In November 2023, after Amazon’s qualification review, SellerSprite officially joined the Amazon SPN (Amazon Service Provider Network). This also means that SellerSprite has been fully recognized by Amazon in terms of reputation, service capabilities and brand influence.

Market Basket Analysis is a method of tracking the purchase behavior of consumers and understanding what customers often buy together when they buy your products.

Children's Day is coming. Do you know which products sell best under "Toys and Games"? What is the most monopolistic category? What category has the highest proportion of new products?

You can use SellerSprite to select products through the following steps:
Product Research - Market Research - Custom Category - Competitor Lookup

Under the outbreak of Coronavirus, customers’ demand has changed a lot. here is a Case Teaching of Product Selection on Amazon.

With the release of "Home Quarantine Order", hundreds of millions of people in Europe and the United States have been forced to stay at home, including parents with children, students who are driven crazy by online classes, and most people with weight gain.

As Amazon's replenishment of non-essential products gradually returns to normal, many sellers’ sales have soared. Recently, Stackline, a leading research organization, released a list of the top 100 fastest-growing categories for online transactions.

Search volume of the hand sanitizer surges by 631% on Amazon？ Take one minute to know products with soaring demand during the Coronavirus(COVID-19).

Many sellers who have succeeded on Amazon US are planning to expand more marketplace. When choosing a new marketplace, it is important to know in advance what categories are available and which subdivided markets have a larger capacity, less monopolistic, less competitive, and easier to enter.

For a long time, most sellers used the traditional product research method: focus on the "Best Seller Rank", "Hot New Release" and "Movers & Shakers" all the time.

As an Amazon seller, in order to make the category we intend to develop and operate go further and wider in the future, we used multiple ways to obtain historical data to predict the future development trend of this category.