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Pharma social listening & patient insight

Practical guides for insight teams and agencies — methodology, buying questions, and where IndicationIQ fits.

30 July 2026 · 7 min read
HCP social listening for launch and medical communications
How to use professional-capacity commentary in launch-window evidence packs — two-tier visibility, deliverable expectations, and what not to build.
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30 July 2026 · 7 min read
Indication-specific social listening: why therapy-area scope beats brand keywords
Campaign-first listening misses launch and support decisions. How keyword scoping, frequency within one indication, and project phase shape useful evidence.
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30 July 2026 · 7 min read
GDPR, anonymisation, and delivering verbatim evidence to pharma clients
Public conversation is personal data. How processor vs controller roles, export anonymisation, erasure, and process-vs-surface rules make pharma social listening defensible — not crippled.
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30 July 2026 · 8 min read
Building a patient support programme from public conversation evidence
Why support programmes fail without patient language evidence, how ranked unmet needs shape a brief, and what to export when compliance review is non-negotiable.
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30 July 2026 · 1 min read
What to ask vendors who sell pharma social listening
A buyer checklist for pharma and agency teams evaluating social listening and patient insight vendors — beyond the demo script.
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30 July 2026 · 2 min read
How to extract named unmet needs from public conversation
A method for turning Reddit, X, and forum posts into ranked, indication-specific unmet needs with verbatim evidence.
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30 July 2026 · 1 min read
Social listening vs patient insight platforms for pharma
How brand listening tools differ from indication-depth patient insight platforms — and when you need both.
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30 July 2026 · 3 min read
Pharma social listening: what it is, what it isn’t, and what insight teams actually need
A practical guide to pharma social listening — AE monitoring vs patient insight, where generic tools fall short, and how indication-scoped evidence should work.
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