Methods: Geospatial patient demographic data of practice-referrals was collected at two time periods: pre-marketing (12/1/2013-6/30/2014) and post-marketing (7/1/2015-3/31/2017). Potential referring centers with maximum referral-potential were identified and a personalized, targeted, marketing plan was implemented via deployment of consistent and relevant cross-service information. Patient access was improved with implementation of agile referral-logisitics. Post-study, we measured our referrals, and created a new strategic plan for future growth.
Results: Geospatial heat-maps allowed us to achieve four goals: 1)plan effective outreach using specific customized messaging based on powerful insights of physicians' referral behaviors, 2) use timely feedback to effect practice-changes (co-localize multidisciplinary service delivery, speed up patient access by simplifying communication, etc ), 3) establish a function rich, scalable platform for new growth- to support more services that could be marketed to the same customer, 4) track our results. Ultimately, we have shown drastically increased rates of conversion from contact-to-referral-to-surgery. Additionally, new patient referrals increased significantly in Northwestern and Southeastern, Ohio, within specific, targeted markets.
Conclusions: Heat-mapping yields powerful data on customer-behavior, which in turn can guide a coherent practice-strategy, help design a customized marketing plan, and ultimately improve market penetration.