How One Client Booked 28 Meetings in Big Pharma Using AiSDR

Breaking into healthcare, especially big pharma, is extremely difficult for cold outreach.

Decision-makers at companies like Roche, AstraZeneca, Pfizer, and GSK are bombarded with emails daily, if not hourly. And this simple fact plays a role in why reply rates in this space are typically low across the board.

Yet in just two months, AiSDR helped a client book 28 qualified meetings, at an average cost of just $140 per meeting.

For big pharma, that’s almost unheard of.

And here’s how we did it.

TLDR

• The goal: Book meetings with large pharmaceutical companies
• The tactic: Deeply researched emails targeting a precise lead list
• The result: 28 meetings booked in two months

Step #1: Creating a precise lead list

Spray-and-pray outreach doesn’t work for an industry like pharmaceuticals.

This market demands laser-focused targeting. Messages need to reach the right accounts, the right decision-makers, and at the right time.

That’s why we didn’t rely on static lead lists or scraping generic databases. We used AiSDR’s AI-powered lead research engine to build a hyper-targeted lead list from scratch.

Here’s how it worked:

• We configured custom search parameters based on the client’s ideal customer profile
• AiSDR scanned and validated prospects in real time, pulling live data from company websites, LinkedIn, and other sources
• The AI filtered out any leads and accounts that didn’t match the exact criteria

This approach eliminated prospecting guesswork and ensured every email went to someone who could say “yes”.

Step #2: Research and send relevant AI emails

Once the lead list was ready, the next step was setting up the AI to write emails tailored to the customer’s tone and structure.

These weren’t cookie-cutter messages. With the help of AiSDR’s GTM engineers, each email was:

• Custom-researched by AiSDR’s AI, with context pulled in for every lead
• Aligned to the client’s voice and style so that messages were in line with common practice in big pharma
• Focused on solving problems relevant to big pharma

This combination of relevant context and consistent messaging helped emails stand out and drive responses.

Step #3: Automate follow-ups

The secret weapon?

Persistence.

Without extra manual work.

Leads rarely respond to the first email, so each lead was enrolled in a 4-step sequence: the initial email plus three follow-ups.

And AiSDR automated these follow-ups, preventing leads from slipping through any cracks in the funnel. This kept the client top of mind as emails were consistently bumped to the top of the inbox.

Result

Here’s the tally after two months of running these campaigns:

• Total emails sent: 14,423
• Leads engaged: 4,196
• Positive reply rate: 1.41%
• Meetings booked: 28
• Average cost per meeting booked: ~$140

To put that in perspective: In a space like big pharma, where decision-maker access is limited and sales cycles are long, $140 per meeting is almost unheard of.

Even at $1,500 per meeting, it would still be a bargain for the right customers.

This is what’s possible when AI is used strategically and not just as a tool that blasts out emails.

With a precise, custom-built lead list, AI-researched emails tailored to the customer’s style, and meaningful follow-ups, you can break into even the toughest industries.