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.

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Skills Leaderboard

#SkillScore
1
Generate GEO monthly delta reports comparing audits

Compare GEO audits and generate monthly client progress reports with score deltas, trend analysis, and action tracking.

4.5
2
Set up Google Tag Manager event tracking and configuration

Reference guide to GTM dataLayer, triggers, variables, GA4 tags, and implementation best practices with ready-to-use code.

4.5
3
Query GA4 BigQuery export schema and build SQL against nested event data

Query GA4 BigQuery export tables: table structures, nested fields, event_params, user_properties, ecommerce, items. Ready-to-use SQL for funnels, cohorts, reven

4.5
4
Calculate and report SaaS business metrics

Calculate MRR, churn, LTV, CAC, NRR, and cohort analysis. Build board decks with financial metrics, unit economics, and investor reporting.

4.5
5
Set up and design A/B tests and experiments

Design valid A/B tests with hypotheses, sample size calculations, variant specs, and result analysis for experiments.

4.3
6
Optimize signup and registration flows for conversion

Reduce signup friction and increase completion rates. Expert guidance on fields, UX, copy, and testing strategies for registration flows.

4.3
7
Optimize popups and modals for conversion

Design high-converting popups with proven triggers, copy formulas, and frequency rules. Respect user experience while capturing leads.

4.3
8
Calculate and analyze SaaS subscription metrics

Calculate MRR, ARR, CAC, LTV, churn rates, and other key SaaS KPIs with health scoring and benchmarking.

4.3
9
Optimize signup and registration flows for conversion

Reduce signup friction, identify drop-off points, and optimize field priority and microcopy to increase registration completion rates.

4.3
10
Optimize form completion rates and field design

Audit and optimize forms to maximize completion rates. Reduce fields, improve copy, test layouts, and boost submissions.

4.3
11
Analyze website traffic sources and attribution

Analyze traffic sources, identify dark traffic, and fix attribution with UTM tagging and GA4 segmentation strategies.

4.3
12
Design and validate A/B tests with statistical rigor

Design statistically valid A/B tests with hypothesis frameworks, sample size calculators, and analysis checklists to move business metrics.

4.3
13
Analyze A/B test results with statistical rigor

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

4.3
14
Analyze social media post performance using user data or BlackTwist

Analyze post performance with user context, diagnose what's working, and produce 3-5 ranked actions ranked by impact.

4.3
15
Identify content patterns from social media performance

Analyze content patterns across topics, formats, timing, and tone. Get a Do More / Do Less report with gaps to test.

4.3
16
Triage and reduce app crashes using crash analytics data

Prioritize app crashes by impact, set up Firebase Crashlytics, and understand how crash rate affects App Store ranking and retention.

4.3
17
A/B test App Store product pages to improve conversion

Design and run A/B tests on App Store listings to improve conversion rates. Test icon, screenshots, and video.

4.3
18
Generate A/B test variants for affiliate content

Generate A/B test variants for affiliate headlines, CTAs, and landing pages with hypotheses and test plans.

4.3
19
Create GEO-optimized data visualizations with AI-parseable text layers

Build AI-parseable charts with text layers, data tables, and structured data for higher AI citation rates.

4.3
20
Design statistically valid A/B tests and experiments

Learn to design statistically valid A/B tests with hypothesis frameworks, sample size guidance, and result interpretation.

4.3
21
Analyze product funnels, cohorts, and metrics frameworks

Design metrics frameworks, analyze funnels and cohorts, measure feature adoption, and interpret A/B tests for product-market fit and retention.

4.3
22
Perform exploratory data analysis, statistical testing, and predictive modeling

Learn to perform EDA, statistical testing, A/B analysis, and predictive modeling with emphasis on rigor and common pitfalls.

4.3
23
Set up and manage PostHog product analytics, feature flags, and experiments

Configure PostHog SDKs for event capture, feature flags, A/B tests, and analytics queries. Covers JavaScript, Node.js, Python, and REST API.

4.3
24
Design and analyze A/B tests with statistical rigor

Design A/B tests, calculate sample size, analyze results, and plan roadmaps with statistical rigor and frameworks.

4.3
25
Analyze website traffic and conversions with GA4

Measure website traffic, leads, and geographic performance with GA4. Diagnose what's working and what needs fixing.

