meti.health provides data and analytics that help life science companies understand and improve the human side of healthcare. The company tracks Brand Health Impact (BHI) to quantify healthcare professional priorities and correlate brand perception with product usage. This enables pharmaceutical firms to differentiate their company brand beyond the product itself and improve marketing effectiveness.
Funding
Funding not disclosed
Founders
Product
Problem
Life science companies focus primarily on the clinical efficacy of their medicines, yet health outcomes are heavily influenced by human factors such as patient lifestyle, health literacy, and access to equitable care. Without visibility into these non-clinical drivers, companies struggle to connect with healthcare professionals and patients in ways that improve real-world treatment adherence and long-term success.
Solution
meti.health provides data and analytics that illuminate the human side of healthcare, helping life science companies understand the factors that truly affect health outcomes. The platform enables companies to track their Brand Health Impact (BHI), a lead indicator that measures how their company brand is perceived relative to competitors within a treatment category. By quantifying healthcare professional priorities and correlating brand health with product usage and preference, meti.health helps organizations create differentiation beyond the product itself. This approach allows companies to improve marketing effectiveness while ultimately helping more people benefit from medicine for longer periods.
Target Audience
Primary customers are life science and pharmaceutical companies seeking to understand and improve brand perception among healthcare professionals, with a focus on marketing, market access, and commercial strategy teams.
Features
- Brand Health Impact (BHI) tracking that measures company brand perception versus competitors within treatment categories
- Quantification of healthcare professional priorities to reveal what matters most in specific therapeutic areas
- Correlation analytics linking brand health metrics with actual product usage and preference patterns
- Lead indicator reporting that forecasts sales outcomes before they materialize
- Category-level differentiation insights that extend beyond individual product attributes