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Marketing Analytics

Enhancing ROI through Media Mix Modeling

Optimizing marketing spend across channels for a leading consumer electronics brand

Enhancing ROI through Media Mix Modeling

The Challenge

A leading consumer electronics brand faced challenges in attributing sales to specific channels

and maximizing return on investment (ROI) across various marketing channels, including TV, digital, print,

and out-of-home (OOH) advertising. Despite substantial investments in marketing, they needed a data-driven

approach to measure channel effectiveness and optimize budget allocation.

Our Solution

We implemented a comprehensive approach:

1. Data Collection

  • Gathered historical marketing spend and sales performance data
  • Integrated TV ratings, digital impressions, print circulation, and foot traffic
  • Collected external factors data (seasonality, competitor activity)
  • 2. Model Development

  • Built regression-based media mix model
  • Applied TURF analysis for optimal channel combination
  • Controlled for external variables
  • Quantified contribution of each media channel
  • 3. Analysis and Optimization

  • Identified underperforming channels
  • Highlighted high-ROI channels
  • Discovered synergy effects between TV and digital
  • Simulated different budget allocation scenarios
  • The Results

    The implementation delivered significant improvements:

  • Increased overall marketing ROI
  • Reduced marketing spend without compromising sales
  • Improved cross-channel attribution
  • Maximized unduplicated reach across channels
  • Enabled data-driven decision making
  • Unlocked hidden value through continuous monitoring
  • The client successfully realigned their marketing strategies, resulting in significant cost savings

    and revenue growth through optimized channel allocation and improved targeting.

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