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Tabz (formerly HealNow) — Transaction-level prescription checkout and dispensing data: who paid, how much, how manufacturer copay assistance was applied, HSA/FSA vs card vs installment split, abandonment/drop-off points, time-to-payment, refill and adherence engagement events. Small but high-density: ~49 employees, Seed, $1.3M raised, New York. Data value is per-transaction richness (payment tender + copay + adherence) rather than breadth of population. Use cases: Manufacturer patient-access-program effectiveness modeling, copay-card optimization, abandonment/drop-off causal analysis, afforda…
Datasets
1Transaction-level prescription checkout and dispensing data: who paid, how much, how manufacturer copay assistance was applied, HSA/FSA vs card vs installment split, abandonment/drop-off points, time-to-payment, refill and adherence engagement events
From 3 yearsCoverage Health CareAsset class Equities
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What buyers ask about Runontabz, answered from this page.
What does Runontabz do?
Tabz (formerly HealNow) — Transaction-level prescription checkout and dispensing data: who paid, how much, how manufacturer copay assistance was applied, HSA/FSA vs card vs installment split, abandonment/drop-off points, time-to-payment, refill and adherence engagement events. Small but high-density: ~49 employees, Seed, $1.3M raised, New York. Data value is per-transaction richness (payment tender + copay + adherence) rather than breadth of population. Use cases: Manufacturer patient-access-program effectiveness modeling, copay-card optimization, abandonment/drop-off causal analysis, afforda…
What data does Runontabz offer?
Runontabz offers (Alternative, Sentiment) — Low-single-digit millions of transaction events (est.): each order generates checkout, payment-tender, copay-application, dispensing, refill-reminder and refill-completion events, so event count is a multiple of order count. Funnel rates published (70%+ completion, 50% first-hour payment, 54 min average collection, $26 uplift on 30%+ of transactions) indicate a live but early-stage volume base.
What is Runontabz's data used for?
Manufacturer patient-access-program effectiveness modeling, copay-card optimization, abandonment/drop-off causal analysis, affordability and installment-elasticity research, adherence/persistence prediction, DTC pharmacy funnel benchmarking, fraud and copay-abuse detection training
How is Runontabz's data delivered?
The data is with 3 years of history.
What does Runontabz cover?
Coverage spans US; Health Care Technology; alternative, sentiment; equities.
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