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ads-performance-analytics

How to read paid media dashboards without fooling yourself. Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes that produce expensive lessons. Triggers on read paid media dashboard, attribution analysis, ROAS vs LTV, multi-platform reconciliation, ad incrementality, geo holdout, conversion lift study, ghost bidding, paid media reporting, board-deck paid media metrics, blended CAC, MMM, MTA, last-click attribution. Also triggers when a marketer is about to scale, kill, or rebudget a campaign based on platform metrics, or when reconciling platform reports against warehouse revenue.

70

Quality

85%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is ads-performance-analytics in rampstackco/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, domain-rich instructional skill with concrete formulas, thresholds, worked examples, a sequenced decision framework, and clean one-level progressive disclosure. Its main weakness is editorial prose that pads the length without adding actionable content.

Suggestions

Trim motivational/editorial paragraphs (e.g., the opening 'moment of truth' paragraph and the Closing section) to lean prose that assumes the reader's competence and keeps every token actionable.

Pull one concrete setup checklist for the highest-value test (geo holdout: matched markets, power calculation, pre-committed window) inline from the reference, so the core causal method is executable without a file hop.

Add an explicit reconciliation validation checkpoint to the 12-consideration framework (e.g., 'recompute blended CAC from warehouse totals and confirm it does not rely on platform sums') so the workflow has a visible verify step.

DimensionReasoningScore

Conciseness

The body is mostly efficient domain expertise (attribution, reconciliation, incrementality) that Claude does not already know, but it carries several paragraphs of editorial/philosophical prose ('The dashboard is the moment of truth...', 'The platform will not tell you. The platform's incentive is the opposite.') that could be tightened without losing substance.

3 / 5

Actionability

Provides concrete, specific guidance — the blended CAC formula, detection thresholds ('exceed warehouse-attributed... by more than 30%'), incremental rate ranges by channel, and worked ROAS/LTV examples — though some concrete 'how' steps (e.g., geo holdout setup) are deferred to references rather than fully spelled out.

4 / 5

Workflow Clarity

A clear sequenced checklist (the 12 considerations) with an explicit decision output (Scale/Hold/Kill) and a sanctioned 'state the gap' checkpoint for missing data, but no explicit validate-fix-retry feedback loop, which is appropriate here since the skill is interpretive rather than a destructive/batch operation.

4 / 5

Progressive Disclosure

Clear overview with seven well-signaled one-level-deep references, each linked inline at the relevant section and consolidated in a Reference files list; all referenced files exist on disk and content is appropriately split between inline concepts and detailed reference playbooks.

5 / 5

Total

16

/

20

Passed

Description

100%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

An exceptionally strong description that crisply states the skill's purpose, enumerates concrete capabilities, and provides both keyword and scenario triggers. It is distinguishable from neighboring paid-media skills and uses descriptive (non-first-person) voice throughout.

DimensionReasoningScore

Specificity

Enumerates six concrete analytical capabilities plus failure modes ('Attribution models, platform reporting quirks, multi-platform reconciliation, ROAS vs LTV horizon traps, statistical noise in performance metrics, incrementality testing, and the failure modes'), giving comprehensive coverage of the skill's concrete sub-tasks.

5 / 5

Completeness

Explicitly answers both what ('How to read paid media dashboards without fooling yourself' plus the capability list) and when ('Triggers on...', 'Also triggers when...') with concrete trigger phrases.

5 / 5

Trigger Term Quality

Comprehensive natural-term coverage including synonyms and abbreviations a marketer would actually say ('ROAS vs LTV', 'geo holdout', 'conversion lift study', 'ghost bidding', 'blended CAC', 'MMM', 'MTA', 'last-click attribution'), plus scenario triggers ('scale, kill, or rebudget a campaign based on platform metrics').

5 / 5

Distinctiveness Conflict Risk

Clear niche (paid media dashboard interpretation / incrementality) with domain-specific triggers unlikely to fire for adjacent skills; the body explicitly distinguishes it from paid-media-strategy and ads-creative-development.

5 / 5

Total

20

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
rampstackco/claude-skills
Reviewed

Table of Contents

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