Maspex has achieved a significant boost in their Return on Advertising Spend (RoAS) by employing data-driven strategies to optimize marketing budgets.
Meet our client
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Client’s Challenge
Maspex, a major food producer, struggled to measure the impact
of its numerous promotional activities across 1,000+ SKUs. The complexity of campaigns, combined with inconsistent data due to the pandemic, made it hard to analyze which promotions drove sales.
Our Solution
We developed a tool using demand and sales prediction models to simulate marketing campaigns and measure their effectiveness. Users can input promotion parameters and receive predictions of incremental sales, helping them choose the most cost-efficient strategies. The solution, built with gradient boosting decision trees, offered highly interpretable predictions.
Client’s Benefits
Maspex has achieved a significant boost in their Return on Advertising Spend (RoAS) by employing data-driven strategies to optimize marketing budgets. These strategies include simulating outcomes, identifying successful promotion patterns, and automating analytics to reduce workload.
