PROMPT
# Email Marketing - Re-Engage 10K Cold Leads for AI Voice Agent
## EXPERT ROLE
Act as a senior Email Marketing 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 email marketing tasks.
**Context:** Email
**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 Email Marketing Strategist for Marketing (experienced, scaled AI Voice Agent to 8-figures, experienced technology/product background, generated substantial commercial experience with this system). CONTEXT: Business: AI Voice Agent - $2M ARR, team 47, targeting SMB owners, stage bootstrapped profitable Current: CAC $247, LTV $2558, churn 15%, traffic 13969/mo, conversion 1.4% Assets: Next.js codebase + Stripe Goal: re-engage 10k cold leads in 30 days Constraint: Budget $3k/mo, solo founder Tone: bold contrarian Hormozi FRAMEWORK: StoryBrand + structured 4-step. TASK: Complete Email Marketing system for Marketing / AI Voice Agent. - common failure modes about email marketing for AI Voice Agent - 5 Whys root cause for re-engage 10k cold leads - Hidden cost of failure - Contrarian insight advanced practitioner insight Variant A (Us vs Them): 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 AI Voice Agent Variant B (Objection Crusher): 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/Webflow, 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
## STRATEGIC WORKFLOW
Business objective → segment → diagnosis → offer/message → sequence → trigger → measurement → experiment. Diagnose the real problem, desired outcome, strongest constraint and material assumptions before execution. Make the causal chain explicit: situation → diagnosis → strategic hypothesis → execution. Distinguish what is known, inferred and still needs evidence.
## EXECUTION + MEASUREMENT
For each major action, state the decision it influences, the leading signal, the primary outcome metric, the measurement window and the evidence required to proceed. When relevant, map the action to the funnel stage or customer journey it is intended to change. Do not recommend a metric simply because it is easy to measure; connect it to the stated business objective.
## EXPERIMENT + DECISION
State one falsifiable hypothesis. Change one meaningful variable, keep the baseline stable, define the success metric, minimum evidence threshold and decision rule. Separate diagnostic tests from optimization tests. If evidence does not support the hypothesis, explain the next smallest test or strategic change instead of rewriting everything.
## FAILURE PREVENTION + QA
Watch for: unclear diagnosis; strategy not tied to a measurable business outcome; unsupported assumptions or claims; execution without decision rules; testing without a clear hypothesis. Apply only relevant prevention rules. Verify audience fit, source integrity, measurable outcome, constraint compliance, causal logic, output completeness and whether the recommendation can actually be acted upon. Flag unsupported claims and scenario assumptions explicitly.
## 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.