle emails and disputes

Although this is a daily necessity, it often does not happen every day. Even an account with an average of 500 orders per day may not receive 5 emails a day. With so few emails, there are even fewer disputes. It takes 5-10 minutes a day to deal with them, which can't be considered "daily" work at all. This part of the work is really small, and it is only a passive processing item. There is processing only when there are emails, and there is no processing without emails. The same is true for disputes. Therefore, saying "daily" is a bit exaggerated. Of course, if you are doing AliExpress, a store with an average of 500 orders per day, there will be an average of 300 or even more emails and disputes per day, so emails and disputes are the highlight of "daily" work. But Amazon is really not like that.

Check emails promptly to see if there are any customer after-sales issues, collect statistics on product reviews and feedback, and update product ratings in a timely manner. If you encounter a bad review, first evaluate the reason for the bad review, whether it is a prank by a peer, a product quality issue, or the buyer is simply in a bad mood.

If it is a product problem, communicate with the customer in time, resend the product for free, and track the customer's receipt. Thoughtful customer service may allow customers to delete negative reviews, while improving the store's brand image and increasing repurchase rates.

Everyone knows that Amazon advertising is very expensive. We need to know not only how much money is spent every day, but also which products and words the money is spent on, which areas need to be adjusted because too much money is spent and no orders are received, which keywords have high CR and CTR and need to be put into phrase matching and precise matching, and which words need to be negated. These problems can be solved through advertising data report analysis.

Every product has a life cycle. In order to ensure the growth of profits every year, product selection is an eternal theme. All operators should have excellent product selection capabilities. For detailed operation methods and tables of product selection, please refer to the Ultimate Guide to Amazon Data-Based Product Selection, which will not be repeated here.

As an excellent Amazon operator, you need to invest a lot of energy and time in the early stage, and constantly explore operational methods to achieve your own or your boss's expected sales targets. Only in the middle and late stages can you form your own fixed methods and routines, and continuously improve your workload and work efficiency.

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