How Advanced MMM and Causal Inference Led to a 28% ROI Uplift
Discover how the leading retailer leveraged Lifesight's UMM to drive $107 million in revenue from a $10 million ad budget, achieving substantial improvements in ad spend efficiency and overall marketing performance.
Learn how to maximize marketing efficiency and revenue growth
Explore how a leading multi-brand fashion retailer in the US utilized advanced Marketing Mix Modeling (MMM) and Causal Inference to optimize their ad spend and significantly boost their marketing ROI.
Challenges
- Measuring the impact of Out-of-Home (OOH) campaigns on revenue.
- Identifying optimal budget allocation to avoid saturation and scale ROI.
- Quantifying the revenue contributions from various advertising channels.
Solution
Lifesight's Causal Inference pinpointed the non-linear impact of OOH ad spend, suggesting a strategic 25% budget cut without harming revenue. By calibrating the MMM model with Causal insights, the brand identified their most effective channels and strategically reallocated their ad budget. Lifesight's Budget Optimizer facilitated a shift of budget from OOH to TV commercials, diversifying the media mix for optimum ROI and securing additional budget for new initiatives.
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