Batti Jalao

An IVF patient doesn't call your clinic on day one. She googles — or asks an LLM like ChatGPT or Gemini — ‘Why am I not getting pregnant after trying for 2 years?’ on a Tuesday night at 11:30 PM, alone, scared and not ready to tell anyone. Over the next several weeks, she reads everything. Success rates. Doctor credentials. Real patient stories. Cost breakdowns. She compares 4 to 6 clinics and checks reviews, sometimes twice. She watches your doctor's YouTube videos at 1 AM a

Let's start with a number that should keep every health-tech founder up at night, 80%. That's the failure rate of HealthTech startups globally. In India, some estimates push it closer to 90%. Now here's the part that doesn't get talked about enough ‚ the majority of these companies didn't fail because the technology was bad. They failed because they couldn't get the right people to pay attention at the right time. In other words, they had a marketing problem disguised as a

Your hospital's next 500 patients are already searching. Right now — on Google, on Maps, on YouTube, and yes, at 11 PM on a Tuesday. The real question is: can your marketing team use AI to see them before your competitor does? Here's what we keep noticing when hospital CEOs walk us through their marketing dashboards. They track impressions, clicks, and maybe cost-per-click if the agency remembered to report it. But none of that tells you whether a real patient is about to wal