Unified patient flow, deployed AI-personalized recommendations across the prescription and telehealth platform, and built data infrastructure for cohort-level targeting — improving conversion while increasing customer lifetime value.
GoodRx operates at the intersection of consumer health and fintech — millions of users searching for prescriptions, comparing prices, and accessing telehealth. But a growth-stage platform at scale faces a specific constraint: funnel fragmentation.
Patient discovery and conversion operated as separate systems. A user landed on a prescription search, got a price, but then friction kicked in, the telehealth experience wasn't personalized to their context or needs. Patients completed a consultation but weren't targeted for follow-up or refills. The data infrastructure couldn't cohort users by clinical need, region, or fill patterns, so campaigns ran one-size-fits-all and retention suffered.
The result: high CAC to acquire users, but the system wasn't deployed to extend patient lifetime value. Funnel metrics were decent in isolation, but the lack of throughput across the entire patient journey meant the platform was leaving significant revenue on the table. Unlocking it required unifying data, personalizing experience, and building agentic flows that could run at platform velocity.
Single patient identity across prescription search, telehealth, and refill history. Real-time ingestion from partner pharmacies and telehealth sessions. Foundation for all downstream personalization.
Recommendation engine that surfaces relevant prescriptions and alternatives based on patient history, condition, and coverage. Deployed at search, post-consultation, and refill stages.
Autonomous system that identifies patients due for refills, recommends telehealth follow-ups, and initiates outreach. Runs on patient cohort signals, not campaigns.
Segmentation engine that groups patients by clinical need, fill patterns, and lifetime value. Enables targeted offers, content, and telehealth access based on cohort propensity.
Frictionless experience from consultation to prescription fill. Contextual discounts, alternative medication suggestions, and pharmacy routing, all personalized to patient and coverage.
Personalized recommendations increased prescription search-to-consult conversion by 38%. Patients saw relevant alternatives earlier in the journey, reducing friction.
Agentic refill outreach and targeted telehealth follow-ups improved 30-day and 90-day repeat rates by 28%. Patient cohort targeting enabled precision retention campaigns.
Unified data and personalization engine improved platform economics. Revenue-per-interaction scaled 4.2x as patients flowed through multiple monetization points.
Agentic systems handled routine patient outreach and lifecycle decisions. Clinical and support teams shifted focus to complex cases and retention strategy instead of manual routing.
How platform automation and data-driven personalization scale revenue without scaling team size. The growth-stage economic model.
Data infrastructure, personalization, and agentic systems that unlock growth marketing effectiveness at scale. Practical deployment for DTC.
Framework for identifying and eliminating the hidden friction points that kill conversion. Where your growth is really coming from.
Whether you're optimizing conversion, deploying personalization, or building data infrastructure for growth, we ship systems that compound revenue per unit.
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