As an Amazon seller and operator, have you considered what factors affect Amazon's conversion rate? How are we going to make a change?
Below I have summarized seven factors that can affect the conversion rate of Amazon for your reference.
First point: pictures
First of all, it is required that the pixel is not less than 1000 to have the magnifying glass function . Judging from the data, the main picture and the second and third pictures have the greatest impact on the conversion rate , allowing buyers to better understand the details of the product. In addition, Anker has also strengthened the adaptation to the mobile terminal; using rectangular product images to enhance the browsing experience on the mobile terminal.
Second point: price
Price is a crucial part of the conversion rate . When all attributes of the same category are not much different, price is a crucial part of buyer intentions, but it is also the easiest factor for sellers to adjust. But there is no need to fight a price war, and it will hurt both sides. I personally prefer to strengthen myself , such as spending more time optimizing the quality of my products , copywriting, pictures , etc.
The third point: QA
If he can solve his doubts through QA , then he will place an order with a high probability. Because most of the consumers who can read QA have the intention to buy, and they also want to have a more intuitive understanding of the product . Therefore, the content of QA must be carefully polished and written around the needs of consumers . Embed keywords in QA , and reflect your solution in QA for the latest negative reviews of competitors . Note: QA do not use your seller account to reply.
Fourth point: Listing completeness and recognition
Try to complete every piece of information that Amazon asks you to fill in, which will not only help Amazon identify your product, but also give you an advantage when consumers compare.
Whether the listing copy conforms to the logic of the local language, and whether it highlights product features and highlights; whether the image design can make consumers "eye-catching".
Fifth point: page stay time and jump rate
The longer a customer stays on your listing, Amazon will think your listing has a higher conversion rate. On average, a customer only stays on a page for 15 seconds, so if you can impress them within 15 seconds, it is half the battle .
Sixth point: product ranking
I believe that 95% of people will only look at the products in the first few pages when shopping, and generally you can find the products you need to buy in the products in the first few pages . Therefore , the higher the ranking, the more buyers you will see , and the higher the exposure, the higher the conversion rate will naturally be .
Point Seven: Comments
E-commerce merchants know that most of the word-of-mouth of e-commerce comes from reviews, so the importance of reviews is self-evident . Everyone has a herd mentality. If one person says yes, you will not be sure. If ten people say yes, you will consider it. 100 If all 90 of them are good, then he will think that this thing must be good. Otherwise, there would not be so many sellers taking risks to do the evaluation . There are also sellers who say that evaluation is risky, which means that you do not know enough about evaluation. There are self-supporting account evaluations and real-person evaluations. Many people think that real-person evaluations are better than self-supporting account evaluations. In fact, I don’t think so. I think real-life evaluations The risk is much higher than the self-supporting number evaluation. why?
1. Account label confusion
There are few real accounts, and many of them are also used in conjunction with self-supporting accounts. Test him today and test you tomorrow. The platform can easily detect it. Normal buyers will not shop like this. Once the risk is controlled, it is easy to be caught by the vine Associated to (if the platform detects that the buyer’s account is manipulating comments, then the stores he has purchased will bear the risk).
2. It is difficult to send the test, it is easy to be ordered by a black card, and the comment is not timely
Many people who have done evaluations know that it is difficult to find a good evaluation, and they often encounter scammers (just look at the seller’s home), get refunded maliciously, and use black cards (cards swiped by software, it is easy) problem) to give you an assessment.
Self-support accounts will not have the above-mentioned problems. One device can register and store accounts unlimitedly. The cost of registering an account is only about 5 yuan, which is very low. The account is completely in your own hands and can be measured anytime, anywhere. The label is accurate, and there is no need to worry about being black-carded to place an order, being associated, and so on. However, self-support accounts have relatively high requirements on the environment and technology, and it is difficult for anyone to really do well. So what are the environmental requirements for self-supporting numbers?
Amazon's risk control is the most stringent in the industry. During the risk control period, there are dozens of risk control points. Can your environment meet the requirements without being detected? Still have payment issues? Because a kind of card is easy to be risked after a period of use, it is necessary to update the card section from time to time, otherwise the success rate will be difficult to increase, but there are several evaluation studios on the market that will take time to test new cards Where is the head? It doesn't take time to count, and a lot of dollars have to be invested in testing.
There are also many studios because the environment is not doing well, and the success rate of registering new accounts and placing orders is not high. All of them will directly purchase accounts to do it. After one or two or a few accounts, there will be problems, and then continue to buy, anyway. Profit, if it fails, it has nothing to do with you.
Having said so much, it is not that the self-supporting account is not good, but that many studios are not mature enough. According to our many years of experience, the evaluation of self-supporting accounts needs to solve the ip , the underlying environment, the browser, the method of registration and ordering, payment card, etc. Every link is very important, and the points of risk control are different every time.
Because there are many risk control points for big data on the platform, we need to solve several problems in terms of anti-correlation.
One: Association of hardware parameters, security code, area code, supervision code, imei serial number, physical mac address.
Two: IP purity (including IP association, DNS will not skip countries, WebRTC local area network will not be exposed to China or blacklist blacklist IP ).
Three: Anti-association of browser cookies .
Four: The relevance of foreign payment cards and card risk control issues.
Five: Each account has thousands of people and faces, the weight management and tag management skills of account maintenance.
These will affect the weight of your store and the safe and stable use of your buyer account. If these are done well, the success rate can reach more than 95 %. So it’s not that a self-supporting account is not as good as a real person’s evaluation. You can do evaluations, follow sales, counterattack, etc., as long as the buyer’s account can do anything.
Well, I will share here today, welcome to comment and exchange! I wish you a great sale ~ !