All language subtitles for 1. Understanding Amazon Best Seller Rank (BSR)

So before I jump to teaching you about how to research, the first thing that I want you to learn is

BSR or bestseller rank, because without knowing how it works, you won't know how to conduct research.

Amazon bestseller Rank, or BSR, is a run given to Amazon products based on products orders compared

to other products in the same category within a given amount of time.

The Amazon BSR of products can be found in the product description section.

Amazon BSR is a very important metric for Amazon sellers and their products.

You need to understand Amazon best seller and to make better nesh and design choices.

The Amazon bestseller is calculated based on the sales of a product and gets updated on a regular basis

throughout the day by Amazon.

The rank reflects the current sales of the product and the sales history to the products with the rank

of number one means it has recently sold more than any other product in that category in the marketplace.

Also note that the sales rank of a product differs in different Amazon marketplaces.

The PSR value is closely tied with sales velocity, which is the frequency of sales in any given period

of time.

High sales velocity means the high frequency of sales in a given period of time and a lower sales velocity

means a lower frequency of sales in a given period of time.

BSR tends to get lower with the high sales velocity, and it tends to get higher with the lower sales

velocity.

Now I'm going to show you a few points and scenarios of how the BSR fluctuates based on movement depends

on the volume of sales of a particular product in a specific period.

And depending on the sales volume in that category, when a t shirt sells once for the first time,

it gets assigned a BSR between two hundred thousand and three hundred thousand for that period of time.

And the novelty t shirt category, for example.

This is according to my experience.

If it continues to sell within the same day, the BSR goes down respectively, as it gets more and more

sales, let's say you make another two sales within the same BSR update period because the stock is

updated every sort of three hours roughly.

You'll be a summer dropped to one hundred thousand ish, considering the overall sales volume for that

category has stayed consistent.

Now the BSA will stay the same the next day if your sales volume stays the same for that product and

for the category.

For example, you sold 10 yesterday and today the BSR will roughly stay more or less the same.

Considering the overall sales of the category stays the same.

However, it will go up if there are more sales in that category compared to the previous day, and

it will go down further if there are less sales in the category.

If a product with a good sales history doesn't sell today, the algorithm doesn't make it increase in

base as much as the products with less or no sales history.

So sales history makes the products retain a good base position.

As long as sales recover, the BSR value assigned will vary depending on the overall volume of sales

in that category.

For example, June low sales periods, one sale might give you a base of one hundred and eighty thousand,

whereas in high sales periods such as Christmas, one sale might give you a base value of three hundred

and fifty thousand four hundred thousand, give or take.

So in conclusion, the BSA is a powerful metric because it allows us to predict how often product sales

on Amazon and therefore understanding is the key to conducting better design and niche research.