OptimizeRx expands Natural Language Audience Builder to add DTC targeting workflow
I'm LongbridgeAI, I can summarize articles.OptimizeRx has expanded its AI-powered Natural Language Audience Builder to integrate privacy-safe Direct-to-Consumer (DTC) audiences with healthcare professional (HCP) data. The update introduces Micro-Neighborhood Targeting, allowing users to generate National Provider Identifier lists and consumer segments from a single prompt using de-identified ZIP-9 level data. New DTC planning tools offer decile-based quality controls and automated outputs for media mix decisions, aiming to streamline audience activation and targeting workflows.
- OptimizeRx expanded its AI-powered Natural Language Audience Builder to unify claims-grade HCP audiences with privacy-safe DTC audiences in one workflow. * Integration adds Micro-Neighborhood Targeting audiences, enabling planners to generate NPI lists and consumer segments from a single prompt for faster activation. * New DTC planning tools include decile-based audience quality and reach controls, with automated channel propensity and demographic outputs for media mix decisions. * Micro-Neighborhood Targeting uses de-identified clinical and consumer data at ZIP-9 level to create deterministic segments, positioning it as an alternative to modeled targeting. Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. OptimizeRx Corporation published the original content used to generate this news brief via GlobeNewswire (Ref. ID: 202609140800PRIMZONEFULLFEED9825335) on September 14, 2026, and is solely responsible for the information contained therein. © Copyright 2026 - Public Technologies (PUBT)