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Analyze hour-of-day and day-of-week performance and set ad schedules and bid modifiers to spend when conversions happen. Use when a user wants to optimize ad scheduling, set dayparting, find the best times to run ads, or cut spend during dead hours.
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。
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.
基于 SOC 职业分类
| name | dayparting |
| description | Analyze hour-of-day and day-of-week performance and set ad schedules and bid modifiers to spend when conversions happen. Use when a user wants to optimize ad scheduling, set dayparting, find the best times to run ads, or cut spend during dead hours. |
Spend when the account converts, not evenly around the clock. Reads are free; schedule and modifier changes affect delivery, so confirm before shipping.
Confirm the account: list_connected_accounts.
Pull performance by hour of day and day of week: run_gaql_query on the time segments (Google) or the platform performance pull with a date window long enough to be stable. You want conversions and CPA by time slot, not just clicks.
Build an ad schedule with bid modifiers per slot: raise where it converts, lower or pause where it does not. Keep changes proportionate; do not zero out a slot on weak data.
Apply through the plan tools and confirm. Re-pull after a couple of weeks to check the pattern held; buyer behavior shifts seasonally (see kill-scale-rules for scaling discipline).
