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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British American Tobacco
Mango - Lifesight
Decathlon - Lifesight
Scorewarrior - Lifesight
Harvey Beef - Lifesight
Guardian - Lifesight
- Lifesight
Subway - Lifesight
OsborneHomes - Lifesight
Ray Ban - Lifesight
Goodr - Lifesight
Eu yan Sang - Lifesight
Costa Coffee - Lifesight
Mango 1 - Lifesight
KFC - Lifesight
Sealy - Lifesight
Pretty Fit - Lifesight
Castrol - Lifesight
IKEA - Lifesight
Bath Body Works - Lifesight
Spendless - Lifesight
Seidensticker
Ponos - Lifesight
New Balance - Lifesight
BetterBrand - Lifesight
Krispy Kreme - Lifesight
Dyson - Lifesight
San Miguel - Lifesight
Sunglass hut - Lifesight
KTM - Lifesight
Grohe - 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.

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