Case studies
Case study background
Resonant Analytics helps a Medicare supplemental health insurance provider exceed acquisition goals by 30%.
A Medicare supplemental health insurance provider wanted to grow policies within difficult-to-target marketing segments of Dual Eligible prospects. This program had to be developed and executed quickly to be in market during the Medicare Open Enrollment period. Resonant Analytics developed a list targeting strategy that identified a highly specific target audience using multiple list sources. The population was modeled based on ZIP targeting of the service area footprint, and by utilizing past responder characteristics to identify highly responsive targets within the key segments.
Marketing Program Execution
The marketing program was executed, from creative development through prospect database implementation, within 8 weeks. It launched on time at the start of the Open Enrollment period.
New policy sales exceeded program objectives by 16%, and new policies written for the difficult to reach Dual Eligible prospects exceeded the goal by 30%.
Testimonial
“Working with the Resonant Analytics staff allowed us to better understand our customer base and differentiate between hard core gamers, frequent participant and occasional users so that we could tailor our communications and promotions to each specific audience. This customized communication process allowed us to increase sales on our direct marketing programs by 17% and allowed us to focus our efforts on key segments that would drive the highest return on our programs.”
– MICHI ARTHUR | HEAD OF CUSTOMER STRATEGY AND ANALYTICS, ORIGIN
Targeted vs Holdouts
Model Performance
Case study background
Resonant Analytics helps improve outcomes for specialty drug requests through “patient journey modeling.”
A major pharmaceutical company asked Resonant Analytics to help create a platform and predictive models that would enable data-informed dialogues to improve the pathway for a patient’s specialty service request to the shipment of their drug. Resonant Analytics performed a detailed audit of HUB, Specialty Pharmacy, Patient, Payors, HCP, and Sales data and integrated all this information to create an analytics data platform. Our analysts then developed models to predict the likelihood of a patient becoming canceled during their specialty onboarding process and whether or not their insurance denial appeal would be approved.
Marketing Program Execution
Resonant Analytics delivered the models and a deployment framework for data-driven communications utilizing score based triggers. The Appeal model identifies nearly 90% “Approved Appeals” in the top 3 deciles, and the Cancellation model shows that top 2 deciles contain over 90% final cancellations.
Testimonial
“Resonant Analytics was able to audit and consolidate multiple data sources, then provide analytical expertise to help us drive business strategies on multiple fronts.”
– MICHELE CUNNINGHAM
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