Customer Success Story
How Pharmacy295 gained 29% higher revenue through automation
Lifecycle automation, segmentation, and recommendations helped Pharmacy295 turn trusted relationships into sustained ecommerce growth. See how data-driven customer journeys supported measurable pharmacy revenue gains.
what's inside
Pharmacy and health-and-beauty retailers operate in one of the most demanding commerce environments. Customers expect relevance, trust, and timing to be perfect - whether they're restocking essentials, exploring new products, or managing recurring needs. At the same time, competition is intense and loyalty is fragile.
Pharmacy295 faced exactly this reality as it scaled its ecommerce presence alongside five physical stores. Generic campaigns could no longer support growth. The business needed a smarter way to use customer data to drive repeat purchases, increase average order value, and personalize engagement without overwhelming customers or teams.
By adopting ContactPigeon Customer Engagement Platform, Pharmacy295 unified behavioral, transactional, and engagement data into 360-degree customer profiles - creating a single source of truth for every shopper. This foundation enabled the brand to activate AI-powered, lifecycle-driven automations tailored to real customer needs.
In this case study, you'll discover how Pharmacy295:
- Unified behavioral, transactional, and engagement data into 360-degree customer profiles
- Activated behavior-driven automations across the full customer lifecycle
- Built personalized campaigns for cart recovery, rebuy reminders, and product recommendations
- Achieved 29% higher revenue through automation and 6% higher average order value (AOV)
This case study shows how pharmacy and health-and-beauty retailers can move beyond generic marketing tactics and build a scalable personalization engine - one that respects customer trust, supports recurring purchase behavior, and turns data into sustained revenue growth.
Get the case study
Pharmacy295 Case Study
Get the full story on automation, segmentation, and recommendation-driven pharmacy growth.