Patient advocacy intelligence
PAG landscape analysis
PAG landscape analysis helps pharmaceutical teams understand who matters in a patient advocacy ecosystem — and why. PatientGroups.co combines discovery, scoring, and monitoring so landscape work becomes patient advocacy intelligence you can reuse, not a one-off slide deck.
What PAG landscape analysis covers
A strong patient advocacy landscape analysis answers more than "which groups exist?" It shows relative influence, patient reach, research involvement, governance quality, geographic footprint, and readiness to partner with industry.
Teams typically need this before launch planning, indication expansion, advisory board design, competitive intelligence on advocacy relationships, or when rebuilding an engagement strategy after years of informal contacts.
Outcomes for medical affairs & patient engagement
Full landscape visibility
See the patient advocacy landscape for an indication or region — including groups that informal desk research usually misses.
Scored comparison, not opinions
Compare PAGs on governance, reach, research, policy influence, and pharma readiness with a transparent scoring model.
Clear engagement priorities
Turn landscape analysis into a ranked shortlist for advisory boards, partnerships, education programs, or trial support.
Defensible diligence
Source audit trails support internal review when medical, legal, or compliance stakeholders ask how you chose partners.
Market and TA comparisons
Contrast advocacy maturity across countries or therapeutic areas to inform launch sequencing and affiliate planning.
Executive-ready outputs
Generate reports and briefings your patient engagement and medical affairs leadership can act on immediately.
From landscape analysis to partnership decisions
Start in the patient advocacy database, structure the view with patient advocacy group mapping, then use landscape analysis to score, compare, and brief stakeholders. Read more in PAG landscape analysis for pharma. That is the product: intelligence that moves teams from lists to decisions.