Real Results. Real Impact.
At Penlotus Analytics, we don’t just deliver analytics—we solve real-world problems that matter. From navigating pandemic uncertainty to launching first-in-class therapies, our data-driven strategies have helped pharma leaders drive measurable outcomes at scale.
Explore how our deep expertise in forecasting, AI modeling, patient analytics, and market strategy has empowered clients to act faster, smarter, and with confidence.
These stories aren’t just case studies—they’re proof of what’s possible when the right insights meet the right execution.
CASE STUDY
Rapid response during Covid using Google trends and SEM rush
When COVID-19 brought sudden surges in patient volumes, a leading hospital-focused pharma brand needed to act fast. We harnessed real-time digital behavior—tracking search spikes like “loss of taste” and “COVID testing near me” via Google Trends. By layering in SEMrush keyword intelligence and building dynamic dashboards, we enabled instant demand forecasting and campaign pivots. This proactive approach ensured uninterrupted supply and zero product stockouts, even as global systems strained under pressure.

More Success Stories...

Market Mapping, Opportunity identification and patient Journey for launch planning
A top global biopharma company was preparing to introduce a novel heart failure treatment across APAC but lacked clarity on where to focus limited resources. We delivered a comprehensive market map using integrated EMR, sales, and forecast data—pinpointing high-potential geographies
Predictive Patient Identification using Look-alike Modeling​
Traditional segmentation was falling short for a pharma brand launching a new COPD therapy. We used a powerful look-alike machine learning model trained on real-world data to identify hidden high-propensity patients. With 150+ engineered features and an XGBoost model delivering 0.92 AUC, the outreach

Key opinion leader (KOL) identification using Artificial Intelligence
Manual KOL mapping was too slow and fragmented for a global oncology client targeting influential HCPs across specialties. We deployed a custom-built AI solution—aggregating publications, trial registries, social media, and prescription behavior. Using graph neural networks and topic modeling, we surfaced the most influential voices in days, not weeks.
