Audience Segments

UNTU’s audiences are scaled using fully-permissioned seed data and modeled using over 3,600 different demographic and behavioral attributes.* We regularly update the chart below to share the top predictive factors used to create each scaled audience segment.

Download our complete list of patient and HCP audience segments available for scaling and activation here.

Audience SegmentTop Predictive Factors
Acid Reflux / GERDView Top Predictive Factors
Consume Alcoholic Beverages (Regularly) View Top Predictive Factors
Arrhythmia / Atrial Fibrillation (AFIB) View Top Predictive Factors
ArthritisView Top Predictive Factors
Congestive / Chronic Heart Failure (CHF) View Top Predictive Factors
Coronary Artery Disease(CAD) View Top Predictive Factors
Crohn's Disease View Top Predictive Factors
Diabetes - Oral Medications View Top Predictive Factors
Diabetes (Type I or II) View Top Predictive Factors
Diabetes Short-Acting Insulin View Top Predictive Factors
Dry Eyes View Top Predictive Factors
Heart Conditions View Top Predictive Factors
Heart Disease View Top Predictive Factors
High Cholesterol View Top Predictive Factors
Hypertension/HBP View Top Predictive Factors
Irritable Bowel Syndrome (IBS) View Top Predictive Factors
Macular Degeneration View Top Predictive Factors
Multiple Sclerosis View Top Predictive Factors
MyocardialInfarction (Heart Attack) View Top Predictive Factors
ObesityView Top Predictive Factors
OsteoarthritisView Top Predictive Factors
PsoriasisView Top Predictive Factors
Psoriatic Arthritis View Top Predictive Factors
Pulmonary Hypertension View Top Predictive Factors
Rheumatoid Arthritis View Top Predictive Factors
Smoker Cessation View Top Predictive Factors
Smoker / Tobacco User View Top Predictive Factors
StrokeView Top Predictive Factors
Type 1 Diabetes View Top Predictive Factors
Type 2 Diabetes View Top Predictive Factors
Ulcerative Colitis View Top Predictive Factors

* Sensitive segments are scaled using only demographic attributes.