Step of the analyze-performance playbook: gathers the week's numbers from tools, exports and pastes, cleans them, and writes the coverage line or switches to claims-only mode. Run analyze-performance instead; not for direct use.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
실행 점수 미검증
설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Load: ../analyze-performance/references/measurement-contract.md.
Inputs: the measurement contract (company type, referee, channel roster); tool reads (meta_read performance, social_analytics_get, ads_creative_read, video_read, campaign_read); the marketer's connectors / exports / screenshots / pastes from the one input message.
Do:
meta_read identifies Goose ads and cross-checks — de-duplicate by ad id.
3b. Save the input summary to reports/performance/inputs/<YYYY-MM-DD>.md for run-paid-campaigns to reuse.Output: a clean dataset per channel with labels, the coverage line, and the list of asks for next week.
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Research supported advertising promises from a specific buyer's context, current product facts, customer language and observed ads. Turn them into static, video or copy ideas; match video ideas to actual recipes and save a product-scoped angle bank for write-video-ad-script. Product-led discovery can use verified facts without reviews. Reference persistence and reach are observations, not proof of performance.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
For paid lead-gen and participant-recruitment ads, replaces vanity CPA with true CAC per qualified lead by joining ad-platform data with downstream funnel events, surfaces tracking gaps, and classifies every creative into Scale / Keep / Investigate / Cut.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
The intake stage of a Meta ad harness. Researches the brand first, states what it assumes, and asks only what it cannot infer and what would change money, claims or legal exposure if guessed wrong — at most four questions a turn, in plain business language. Writes the brand's stable facts (ads/brand.md), the campaign brief, and a log of what was asked vs assumed. Use it when someone wants to run Meta ads and the brand's ad facts are not yet recorded.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Checks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze the message match between your ads and landing pages. Checks if the promise in the ad copy carries through to the landing page headline, body, and CTA. Flags disconnects that kill conversion rates. Works with Google, Meta, and LinkedIn ads.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.