performance-marketer

Name: performance-marketer
Author: ncklrs

193installs3forks

How to install performance-marketer?

ncklrs/startup-os-skills/performance-marketer

$npx -y skills add ncklrs/startup-os-skills --skill performance-marketer

Installs into the current project.

Summary

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 G

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SKILL.md

1	# Performance Marketer
2
3	Expert performance marketing guidance for paid acquisition, conversion rate optimization, and data-driven growth — from ad creative to attribution modeling.
4
5	## Philosophy
6
7	Great performance marketing is a system, not a series of tactics:
8
9	1. Measure what matters — Vanity metrics kill budgets
10	2. Test with intention — Random A/B tests waste time and traffic
11	3. Optimize the full funnel — A great ad to a bad landing page burns money
12	4. Compound learnings — Every test teaches something for the next
13
14	## How This Skill Works
15
16	When invoked, apply the guidelines in `rules/` organized by:
17
18	- `paid-*` — Paid advertising strategy, creative, and copy
19	- `landing-*` — Landing page optimization
20	- `testing-*` — A/B testing and experimentation frameworks
21	- `analytics-*` — Attribution, CAC/LTV, and conversion tracking
22	- `budget-*` — Budget allocation and scaling
23
24	## Core Frameworks
25
26	### The Performance Marketing Loop
27
28	```
29	┌─────────────────────────────────────────────────────────┐
30	│ │
31	│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
32	│ │ ADS │───▶│ LANDING │───▶│ CONVERT │ │
33	│ │ (Reach) │ │ (Hook) │ │ (Action) │ │
34	│ └──────────┘ └──────────┘ └──────────┘ │
35	│ ▲ │ │
36	│ │ ┌──────────┐ │ │
37	│ └──────────│ ANALYZE │◀─────────┘ │
38	│ │ (Learn) │ │
39	│ └──────────┘ │
40	│ │
41	└─────────────────────────────────────────────────────────┘
42	```
43
44	### The CAC/LTV Equation
45
46	\| Metric \| Formula \| Target \|
47	\|--------\|---------\|--------\|
48	\| CAC \| Total Acquisition Cost / New Customers \| Lower is better \|
49	\| LTV \| Avg Revenue × Avg Lifespan \| Higher is better \|
50	\| LTV:CAC \| LTV / CAC \| 3:1 or higher \|
51	\| Payback Period \| CAC / Monthly Revenue \| < 12 months \|
52
53	### Funnel Math
54
55	```
56	Impressions × CTR = Clicks
57	Clicks × CVR = Conversions
58	Conversions × Close Rate = Customers
59	Customers × ARPU = Revenue
60	```
61
62	### Channel Selection Matrix
63
64	\| Channel \| Best For \| Typical CAC \| Intent Level \|
65	\|---------\|----------\|-------------\|--------------\|
66	\| Google Search \| High-intent capture \| $50-200 \| High \|
67	\| Google Display \| Retargeting, awareness \| $20-80 \| Low \|
68	\| Meta (FB/IG) \| B2C, visual products \| $30-100 \| Medium \|
69	\| LinkedIn \| B2B, enterprise \| $100-500 \| Medium-High \|
70	\| Twitter/X \| Tech audiences, awareness \| $40-150 \| Low-Medium \|
71	\| TikTok \| Gen Z, viral potential \| $20-60 \| Low \|
72
73	## Key Metrics by Stage
74
75	\| Stage \| Primary Metric \| Secondary Metrics \|
76	\|-------\|---------------\|-------------------\|
77	\| Awareness \| Impressions, CPM \| Frequency, Reach \|
78	\| Interest \| CTR, CPC \| Time on site, Bounce rate \|
79	\| Consideration \| Conversion rate \| Micro-conversions, Scroll depth \|
80	\| Purchase \| CPA, ROAS \| AOV, Conversion value \|
81	\| Retention \| LTV, Repeat rate \| NPS, Churn rate \|
82
83	## Budget Allocation Framework
84
85	### The 70-20-10 Rule
86
87	- 70% — Proven channels and campaigns (scale what works)
88	- 20% — Optimization tests (improve what's working)
89	- 10% — Experimentation (test new channels/approaches)
90
91	### Scaling Checklist
92
93	Before scaling a campaign:
94	- [ ] LTV:CAC ratio ≥ 3:1
95	- [ ] Consistent performance over 2+ weeks
96	- [ ] Statistical significance on key metrics
97	- [ ] Landing page handles traffic spikes
98	- [ ] Tracking verified on all conversion events
99
100	## Anti-Patterns
101
102	- Scaling too fast — Doubling budget overnight breaks algorithms
103	- Testing everything at once — Can't learn what caused the change
104	- Ignoring attribution — Last-click lies, multi-touch tells the truth
105	- Copy-paste ads — Same creative across channels fails
106	- Optimizing for clicks — Clicks don't pay bills, conversions do
107	- Set and forget — Ads fatigue, audiences shift, competition changes
108	- Vanity metrics — Impressions feel good, revenue feels better

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performance-marketer

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View on GitHub

How to install performance-marketer?

ncklrs/startup-os-skills/performance-marketer

$npx -y skills add ncklrs/startup-os-skills --skill performance-marketer

Installs into the current project.

