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Acquisition & growth (0→1)

Nexbody was born in 2024, entering into a GLP-1 market with an increasing CAC.

The project was bootstrapped, with a $10k budget to validate our value proposition.

Trust was a barrier: compounding credentials and medication effectiveness needed proof.

The task

I was responsible of building a repeatable pipeline of paying users while proving unit economics. This required establishing a scalable paid acquisition engine, reducing activation friction, and implementing a growth experimentation system to optimize conversion and retention.

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Key Results:
- Achieve sustainable unit economics: Blended CAC ≤ $200 with 2-month payback period.
- Achieve an onboarding completion rate ≥ 65%, and time from signup to appointment ≤ 72 hours.
- Build a high-velocity experimentation system that allows to run one A/B test per week .

Actions taken

Strategic analysis: Mapped market, regulations, and competitor funnels to set a baseline CAC/CVR and price anchors.
- Analyzed keywords and segmentation opportunities to achieve necessary unit economics (CAC/paback).
- Interviewed bounce and convert users to extract objections and decision drivers.
- Built an onboarding funnel tracking plan to A/B test and compare CVR.
- Established the core hypotheses to validate.

‍Accelerating feedback loops:

Conducted rapid iteration sprints using VWO (no engineering/deployment needed).
Added a chat widget to facilitate customer discovery and identify the most common questions.
Quickly identified bugs through alerts and session recordings.
Built and A/B tested 10+ landing pages over 4 months, implementing based on session recordings.

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Implementations and iterations:

Launched Google and Meta Ads with a tight niche segmentation (Spanish speakers) and key differentiator (immediate appointment). Tested and iterated based on CTR and PPC.
Designed and user-tested a progressive onboarding to pre-qualify patients in under 1 minute.
Optimized headlines, screen order, CTA order, pricing frames, behavioral nudges, and trust builders.
Added “sign up now, pay after eligibility” for hesitant users.
Experimented with persuasive elements: clinician bios, testimonials, results estimations, educational screens, credentials, etc.
Enabled email retargeting and winback automations (drop-off step detection, objection-based copy, etc.).