# How do we calculate Estimated Monthly Sales and how accurate are they?

Estimated Monthly Sales are, well, estimates! We calculate them using the same proprietary algorithm. As such, although they are estimates, using them as a benchmark and through a comparative approach across different products is a good proxy of how a product is selling differently from another. Plus, if you are noticing the estimates are X% lower/higher than real sales you know one of your products is doing, then you can definitely apply that same percentage to adjust for competitors' products estimates for instance.

How do we calculate Estimated Monthly Sales?
We use a proprietary algorithm that mainly looks at how a product's number of reviews are changing on a daily basis and at the product age, meaning how long it's been listed on Amazon, then apply certain theoretical reviews rate. For instance, assuming that all customers who purchase a product leave a review within 30 days, that the product has had 10 new reviews over a time-frame of 30 days, and that 3% of customers who purchase a product leave a review, then you can make an educated guess that 333 units of that product were sold during that period by dividing 10 by 3%, after which you multiply that by the average selling price of the product to get to the monetary sales volume number.
Our algorithm uses other metrics and indicators such as changes in the Best Sellers Rank and Keywords Position but hey, it's our secret sauce :) !

How accurate are Estimated Monthly Sales figures?
Our customers have reported anywhere between a 10% to 50% miss rate for our estimates (90% to 50% confidence rate), with a rather strong concentration in the ballpark of a 20% miss rate (80% confidence rate). Our estimates are more accurate for products with a higher number of reviews and most importantly with an increasing number of reviews. As such, they get better over time as we gather updated metrics from a product, so we recommend tracking a product for at least 7 days to get more accurate data.

Updated: 18 Jan 2018 06:51 AM