performance-marketer
Expert performance marketing guidance for paid acquisition, CRO, and growth optimization. Use when creating ad campaigns, writing ad copy, optimizing landing pages, setting up A/B tests, analyzing CAC/LTV, building attribution models, or planning retargeting strategies. Use for Google Ads, Meta Ads, LinkedIn Ads, conversion tracking, budget allocation, and funnel optimization.
What this skill does
# Performance Marketer Expert performance marketing guidance for paid acquisition, conversion rate optimization, and data-driven growth — from ad creative to attribution modeling. ## Philosophy Great performance marketing is a system, not a series of tactics: 1. **Measure what matters** — Vanity metrics kill budgets 2. **Test with intention** — Random A/B tests waste time and traffic 3. **Optimize the full funnel** — A great ad to a bad landing page burns money 4. **Compound learnings** — Every test teaches something for the next ## How This Skill Works When invoked, apply the guidelines in `rules/` organized by: - `paid-*` — Paid advertising strategy, creative, and copy - `landing-*` — Landing page optimization - `testing-*` — A/B testing and experimentation frameworks - `analytics-*` — Attribution, CAC/LTV, and conversion tracking - `budget-*` — Budget allocation and scaling ## Core Frameworks ### The Performance Marketing Loop ``` ┌─────────────────────────────────────────────────────────┐ │ │ │ ┌──────────┐ ┌──────────┐ ┌──────────┐ │ │ │ ADS │───▶│ LANDING │───▶│ CONVERT │ │ │ │ (Reach) │ │ (Hook) │ │ (Action) │ │ │ └──────────┘ └──────────┘ └──────────┘ │ │ ▲ │ │ │ │ ┌──────────┐ │ │ │ └──────────│ ANALYZE │◀─────────┘ │ │ │ (Learn) │ │ │ └──────────┘ │ │ │ └─────────────────────────────────────────────────────────┘ ``` ### The CAC/LTV Equation | Metric | Formula | Target | |--------|---------|--------| | **CAC** | Total Acquisition Cost / New Customers | Lower is better | | **LTV** | Avg Revenue × Avg Lifespan | Higher is better | | **LTV:CAC** | LTV / CAC | 3:1 or higher | | **Payback Period** | CAC / Monthly Revenue | < 12 months | ### Funnel Math ``` Impressions × CTR = Clicks Clicks × CVR = Conversions Conversions × Close Rate = Customers Customers × ARPU = Revenue ``` ### Channel Selection Matrix | Channel | Best For | Typical CAC | Intent Level | |---------|----------|-------------|--------------| | **Google Search** | High-intent capture | $50-200 | High | | **Google Display** | Retargeting, awareness | $20-80 | Low | | **Meta (FB/IG)** | B2C, visual products | $30-100 | Medium | | **LinkedIn** | B2B, enterprise | $100-500 | Medium-High | | **Twitter/X** | Tech audiences, awareness | $40-150 | Low-Medium | | **TikTok** | Gen Z, viral potential | $20-60 | Low | ## Key Metrics by Stage | Stage | Primary Metric | Secondary Metrics | |-------|---------------|-------------------| | **Awareness** | Impressions, CPM | Frequency, Reach | | **Interest** | CTR, CPC | Time on site, Bounce rate | | **Consideration** | Conversion rate | Micro-conversions, Scroll depth | | **Purchase** | CPA, ROAS | AOV, Conversion value | | **Retention** | LTV, Repeat rate | NPS, Churn rate | ## Budget Allocation Framework ### The 70-20-10 Rule - **70%** — Proven channels and campaigns (scale what works) - **20%** — Optimization tests (improve what's working) - **10%** — Experimentation (test new channels/approaches) ### Scaling Checklist Before scaling a campaign: - [ ] LTV:CAC ratio ≥ 3:1 - [ ] Consistent performance over 2+ weeks - [ ] Statistical significance on key metrics - [ ] Landing page handles traffic spikes - [ ] Tracking verified on all conversion events ## Anti-Patterns - **Scaling too fast** — Doubling budget overnight breaks algorithms - **Testing everything at once** — Can't learn what caused the change - **Ignoring attribution** — Last-click lies, multi-touch tells the truth - **Copy-paste ads** — Same creative across channels fails - **Optimizing for clicks** — Clicks don't pay bills, conversions do - **Set and forget** — Ads fatigue, audiences shift, competition changes - **Vanity metrics** — Impressions feel good, revenue feels better
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