## The challenges facing publishers & platforms in healthcare

#### 01

Over-reliance on third-party data providers leaves publishers and platforms with no differentiation, no optimization capabilities, and no control over performance and outcomes.

#### 02

Audiences are typically planned on the buy side and “matched” to publisher and platform footprints, resulting in variable performance, reduced scale, no visibility into audience quality, and no ability to optimize.

#### 03

Legal risk and complexity in using proprietary data for healthcare often leaves publishers and platforms without a compliant solution that can run nationwide.

## How BranchLab helps publishers and platforms

BranchLab reimagines audiences for healthcare with deep learning models that predict health outcomes using demographic data for activation, delivered through an AI platform for speed, efficiency, and control.

### Performance

Our AI models deployed in demographic data produce market-leading audience quality, validated by independent measurement providers.

### In-Source

### Speed

### Proprietary Audiences

## Common use cases for publishers and platforms

#### High-Performing, Outcome-Based Activation

Activate AI audiences predictive of diagnoses, prescriptions, procedures, and healthcare visits, driving measurable results across all channels.

#### AI-Driven Audience Strategy & Planning

Empower internal teams to design and manage audiences for faster, more coordinated decision-making across clients, strategy, activation and measurement.

#### Integrated Measurement of Real-World Impact

Quantify the true effect of commercialization efforts using outcome-based metrics to support continuous optimization and ROI.