irinabuht12-oss/marketing-skills

Create rank-able programmatic SEO templates with title patterns, linking logic, schema, and thin-content safeguards.

Compare how different attribution models shift credit between campaigns to uncover budget misallocation and improve ROI.

Validate A/B test results, calculate significance, check sample sizes, and generate data-driven next test hypotheses.

Optimize ad budgets across Google, Meta, TikTok using MER, marginal ROAS, and diminishing returns analysis.

Calculate sample sizes, monitor statistical significance, and call winners reliably for Google and Meta ad tests.

Analyze Reddit campaigns for targeting, creative, and bidding inefficiencies with benchmarks and actionable subreddit fixes.

Model CPA, ROAS, and volume at different budget levels using account data and diminishing returns patterns.

Analyze LinkedIn campaigns against B2B benchmarks. Identify CTR issues, audience quality, form friction, and budget problems.

Break down Google Ads Quality Score by component, identify root causes, and prioritize fixes by CPC impact.

Allocate paid media budgets across Google and Meta channels using marginal efficiency analysis to maximize ROAS and conversions.

Project ROAS for the next 30/60/90 days using trends, seasonality, and planned changes. Get scenario ranges, not false precision.

Research framework and templates for building detailed buyer personas with pain points, objections, and messaging for B2B marketing.

Generate high-performing ad copy variants by analyzing winning elements from your best ads and testing new angles systematically.

Segment campaign performance by location, flag underperformers, and optimize geographic bid adjustments.

Segment ad campaigns by device, find performance gaps, and recommend bid adjustments or landing page fixes.

Systematically analyze Google Ads accounts to detect wasted spend, identify negative keyword gaps, and prioritize optimization.

Evaluate campaign structure, identify segmentation issues, consolidation opportunities, and budget allocation problems.

Analyze Meta frequency data to find saturation points, recommend optimal caps by objective, and estimate spend savings from reducing overexposure.

Analyze landing pages for conversion killers, headline effectiveness, CTA placement, trust signals, and mobile friction with prioritized fixes.

Identify duplicate keywords and overlapping match types competing in Google Ads auctions, calculate CPC waste, and get optimization recommendations.

Analyze competitor landing pages with a 100-point rubric for positioning, messaging, CTAs, and trust signals. Generate differentiation strategies.

Transform one piece into 8+ platform-optimized derivatives for LinkedIn, Twitter, email, ads, and video while maintaining brand voice.

Create complete nurture email sequences with AIDA, PAS, and BAB formulas, subject line testing, and voice consistency guidelines.

Systematically review Google Ads extension coverage and performance, identify gaps and stale copy, and generate replacements based on current offers.

Optimize retargeting windows by analyzing time-to-conversion data across audience segments and traffic sources.

Get campaign-specific bid strategy recommendations based on conversion volume, CPA consistency, and performance trends with risk assessments.

Generate consistent UTM parameters, GA4 event specs, and tracking taxonomy for multi-channel marketing campaigns with platform templates.

Design and implement consistent naming conventions across Google Ads and Meta campaigns with taxonomy, reference sheets, and bulk-rename guidance.

Catch CPC spikes, CVR drops, and spend surges across ad accounts with root cause analysis and impact ranking.

Identify converting search terms without keywords, cluster by theme, estimate volume and CPA, and recommend bids for expansion.

Audit landing pages against Google and Meta ad copy to catch message mismatches, form friction, and CTA clarity issues.

Diagnose CPA spikes across Google & Meta campaigns. Isolate root causes—audience fatigue, bid shifts, creative decay, landing page drops—ranked by impact.

Segment ads by day/hour, identify performance patterns, calculate schedule savings and conversion impact, and get specific optimization recommendations.

Map user journeys from ad click to conversion. Identify drop-offs, multi-touch paths, and campaign contributions at each funnel stage.

Analyze Google and Meta ads for zero-conversion spend and generate exclusion lists by theme, placement, and audience.

Analyze Meta ad accounts for creative fatigue, audience overlap, tracking health, and scaling opportunities using performance data thresholds.

Generate structured weekly briefings comparing Google and Meta performance across accounts with ranked priorities and actionable recommendations.

Identify audience overlap between Meta ad sets, quantify CPM inflation, and get consolidation recommendations to reduce auction competition.

Turn raw Google and Meta campaign metrics into executive summary narratives clients understand.

Execute technical SEO audits, on-page analysis, content gap research, and backlink mapping to generate prioritized action plans and content briefs.

Track daily spend pacing, project end-of-month results, and calculate budget adjustments to hit monthly targets across campaigns.

Compare your Google and Meta ads metrics against industry benchmarks adjusted for account size, vertical, and maturity to identify quick wins.

Audit competitor ads on Meta Ad Library and Google Ads. Identify messaging gaps, creative patterns, and high-ROI testing opportunities.

Detect ad creative fatigue early with trend analysis. Prioritize rotation by CTR decay, frequency buildup, and audience overexposure patterns.