Case Study: a large retailing company achieves 25% higher GMV across pet categories with Tredence's optimized SEM spend solution

Large Retailing Company - Customer Case Study

The large retailing company sought to maximize its marketing return on investment and optimize its weekly budget allocation for search engine marketing (SEM) within its pet categories. To address this challenge, they enlisted the analytics firm Tredence.

Tredence implemented a solution utilizing a multi-touch attribution model and a polynomial regression to establish the relationship between SEM spend and gross margin. Their approach used linear programming to optimize spend allocation, aiming for the highest possible ROI. As a result of Tredence's work, the retailing company was able to reallocate its SEM budget, which subsequently achieved approximately 25% higher gross merchandise value across its pet categories.