Hello, everybody. We are a non-profit organization that collects, visualizes, stores, processes statistical data from the shadow segment of the Internet.
Currently we have started to collect statistical data from western markets. The first marketplace we started analyzing "Archetyp".
Here are some peculiarities that should be taken into account when viewing the collected analytics:1. The marketplace shows no more than 350 reviews per request. To collect maximum reviews, we parse reviews for each product separately.
2. The number of deals we collect by the minimum limit, perhaps our mistake and we should have collected by the maximum. Since now the minimum boundary for any seller 1000 deals, and some reviews are collected 6000.
3. We collect absolutely everything that can be collected. We even show how much money users have spent. This is done in the following way: In the reviews is the packaging, on the product page is the cost of this product in this packaging. This is how we know how much money is spent on the marketplace. The figure is, of course, conditional, the real figure is always higher, because not all reviews can show the price. For example, if there is a review from seller A for product B in 1g, and at the same time there is no offer for 1g, we can't determine the price by such a review.
Below you will find a small instruction on how to use our service:
Seller geography section.
Here you can choose a country or a product.
If you select a country, you will see all sellers that send goods from this country.
If you specify a product, the table will show sellers that offer this product, and the heat map will show you where most of the goods are shipped from.
1. Country selection (but the map can be enlarged, it is clickable).
2. Selecting a product category
3. Selecting the period of time for which to display data (applies only to reviews and the number of users that left them).
4. Table with detailed data.
Review dynamics
Here is a graph based on the collected feedback.
You can filter the graph by the following parameters (parameters can be combined). Region of origin, product category, seller.
You can also build different graphs and compare them. For example. you can compare a graph of reviews of amphetamine sales and a graph of reviews of MDMA sales.
Demand analytics section:
This section provides a table of sellers, their products, number of reviews, and number of review authors.
The table can be filtered by product category and prepackaging.
To the right of the table, a diagram of the market distribution shares is displayed. For example, if you select Amphetamine in the table, then click to view the market share chart, you will see the top Amphetamine sellers on the market.
Below the chart there is a menu that shows the following information:
How many total offers of the product have been found (if the product is not selected, all offers existing on the market are shown). The average price of the product in US dollars...
Then there are data that are formed depending on the selected time period, namely:
How many users have left feedback on the purchase of this or that product, how much money they spent on it.
P.S.The remaining sections will most likely not raise any questions, but if questions remain, please ask. If you have any questions about the methodology of data collection, please ask, and I will be happy to answer them.
P.S.S. Our service is Russian, but in the near future the site will be translated into 27 languages. The site content for each language will be different in order to be as relevant as possible. For now you can use a normal browser with google translator enabled.