performance-marketer

Original：🇺🇸 English

Translated

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.

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Added on2026-02-11

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npx skill4agent add ncklrs/startup-os-skills performance-marketer

SKILL.md Content

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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:

Measure what matters — Vanity metrics kill budgets
Test with intention — Random A/B tests waste time and traffic
Optimize the full funnel — A great ad to a bad landing page burns money
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