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.

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OsborneHomes - Lifesight
Scorewarrior - Lifesight
Samsung - Lifesight
Goodr sunglasses - Lifesight
Dominos - Lifesight
Toyota - Lifesight
IKEA - Lifesight
Ponos - Lifesight
New Balance - Lifesight
- Lifesight
Bose - Lifesight
KFC - Lifesight
Samsung 1 - Lifesight
McDonalds - Lifesight
Costa Coffee - Lifesight
Dell - Lifesight
Elk - Lifesight
Subway logo - Lifesight
mark and spencer - Lifesight
Mercedes - Lifesight
Pizza Hut - Lifesight
Decathlon - Lifesight

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.

Explore the solution in detail.