When you’re considering selling a product on Amazon or you have a product and want to see how it compares to the competition…
…knowing how many sales other sellers are getting is important.
Well, you want to know whether there are enough sales to make it worth jumping into the market…
…and you want to know what it will take to beat them.
Now, there is a manual way to figure this out.
To know how much of a product is selling, you’ll need to go to the product listing, then add “999” as the Cart quantity.
Once you do that, it will show you how many units they have on hand.
In order to track daily sales, you’ll need to do this every day for several days at the same time each day. Then you’ll see how many units they are selling each day.
I don’t know about you, but that is time consuming.
That’s why we built this functionality in ASINspector.
Not only will you see their estimated number of units sold per month, but you can also see how much inventory they have on hand and even how much revenue they are estimated to have each month.
Once you know these numbers for your competitors, you’ll have a lot of valuable intel to work with that can help you decide whether you have a solid candidate for a new private label product.
But how reliable is the data from ASINspector?
After all, if you’re using ASINspector’s research data to make decisions, you need to know that the data is worth making decisions with right?
It all comes down to the algorithm that ASINspector uses.
The reason we originally built this tool is that our team was finding some serious discrepancies with several tools we were trying – not little differences, but HUGE differences.
Most tools just use a simple calculation which does not correlate over to other Amazon platforms (ie. .ca, .uk, etc.)
We compare it to 1000’s of real products, in multiple categories – using the “real data”, and it’s constantly adjusting based on variances.
Currently we are within a 5% variance in multiple categories and across multiple Amazon platforms.
There are so many factors involved and we are trying to take into account factors like:
* Seasonal products…
* Special promotions like Prime Day & Black Friday…
* How it was searched…
* How fast it ranked based on history…
* And many other factors.
At the end of the day, it’s a tool with “estimated numbers.”
We are not trying to get an award of getting to the closest #to “their” particular product that is being matched (however they searched it).
We built the ASINspector to save a tremendous amount of time in so many different ways, to figure out a large amount of Intel and data in seconds…
…and the ability to get a pretty solid idea of whether you want to play in a particular category or know how a competitor is doing.
To that end, I trust ASINspector to help guide my decisions on new products to consider, and I know you will too when you use it.