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.
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.
Compare Google and Meta campaign results across mobile, desktop, and tablet. Identify device performance gaps, investigate whether ads, landing pages, or audiences explain them, and receive recommendations for bids, campaign splits, and page changes.
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.
Compare Google and Meta campaign results across countries, states, cities, or postal codes. Identify weak and strong regions, then get recommendations for bid changes, separate campaigns, and budget redistribution based on meaningful performance differences.
Audit Google Ads exports or pasted campaign data to find wasted spend, missing negative keywords, account structure problems, and bidding issues. Receive a health score, specific fixes, and a prioritized action plan with confidence levels.
Build detailed B2B customer profiles from product and market information. Map buyer roles, daily problems, purchase concerns, and buying triggers, then develop messaging angles and channel ideas with an explicit confidence assessment.
Review LinkedIn campaign exports or pasted metrics to identify weak click rates, audience targeting issues, form friction, and inefficient spending. Receive a structured audit with B2B benchmark comparisons and prioritized recommendations.
Audit Facebook and Instagram advertising data for repeated-ad fatigue, overlapping audiences, campaign structure, and conversion tracking issues. Receive an account health summary, prioritized recommendations, and opportunities to increase budgets where performance supports expansion.
Track Google and Meta ad spending against monthly budgets across accounts and campaigns. Project spending at month end, flag overuse or underuse, and calculate daily budget changes while accounting for weekday and weekend spending patterns.
Analyze Google Ads Quality Score, a keyword-level quality rating, across expected click-through rate, ad relevance, and landing page experience. Identify weak components and their causes, then prioritize fixes by potential click-cost savings and conversion impact.
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.
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.
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.
Find search terms, placements, audiences, and ads that spend money but generate few or no conversions in Google and Meta accounts. The skill prepares uploadable exclusion lists and groups spending by category to help prioritize account cleanup.
Turn weekly Google and Meta advertising data into a plain English briefing. Compare results with the previous week and four-week average, identify urgent issues and successful campaigns, and receive specific priorities for the coming week.
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.
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.
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.
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.
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.
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.
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.
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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