ZONRESEARCH
TOOL
Discover potential homerun products to sell on Amazon
Discover potential homerun products to sell on Amazon
With ZonResearch, profitable products are no longer a needle in a haystack. You can search through millions of products in Amazon’s database for potential home-run products with high demand, low competition, and high-profit margins. The ZonResearch tool generates winning products that match your criteria within seconds.
No one knows your business needs and preferences better than you do, so we let you call the shots. Specify your criteria for profitable products with advanced filters, such as price, monthly sales, monthly revenue, number of reviews, and more.
Get accurate results with our advanced algorithm and make informed, data-driven decisions that will increase your chances of success on Amazon.
Amazon product research is the first step on your journey to becoming a successful Amazon seller. And this phase is crucial because it largely determines whether you’ll succeed or not.
You can’t decide to sell a product simply because you like it. What if many Amazon shoppers don’t like it? Besides, the Amazon marketplace is saturated with hundreds of sellers selling the same product. So, even if a product sells well, you have to share the cake with competing sellers, which means lower earnings for you.
Amazon product research is the first step on your journey to becoming a successful Amazon seller. And this phase is crucial because it largely determines whether you’ll succeed or not.
The ideal product ticks three boxes: it has sufficient demand, low competition, and
good profit margins.
There you have it, a product research checklist. Sounds easy, right? It is. But it could get difficult if you don’t use the right tools and resources.
There are tons of products in Amazon’s database and it’s almost like a black box that’s difficult to pick a suitable option from. Let ZonResearch be the light on your product research journey.
Whether you’re a new seller trying to find that all-important first product or a seasoned seller looking to diversify your offerings by launching additional products.
With ZonResearch, you can search through the millions of products in Amazon’s database for profitable products. ZonResearch helps you discover potential home-run products in a matter of minutes.
Despite how competitive the Amazon Marketplace is, opportunities abound. And you can find them with the ZonResearch tool.
The ZonResearch tool helps you identify product opportunities that meet your profitability criteria. Remember the criteria we mentioned earlier? A product with sufficient demand to generate high sales volume, not saturated with many competing sellers, and with good profit margins.
To generate products with low competition, high demand, and high profit potential, you can set the filters so that the algorithm generates products that match these criteria. For example, you can set the number of reviews to be a minimum of 20 and a maximum of 50 as that signifies low competition.
To use ZonResearch, first tick the product categories you are interested in. Then, set your filters to narrow down your search like in the image below.
A. Amazon product research is the process of finding the homerun potential product to sell on Amazon. The goal is to use the latest trends and data available from the Amazon marketplace to find a winning product that will bring maximum profitability and high volume sales.
A. Without product research, you’ll have to guess what products sell well, and guesswork can be unreliable. You could invest in a product with low demand, high competition, and low-profit margins, and end up making a loss.
But when you analyze available data, you can assess products with good demand, low competition, and high profit potential. This way, you make informed decisions and earn a lot of profit.
A. A good product opportunity satisfies the following criteria: the product has enough demand to guarantee high sales volume, there aren’t too many sellers offering that product, and the product has good profit margins.
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