GLP-1 Digest Podcast
The economics of DTC GLP-1 care are getting harder. Customer acquisition costs keeps rising, price is getting pushed down, and more patients are willing to switch provider for the cheapest pen. That leaves DTC companies with the worst possible equation: lower gross profit per month and a customer base full of switchers who may not stay long enough to pay back acquisition. In this episode, I speak with Dr. Paul Sacher about where AI can actually show up on the GLP-1 profit and loss statement. Paul has spent more than two decades in obesity management and has worked across digital-health providers building and evaluating patient-facing AI systems. His team has analysed close to 100,000 support tickets, churn data, and patient interviews, which makes this a practical conversation rather than another abstract debate about healthcare chatbots. Timestamps: 00:00 Why AI in GLP-1 care is not just a chatbot 04:58 Why 24/7 support matters for patients 07:19 Onboarding, side effects, and early churn 12:18 Why app engagement can mislead operators 15:39 Switchers, maintenance, and personalised support 20:00 What providers get wrong when adding AI 37:46 The behavioural data moat in GLP-1 care 48:35 Safety, regulation, and clinical escalation Subscribe to the newsletter: https://www.glp1digest.com/ [https://www.glp1digest.com/]
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