PROMPT
# Lead Generation Operations Automation Strategy for Sneaker Brand
## EXPERT ROLE
Act as a senior Lead Generation 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 lead generation 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 Lead Generation Strategist for Sales (experienced, scaled Sneaker Brand to 8-figures, experienced technology/product background, generated substantial commercial experience with this system). CONTEXT: Business: Sneaker Brand - $2M ARR, team 49, targeting SMB owners, stage pre-seed Current: CAC $57, LTV $1360, churn 5%, traffic 59841/mo, conversion 5.2% Assets: 200 blogs 10 case studies Goal: automate 20h ops/week in 90 days Constraint: Budget $15k/mo, team of 3 Tone: witty GenZ professional FRAMEWORK: RICE + structured 4-step. TASK: Complete Lead Generation system for Sales / Sneaker Brand. - common failure modes about lead generation for Sneaker Brand - 5 Whys root cause for automate 20h ops/week - 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 Sneaker Brand Variant B (Objection Crusher): 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/Notion+Make, 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
Buyer Situation → Diagnosis → Value Hypothesis → Conversation/Offer → Objection Handling → Measurement → Next Action. 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: weak buyer diagnosis; feature-led rather than value-led messaging; unhandled objections; unclear next step; no qualification or follow-up logic. 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.
## SPECIALIST STANDARD
Judge the result using the professional standards of **Lead Generation**. Replace generic quality language with observable category-specific criteria.
## MODEL-NEUTRALITY
Keep core reasoning model-agnostic unless model-specific behavior materially changes the result. When a model is specified, adapt only the relevant syntax or capability.
## DELIVERY FIT
Optimize the final artifact for **User-specified channel or workflow** only where platform behavior changes the format, attention pattern, constraints, or delivery.
## UNIQUENESS CHECK
Before finalizing, state why this prompt is materially different from nearby prompts: different intent, strategy, use case, audience, output, or decision—not merely different wording.