
A New Era of Analytics in Pharma:
How Haleon Increased ROI by 30%
with Data
The Challenge
Haleon, a consumer healthcare manufacturer, primarily sells through offline channels (pharmacies, drugstores, and supermarkets) via external partners. This made it difficult to:
Measure the ROPO effect (Research Online, Purchase Offline)
Track the impact of online media on offline sales
Compare performance across media channels, due to inconsistent metrics
Plan and forecast in real time, as data arrived infrequently and with delays
The Strategy
To address these challenges, Haleon implemented sMMMart AI, which is a smart media mix modeling solution that uses AI and automation for more effective decision-making.
Here’s how it helped:
Advanced econometric modeling (updated monthly) sMMMart AI measured the impact of both online and offline media on offline sales. The model accounted for brand specifics, seasonality, and point-of-sale type, and was refreshed with new data every month.
Automated feature engineering A dedicated module prepared and standardized variables across channels, allowing for consistent and comparable performance metrics.
AI-driven forecasting and scenario testing Haleon could simulate budget allocation strategies, evaluate their impact, and forecast sales to identify the most effective investment mix.
The Results
+30%
ROI increase across all channels
+4%
sales growth among retail partners
+137%
ROI growth in channels previously considered low-performing

