The following segments are representative of the custom health segments that Swoop builds on behalf of our clients. All audience segments are modeled on the following set of user characteristics: Gender, Age, Income, Education, Marital Status, Presence of Children and Geographic Region.
| Condition | Demographic Characteristics |
| Acid Reflux/GERD | 45-64 > west coast > college > high income |
| Adrenoleukodystrophy | 35-44 > east coast > scandinavian > very light online shopper |
| Alzheimers | female > moderate online shopper > college > high income |
| AML/CLL | male > 35-54 > has children > college |
| Ankylosing Spondilitis | 35-54 > college > married > high income |
| Asthma | male > college > western european > high income |
| Atopic Dermititis | female > southwest > western european > high income |
| Atrial Fibrillation | male > west coast > high income > has children |
| Bipolar Disorder | 45-64 > female > college > western european |
| Birth Control | female > some college > hispanic > low income |
| BPH | male > west coast > high income > moderate shoppers |
| Breast Cancer | 45-54 > female > high income > college |
| Cardiovascular Disease | 35-74 > no children > west - southwest > high income |
| Cataracts + No Cataract Surgery | female > northeast > college > married |
| Chronic Fatigue | 45-74 > female > west - southwest > western european |
| Constipation | scandinavian > single > middle income > very light online shopper |
| Contact Lenses | female > east coast > high school > single |
| COPD | 35-74 > married > high income > heavy online shopper |
| Crohns | high school > middle income > has children > moderate online shopper |
| Cystic Fibrosis | 25-54 > southeast > middle income |
| Depression | female > west - southwest > high income > has children |
| Diabetes | 35-54 > female > high school > low income |
| DryEye | 45-54 > female > western european > has children |
| Eczema | 45-64 > male > hispanic > married |
| Endometriosis | 45-54 > female > married > high income |
| Epilepsy | high income > 35-64 > married > has children |
| Fibromayalgia | west - southwest > college > western european > moderate online shopper |
| Gastric Cancer | middle america > high school > middle income |
| Gout | 45-64 > high income > has children > moderate shoppers |
| Head and Neck Cancer | female > college > married > moderate online shopper |
| Heart Attack | 35-54 > female > college > middle income |
| Heart Disease | 45-64 > male > college > married |
| Hemophilia A & B | asian > high school > single > has children |
| Hep A | 35-64 > high school > scandinavian > very light online shopper |
| Hep B | female > high school > very light online shopper > scandinavian |
| Hep C | male > 45-54 > married > high income |
| High Cholesterol | 45-64 > married > high - low income > heavy online shopper |
| Hindranditis Suprativa | 25-54 > west - southwest > college > high income |
| HIV | 45-64 > male > college > has children |
| Huntingtons Disease | 35-44 > some college > scandinavian > single |
| Hypertension | female > college > high income > has children |
| Hypothyroidism | male > college > married > moderate online shopper |
| IBS | 45-54 > college > no children > heavy online shopper |
| IBS-C | west coast > hispanic > single > middle income |
| IBS-D | college > western european > married > moderate online shopper |
| Insomnia | female > western european > high income > moderate online shopper |
| Low T | male > southwest > married > middle income |
| Migraine | female > college > high income > children present |
| MS | male > college > no children > moderate online shopper |
| MSI-H | middle america > high school > high income > married |
| Multiple Myeloma | 45-64 > female > west coast > college |
| Multiple Sclerosis | 45-54 > moderate online shopper > high income > college |
| Narcolepsy | 25-74 > male > western european > moderate online shopper |
| Non-small Cell Lung Cancer | college > western eruopean > has children > light online shopper |
| Obesity | 35-64 > female > some college > high income |
| Opiate Dependence | 45-54 > west - southwest > college > moderate online shopper |
| Osteoarthritis | 45-74 > female > married > high income |
| Osteoporosis | female > east- northeast > hispanic > married |
| Parkinsons | 45-54 > male > west coast > college |
| Prostate Cancer | male > 45-54 > western european > moderate online shopper |
| Psoriasis | married > high income > no children > light online shopper |
| Psoriatic Arthritis | middle america > married > middle income |
| Rheumatoid Arthritis | 45-54 > college > high income > heavy online shopper |
| Schizophrenia | male > hispanic > high income > has children |
| Sciatica | 35-54 > college > western european > has children |
| Skin Cancer | 45-64 > northeast - southeast > single > heavy online shopper |
| Type 1 Diabetes | 45-64 > female > no children > heavy online shopper |
| Type 1 Narcolepsy | 35-64 > east coast > has children > mid-high income |
| Type 2 Diabetes | female > college > low income > moderate online shopper |
| Type 2 Narcolepsy | female > 35-64 > western european > married |
| Ulcerative Colitis | 35-54 > middle america > high income |
| Urea Cycle | 35-64 > college > married > high income |
| Uro Cancer | 35-54 > hispanic > high income > has children |
| Uveitis | middle america > Hispanic > single |
Driving optimal patient outcomes through RWD-based and AI-generated digital audiences for the pharmaceutical industry.