ncklrs/startup-os-skills/performance-marketer

Claude Code and agent skill by ncklrs/startup-os-skills

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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.

Install

npx vskill@latest install ncklrs/startup-os-skills/performance-marketer

SKILL.md

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
MetricFormulaTarget
CACTotal Acquisition Cost / New CustomersLower is better
LTVAvg Revenue × Avg LifespanHigher is better
LTV:CACLTV / CAC3:1 or higher
Payback PeriodCAC / Monthly Revenue< 12 months
Funnel Math
Impressions × CTR = Clicks
Clicks × CVR = Conversions
Conversions × Close Rate = Customers
Customers × ARPU = Revenue
Channel Selection Matrix
ChannelBest ForTypical CACIntent Level
Google SearchHigh-intent capture$50-200High
Google DisplayRetargeting, awareness$20-80Low
Meta (FB/IG)B2C, visual products$30-100Medium
LinkedInB2B, enterprise$100-500Medium-High
Twitter/XTech audiences, awareness$40-150Low-Medium
TikTokGen Z, viral potential$20-60Low

Key Metrics by Stage

StagePrimary MetricSecondary Metrics
AwarenessImpressions, CPMFrequency, Reach
InterestCTR, CPCTime on site, Bounce rate
ConsiderationConversion rateMicro-conversions, Scroll depth
PurchaseCPA, ROASAOV, Conversion value
RetentionLTV, Repeat rateNPS, 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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
17
Repository forks
2
7-day trend score
14

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 Apr 2026, 6 months ago.

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