Generate paid-ad product photography variants from an authorized image and a validated brand profile. Preserve product appearance, explore studio or lifestyle concepts, and check visual quality while recording generation details, costs, and asset information for required human review.
Create paid-ad images from a validated creative brief and brand profile using a configured image provider. Check dimensions, text consistency, and platform requirements, then save approved variants with a manifest recording generation details and costs.
Review X Ads tracking, campaign goals, keyword and conversation targeting, creative, budgets, and brand safety. Receive an evidence-based diagnosis and prioritized recommendations, with gaps in account information and unavailable features clearly marked.
Audit advertising accounts across twelve platforms using account data and documented sources. Identify measurement, budget, creative, and policy issues, then produce prioritized actions with evidence coverage, confidence, and missing information clearly recorded.
Audit Snapchat Ads measurement, mobile and app campaigns, creative, AR and catalog formats, audiences, and budgets. Produce prioritized recommendations with supporting evidence, missing inputs, and brand safety concerns clearly identified.
Research competitors’ public ads, messages, creative formats, and landing pages using official ad libraries and permitted sources. Separate observations from estimates, then identify evidence-backed opportunities, risks, and experiments for paid advertising.
Audit LinkedIn Ads measurement, professional audiences, lead generation, creative, bidding, and budgets. Turn account evidence into prioritized recommendations, while documenting missing data, uncertainty, and policy concerns for B2B advertising reviews.
Calculate advertising costs, revenue relative to ad spend, break-even targets, and budget forecasts. The skill makes inputs and formulas explicit, checks inconsistent data, and compares base, downside, and upside scenarios when uncertainty affects the decision.
Audit how advertising platforms, GA4, and app measurement tools assign credit for conversions. Compare event definitions, reporting windows, and duplicate handling to explain discrepancies and produce an evidence-based measurement improvement plan.
Audit Google Ads conversion measurement, search terms, keywords, creative assets, bidding, budgets, and settings. Use account evidence to identify wasted spend and prioritize improvements across Search, Shopping, Performance Max, and Demand Gen without changing campaigns.
Audit Reddit Ads tracking, campaign structure, community and interest targeting, creative fit, catalogs, and budgets. Receive prioritized findings grounded in account data, with missing inputs, unavailable features, and uncertainty clearly identified.
Prepare paid advertising launches by checking campaign settings, assets, tracking, and policy eligibility. Produce a detailed change plan, then apply supported, tested operations only with explicit approval, remote verification, and a rollback record.
Audit paid-ad landing pages for message consistency, mobile usability, accessibility, performance, forms, consent, tracking, and destination safety. Get evidence-based findings and recommendations ready for experiments to address obstacles to completing the intended action.
Review Facebook and Instagram ads through a read-only audit of measurement, creative, audiences, placements, budgets, and account structure. Receive prioritized recommendations that account for missing evidence and distinguish account, Pixel, and conversion history.
Prepare a Claude Ads project by organizing business goals, ad accounts, data sources, credential references, data retention rules, and approval limits. The result is a validated setup profile for subsequent advertising work.
Diagnose paid advertising performance using account evidence, financial constraints, and experiments. Draft ranked changes to budgets, bids, or ad delivery, and apply supported operations only after approval and state checks, retaining a way to reverse them.
Refresh evidence behind paid advertising guidance by checking platform changes, APIs, policies, regulations, and benchmarks. Record sources and contradictions, flag outdated or unsupported claims, and propose updates grounded in current primary sources.
Compare advertising account snapshots to monitor spending pace, delivery, results, creative fatigue, tracking, and policy status. Separate unexplained changes from seasonality or reporting delays, then record likely causes, confidence, investigation needs, and decision thresholds.
Plan advertising budget allocation, bidding, and spending pace using goals, financial constraints, and evidence about additional spending returns. Compare options and produce a plan with amounts, timing, owners, success measures, and triggers for reversing changes.
Review Amazon Ads campaigns, targeting, search terms, product readiness, budgets, and advertising cost ratios. Get prioritized recommendations tied to supporting evidence, with missing data and uncertainty clearly identified.
Validate Claude Ads data contracts, scoring inputs, run outputs, installation procedures, and release readiness. Return machine-readable pass or fail results with evidence, the most urgent blocker, and recovery steps, while checking source freshness and safe removal boundaries.
Review paid-ad copy, images, and video for clarity, platform fit, accessibility, and consistency with the destination page. Use delivery and response trends to assess creative fatigue and produce prioritized briefs for refreshes or experiments.
Design and evaluate paid-ad experiments with clear hypotheses, comparison groups, sample requirements, and stopping rules. Check data quality before estimating effects, then deliver structured results and a plain-language decision that reflects uncertainty and the population tested.
Create distinct paid advertising concepts, headlines, copy, and production briefs from validated brand information and campaign goals. Each concept connects its message to evidence, audience needs, platform requirements, and a hypothesis to test.
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