Summary

Files · 1

View on GitHub

SKILL.md

1	# Performance Marketer
2
3	Expert performance marketing guidance for paid acquisition, conversion rate optimization, and data-driven growth — from ad creative to attribution modeling.
4
5	## Philosophy
6
7	Great performance marketing is a system, not a series of tactics:
8
9	1. Measure what matters — Vanity metrics kill budgets
10	2. Test with intention — Random A/B tests waste time and traffic
11	3. Optimize the full funnel — A great ad to a bad landing page burns money
12	4. Compound learnings — Every test teaches something for the next
13
14	## How This Skill Works
15
16	When invoked, apply the guidelines in `rules/` organized by:
17
18	- `paid-*` — Paid advertising strategy, creative, and copy
19	- `landing-*` — Landing page optimization
20	- `testing-*` — A/B testing and experimentation frameworks
21	- `analytics-*` — Attribution, CAC/LTV, and conversion tracking
22	- `budget-*` — Budget allocation and scaling
23
24	## Core Frameworks
25
26	### The Performance Marketing Loop
27
28	```
29	┌─────────────────────────────────────────────────────────┐
30	│ │
31	│ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
32	│ │ ADS │───▶│ LANDING │───▶│ CONVERT │ │
33	│ │ (Reach) │ │ (Hook) │ │ (Action) │ │
34	│ └──────────┘ └──────────┘ └──────────┘ │
35	│ ▲ │ │
36	│ │ ┌──────────┐ │ │
37	│ └──────────│ ANALYZE │◀─────────┘ │
38	│ │ (Learn) │ │
39	│ └──────────┘ │
40	│ │
41	└─────────────────────────────────────────────────────────┘
42	```
43
44	### The CAC/LTV Equation
45
46	\| Metric \| Formula \| Target \|
47	\|--------\|---------\|--------\|
48	\| CAC \| Total Acquisition Cost / New Customers \| Lower is better \|
49	\| LTV \| Avg Revenue × Avg Lifespan \| Higher is better \|
50	\| LTV:CAC \| LTV / CAC \| 3:1 or higher \|
51	\| Payback Period \| CAC / Monthly Revenue \| < 12 months \|
52
53	### Funnel Math
54
55	```
56	Impressions × CTR = Clicks
57	Clicks × CVR = Conversions
58	Conversions × Close Rate = Customers
59	Customers × ARPU = Revenue
60	```
61
62	### Channel Selection Matrix
63
64	\| Channel \| Best For \| Typical CAC \| Intent Level \|
65	\|---------\|----------\|-------------\|--------------\|
66	\| Google Search \| High-intent capture \| $50-200 \| High \|
67	\| Google Display \| Retargeting, awareness \| $20-80 \| Low \|
68	\| Meta (FB/IG) \| B2C, visual products \| $30-100 \| Medium \|
69	\| LinkedIn \| B2B, enterprise \| $100-500 \| Medium-High \|
70	\| Twitter/X \| Tech audiences, awareness \| $40-150 \| Low-Medium \|
71	\| TikTok \| Gen Z, viral potential \| $20-60 \| Low \|
72
73	## Key Metrics by Stage
74
75	\| Stage \| Primary Metric \| Secondary Metrics \|
76	\|-------\|---------------\|-------------------\|
77	\| Awareness \| Impressions, CPM \| Frequency, Reach \|
78	\| Interest \| CTR, CPC \| Time on site, Bounce rate \|
79	\| Consideration \| Conversion rate \| Micro-conversions, Scroll depth \|
80	\| Purchase \| CPA, ROAS \| AOV, Conversion value \|
81	\| Retention \| LTV, Repeat rate \| NPS, Churn rate \|
82
83	## Budget Allocation Framework
84
85	### The 70-20-10 Rule
86
87	- 70% — Proven channels and campaigns (scale what works)
88	- 20% — Optimization tests (improve what's working)
89	- 10% — Experimentation (test new channels/approaches)
90
91	### Scaling Checklist
92
93	Before scaling a campaign:
94	- [ ] LTV:CAC ratio ≥ 3:1
95	- [ ] Consistent performance over 2+ weeks
96	- [ ] Statistical significance on key metrics
97	- [ ] Landing page handles traffic spikes
98	- [ ] Tracking verified on all conversion events
99
100	## Anti-Patterns
101
102	- Scaling too fast — Doubling budget overnight breaks algorithms
103	- Testing everything at once — Can't learn what caused the change
104	- Ignoring attribution — Last-click lies, multi-touch tells the truth
105	- Copy-paste ads — Same creative across channels fails
106	- Optimizing for clicks — Clicks don't pay bills, conversions do
107	- Set and forget — Ads fatigue, audiences shift, competition changes
108	- Vanity metrics — Impressions feel good, revenue feels better

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