Meet Dr. Sara Kim: Sales Coach in Pharma Startups
Dr. Sara Kim has spent over a decade bridging sales and data in pharmaceuticals, especially in early-stage health-supplements startups. She’s coached dozens of entry-level sales reps on how to gather evidence, listen to customers, and shape their sales strategies—before revenue even hits the books.
Q1: Sara, what exactly is “continuous discovery,” and why should a new pharma sales rep care about it before making any sales?
Sara: Continuous discovery means you’re always learning about your customer’s real needs, challenges, and behaviors—not just once at the start but regularly. In pre-revenue pharma startups, especially health supplements, you don’t have decades of sales history or market dominance to rely on. You have to test your assumptions constantly.
For entry-level reps, that means looking beyond your pitch deck to what data and customer feedback say. It’s about collecting small pieces of evidence every day to adjust your approach. If you wait to start learning until after you’ve “closed” a deal or missed a quota, it’s too late to pivot.
Q2: How does a sales rep practically build these habits on the ground? What’s a simple routine?
Sara: I like to break it down into three steps: listening, measuring, and iterating.
Listening: Start with qualitative data. Use conversations, surveys, or even quick polls to gather insight. Tools like Zigpoll or SurveyMonkey are easy to set up. For example, ask a health practitioner why they might hesitate to recommend a new supplement. You’re looking for specific pain points, not just “I don’t know.”
Measuring: Next, track data on what works and what doesn’t. This could be email open rates, demo requests, or responses to different messages. For instance, a 2023 Pharma Analytics report showed that startups that A/B tested their sales emails improved response rates by 35%. The key is consistent tracking.
Iterating: Use what you learn to tweak your messaging or approach every week or two. You might find that a certain phrase resonates better, or a particular objection comes up frequently. Don’t ignore this feedback—it’s your best source for refining your pitch.
Q3: Can you share an example of a startup applying these habits successfully?
Sara: Absolutely. One health-supplement startup I worked with started with a 2% conversion rate from cold emails to meetings in Q1 2023. They made continuous discovery part of every rep's daily routine.
They set up short weekly surveys using Zigpoll to ask prospects what held them back: price, ingredients, or trustworthiness. Turns out, 60% cited concerns about ingredient sourcing. The sales team then adjusted their pitch to focus on supply chain transparency and added concrete sourcing data into their presentations.
By Q3, conversion jumped to 11%. That’s a nearly sixfold increase, just by listening, measuring, and iterating with data, not guessing or pushing harder.
Q4: What kind of data should entry-level reps prioritize collecting early on?
Sara: Start with three kinds:
Customer feedback data (qualitative): Their language, hesitations, needs. Use quick surveys (Zigpoll, Typeform) or informal discovery calls.
Engagement data (quantitative): Email opens, link clicks, meeting requests. These show which messages get attention.
Outcome data: What happens after a meeting? Did they request samples? Ask for more info? Purchase eventually?
Here’s a simple table to clarify:
| Data Type | Tools/Methods | Why It Matters |
|---|---|---|
| Customer Feedback | Zigpoll, calls, surveys | Understand objections and priorities |
| Engagement Metrics | CRM tracking, email stats | Identify what messaging works |
| Outcome Tracking | CRM updates, sales records | Connect activity to results |
Q5: Are there pitfalls or common mistakes new reps make with data-driven discovery?
Sara: Plenty. One big trap is collecting data but never acting on it. It’s like gathering feedback and just filing it away. You have to adjust your approach based on what you learn.
Also, don’t get overwhelmed trying to collect every metric. Focus on a few that tie directly to your sales goals. Over-tracking can waste time or cause analysis paralysis.
Another gotcha is confirmation bias—listening only to data or feedback that supports your existing beliefs. Be honest with yourself and your team about what the numbers say, even if it’s uncomfortable.
Q6: How do you balance quantitative data with gut feeling or experience, especially when starting out?
Sara: Good question. Early in your career, you might rely more on your intuition, especially since you don’t have years of experience. But data should act as a safety net.
Think of your gut feeling as a hypothesis. Then use data to test it. For example, you might feel a certain health practitioner segment is most promising. Test this by tracking engagement and meeting outcomes from that group.
If the data contradicts your feeling, dig deeper rather than dismiss it right away. Sometimes your gut is spot on, but often data uncovers hidden realities.
Q7: What’s a quick way to start experimenting with your sales approach using data?
Sara: Start small. Try A/B testing one variable in your outreach. For instance:
Send half your prospects Email A, focusing on product benefits.
Send the other half Email B, focusing on addressing common pain points (like digestion issues for a probiotic).
Track open rates, replies, and meetings set. Even with a modest list of 50–100, you can identify which approach works better.
This kind of experimentation builds the habit of continuous discovery and makes you less reliant on gut feeling alone.
Q8: In pharmaceuticals, compliance is key. How do you gather customer data without stepping over legal lines?
Sara: Great point. Always ensure your survey or outreach complies with HIPAA, GDPR, or local rules depending on your market.
For health-supplement sales, avoid collecting sensitive personal health data unless you have explicit consent. Focus on professional opinions, preferences, and business needs.
When using tools like Zigpoll, check their compliance features. Also, make it clear how you’ll use the information, and keep data anonymous whenever possible.
Q9: What role does collaboration play in continuous discovery habits?
Sara: A huge one. Sales reps shouldn’t operate in silos. Share your findings regularly with marketing, product, and compliance teams.
For example, if you hear a recurring objection about ingredient sourcing, product managers can adjust formulations or transparency. Marketing can craft better collateral.
In one startup, weekly “discovery huddles” where sales shared data points led to a 20% improvement in customer satisfaction scores within 6 months.
Q10: If you could give entry-level pharma sales reps one piece of advice about using data for continuous discovery, what would it be?
Sara: Don’t wait until you have perfect data or a finished product to start listening. Begin early, use simple tools to collect feedback, and make small changes often.
Remember: your job is not just to sell, but to understand. Ask questions, track what works, and keep adjusting. Data is your ally, not just numbers on a screen but stories that guide your next move.
Wrapping Up with Actionable Steps
If you’re just getting started:
Set up a weekly routine: one discovery call, one quick survey (Zigpoll is beginner-friendly), and track one or two engagement metrics.
Experiment with messaging—try small A/B tests in emails.
Record your learnings in a shared document or CRM to build team knowledge.
Share insights weekly, ask peers what they’re hearing.
By weaving these habits into your daily sales rhythm, you’ll build a data-driven mindset that accelerates your success—even in the uncertain world of pre-revenue pharmaceuticals startups.
