Plan and analyze A/B tests for Google and Meta advertising. Estimate required traffic and duration, track results, and assess whether observed differences are statistically significant, meaning unlikely to be explained by chance alone.
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Forecast advertising return for Google and Meta over the next 30, 60, and 90 days. Uses performance trends, seasonal patterns, and planned changes to provide scenario ranges, underlying assumptions, risks, and revenue estimates tied to planned spending.
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Build a question set to check whether AI assistants mention your brand. Analyze the answers you collect, compare visibility against competitors, trace cited sources, and receive a prioritized list of opportunities to address gaps.
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Review Google and Meta campaign structures against goals, budgets, and conversion data. Identify excessive segmentation, overlapping targeting, and fragmented budgets, then get consolidation recommendations, an explained account structure, and a migration plan.
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Turn Google and Meta campaign metrics into a plain English executive summary for client reports. Highlights results with specific numbers, explains likely causes, puts problems in context, and suggests next steps connected to the performance data.
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Audit Reddit Ads data to assess community targeting, creative fit, and bidding efficiency. Get prioritized fixes, suggested communities to add or exclude, and feedback on whether ad copy suits the communities it reaches.
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Analyze competitor landing pages from URLs or screenshots to understand their audience, promises, and messaging. Receive a structured score, concrete strengths and weaknesses, and recommendations for differentiating your own positioning and calls to action.
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Compare current and previous Google and Meta campaign data to investigate rising cost per acquisition, the cost of each conversion. Receive contributing factors ranked by impact, affected campaigns or audiences, and prioritized fixes.
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Track how AI assistants describe a brand by comparing repeated answers to a fixed set of questions. The skill flags factual errors and changes in tone, identifies likely sources, and drafts correction requests and updates to owned content.
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Analyze a site and target keywords to identify technical SEO issues, page improvements, missing content, and backlink opportunities. Receive a prioritized action plan and a writing brief with an outline, questions, and suggested internal links.
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Compare Meta ad sets to identify shared audiences and estimate how internal competition affects advertising costs. Receive an overlap map, targeting issues, and recommendations for combining ad sets or excluding audiences to reduce overlap.
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Analyze Google and Meta conversion journeys from the first ad click to a purchase or inquiry. Identify common paths, drop-offs, campaign contributions, and conversion delays to guide budget and targeting adjustments.
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Plan how to divide your advertising budget across Google and Meta channels using recent results. Compare proposed allocations, expected conversions and revenue, and the return from additional spending in each channel.
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Review Google Ads search term reports to find converting queries without dedicated keywords. Group opportunities by theme and estimate volume and cost per conversion, with suggested matching settings, starting bids, and exclusions to reduce overlap.
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Analyze how long visitors take to convert and use those patterns to refine Meta retargeting, advertising to previous visitors. Provides recommended audience windows, confidence levels, spending breakdowns, estimated savings, and bid adjustments based on time since the visit.
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Compare how different attribution models, or ways of assigning conversion credit, change campaign results across Google and Meta. The skill highlights shifts in credited conversions and return on ad spend, then suggests budget adjustments based on the comparison.
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Review landing pages alongside Google and Meta ads to identify mismatched promises, unclear calls to action, and burdensome forms. Get specific recommendations for headlines, offers, and the content visitors see before scrolling.
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Review daily Meta ad performance to spot signs that audiences are tiring of your creatives. Classify ads by urgency using click rates, frequency, costs, and engagement trends, then plan which creatives to replace and when.
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Review a landing page from a URL or screenshot to assess headlines, action buttons, trust signals, and mobile usability. Get specific copy suggestions and a prioritized plan for addressing barriers to signups or purchases.
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Compare Google and Meta advertising results with industry benchmarks suited to your campaign type, budget, and account context. Identify strengths, likely causes of weak performance, and improvement opportunities ranked by potential impact.
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Review Google Ads extensions, the extra links and details shown with ads, across campaigns. Find missing coverage, weak performance, and outdated information, then get replacement copy based on successful ads and landing pages, plus rollout priorities.
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Analyze Google and Meta campaign results by weekday and hour to recommend advertising schedules. Estimate spending reductions, conversions lost, and the impact of moving budget to better periods, while accounting for limited data.
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Create a complete email sequence from the target audience, offer, buying concerns, and brand voice. Get subject line options, preview text, full messages, calls to action, and a timing plan that keeps the tone consistent.
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Analyze how often people see Meta ads and where repeated exposure starts reducing performance. Get campaign-specific frequency cap recommendations, estimated spending savings, and projections of additional reach from redirecting spending toward people who have not seen the ads.
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