Find winning products based on sales volume data

Find winning products
based on sales volume data

Access daily sales and pricing data from key e-commerce channels to stay ahead of the competition and drive growth

Currently available categories:

Furniture
Home & Garden

For other categories, Get in touch

Read about us on

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20232024
+60.4%
Average growth

In 2024, the companies of Skubi users grew by an average of 60.4%

Miklya Attila

Miklya Attila

CEO, Skubi

How SKUBI helps

Before
You don't know which products to sell, and you think that product selection is a risky process
You miss the trends and don't bring in the products that your competitors are selling the most
You advertise bad products and lose more money
After
You get real sales data for the products, so you can easily find the best products
You notice the trends first and out-sell your competitors
You don't lose money on bad products
Example SaaS

Monthly TOP product report

Don't miss the best products in your category! Skubi sends you the previous month's top list by email, and you can also filter the top lists on the platform.

Example SaaS

Product Finder

Are you in the process of sourcing or testing a product idea? The Skubi product finder helps you find the best product based on real sales data.

The top 8% of products generate 78% of the revenue.

What our customers say

Balogh Endre

Data Discovery

Jankó Ádám

JPK Trading

Puskás Éva

Hello Seller

Pricing

Free

Limited Early Access

The early access includes the Home & Garden category

Monthly TOP product report - from 5th to 10th place

Product database without sales data

Home & Garden category

Full Early Access

The full early access includes the Home & Garden category in a monthly subscription

Monthly TOP product report - never miss the best products

Product finder - find the best products based on real sales data

Home & Garden category

More than 250,000 product sales data

Representative Hungarian market data

Monthly updates

*Prices do not include VAT

FAQ

Find winning products based on sales volume data