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The Compounded Refugee

Jess

Tried compounded GLP-1 from a competitor in the past year,

Persona: Jess — The Compounded Refugee

1. Snapshot

2. Demographics

3. Psychographics

4. Daily life rhythm

5. Past attempts ledger

Approach Outcome Takeaway
Compounded semaglutide via Hims/Ro/Mochi/Henry (recent) Worked, then sourcing/quality scare "I want the real thing now"
Whole30 / clean eating Worked short-term "Sustainable for me means medical support + lifestyle"
OrangeTheory streaks Strong fitness, modest weight "I'm fit and still not where I want to be"
Intermittent fasting Worked, plateaued "It became its own thing"
Noom / WW Tried briefly "Calorie counting in a Trojan horse"
Continuous glucose monitor (Levels/Lingo) Insightful, didn't drive change "Knowing wasn't enough"

The pattern: she's experienced. Don't explain GLP-1 mechanism to her.

6. Trigger moments

7. Jobs-to-be-done

8. Aspirational identity

"The informed consumer who chose right the second time. Who does her homework, makes the smart call, and doesn't apologize for taking care of herself."

This is fundamentally about competence and self-trust restoration.

9. Self-talk (internal monologue)

10. Spoken objections (top 5)

  1. "Will this cost double what I was paying?"
  2. "Do I have to restart from the lowest dose?"
  3. "Is the insurance hassle worth it vs. just paying cash?"
  4. "Can I bring my dose history with me?"
  5. "Will switching mess with my progress?"

11. Hidden objections (unspoken)

The best body copy normalizes the transition without judgment.

12. Verbatim language (use in hooks/copy)

13. Anti-language (DO NOT USE)

14. Trigger keywords / scroll-stoppers

15. Search query patterns (GSA-ready)

Awareness (low for her — she's already past awareness): - "is compounded semaglutide safe" - "FDA compounded GLP-1 update"

Consideration: - "Wegovy telehealth no compounded" - "switch from compounded semaglutide to branded" - "branded GLP-1 telehealth FDA-approved" - "Eudaven vs Hims branded" - "Wegovy with Aetna telehealth"

Conversion: - "Eudaven reviews" - "Eudaven cost insurance" - "switch from [competitor] to branded" - "Wegovy telehealth fast prescription"

16. Trust builders

17. Information sources & social proof

18. Brand affinities (calibrates voice)

Glossier · Sephora · Sweetgreen · Erewhon (LA) · Joe & The Juice · Equinox · Solidcore · Pilates studios · Lululemon · Aritzia · Reformation · Madewell · Stanley cup · Hydroflask · Apple Watch · Whoop · Function Health · Levels · Lingo · Hims/Ro (her past) · Costco (Saturday runs) · Trader Joe's

Voice should sit in the Glossier / Function Health / Sweetgreen triangle — direct, confident, evidence-aware, no fluff, slight wink.

19. Decision dynamics

20. Emotional arc

21. Story archetype

"The wiser-now consumer." The story is correction with dignity. She tried something, learned, course-corrects — without us shaming her past.

Best narrative shape: peer testimonial structure ("I was on compounded with [competitor]. Here's why I switched and what's different.")

22. Eudaven fit

23. Funnel stage signals

24. Channel mix (Phase 1 priority bolded)

25. Visual cues (drives image-gen prompts)

26. Offer resonance

27. Regulatory flags (persona-specific) — HIGHEST CARE

28. Source notes & diversity caveat

Composite strawman built from r/Semaglutide patterns, competitive teardowns, and reporting on the compounded GLP-1 market.

Diversity caveat: This v0.1 skews coastal-urban, college-educated, mid- income. Real research will likely require: - Lower-income variant (cost sensitivity higher; insurance-navigation more critical, more sensitive to copay surprises) - Non-coastal urban (Phoenix, Nashville, KC) with different language register - Black + Latina variants of similar age cohort with different community signals and proof points - Male variant of this segment (less F-skewed than Maya's segment) — different language and visual cues, may overlap with David at younger end

Validate against: r/Semaglutide thread analysis, real customer interviews (target 30+ given heavy comparison shopping), Meta lookalike performance, intake survey on prior provider experience.

Treat as v0.1 — refresh by month 3.

How to use

Persona detail

The full source-of-truth doc for one persona. This exact content is what gets injected into the brief_synthesizer system prompt.

Document structure

28 structured fields, grouped into:

  • Identity — demographics, segment tag, one-liner
  • Pain & promise — what they struggle with, what we promise
  • Objections — what they push back on (and how to answer)
  • Voice cues — words they use, words to avoid
  • Visual casting — used by visual_direction to bound the imagery

How to edit

  1. Edit data/kb/personas/<slug>.md.
  2. Run make kb-seed to re-parse + persist.
  3. Next brief synthesis for this persona will use the new content.

Threshold reminder

The brand_scorer enforces a per-persona threshold. If you tune this persona to be more sensitive (e.g., medical/legal scrutiny), bump the threshold in app/pipelines/nodes/brand_scorer.py.