4.3
26
Build local SEO reports that drive action, not just data dumps

Learn to build client-facing local SEO reports that demonstrate value, answer business questions, and drive action.

4.3
27
Extract performance data from Google Search Console

Extract organic clicks, impressions, CTR, and ranking data from GSC. Identify low-CTR pages, content gaps, indexing issues, and quick wins for local businesses.

4.3
28
Optimize marketing pages for conversions

Analyze marketing pages and get actionable CRO recommendations. Covers value props, CTAs, trust signals, objections, and page-type-specific strategies.

4.3
29
Optimize form completion rates and field strategy

Expert guidance on form optimization: field strategy, layout, validation, copy, and A/B tests to maximize completion rates.

4.3
30
Execute scheduled marketing analysis tasks from a centralized queue

Run scheduled marketing analysis tasks, query ad platforms via MCP, generate findings with ROI impact estimates.

4.3
31
Optimize forms for conversion and completion rate

Form optimization skills: field reduction, layout, copy, mobile UX, multi-step design, error handling, and testing strategies.

4.3
32
Design and run A/B tests and growth experiments

Design statistically valid A/B tests, manage experiment backlogs, and build a growth experimentation program with ICE prioritization and playbook documentation.

4.3
33
Audit landing pages against 53-point conversion framework

53-point conversion audit framework: customer focus, narrative arc, copy clarity, design, CTAs, proof. Scored report with prioritized fixes.

4.3
34
Analyze sales funnels and quantify optimization opportunities

Map conversion funnels, score page friction, identify drop-offs, and recommend prioritized optimizations with revenue impact.

4.3
35
Create and analyze marketing experiments with auto-promoted winners

A/B test framework with automated winner detection, playbook promotion, and multi-channel experiment tracking via bootstrap CI and Mann-Whitney U testing.

4.3
36
Analyze Clarity heatmap exports for CRO insights

Turn Microsoft Clarity CSV exports into structured CRO analysis with scroll curves, click rankings, and actionable insights for improving page performance.

4.3
37
Optimize in-app paywall and upgrade screen conversions

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

4.3
38
Audit and improve page conversion performance

Audit and improve conversion performance on marketing pages with multi-dimensional analysis and behavioral evidence from Clarity.

4.3
39
Optimize signup flows for conversion

Reduce signup friction with field optimization, copy testing, and flow redesign strategies grounded in CRO principles.

4.3
40
Set up and audit analytics tracking implementation

Set up GA4, GTM, event tracking, UTM parameters, and conversion measurement for marketing and product teams.

4.3
41
Design statistically valid A/B tests for Google and Meta ads

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

4.3
42
Optimize marketing pages for conversion

CRO framework to optimize homepages, landing pages, pricing, and feature pages for higher conversion rates with prioritized changes.

4.0
43
Identify and score churn-risk accounts with early warning signals

Analyze Stripe and usage data to identify at-risk churn accounts, score by urgency, and surface structural churn patterns for retention interventions.

4.0
44
Audit and optimize signup conversion funnels

Audit and optimize signup funnels with benchmarks, audit frameworks, A/B test hypotheses, and conversion lift estimates.

4.0
45
Set up app analytics tracking and interpret performance data

Design event tracking plans, audit analytics stacks, and interpret app metrics for iOS apps using Firebase, Mixpanel, and App Store Connect.

4.0
46
Set up and audit GA4 tracking, events, and conversions

Guide to GA4 setup, event tracking conventions, conversion marking, User ID, and validation for marketing analytics.

4.0
47
Analyze App Store Connect performance metrics

Fetch App Store Connect data via Appeeky API and analyze downloads, revenue, subscriptions, and trials across periods and countries.

4.0
48
Set up and audit analytics tracking implementation

Design event tracking plans, configure GA4 and Google Tag Manager, establish naming conventions, and validate analytics implementation.

4.0
49
Analyze App Store chart rank movements and identify gainers, losers, and new entries

Analyze App Store rank changes, identify top gainers and losers, and find opportunities from market shifts.

4.0
50
Analyze website traffic and advertiser strength for affiliate decisions

Analyze website traffic, rank, engagement, and traffic sources to evaluate affiliate program strength and competitor websites.

4.0