In the process of selecting products, data analysis is very important a part of the first to go in the Amazon list, we are mainly through the best sellers and new releases of these two lists of data analysis, sellers through the left side of the box to choose their own interest in the category.
One, hot list analysis
For this aspect of the search results analysis, sellers can be based on the number of search results, price range, the overall number of positive reviews, the overall rate of positive feedback and other circumstances, and ultimately come to a conclusion on the search results.
Handling process: through the best sellers list to choose a product into the store, and then in the store to find the number of reviews in 30-50, on the shelves of the time of 3 months or so products, on the shelves of time can be through the product of the first review of the time to estimate, and then in the other BS stores to find whether there is a similar product, through the Google Then find out if there are similar products in other BS stores, and analyze the trend of product hotness through Google trends.
Two, product data analysis
In this aspect of sales data analysis, we enter the Amazon foreground enter the product keywords, through the JS software to see ranked in the first page of the product's sales, rankings, reviews, hot and cold products do not do, hot is the first page of the product's reviews are thousands of products, cold is the first page of the product's daily sales most of the products are not up to 30 single (high price). have not reached 30 single (high price, very high profit margin products except).
Three, competitor analysis
Mention of competitor analysis, mainly in:
① Competitor brand influence
② Competitor price and positioning
③ Competitor Review analysis
④ Competitor listing
From the competitor's listing you can determine the seller's professionalism. Seller's professionalism, if similar sellers are veterans, and there is a price advantage, Amazon bully strategy suggests not to compete head-on with big sellers, we can choose other segments of the product, for example, big sellers to do the product is a different watch, children's watches is a niche market.
Four, operating cost analysis
First of all, through the FBA calculator to initially estimate the interest rate of the product, the gross margin is best to be higher than 30%, because there are still advertising inputs in the late stage, labor costs, gross margin is too low can only be thinly disguised, but the sales volume is an uncontrollable factor, so in the selection of the product should be strictly control the profit margin.
You can go to the Amazon seller bar to see, the bar has shared the Amazon seller selection tutorials, very practical, I also received a copy of