Case Study: a leading CPG manufacturing company improves campaign ROI with Fractal's Bayesian regression analytics

Optimize product portfolios using Bayesian Regression analytics

A leading CPG manufacturing company partnered with Fractal to address the challenge of optimizing campaign ROI after shifting its messaging strategy. The key difficulties involved comparing the sales impact of the new customer-experience messaging against the old approach, understanding the effect on private label products, and determining how to optimize future marketing spending for maximum return.

Fractal implemented a solution using Bayesian Regression analytics within a marketing mix model to measure performance. This approach quantified media impact, calculated ROI by product line, and isolated the true effect of the campaigns by removing other influencing factors. The results provided the CPG manufacturer with actionable insights that enhanced its marketing and trade strategies, allowing it to focus on high-ROI channels and customer-centric campaigns for improved sales growth.