Advantage Of Jungle Scout is based on much more reliable data than AMZ Scout, and its predictions are constantly improving. As a result, using Jungle Scout when trying to sell a new product on Amazon is inherently better.Don't believe us? Check out Jungle Scout's daily case studies, which prove that Jungle Scout reliably outperforms other resources in terms of data precision. Jungle Scout has the most up-to-date information, far surpassing that of AMZ Scout. Jungle Scout is actually 47% more reliable than AMZ Scout. What are the implications of these findings for real-world financial risk? Find the following example of how data quality can be considered in product analysis. The accuracy of Jungle Scout Consider the following scenario. We've just created a fantastic commodity to market. However, before we jump the gun and order inventory, we need and run the numbers to ensure that it will be lucrative on Amazon.

To assess our risk of investing in this new product, we must weigh the likelihood that it will not sell at all, as well as the amount of money we stand to lose. Let's say we expect our commodity to sell 500 units every month. We find a dependable Chinese supplier who gives us a fantastic manufacturing price of $5 per product. We'll prepare ahead and buy three months' worth of supplies to stop an initial stock out, resulting in a $7,500 bill from our supplier. We want to make sure we're using tech that gives us the highest chance of success with our new product because it's a big investment. 84.1 percent accuracy sounds impressive, but how can it apply to a possible business failure? Let's look at the margin of error, which is the probability that the data isn't correct and can lead to over- or under-estimating potential sale.