Buy traffic profitably by measuring against payback and lifetime value rather than cost per click. Use when considering paid channels or when spend is rising without profit.
Scanned 9/5/2026
Install to Claude Code
npx -y skills add Amey-Thakur/AI-SKILLS --skill paid-acquisition --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: paid-acquisition
description: Buy traffic profitably by measuring against payback and lifetime value rather than cost per click. Use when considering paid channels or when spend is rising without profit.
---
# Paid acquisition
Paid channels buy attention at auction, which means costs rise until
marginal buyers are unprofitable. Discipline comes from knowing what a
customer is worth and refusing to pay more, which requires unit
economics before the first campaign.
## Method
1. **Know your allowable acquisition cost first.** Derived from
contribution margin and payback period, since without it there is no
basis for deciding a bid is too high (see unit-economics).
2. **Start with the highest-intent channel.** Search captures existing
demand and converts far better than interruptive channels that must
create it.
3. **Match the landing page to the ad.** A mismatch between promise and
page is the most common and most expensive conversion leak (see
landing-page-strategy).
4. **Measure to the outcome that matters.** Cost per activated or
retained customer, not per click or per signup, since cheap signups
that never activate are a cost.
5. **Test creative and audience separately.** Changing both makes
results uninterpretable, and creative usually matters more than
targeting.
6. **Expect rising costs and diminishing returns.** Scaling spend means
reaching less interested people, so efficiency falls as volume grows.
7. **Set a kill threshold before launching.** The spend at which an
underperforming campaign stops, decided in advance rather than in
the moment.
## Boundaries
Paid acquisition buys volume and does not create product-market fit;
scaling spend on a leaky funnel accelerates loss. Attribution is
imperfect and platform-reported conversions are self-graded (see
marketing-attribution). Privacy changes have materially reduced
targeting and measurement accuracy.
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