1. Jungle count:
1, quick perspective, list page data.
2, data perspective, at a glance, the latest plug-in version 5.0+ can easily perspective data. After installing the plug-in, you only need to open the Amazon search results page to get all the ASIN data, making it easier and faster for you to browse the data.
3. Get the sales of competing products with one click.
4. Verify the idea of product selection. Through daily sales, historical rankings/sales/prices and other data. Our independent research and development makes it easier to analyze market trends, eliminate doubts about product selection and put down explosive products.
5. Market competition analysis. Each keyword represents a market segment. The opportunity score of plug-in is given on the basis of comprehensive consideration of the relationship between supply and demand, the degree of competition and the existing listing quality, which helps sellers quickly and effectively screen out product opportunities worth exploring.
6. mass marketing. Sending emails in batches through JS plug-ins improves the efficiency by 80%, while retaining the function of "sending requests separately". Sellers who do refined operations can test the delivery effect by controlling variables.
JS plug-in can also intelligently identify buyers who have applied for a return. For these buyers, the system will automatically screen them without sending invitation reminders, thus reducing the probability of bad reviews.
Helium 10: It can quickly analyze the average sales volume, price, weight and market competition of any product on Amazon.
Third, Google trend: reflecting the dimension of the annual hot search list, sellers can study it carefully and dig deep into the selling points of products.
Fourth, Europe: we can find out the current ranking, evaluation and price of competitors. It will help to select explosions through AI artificial intelligence analysis. The 30+ filtering conditions are suitable for different types of sellers, and it also has a more comprehensive data analysis dimension.
Fakespot: This tool is mainly used to do review research and judge whether a product has been brushed.