菜单
Measure which platforms and touches actually drive conversions across channels, compare attribution views, and read assisted conversions and conversion paths. Use when a user asks what is really working, wants cross-platform attribution, or questions a single platform's self-reported numbers.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
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 | attribution |
| description | Measure which platforms and touches actually drive conversions across channels, compare attribution views, and read assisted conversions and conversion paths. Use when a user asks what is really working, wants cross-platform attribution, or questions a single platform's self-reported numbers. |
Every platform claims the conversion. Attribution is how you see the truth across them and spend where it actually works. Reads only; this is measurement, not a spend change.
Confirm the account: list_connected_accounts.
get_attribution for Synter's cross-platform picture, and reconcile_platforms to line up what each platform reports against a common source. Pull each platform's own numbers (pull_<platform>_ads_performance) and GA4 (ga4_run_report) so you can see where they disagree and why.
Reallocate toward channels that drive incremental conversions, not the ones best at claiming credit. Where the stakes justify it, the true test is a holdout, not a model; be clear that attribution models estimate and only an incrementality test proves lift.
