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Research competitors' advertising — the creative they run, their angles and offers, and where they compete for the same auctions. Use when a user wants competitive research, creative inspiration, to see what rivals are running, or market positioning for ads.
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SOC 職業分類に基づく
| name | competitor-analysis |
| description | Research competitors' advertising — the creative they run, their angles and offers, and where they compete for the same auctions. Use when a user wants competitive research, creative inspiration, to see what rivals are running, or market positioning for ads. |
See what competitors run so you can position against it, not copy it. Reads and research only; this does not spend money.
Use public_ad_library_intelligence where available for live and recent competitor creative, and web research for offers, landing pages, and positioning. Focus on what is running now and what has run long enough to imply it works.
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.
