Traction Paid Acquisition
SkillDev toolsPlan paid acquisition tests from Traction across SEM, social/display ads, and offline ads. Use when designing ad experiments, keyword tests, audience tests, paid channel budgets, or deciding whether a paid channel can acquire the right customers profitably.
Use Traction Paid Acquisition in Claude, ChatGPT or Ahel Desktop
Free. Sign in, add Traction Paid Acquisition and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
Then ask your AI: use the Traction Paid Acquisition skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/traction-paid-acquisition/SKILL.md and read by Ahel’s review.
Use this skill to design paid acquisition experiments that validate customer quality and economics before scaling spend.
Source Traceability
Primary source: Traction, chapters 9-11 and the appendix. Authoring notes: converted lines 1233-1627 and 3335-3340.
Channels
- SEM: test high-intent search demand and conversion economics.
- Social and display ads: test targeted audiences, creative, and offer resonance.
- Offline ads: test channels that competitors may ignore, especially niche podcasts, local media, or audience-specific placements.
Workflow
- State the buying intent or audience hypothesis.
- Select one paid channel strategy, not a broad paid marketing mix.
- Define the conversion event that matters.
- Set a small budget and time box.
- Create a minimal landing path with tracking.
- Estimate break-even CAC from price, margin, and LTV.
- Run the test and compare CAC, conversion quality, and reachable volume.
Output Format
# Paid Acquisition Test
## Hypothesis
[Audience/intent + offer + expected conversion.]
## Channel Strategy
- Channel:
- Audience or keywords:
- Offer:
- Budget:
- Duration:
## Economics
| Metric | Estimate |
|--------|----------|
| Price/LTV | |
| Gross margin | |
| Break-even CAC | |
| Target CAC for test | |
## Creative/Copy
- Ad angle 1:
- Ad angle 2:
- Landing page promise:
## Tracking
- Conversion event:
- Attribution method:
- Customer quality check:
## Decision Rules
- Double down:
- Iterate:
- Kill:
Quality Bar
- Track conversions, not only clicks.
- Compare CAC against LTV or expected customer value.
- Keep early tests narrow enough to interpret.
- Avoid large budgets before one strategy has signal.
Signals
- GitHub stars
- 1k
- Forks
- 316
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
traction-paid-acquisition- Source
- github.com/hashgraph-online/awesome-codex-plugins
github.com/hashgraph-online/awesome-codex-plugins
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