A global biopharmaceutical company needed to drive awareness and referral activity for a priority clinical program across roughly 17,000 doctors and 14 geo-fenced recruitment sites — where about 80% of trials are delayed by recruitment and every day of delay can cost sponsors up to $8 million. Multiple vendors had supported the effort, but outreach stayed fragmented, insights were thin, and site-level execution was hard to scale. Using Multiplier AI’s AI Campaign Ops engine — combining agentic data operations, omnichannel engagement, and insight-led optimization — the company unified HCP and site-level signals into a single operating layer compatible with Veeva and Salesforce. The result was coordinated outreach across ~17,000 HCPs, digital recruitment support across all 14 sites, stronger campaign visibility, and roughly 50% higher HCP response.
The company was running a high-priority clinical program that depended on two things: making roughly 17,000 doctors aware of it, and driving patient recruitment across 14 geo-fenced sites. Both are hard — and the economics are unforgiving. Recruitment is the single biggest cause of trial delays, around 80% of trials slip their enrollment timelines, and each day of delay can cost a sponsor between $600,000 and $8 million.
- Fragmented execution — multiple vendors ran different pieces (email, social, field, web, site recruitment), with no unified operating model tying them together.
- Limited insight — the company couldn’t see which doctors, channels, or sites were actually driving awareness and referrals.
- Hard to scale at the site level — coordinating location-based recruitment across 14 sites manually was slow and inconsistent.
- Awareness ≠ action — reaching doctors wasn’t enough; the program needed referrals and patient recruitment, not just impressions.
Across ~17,000 doctors and 14 sites, fragmented, low-visibility campaign execution put the program’s timeline — and its cost — at risk.
Multiplier AI built an AI Campaign Ops engine — an operating layer that unifies data, engagement, and optimization across the entire program, rather than stitching vendors together after the fact.
Four capabilities did the work:
- Agentic data operations — continuously unified and refreshed HCP and site-level signals into a single, reliable view across all 17,000 doctors and 14 sites.
- Omnichannel engagement — coordinated awareness and referral generation across email, social, field, and digital, so every channel worked from the same plan.
- Location-based digital recruitment — enabled geo-fenced, site-level patient recruitment across all 14 sites from one system.
- Insight-led optimization — measured what was driving awareness, referrals, and response, and reallocated effort in near real time.
The engine was enterprise-ready and compatible with ecosystems such as Veeva and Salesforce, and it built on the same foundations as Multiplier AI’s GenAI Doctor Data Platform and hyper-personalized content — turning a fragmented, multi-vendor effort into a single, measurable operating layer.
The program moved from fragmented activity to coordinated, measurable execution.
- Coordinated outreach across ~17,000 HCPs — one plan, every channel, instead of disconnected vendor campaigns.
- Digital recruitment across all 14 sites — location-based recruitment scaled consistently, site by site.
- ~50% higher HCP response rate — relevant, well-coordinated engagement lifted how doctors responded.
- Stronger campaign visibility — leadership could finally see what was working across doctors, channels, and sites.
- A scalable operating foundation — one enterprise-ready layer the company can reuse for future HCP engagement programs.
By replacing many vendors with one operating layer, the company didn’t just run a campaign — it built a repeatable engine for HCP awareness and patient recruitment.
Why Clinical Programs Stall on Recruitment
Clinical programs rarely fail for lack of science — they fail for lack of patients. Slow recruitment is the single biggest cause of trial delays, accounting for up to 30% of the timeline. Around 80% of trials miss their enrollment deadlines, 37% of sites under-enroll, and 11% never enroll a single patient. With each day of delay costing sponsors $600,000 to $8 million, the awareness-and-recruitment campaign around a program isn’t marketing overhead — it’s a critical path.
The Real Problem Wasn’t Effort — It Was Fragmentation
The company wasn’t short on activity. It had multiple vendors running email, social, field, web, and site-level recruitment. The problem was that none of it was connected: signals lived in silos, channels didn’t share a plan, and no one could see the program end to end. Effort without a unified operating layer produces motion, not momentum.
One Operating Layer Across 17,000 Doctors and 14 Sites
Multiplier AI’s AI Campaign Ops engine unified the program into a single layer: agentic data operations created one reliable view of every doctor and site; omnichannel engagement coordinated awareness and referral generation across email, digital, and field; location-based recruitment scaled across all 14 sites; and insight-led optimization reallocated effort in near real time. Because it is compatible with ecosystems such as Veeva and Salesforce, it strengthened the existing stack instead of replacing it.
The Results at a Glance
Unifying data, channels, and sites turned scattered activity into a coordinated, measurable program — and a foundation the company can reuse.
An Agentic Operating Layer for Pharma — Why Multiplier AI
This is the difference between buying tools and gaining a capability. Multiplier AI runs Data Operations, Competitive Intelligence, Next Best Action, and omnichannel engagement as agentic AI for pharma commercial teams — privately deployed, healthcare-only, and compliant by design under DPDP and UCPMP. Teams typically see measurable results within 30 to 60 days. Explore other Multiplier AI case studies.
“We had plenty of vendors and not enough visibility. One operating layer changed that — 17,000 doctors, 14 sites, one plan we could actually measure.”
Recruitment is the bottleneck — ~80% of trials are delayed by it, and delays cost up to $8M a day.
Fragmentation is the hidden tax — many vendors without a unified layer means low visibility and inconsistent execution.
Awareness must convert to action — the goal is referrals and recruitment, not impressions.
One operating layer scales — unifying data, channels, and sites lifted HCP response ~50% and created a reusable engine.
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