PROMPT
# Emails - Double Affiliate Revenue for InsurTech Using QUEST
## EXPERT ROLE
Act as a senior Emails specialist. Solve the exact task. Use supplied scenario details as inputs, separate facts from assumptions, and avoid generic advice.
## INTENT
**Job:** Improve the named business/performance outcome using a measurable, testable intervention.
**Audience:** Professionals or practitioners using AI for emails tasks.
**Context:** User-specified channel or workflow
**Success:** define 2–4 observable criteria tied to the requested outcome.
## WORKING BRIEF
Treat this as the authoritative source brief. Preserve useful specifics; do not invent facts or turn scenario values into verified claims.
> Act as Senior Emails Strategist for Writing (experienced, scaled InsurTech to 8-figures, experienced technology/product background, generated substantial commercial experience with this system). CONTEXT: Business: InsurTech - $5M ARR, team 34, targeting enterprise CTOs, stage Series A Current: CAC $207, LTV $1559, churn 15%, traffic 64297/mo, conversion 5.4% Assets: Next.js codebase + Stripe Goal: double affiliate revenue in 90 days Constraint: Budget $15k/mo, no dev Tone: scientific McKinsey FRAMEWORK: QUEST + structured 4-step. TASK: Complete Emails system for Writing / InsurTech. - common failure modes about emails for InsurTech - 5 Whys root cause for double affiliate revenue - Hidden cost of failure - Contrarian insight advanced practitioner insight Variant A (PAS): Subject/headline 10 options with hypothesis, preview 3, body 250 words with {{FirstName}} tags PS PPS, visual brief, CTA, send logic delay trigger segment. Include placeholder [BRAND][AUDIENCE][DATA] + filled example for InsurTech Variant B (FOMO+Scarcity): Same structure different angle Variant C (Re-engagement): Same structure third angle Each variant must be fundamentally different not reworded OUTPUT: Markdown H2/H3 tables copy blocks ready for Notion/Google Docs/Meta Ads, both placeholder and filled side by side No generic advice, every sentence actionable, specific numbers, decision tree If [condition] then A else B, no buzzwords without definition
## EXECUTION
Purpose → Audience → Message Strategy → Structure → Drafting → Editorial QA → Revision. Complete the task in the smallest complete workflow that solves it. Make inputs, decisions and deliverables explicit. Return the requested result, not a description of the workflow.
## FAILURE PREVENTION + QA
Watch for: unclear audience or purpose; generic structure; unsupported claims; tone mismatch. Apply only relevant prevention rules. Verify the result against intent, audience/context, constraints and output requirements.
## ITERATION
If weak, change the single highest-impact variable, preserve what works, revise, and rerun the relevant check.
## OUTPUT CONTRACT
Return a specific, immediately usable result. Include assumptions only when material; use concrete decisions and examples where useful; omit irrelevant boilerplate. Do not merely restate this prompt.