skills/ncklrs/startup-os-skills/performance-marketer

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

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
Weekly Installs
46
GitHub Stars
8
First Seen
Jan 27, 2026
Installed on
opencode44
github-copilot42
codex42
cursor41
gemini-cli41
amp39