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Case study 2 · Healthcare
Finding where a diagnostic health startup’s growth engine was stuck
How an AI-driven “Campaign Architect” helped a direct-to-consumer health startup design, test and launch lead acquisition campaigns in days instead of weeks.
1,400direct-to-consumer customers on the startup’s program
3 daysfrom idea to launch of an acquisition campaign, down from 4–6 weeks
4+campaigns launched in parallel, accelerating learning, up from one at a time
Results from 2026.
The challenge
Growth depended on the founders’ network
A diagnostic health startup sells its digital diabetes-reversal program direct to consumers. It had no way to test messaging and generate leads at speed, and predictably, beyond the founders’ network.
- Slow to launchEach acquisition campaign took 4–6 weeks to go from idea to launch.
- One test at a timeCampaigns ran one after another, so learning what worked was slow.
- Unpredictable lead flowNew customers came mostly through the founders’ own network.
What we built
An AI-driven Campaign Architect
An AI-driven “Campaign Architect” to design, test and launch lead acquisition campaigns across channels (Meta, Google).
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