paid-media-strategy
A discipline for running paid media that does not light money on fire. Hypothesis writing for paid spend, channel selection, budget allocation, audience targeting, bid strategy, campaign types, what NOT to spend on, attribution reality, and the failure modes that produce expensive lessons. Triggers on paid media strategy, ad budget allocation, channel selection, paid media plan, audit my Google Ads, audit my Meta Ads, scale paid media, kill underperforming campaign, paid media hypothesis, ad spend strategy, attribution reality, performance marketing strategy. Also triggers when a team is askin
Profile →npx skills add rampstackco/claude-skills --skill paid-media-strategy --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
What it does
The skill instructs the agent to develop and use a hypothesis-driven approach for paid media spend, specifying audience, offer, channel, outcome metric, and magnitude. It emphasizes pre-commitment on falsification rules and identifies primary metrics and guardrails to evaluate performance. It provides channel-specific guidance for Google Search, Google Performance Max, Meta, TikTok, LinkedIn, Reddit/Pinterest/Snapchat/X, and YouTube, including when each channel is advantageous or problematic. It outlines a budget-allocation framework (brand vs performance, baseline vs test, primary vs secondary channel, daily vs lifetime budgets) and discusses pacing. It defines audience targeting as Prospecting, Retargeting, and Exclusion, with common mistakes. It details bid strategies (Manual CPC/CPM, Maximize Conversions, tCPA, tROAS, Maximum Conversion Value, Enhanced CPC) and a recommended progression for new campaigns. It lists major Campaign types per platform and points to detailed references. It specifies what not to spend on, highlighting defensible spend, targeting, and creative considerations. It covers creative testing modes (Within-campaign vs Across-campaign), cadence for refreshing top creatives, and the principle that winning creatives form a floor. It addresses Frequency capping to prevent ad fatigue and outlines typical caps by objective. It explains Attribution mismatch topics, including Last-click vs platform-reported differences, iOS 14.5+ impact, view-through attribution, and cross-platform interference.
How it works
The skill instructs the agent to:
- Form a clear, falsifiable hypothesis with audience, offer, channel, outcome metric, and magnitude; establish pre-commitment rules for when to scale, pause, or kill.
- Select channels based on intent alignment with the offer and provide detailed guidance on when each channel is suitable or not, including caveats about automation and control.
- Allocate budgets using a structured framework (brand vs performance, baseline vs test, primary vs secondary channels, daily vs lifetime budgets) and advise on pacing and testing templates.
- Define audience targeting strategies as Prospecting, Retargeting, and Exclusion, with cautions against common mistakes and references for deeper patterns.
- Recommend bid strategies appropriate to data state and conversions, plus a progression plan to move from initial data gathering to optimized strategies.
- Outline campaign types per platform with use cases to steer selection.
- List items not to spend on and provide audit rules to reclaim waste.
- Describe creative testing approaches (within vs across campaigns) and cadence for refreshing winners.
- Describe frequency capping and rotation strategies.
- Explain attribution pitfalls and how platform reporting can diverge from GA and real-world results.
When to use it
Triggered when designing a paid media plan, evaluating scale vs kill decisions, allocating cross-channel budgets, or auditing an existing account.
What it can touch
The skill references tools and templates and includes detailed references and templates for budget allocation, audience patterns, and bid strategies. It assumes access to ad platforms (e.g., Google Ads, Meta) and analytics systems for measurement, and it directs use of platform-specific documentation for MCP tooling and current setup.
Caveats
Cites potential misalignment between platform-reported metrics and actual outcomes, the impact of iOS 14.5+ on conversion reporting, and the importance of pre-commitment rules to avoid misleading results. It emphasizes that strategic discipline, not ad creative alone, drives gains, and notes that the guidance relies on having a paid media platform connected and working analytics and conversion tracking.
# Paid Media Strategy A senior performance marketer's playbook for running paid media that produces real outcomes. The default state of paid media is wasted spend. Most accounts have campaigns running because they always have, audiences targeting because the rep suggested it, bid strategies on auto because manual is hard, creative not refreshed because there is no system. The cost compounds. A 20% efficiency gain on a $500K-per-year account is $100K back to the business. A 50% gain on a $5M-per-year account is $2.5M. This skill is the discipline that produces those gains. It assumes you have a paid media platform (Google Ads, Meta, LinkedIn, TikTok, or aggregators like Synter) connected. It assumes you have working analytics and conversion tracking. The hard part is the strategic discipline behind the spend, and that is what is here. When to use this skill: any time you are designing a paid media plan, evaluating whether to scale or kill a campaign, allocating budget across channels, or auditing an existing account. --- ## What this skill is for This skill spans paid media strategy and operations. It does not cover ad creative production (use `ads-creative-development`), result int
- What this skill is for
- Hypothesis discipline for paid spend
- Channel selection: when to use which platform
- Budget allocation: brand vs performance, baseline vs test
- Audience targeting: prospecting vs retargeting vs exclusion
- Bid strategy: when each fits
- Campaign types
- What NOT to spend on
- Creative testing: within campaign vs across campaign
- Frequency capping
- Attribution mismatch: platform-reported vs actual
- Common failures
- The framework: 11 considerations for sustainable paid media
- Reference files
What does the paid-media-strategy skill do?
A discipline for running paid media that does not light money on fire. Hypothesis writing for paid spend, channel selection, budget allocation, audience targeting, bid strategy, campaign types, what NOT to spend on, attribution reality, and the failure modes that produce expensive lessons. Triggers on paid media strategy, ad budget allocation, channel selection, paid media plan, audit my Google Ads, audit my Meta Ads, scale paid media, kill underperforming campaign, paid media hypothesis, ad spend strategy, attribution reality, performance marketing strategy. Also triggers when a team is askin
How do I install it?
Run `npx skills add rampstackco/claude-skills --skill paid-media-strategy --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From rampstackco/claude-skills, a repository with 515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.