The 51st episode of Bald Ambition features Mookie Spitz sitting down with David Mondgock, founder of Catalyst IQ, to discuss how AI is reshaping pharmaceutical marketing and patient engagement from the ground up. They share a deep dive into how data, content, and automation collide to form a new marketing reality for healthcare.

Key Insights

• From Personalization to Prediction: Why “customer journeys” in pharma have been insufficient—and how Catalyst IQ’s AI-driven signal mapping and content tagging are finally making them real.
• Breaking the Walled Gardens: How pharma can reclaim control of its data from third-party platforms like Doximity, Medscape, and the AMA.
• Next-Best Everything: Forget “Next Best Action.” Mondgock explains “Next Best Content” and “Next Best Experience,” where adaptive, modular content anticipates the HCP or patient before they click.
• AI Optimization ≠ SEO: Mookie coins the new term—AI Optimization—the next-gen equivalent of SEO for a world where bots, not spiders, decide what gets seen.
• Ethics and Oversight: Why human governance remains the thin line between innovation and chaos—and why Mondgock doesn’t believe in fully autonomous AI.
• The Coming Ad Collapse: How today’s banner ads and metrics will look Yahoo.com 1998 once “token prioritization” replaces clicks and impressions.

Key Takewawys

• Pharma’s data problem isn’t access—it’s alignment.
• AI in content creation isn’t about replacement—it’s about relevance.
• Human oversight is the new regulatory compliance frontier.
• The marketing war won’t be fought on Google—it’ll be fought in the prompts of ChatGPT, Claude, and Perplexity.

If you’re a pharma marketer, healthcare strategist, or AI skeptic trying to make sense of this new digital order, this episode is your roadmap—and your reality check.

About David Mondgock

I founded Catalyst IQ because I saw a critical gap in global pharma where omnichannel failed to translate into measurable business impact.  My mission is to cut through the complexity and focus sales and marketing on patient and HCP outcomes.  My team and I don’t just consult; we build and deploy a practical, end-to-end AI stack purpose-built for the life sciences ecosystem. This stack is designed for orchestration, seamlessly generating explainable, MLR-ready propensity models and micro-segments that feed directly into dynamic content sequencing.

About Catalyst IQ

Catalyst IQ helps global pharma convert AI-driven omnichannel into business impact improving relevant HCP and Patient journeys, faster access, and measurable growth without compromising compliance. We align commercial, medical, and market access teams around outcomes, not algorithms.

We stand up a practical AI stack including propensity models and micro-segments that inform next-best-action, with dynamic content sequencing across email, rep-triggered flows, CLM/remote detailing, portals, and patient services. The stack plugs into Veeva and SFMC, with Snowflake/Databricks/Looker for unified data. Consent and privacy-by-design are embedded (HIPAA/GDPR), and models are explainable for MLR. We operate with rigorous experimentation and transparent measurement so wins scale quickly. Selected engagements include: Merck, Novo Nordisk, Takeda, Biogen, Pfizer, AbbVie, Amgen. 

www.ciq-enterprise.com

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