Custom patient targeting

Build condition-specific healthcare audiences with privacy-safe predictive modeling.

What it is

Custom Patient Targeting enables marketers to reach the right patients in a privacy-safe, compliant way. It uses medical claims data and patient search behavior to build a custom, condition-specific predictive model.

Rather than relying on broad health segments, Dstillery identifies relevant impressions through confirmed diagnoses and patient-journey search behavior. The model uses 40+ billion medical and pharmacy claims covering 330+ million patient lives and 98% of payer data. This depth supports precise, condition-specific models across virtually any indication.

Why it's different

Before

Healthcare marketers often rely on the same claims data sets. Broad health segments identify a condition but lack visibility into diagnosis, research, or treatment stage.

After

Dstillery layers patient search behavior on top of medical claims data. The result is a model built for one condition, not a generic health category.

How it works

1

Define condition signals

Medical claims data and patient search behavior seed the model for a specific condition.

2

Build the model

Dstillery's AI builds a predictive model from these signals.

3

Find relevant impressions

The model identifies impressions likely to reach relevant patients across channels.

4

Activate across channels

Your audience activates across display, video, CTV, and mobile. The model is delivered to your DSP within 24 to 48 hours.

Key benefits

• Reaches patients based on their journey stage, not only a broad health segment.

• Designed for privacy from the start, with no reliance on PII.

• Activates across display, video, CTV, and mobile.

Good fit if you

• Are a healthcare or pharma marketer running a condition-specific campaign, such as diabetes, oncology, or a rare disease.

• Need HIPAA-compliant targeting without building your own data infrastructure.

• Are frustrated with generic health segments that do not reflect where a patient is in their journey.

• Need to launch quickly, without standing up a multi-month custom data program.

Pricing

See Pricing for current rates.