Private label repricing is the automated price optimization of your own branded products on marketplaces such as Amazon.
For brand sellers, it is crucial to remain competitive, secure margins and increase the buybox ratio.
Private label repricing is aimed at sellers who offer their own branded products on platforms such as Amazon. Unlike classic repricing, in which various retailers compete for the buy box, private label repricing is not aimed at a price competition, but at the dynamic adjustment to market behavior and demand.
The goal is not to be the cheapest provider, but the most profitable — while maximizing visibility.
Typical application examples:
The most important KPIs for successful repricing for private brands:
Data-driven private label repricing not only improves margins, but also makes a significant contribution to brand perception — for example through consistently high product availability or stable prices despite market pressure.
Read more about this in the blog: Is repricing really worthwhile for private label products?
Private label repricing means that brand sellers have their prices adjusted automatically — based on sales figures, inventory or seasonal trends. Objective is Not the price war, but the clever management of supply and demand.
An example: If a product is almost sold out, the system automatically raises the price slightly in order to expand inventory and maximize profit at the same time. This creates strategic price trends without the need for manual intervention on a daily basis.
“I have no competition — so why repricing? ”
Wrong: Even without direct competing products, the market (e.g. change in demand, visibility) influences the optimal price.
“Repricing destroys my brand value. ”
Not when properly configured. With minimum price limits and intelligent control, repricing can Even protect the valuebecause it prevents overreactions (e.g. overly aggressive discounts).
“This is only interesting for big sellers. ”
No For just a few products with stable demand, data-based repricing is worthwhile in order to relieve processes and systematically scale them.