Discover how mimbi TRANSFORM simplifies data transformations and analysis for retail media managers. From test and learn management to out of stock impact analysis, explore 5 advanced use cases that showcase the platform's versatility and effectiveness in maximizing your retail media impact.

Discover 5 powerful use cases of mimbi TRANSFORM for retail media managers. From custom labels to automated KPI calculations, learn how to maximize your impact.

mimbi TRANSFORM - the easiest way for retail media teams to go from raw data to powerful insights without writing a single line of code.

SQUARE is the most advanced data model for Retail Media and Commerce Analytics (Amazon, Criteo...). Take control of your commerce data and move faster.

Brand Analytics, Inventory, and Returns — provide tremendous insights into increase Amazon ads ROI

In this post, we’ll explore the limitations of current retail media analytics and outline the key features marketplace sellers should look for, especially when using a marketplace aggregator.

Success in this new environment requires understanding how digital shelf content and retail media efforts connect to drive product performance. By linking analytics across organic and paid channels, brands can make smarter optimization decisions and get the most from their retail media budgets.

For a holistic and flexible retail media analysis, Business Intelligence (BI) tools like Looker Studio, and Power BI stand out from the crowd.

Let's explore why product-level retail media analysis is so vital for brands and how you can get started mapping your product catalog to unlock greater visibility into performance.

A key capability is mimbi's "Segment" feature, which allows users to restructure their data according to customizable parameters.