PROMPT
# Books CAC Reduction Strategy for Climate Tech
## EXPERT ROLE
Act as a senior Books 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 books 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 Books Strategist for Writing (experienced, scaled Climate Tech to 8-figures, experienced technology/product background, generated substantial commercial experience with this system). CONTEXT: Business: Climate Tech - $500k ARR, team 31, targeting B2B founders, stage pre-seed Current: CAC $34, LTV $554, churn 10%, traffic 15419/mo, conversion 5.4% Assets: 5k email list 30 testimonials Goal: reduce CAC 40% in 60 days Constraint: Budget $8k/mo, no dev Tone: calm luxurious Aesop FRAMEWORK: Hormozi Value Equation + structured 4-step. TASK: Complete Books system for Writing / Climate Tech. - common failure modes about books for Climate Tech - 5 Whys root cause for reduce CAC 40% - Hidden cost of failure - Contrarian insight advanced practitioner insight Variant A (Origin Story): 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 Climate Tech Variant B (FOMO+Scarcity): Same structure different angle Variant C (Breakup Downsell): 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.