Actionable Insights With AdLift Rx

Campaign Measurement

AdLift Rx is the first media measurement platform combining audience quality and post-campaign impact metrics with deeper, actionable insights. It can analyze the health history, demographics, attitudes, and lifestyle habits of those viewing a media campaign. AdLift Rx can also explain what actions consumers take after campaign exposure, by providing in-platform response curves for ad frequency, and net conversion projections. The product is delivered within an industry leading business intelligence platform for visual, interactive results.

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Why Measure Through AdLift Rx


AdLift Rx was created to provides unrivaled, customizable insights that give marketers the opportunity to view and analyze their campaigns through various stages, answering the key campaign questions of who, what and why.

Who Are You Reaching?

Analyze the health history, demographics, attitudes, and lifestyle habits of qualified consumers viewing your media campaign

What Actions Are They Taking?

In-platform real-time updates provide insights into actions taken by consumers after exposure

Why Are They Responding?

Differentiated insights around why exposed patients took those actions

Benefits of AdLift Rx


Deep Integrated Data Foundations

Built from industry-leading anonymized patient level longitudinal data consisting of adjudicated medical and pharmacy prescription claims, supplemented by Medicx Health’s consumer-level database with over 200 attributes, including demographics, lifestyles, psychographics and media preferences.

Quality Audience and Responder Profiles

Goes beyond metrics reporting, helping to understand who your campaign reaches, and who responds, based on health history, demographics, attitudes, and lifestyle habits.

Striking, Intuitive Visualizations

Delivered within an industry leading business intelligence platform for visual, interactive results.

Key Performance Drivers

Informs you what actions responders take and why your campaign succeeds, to enable ongoing optimization.