Analytics Skills
86 skills
Data analysis and measurement. Browse the top-rated analytics skills for AI agents — install any into Claude, Cursor, or your favorite agent.
Skills Leaderboard
Compare GEO audits and generate monthly client progress reports with score deltas, trend analysis, and action tracking.
Reference guide to GTM dataLayer, triggers, variables, GA4 tags, and implementation best practices with ready-to-use code.
Query GA4 BigQuery export tables: table structures, nested fields, event_params, user_properties, ecommerce, items. Ready-to-use SQL for funnels, cohorts, reven
Calculate MRR, churn, LTV, CAC, NRR, and cohort analysis. Build board decks with financial metrics, unit economics, and investor reporting.
Design valid A/B tests with hypotheses, sample size calculations, variant specs, and result analysis for experiments.
Reduce signup friction and increase completion rates. Expert guidance on fields, UX, copy, and testing strategies for registration flows.
Design high-converting popups with proven triggers, copy formulas, and frequency rules. Respect user experience while capturing leads.
Calculate MRR, ARR, CAC, LTV, churn rates, and other key SaaS KPIs with health scoring and benchmarking.
Reduce signup friction, identify drop-off points, and optimize field priority and microcopy to increase registration completion rates.
Audit and optimize forms to maximize completion rates. Reduce fields, improve copy, test layouts, and boost submissions.
Analyze traffic sources, identify dark traffic, and fix attribution with UTM tagging and GA4 segmentation strategies.
Design statistically valid A/B tests with hypothesis frameworks, sample size calculators, and analysis checklists to move business metrics.
Validate A/B test results, calculate significance, check sample sizes, and generate data-driven next test hypotheses.
Analyze post performance with user context, diagnose what's working, and produce 3-5 ranked actions ranked by impact.
Analyze content patterns across topics, formats, timing, and tone. Get a Do More / Do Less report with gaps to test.
Prioritize app crashes by impact, set up Firebase Crashlytics, and understand how crash rate affects App Store ranking and retention.
Design and run A/B tests on App Store listings to improve conversion rates. Test icon, screenshots, and video.
Generate A/B test variants for affiliate headlines, CTAs, and landing pages with hypotheses and test plans.
Build AI-parseable charts with text layers, data tables, and structured data for higher AI citation rates.
Learn to design statistically valid A/B tests with hypothesis frameworks, sample size guidance, and result interpretation.
Design metrics frameworks, analyze funnels and cohorts, measure feature adoption, and interpret A/B tests for product-market fit and retention.
Learn to perform EDA, statistical testing, A/B analysis, and predictive modeling with emphasis on rigor and common pitfalls.
Configure PostHog SDKs for event capture, feature flags, A/B tests, and analytics queries. Covers JavaScript, Node.js, Python, and REST API.
Design A/B tests, calculate sample size, analyze results, and plan roadmaps with statistical rigor and frameworks.
Measure website traffic, leads, and geographic performance with GA4. Diagnose what's working and what needs fixing.
Learn to build client-facing local SEO reports that demonstrate value, answer business questions, and drive action.
Extract organic clicks, impressions, CTR, and ranking data from GSC. Identify low-CTR pages, content gaps, indexing issues, and quick wins for local businesses.
Analyze marketing pages and get actionable CRO recommendations. Covers value props, CTAs, trust signals, objections, and page-type-specific strategies.
Expert guidance on form optimization: field strategy, layout, validation, copy, and A/B tests to maximize completion rates.
Run scheduled marketing analysis tasks, query ad platforms via MCP, generate findings with ROI impact estimates.
Form optimization skills: field reduction, layout, copy, mobile UX, multi-step design, error handling, and testing strategies.
Design statistically valid A/B tests, manage experiment backlogs, and build a growth experimentation program with ICE prioritization and playbook documentation.
53-point conversion audit framework: customer focus, narrative arc, copy clarity, design, CTAs, proof. Scored report with prioritized fixes.
Map conversion funnels, score page friction, identify drop-offs, and recommend prioritized optimizations with revenue impact.
A/B test framework with automated winner detection, playbook promotion, and multi-channel experiment tracking via bootstrap CI and Mann-Whitney U testing.
Turn Microsoft Clarity CSV exports into structured CRO analysis with scroll curves, click rankings, and actionable insights for improving page performance.
Create and optimize in-app paywalls, upgrade screens, and feature gates to convert free users to paid. Includes timing, copy, design, and A/B testing strategies
Audit and improve conversion performance on marketing pages with multi-dimensional analysis and behavioral evidence from Clarity.
Reduce signup friction with field optimization, copy testing, and flow redesign strategies grounded in CRO principles.
Set up GA4, GTM, event tracking, UTM parameters, and conversion measurement for marketing and product teams.
Calculate sample sizes, monitor statistical significance, and call winners reliably for Google and Meta ad tests.
CRO framework to optimize homepages, landing pages, pricing, and feature pages for higher conversion rates with prioritized changes.
Analyze Stripe and usage data to identify at-risk churn accounts, score by urgency, and surface structural churn patterns for retention interventions.
Audit and optimize signup funnels with benchmarks, audit frameworks, A/B test hypotheses, and conversion lift estimates.
Design event tracking plans, audit analytics stacks, and interpret app metrics for iOS apps using Firebase, Mixpanel, and App Store Connect.
Guide to GA4 setup, event tracking conventions, conversion marking, User ID, and validation for marketing analytics.
Fetch App Store Connect data via Appeeky API and analyze downloads, revenue, subscriptions, and trials across periods and countries.
Design event tracking plans, configure GA4 and Google Tag Manager, establish naming conventions, and validate analytics implementation.
Analyze App Store rank changes, identify top gainers and losers, and find opportunities from market shifts.
Analyze website traffic, rank, engagement, and traffic sources to evaluate affiliate program strength and competitor websites.