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Build C-suite and board ad reports — blended ROAS, month-over-month and year-over-year, pacing, and a plain-English narrative of what happened and what to do. Use when a user wants an executive summary, a board report, or a monthly performance review across platforms.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | executive-reporting |
| description | Build C-suite and board ad reports — blended ROAS, month-over-month and year-over-year, pacing, and a plain-English narrative of what happened and what to do. Use when a user wants an executive summary, a board report, or a monthly performance review across platforms. |
Write for a reader who does not live in the ad accounts. Lead with the result and the decision, not the dashboard. Reads only; this produces a report, it does not change spend.
Confirm the account: list_connected_accounts, then pull real numbers across platforms: pull_<platform>_ads_performance(days=...), get_attribution for the cross-platform view, ga4_run_report for outcomes. Reconcile platform self-reports before quoting a total (see attribution).
create_google_doc / create_google_sheet when they want to circulate it. For operator-level per-channel detail rather than the exec view, use the report skill.Expand targeting without wrecking CPA — lookalike ladders, seed quality, audience layering, and exclusion hygiene across platforms. Use when a user wants to scale beyond exhausted audiences, build lookalikes, fix audience fatigue, or set up exclusion lists.
Build a post-cookie first-party data strategy — Enhanced Conversions, server-side tracking, Consent Mode v2, and activating owned data for targeting. Use when a user wants to recover lost conversion data, set up Enhanced Conversions or CAPI, implement consent mode, or plan for cookie deprecation.
Verify that ad campaigns actually target the geographies they claim — location criteria exist, presence-only matching is set, and click geography matches intent. Use when auditing campaigns, investigating cheap clicks or missing conversions, or reviewing any campaign before and after launch.
Diagnose and improve Google Ads Quality Score — Expected CTR, Ad Relevance, and Landing Page Experience — to cut CPCs and lift Ad Rank. Use when CPCs look high for the vertical, impression share is capped by rank, or keywords sit at QS 5 and below.
Optimize Google Shopping — product feed quality, titles, Merchant Center disapprovals, supplemental feeds, custom-label segmentation, and Shopping vs Performance Max structure. Use when Shopping impression share is low, products are disapproved, or feed titles and labels need work.
Design and run incrementality tests that measure true lift from ads — geo holdouts, platform lift studies, significance math, and iCPA decisions. Use when a user wants to know whether ads actually cause conversions, design a holdout test, or decide budget based on real lift.