Running effective promotions is a critical lever for apparel retailers looking to drive both top-line growth and bottom-line efficiency. However, designing high-impact promotions is complex. Retailers often deal with overlapping offers, inconsistent tracking across departments, and repeated promotions that make it hard to measure true performance. Traditional methods struggle to isolate the real impact of promotional activity, leading to inefficient spend and missed margin opportunities.
MathCo’s promotion analytics solution tackled these challenges through a data-driven modeling framework that accurately measured the incremental impact of promotions. By analyzing daily sales, discount levels, and promotion types, the solution identified baseline demand and isolated the uplift from promotional events. Insights were then aggregated across departments and used to build a centralized promotion optimizer. This enabled smarter planning and more efficient budget allocation. As a result, the client improved campaign effectiveness, reduced promotional spend, and realized significant gains in margin performance.
Problem statement
Our client, a large apparel retail company, was struggling to measure the true effectiveness of its pricing promotions. With overlapping campaigns, repeated offers across years, and inconsistent promotion tracking across departments, the client lacked a unified view of what was actually driving sales and margin impact. Additionally, the absence of a standardized analytical framework made it difficult for planners to choose the most effective promotions. They approached MathCo to build a solution that would help quantify promotional impact, uncover actionable insights, and support informed planning and optimization of future campaigns.
Impact
- ~$6.5 M of bottom line (Margin) benefit quarterly.
- Reduced promo spend by 17%.
- Provided recommendations on corrective measures to be implemented based on the effectiveness of price promotions.
- Increased promo effectiveness by 27%.
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