AI Channel Mix and ROI Modelling for Healthcare Media Planners

## The problemMedia planners at a specialist agency spend days pulling fragmented audience data, building channel mix models in spreadsheets, and defending allocation decisions to skeptical brand clients without a clean number to point at. Multi-day analysis cycles get in the way of the conversation that actually matters.## What this app doesA segment-aware channel mix and ROI engine. A planner picks an audience segment — by specialty, disease area, or geography — and sees a unified profile of historical engagement across channels. Inputs for spend, channel weights, and awareness target return a projected ROI with the assumptions visible. The recommendation engine surfaces the top-performing channels for that segment, flags where historical data is thin, and supports side-by-side scenario comparison.## Key takeaways- Channel mix recommendations grounded in historical campaign data- ROI projections returned in under a minute per scenario- Highest-engagement channel per segment surfaced proactively- One interface replaces fragmented systems and manual modelling## Who it's forMedia planners, audience strategists, and brand marketing leaders at healthcare, pharma, and specialty advertising agencies.