Agentic marketing intelligence for regulated industries
Connect 1,000+ sources — including HCP platforms other tools don't support — inside a HIPAA-aware intelligence layer that acts, not just reports. No PHI in the pipeline. BAA-eligible. Average deploy: 14 days.
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1,000+ data sourcesAny warehouse or BI tool
Marketing OS/DTC + HCPCOMPLIANT
can i finally see dtc and hcp spend in one model?
one normalized model · no PHI · BAA-eligible
Yes — patient and professional outreach, normalized side by side:
spend model composition · Q3
HCP media44%
DTC paid38%
CRM + email12%
Events6%
harmonized across 1,000+ sources, HCP publishers included
how long until this is live on our data?
Faster than most procurement cycles — paid media, HCP, and CRM included:
14 days
avg deployment · SOC 2 Type II
any taxonomy violations right now?
Two slipped past agency QA — MDG caught both in real time:
Native connectors for Doximity, DeepIntent, Medscape, Phreesia, and Epocrates alongside Google Ads, Meta, DV360, LinkedIn, Salesforce Health Cloud — no custom engineering for specialty publishers.
Unify — HIPAA-aware, BAA-eligible ETL
MDG taxonomy enforcement, consent signal tracking, no PHI storage, SOC 2 Type II certification, and EU data residency — all documentation packages ready for legal team sign-off and procurement timelines.
Privacy-safe marketing mix modeling, anomaly alerts before board-level issues emerge, weekly digest automation per brand or therapeutic area, and a CMO executive view combining DTC and HCP in one model.
Why pharma and biotech teams choose Improvado
Native HCP platform connectors
Pre-built connections to Doximity, Medscape, PulsePoint, DeepIntent, Epocrates, and Phreesia — no custom engineering for specialty sources.
HIPAA-aware architecture
No PHI storage. BAA-eligible processing. Separates marketing signals from health identifiers. EU data residency available on request.
Unified DTC + HCP attribution
Patient and professional outreach combined in a single normalized model — eliminating siloed reporting across DTC and HCP budgets.
Automatic taxonomy enforcement
MDG enforces naming conventions across all teams, agencies, and publishers in real time — no manual audits, no retroactive cleanup.
The difference
Purpose-built for regulated marketing — not adapted from it
Datorama, Fivetran, and Funnel weren't built for HIPAA. In-house engineering spends 40%+ of its time on maintenance. Here's what purpose-built looks like.
Without Improvado
15–25 disconnected sources with no unified schema across HCP and paid media
No native connectors for Doximity, DeepIntent, Medscape, or Phreesia
GA4 lacks BAA — inherited pixels expose PHI risk across the analytics stack
Taxonomy chaos across 15+ platforms destroys cross-channel attribution
3–6 month procurement delays for platforms not built for pharma compliance
With Improvado
1,000+ sources including all major HCP platforms in a single unified model
Native connectors for specialty publishers — no SFTP workarounds required
HIPAA-aware ETL with BAA-eligible processing and full pixel audit trail
MDG taxonomy enforcement across all teams, agencies, and publishers in real time
SOC 2 Type II documentation ready to support pharmaceutical procurement cycles
See HIPAA-aware marketing intelligence with your data
Our pharma team will audit your campaign taxonomy, connect your top 3 sources in 24 hours, and show you a live unified view — no commitment required.
Unifying HCP platforms (Epocrates, DeepIntent, specialty publishers) alongside standard ad channels required 60–150 hours of manual operations each month and had no consistent taxonomy across global teams.
60–150hrecovered monthly from manual operations
Automatictaxonomy enforcement across global teams
UnifiedHCP and paid media in one normalized model
How Improvado helped
Connected Epocrates, DeepIntent, and specialty publishers alongside Google and Meta
Applied MDG taxonomy automatically across all teams and agency partners
Eliminated manual data engineering overhead without additional headcount
A global biotech company
Proven results
Dozens of specialty publisher integrations via SFTP required custom pipelines with zero-error tolerance — consuming most of the data engineering team's available bandwidth.
Zero-errorETL with automated validation at every step
Eliminateddata engineering overhead for SFTP ingestion
Automatednormalization across all specialty publishers
How Improvado helped
Replaced custom SFTP pipelines with pre-built flat file ingestion connectors
Applied automated validation and normalization at every transformation step
Freed data engineering team to focus on analysis rather than pipeline maintenance
HIPAA-aware marketing intelligence, built for regulated industries
No commitment. HIPAA-aware architecture. Average deploy: 14 days.
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