
The Fractional CMO Guide for Life Sciences Growth
Many life sciences startups struggle to gain traction because they skip foundational steps like ICP definition, buyer insight, and structured GTM planning.
Rebound
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Meridith Rohrbaugh is the Founder and CEO of Rebound, a marketing acceleration firm for life sciences and health tech companies. With more than 20 years of experience in B2B growth, marketing strategy, and health innovation, she helps CEOs and commercial leaders build scalable go-to-market engines without unnecessary complexity or overhead.
Since founding Rebound in 2015, Meridith has developed a purpose-built model for regulated, B2B life sciences SaaS and health tech, embedding expert-led teams that deliver aligned, measurable results across brand, digital, product, operations, and content marketing. Her leadership and Rebound’s proprietary Marketing Acceleration Maturity Assessment give clients a clear roadmap to scale, de-risk execution, and accelerate revenue readiness.
Meridith’s work has earned recognition from the Philadelphia Business Journal 40 Under 40, the Chamber of Commerce’s Emerging Business of the Year, and the Inc. 5000 list. She is known for her ability to quickly diagnose commercial gaps, translate strategy into action, and help high-growth companies gain traction faster.

Many life sciences startups struggle to gain traction because they skip foundational steps like ICP definition, buyer insight, and structured GTM planning.

A fractional CMO helps early-stage teams level up their marketing by adding senior leadership, stronger positioning, and the structure needed for predictable growth.

Many life sciences startups struggle to gain traction because they skip foundational steps like ICP definition, buyer insight, and structured GTM planning.

Early-stage life sciences and health tech companies cannot afford slow marketing cycles and need real movement in their first 90 days.

Marketing in the life sciences technology sector is constantly evolving, fueled by innovations in Artificial Intelligence (AI), Software as a Service (SaaS) technology, data and analytics.

Rapidly growing life sciences technology, data, and analytics startups face different challenges as they expand.
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