The Results
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The Challenge
A top global beauty brand generally generates millions of USD during peak campaign hours, but struggles to make pricing truly dynamic to boost its revenue further. They needed to process millions of data points every 15 minutes while facing platform restrictions that prevented automated price changes.
- Millions of data points requiring near real-time processing
- Key sales windows during campaign hours
- Platform limitations are blocking automated price updates
- Risk of lost revenue from static pricing during demand surges
The Solution
- Deployed the ADA Data Accelerator Platform to enable live campaign performance tracking
- Developed SOP with multiple stakeholders to execute dynamic repricing on key SKUs
- Applied data science criteria to determine optimal pricing adjustments
- Integrated process into campaign operations for rapid action
The Execution
Our platform helps brands go beyond static pricing by using real-time data to identify and capture new revenue opportunities, as demonstrated by our work with a top global beauty brand. Here’s how our solution enables a truly dynamic pricing strategy, even with complex platform restrictions.
1. Real-Time Data Activation
The first step was to address the challenge of processing millions of data points in near real-time. We deployed the ADA Data Accelerator Platform to track live campaign performance as it happened. This platform acted as a central hub, giving the brand a continuous, up-to-the-minute view of sales, demand, and other critical metrics during their peak campaign hours. This live data feed was crucial for moving away from a static pricing model and reacting instantly to market changes.
2. Data-Driven Strategy & Recommendations
With the live data flowing, our team applied a robust set of data science criteria to analyse performance and determine the optimal pricing adjustments. This removed guesswork from the process. By analysing demand surges and other key factors, our system provided data-backed recommendations on which SKUs should be repriced and by how much, ensuring every adjustment was designed to maximise revenue.
3. Operational Integration & Rapid Execution
The final and most critical step was overcoming the platform limitations that prevented automated updates. Instead of building a direct integration, we developed a standard operating procedure (SOP) with multiple stakeholders. We integrated the entire process from data analysis to recommended changes directly into the brand’s campaign operations. This streamlined workflow allowed key personnel to act on our insights quickly and manually execute the dynamic repricing on key SKUs
