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Case Studies

Predictive Modeling Saved Healthcare Insurance Brand $600k in One Campaign

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Overview

A healthcare insurance provider wanted to reduce overall marketing spending while maintaining enrollment rates. The organization needed a more efficient way to identify high-probability prospects and improve campaign performance without increasing investment.

The Challenge

A healthcare insurance provider needed to reduce marketing expenditures without impacting specific KPIs, such as enrollment rates. The organization needed a more efficient and data-driven approach to targeting prospects in order to improve campaign effectiveness without increasing spend or compromising acquisition outcomes.

Our Approach

Qualfon developed a predictive modeling solution that leveraged demographic, income, and home value data to identify high-propensity prospects. We supported the strategy with targeted Lead Generation and Age-In campaigns, incorporating personalized offers and variable messaging throughout direct mail communications to improve response rates and enrollment performance.

Results

  • Dealer Participation: Achieved a strong engagement rate with 90% dealer participation.
  • Production Volume: Successfully generated a high scale of outreach, producing 20 million marketing pieces annually.
  • Sales Growth: Delivered a significant boost in revenue performance, moving from a 0.5% to a 7% incremental sales lift.

About Qualfon

Qualfon is a global provider of omnichannel customer experience and business support solutions. From call center support to lead generation to ecommerce fulfillment, we support our clients and their customers throughout the customer journey.

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