Traditional market segmentation modeling starts with a relatively small number of demographic and lifestyle characteristics. Each consumer is then slotted into the best fitting descriptor. The result is an artificially simplistic view of healthcare consumer groups that creates potential mismatches by forcing a “best fit”. Swoop is changing this by aligning precise patient definitions with social determinants of health.
Determine how healthcare consumer populations cluster by demographics, attitudes, values and beliefs.
Understand how brand promises, messaging and "beyond the pill" factors are perceived by healthcare consumers.
Determine the blend of cross-channel activation channels including Programmatic Advertising, Social Media Marketing, Website Personalization, Search Engine Optimization, Addressable TV, Linear TV and On Demand Audio.
We utilize ML and AI in conjunction with a real world data universe of 65 billion anonymous consumer transactions and over 300 million unique de-identified patients.
Measures the distance from any point in a multi-dimensional space where population clusters form around an attribute.
By not using pre-determined categories, we uncover natural population clusters and then extract commonalities.
By aligning precise patient definitions with social determinants of health, granular behavioral microsegments of your ideal patient population are within reach.