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Ground channel-mix and budget-split decisions in typical CPM, CPC, and CPA ranges per platform, and set realistic performance expectations. Use when a user asks what to expect on a platform, how to split budget across channels, or whether their numbers are normal.
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
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.
| name | platform-benchmarks |
| description | Ground channel-mix and budget-split decisions in typical CPM, CPC, and CPA ranges per platform, and set realistic performance expectations. Use when a user asks what to expect on a platform, how to split budget across channels, or whether their numbers are normal. |
Set expectations and split budget using how each platform typically performs for an objective and audience. Use this to sanity-check numbers and inform a media plan, not as a promise; the account's own history beats any benchmark.
Before quoting a range, pull what this account already does: pull_<platform>_ads_performance(days=...) and forecast_campaign. Real history for this advertiser is the truth. Benchmarks are for platforms not yet run or for a directional split.
Weight toward demand capture (search) for immediate conversions and demand generation (social) for growth, sized to the objective and the funnel. Show the split with a rationale and projected CPA per channel. Hand off to the media-plan skill to formalize it and launch to ship.
