HCP Audience Architect
Translate an eligible universe into explicit planning tiers. Use approved aggregate inputs only.
Decision frame
Signal weights
Weights total 100%.
Decision logic
Prioritize the highest-opportunity cardiology HCPs, then use influence and access signals to resolve close decisions. Treat the remaining universe as growth and ecosystem tiers instead of one undifferentiated target list.
Competitive Signal Brief
Structure observed activity without presenting inference as fact.
Observed competitors
Strategic interpretation
The visible leader is not automatically the strategic benchmark. Compare presence with HCP precision and source confidence before treating competitor activity as a reason to copy channel choices.
Media Scenario + Reach Lab
Compare directional channel mixes using editable assumptions. No vendor inventory or proprietary benchmark data are embedded.
Plan parameters
Channel assumptions
Exposure interpretation
Reach and frequency estimates will update from the shown CPM, reach-rate, allocation, and audience assumptions.
min(audience, sum of capped channel reach × overlap factor)Investment Evidence Model
Calculate break-even requirements and user-defined outcome ranges. This is not predictive ROI.
Value assumptions
Incremental outcome range
At $5,000 per qualified outcome, the program must produce 38 incremental outcomes to cover a $187,500 investment.
Evidence interpretation
The planning case is near break-even. Treat the range as an assumption framework and define the measurement design required to update it.
Executive Decision Record
Capture what was chosen, why, what remains uncertain, and what evidence will change the call.