Case Study: Influence Health achieves up to 800% better risk prediction with Presidion

Focusing on The Factors That Really Influence People’s Healthcare Decisions

Influence Health, a healthcare consumer engagement and analytics company, needed more accurate insight into which patients and prospects to target so its clients could improve marketing ROI and deliver more relevant healthcare messaging at scale. Presidion, using IBM SPSS Modeler and IBM SPSS Statistics, helped Influence Health analyze massive patient data sets and build propensity models to predict the services each prospect was most likely to need.

Presidion’s solution enabled Influence Health to run sophisticated models on 195 million patient records across 35 models in less than two days, improving risk identification for over 100 common diseases by up to 800%. As a result, Influence Health’s clients achieved more precise targeting, higher engagement, and return on investment of up to 12:1 on targeted marketing efforts.

Influence Health

Venky Ravirala

Chief Analytics Officer