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Case Studies

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Optimizing retail discounts for sustainable gains

Optimizing retail discounts for sustainable gains

Optimizing retail discounts for sustainable gains

How analytics experimentation generated $2.6M additional profit

How analytics experimentation generated $2.6M additional profit

$2.6M

Profit increases

8-week

Trial period

44

Locations tested

Actionable insights

The challenge

Finding a sweet spot for retail profitability

A leading U.S. retailer sought to test the impact of either removing or lowering a 25% discount on electronic accessories. Previous promotions boosted sales but often eroded margins. The retailer needed data-driven insights to determine how altering discounts would tip the balance of unit sales vs profitability.

Key challenges

  • Aligning pricing decisions with observable consumer behavior

  • Deriving statistically valid results across disparate locations

  • Optimizing discount strategies for profitability

  • Evaluating margin vs. volume trade-offs

The solution

A Trial Run retail experimentation

Data-driven insights

POS and product hierarchy analysis

Synthetic control algorithms

Demographic controls

Cloud-based solutions

AWS-powered EMR and S3

PostgreSQL for scalable trials

Automated scenario testing

The impact

Empowering profitability through data-driven decision-making

Financial impact

$2.6M

In annual profit

  • $26K margin gain across 22 stores

  • Chain-wide scalability

  • Improved revenue visibility

Business insights

Optimal

Discount removal identified

  • 8-week trial results validated

  • Statistically significant findings

  • Empowered decision makers

Streamlined testing

44

Stores tested

  • Controlled trial flexibility

  • Rapid scenario iterations

  • Faster decision timelines