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Recommend and apply bid and bid-strategy changes from performance data — CPC targets, device and audience modifiers, and target CPA/ROAS moves. Use when a user wants to lower CPCs, hit a target CPA or ROAS, or adjust bids across campaigns.
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SOC 職業分類に基づく
| name | bid-optimization |
| description | Recommend and apply bid and bid-strategy changes from performance data — CPC targets, device and audience modifiers, and target CPA/ROAS moves. Use when a user wants to lower CPCs, hit a target CPA or ROAS, or adjust bids across campaigns. |
Move bids toward the target CPA or ROAS using real performance, not guesses. Reads are free; changing bids spends differently, so confirm before shipping.
Confirm the account: list_connected_accounts.
Pull recent performance per campaign and, where available, per ad group and segment: pull_<platform>_ads_performance(days=...) or run_gaql_query for Google detail. Do not act on thin data; a handful of conversions is noise. State the window and volume you based the call on.
Apply through the plan tools or update_campaign_budget where budget is the real constraint. Confirm the change and re-measure after the platform has had time to adjust.
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.
