Drive value, not volume
Real-time propensity modeling transmits a predicted customer value at the moment of form submission, giving the platform the signal it needs to optimize for value not volume.
Wheelhouse RPM™
The conventional approach to patient acquisition campaign optimization is to optimize for form submission. But form submissions and online appointment bookings don’t generate revenue – kept appointments and completed procedures do. Real-time propensity modeling enables healthcare providers to use their institutional data to generate a revenue-based propensity score every time a form is submitted – and to send that score to ad platforms, continuously optimizing campaigns in real time.
Results from a single Wheelhouse real-time propensity modeling implementation for a high-growth MedTech client.
How it works
Most propensity models work in batches. A vendor builds an audience segment from demographic and behavioral signals, refreshes it every 30 to 90 days, and delivers a target audience. That is useful. But it operates at the population level, and it tells your ad platform nothing about the individual leads already arriving in your funnel.
A real-time propensity model works differently. The moment a prospect submits a form on your website, the model calculates their likelihood of converting and potential value as a patient, based on your historical outcomes and not industry averages, and transmits that predicted value to ad platforms in real time. Your campaigns are optimized continuously.
| Capability | Wheelhouse RPM™ | Batch Models |
|---|---|---|
| Scoring unit | Individual lead | Audience segment |
| Refresh cycle | Every form submission | 30 to 90 days |
| Signal destination | Ad platform optimization engine | Targeting audience |
| Training data | Your confirmed CRM outcomes | Third-party claims, proxies |
| Conversion lag | Fully solved at submission | Partially addressed |
| Privacy architecture | Built into the data flow | Compliance managed around |
Why it matters
Real-time propensity modeling transmits a predicted customer value at the moment of form submission, giving the platform the signal it needs to optimize for value not volume.
The scoring engine lives inside your HIPAA-compliant environment. What reaches ad platforms is a single numerical value. No health information crosses that line. Compliance and performance are the same mechanism.
Who it’s right for
Your conversion cycle is measured in months. Your conversion signal is lead generation but there is a significant disconnect between lead and revenue generation.
Low cost-per-lead is not a success metric if prospects do not convert. Real-time propensity modeling redirects the algorithm toward valuable patients.
You cannot share patient data. You can share a propensity score. The model lives inside your HIPAA-compliant environment. What is shared with ad platforms is a single numerical value with no health information and no compliance exposure.
If you have 12 or more months of prospect-to-patient data, you have a training set. That historical signal is the raw material that can be used to create a propensity model.
Try it yourself
Walk through the structure, logic, and output of a real-time propensity scoring system, using a synthetic healthcare dataset or your own data if you have it.
Let’s talk
Our team will walk you through what an implementation looks like for your funnel, your CRM history, and your compliance environment. No sales pressure, just a real conversation about whether this is the right capability for your business.