
Marketing Mix Modeling (MMM) helps consumer-focused businesses improve marketing efficiency and boost ROI. In today’s fast-changing retail and QSR landscape, many traditional approaches fall short. They often miss critical factors like cross-channel influence, lag effects, and shifting consumer behavior.
To address these gaps, MathCo built a data-driven MMM solution that uses advanced regression techniques and behavioral insights. The model captures both immediate and long-term campaign impact, allowing the client to allocate spend more effectively, plan smarter campaigns, and improve ROI and conversions.
Problem statement
The client, a leading global quick-service restaurant chain, sought to strengthen its marketing decision-making by gaining a deeper understanding of media effectiveness, cross-channel interactions, and spend optimization. Existing methods lacked the ability to measure true ROI, capture interaction effects between marketing levers, and account for regional variations in consumer behavior. Additionally, the absence of a centralized platform for planning and evaluating marketing activities made it difficult for teams to forecast campaign outcomes or simulate budget scenarios with confidence. The client needed a scalable, user-friendly solution that could address these limitations and support more strategic marketing investments across multiple markets. MathCo partnered with the client to create a robust MMM framework that helped the client improve campaign efficiency and unlock better marketing strategies and outcomes.
Impact
- Optimized media spend improved ROI by 15-25% by reallocating to high-performing channels.
- Cross-channel synergy boosted conversion rates by 20-30%, maximizing impact
- Localized digital campaigns (geo-targeted ads) improved sales in low-performing regions by 10-12%
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